en pl
en pl

Central European Management Journal

Zobacz wydanie
Rok 2018 
Tom 26 
Numer 2

International Contexts of Social Media and e-WoM Communication in the Customer Decision-Making Process

Małgorzata Bartosik-Purgat
Poznań University of Economics and Business

2018 26 (2) Central European Management Journal

DOI 10.7206/jmba.ce.2450-7814.226

Zawartość artykułu

Abstrakt

Purpose: The main purpose of the paper is to identify the importance of social media in e-WoM (electronic word of mouth) in relation to the two stages of consumer behavior, pre-purchase and post-consumption, in groups of different gender and countries. The article answers three research questions. Whether the frequency of using the most popular social media influences the range of using them in e-WoM among individual users? Which stage of consumer behavior process is more dependent on social media, pre-purchase or post-consumption? Do any differences exist between men and women in the scope under consideration?

Methodology: The analysis bases on literature studies and empirical data collected among 1246 respondents from four countries: China, Poland, the United States of America, and Turkey. Findings: General conclusions show differences between these countries in relation to the use of social media for e-WoM. Moreover, results confirmed the findings of literature analysis wherever consumers used social media at the stage of looking for information and advice about products (pre-purchase). Gender appeared as a significant differentiating factor that influences e-WoM behavior.

Research limitations: The design of the research (samples’ size and sampling method) could place some limits on the capacity of the study to generalize the results to other national contexts. Research implications: The results offer information for marketers who use social media communication to build brands’ loyalty in the international marketplace and individuals who rely on experiences shared through social media.

Originality: The content of the paper is important, timely, original, and focusses on the subject infrequently studied in the literature. The information from the paper applies to numerous groups of stakeholders.

Powiązania

  1. Andreasen, A.R. (1965). Attitudes And Customer Behaviour: A Decision Model. In: L.E. Preston (ed.), New Research In Marketing. Berkeley, Institute of Business and Economic Research, University of California. [Google Scholar]
  2. Bachleda, C. and Berrada-Fathi, B. (2016). Is negative eWOM more influential than negative pWOM? Journal of Service Theory and Practice, 26(1): 109–132, https://doi.org/10.1108/JSTP-11-2014-0254 [Google Scholar]
  3. Balaji, M.S., Khong, K.W. and Chong, A.Y.L. (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53(4): 528–540. [Google Scholar]
  4. Baird, C.H. and Parasnis, G. (2011). From social media to social customer relationship management. Strategy & Leadership, 39(5): 30–37, https://doi.org/10.1108/10878571111161507 [Google Scholar]
  5. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  6. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  7. Blackwell, R.D., Miniard, P.W. and Engel, J.F. (2001). Consumer behavior, South-Western Thompson Learning Publ., UK. [Google Scholar]
  8. Blocked in China, http://www.blockedinchina.net/?siteurl=facebook.com (4.02.2017). [Google Scholar]
  9. Branthwaite, A. and Patterson, S. (2011). The power of qualitative research in the era of social media. Qualitative Market Research: An International Journal, 14(4): 430–440, https://doi.org/10.1108/13522751111163245 [Google Scholar]
  10. Brown, J., Broderick, A.J. and Lee, N. (2007). Word of mouth communication within online communities: conceptualizing the online social network. Journal of Interactive Marketing, 21(3): 2–20, https://doi.org/10.1002/dir.20082 [Google Scholar]
  11. Chan, T.Ch.K., Cheung, Ch.M.K., Shi, N. and Lee, M.K.O. (2015). Gender differences in satisfaction with Facebook users. Industrial Management & Data Systems, 115(1): 182–206, https://doi.org/10.1108/IMDS-08-2014-0234 [Google Scholar]
  12. Cheung, C.M.K. and Thadani, D.R. (2012). The impact of electronic word-of-mouth communication: a literature analysis and integrative model. Decision Support Systems, 54(1): 461–470, https://doi.org/10.1016/j.dss.2012.06.008 [Google Scholar]
  13. Christodoulides, G., Michaelidou, N. and Argyriou, E. (2012). Cross-national differences in e-WOM influence. European Journal of Marketing, 46(11/12): 1689–1707, https://doi.org/10.1108/03090561211260040 [Google Scholar]
  14. Chu, S.C. and Choi, S.M. (2011). Electronic word-of-mouth in social networking sites: a cross-cultural study of the United States and China. Journal of Global Marketing, 24(3): 263–281, https://doi.org/10.1080/08911762.2011.592461 [Google Scholar]
  15. Chu, S.-Ch. and Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1): 47–75, https://doi.org/10.2501/IJA-30-1-047-075 [Google Scholar]
  16. Craig, C.S. and Douglas, S.P. (2006). Beyond national culture: implications of cultural dynamics for consumer research. International Marketing Review, 23(3): 322–342, https://doi.org/10.1108/02651330610670479 [Google Scholar]
  17. Davies, J., Musango, J.K. and Brent, A.C. (2016). A systems approach to understanding the effect of Facebook use on the quality of interpersonal communication Technology in Society, 44: 55–65, https://doi.org/10.1016/j.techsoc.2015.10.003 [Google Scholar]
  18. Deaux, K. and Major, B. (1987). Putting gender into context: an interactive model of gender-related behavior. Psychological Review, 94(3): 369–389, https://doi.org/10.1037/0033-295X.94.3.369 [Google Scholar]
  19. Di Leonardo, M. (1987). The female world of cards and holidays: women, families and the work of kinship. Signs: Journal of Women in Culture in Society, 12(3): 440–453, https://doi.org/10.1086/494338 [Google Scholar]
  20. Edelman, D.C. (2010). Branding in the digital age: you’re spending your money in all the wrong places. Harvard Business Review, 88: 62–69. [Google Scholar]
  21. Engel, J.F., Kollat, D.T. and Blackwell, R.D. (1968). Consumer Behaviour. Chicago: The Dryden Press. [Google Scholar]
  22. Erkan, I. and Evans, Ch. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61: 47–55, https://doi.org/10.1016/j.chb.2016.03.003 [Google Scholar]
  23. Galalae, C. and Voicu, A. (2013). Consumer Behaviour Research: Jacquard Weaving in the Social Sciences. Management Dynamics in the Knowledge Economy, 1(2): 277–292. [Google Scholar]
  24. Ghezzi, A. and Dramitinos, M. (2016). Towards a Future Internet infrastructure: Analyzing the multidimensional impacts of assured quality Internet interconnection. Telematics and Informatics, 33(2): 613–630, https://doi.org/10.1016/j.tele.2015.10.003 [Google Scholar]
  25. Grégoire, Y., Salle, A. and Tripp, T.M. (2014). Managing social media crises with your customers: the good, the bad, and the ugly. Business Horizons, 58(2): 173–182, https://doi.org/10.1016/j.bushor.2014.11.001 [Google Scholar]
  26. Hamid, S., Waycott, J., Kurnia, S. and Chang, S. (2015). Understanding students’ perceptions of the benefits of online social networking use for teaching and learning. The Internet and Higher Education, 26: 1–9, https://doi.org/10.1016/j.iheduc.2015.02.004 [Google Scholar]
  27. Hansen, F. (1972). Consumer Choice Behaviour: A Cognitive Theory. New York: Free Press. [Google Scholar]
  28. Hauke, J. and Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlation coefficient on the same sets of data. Quaestiones Geographicae, 30(2): 87–93, https://doi.org/ 10.2478/v10117-011-0021-1 [Google Scholar]
  29. Hennig-Thurau, T., Gwinner, K., Walsh, G. and Gremler, D. (2004). Electronic word-of-mouth via consumer opinion platforms: what motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1): 38–52, https://doi.org/10.1002/dir.10073 [Google Scholar]
  30. Hennig-Thurau, T., Malthouse, E.C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A. and Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3): 311–330, https://doi.org/ 0.1177/1094670510375460 [Google Scholar]
  31. Ho, Ch.-W. (2014). Consumer behavior on Facebook: Does consumer participation bring positive consumer evaluation of the brand? EuroMed Journal of Business, 9(3): 252–267, https://doi.org/10.1108/EMJB-12-2013-0057 [Google Scholar]
  32. Howard, J.A. and Sheth, J.N. (1969). The Theory of Buyers Behaviour. New York Wiley: Sons. [Google Scholar]
  33. Hsu, M-H., Tien, S-W., Lin, H-Ch. and Chang, Ch-M. (2015). Understanding the roles of cultural differences and socio-economic status in social media continuance intention. Information Technology & People, 28(1): 224–241, https://doi.org /10.1108/ITP-01-2014-0007 [Google Scholar]
  34. Huang, M., Cai, F., Tsang, A.S.L. and Zhou, N. (2011). Making your online voice loud: the critical role of WOM information. European Journal of Marketing, 45(7/8): 1277–1297, https://doi.org /10.1108/0309561111137714 [Google Scholar]
  35. Jalilvand, M.R. and Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4): 460–476, https://doi.org / 10.1108/02634501211231946 [Google Scholar]
  36. Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J. and Moon, A. (2012). Gender, Internet experience, Internet identification, and Internet anxiety: a ten-year followup. Cyberpsychology, Behavior, and Social Networking, 15(7): 370–372, https://doi.org / 10.1089/cyber.2012.0033 [Google Scholar]
  37. Junco, R., Merson, D. and Salter, D.W. (2010). The effect of gender, ethnicity, and income on college students’ use of communication technologies. Cyberpsychology, Behavior and Social Networking, 13(6): 619–627, https://doi.org /10.1089/cyber.2009.0357 [Google Scholar]
  38. Kaplan, A.M. and Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53: 59–68, https://doi.org /10.1016/j.bushor.2009.09.003 [Google Scholar]
  39. Kemp, S. (2016). Digital in 2016 report: We Are Social’s, 27 January 2016, http://wearesocial.com/uk/special-reports/digital-in-2016 (10.12.2016). [Google Scholar]
  40. Kemp, S. (2015). Digital, Social & Mobile Worldwide in 2015, 21 January 2015, http://wearesocial.net/blog/2015/01/digital-social-mobile-worldwide-2015 (30.11.2016). [Google Scholar]
  41. Khan, G.F. and Vong, S. (2014). Virality over YouTube: an empirical analysis. Internet Research, 24(5): 629–647, https://doi.org /10.1108/IntR-05-2013-0085 [Google Scholar]
  42. Kim, K.S., Sin, S.C.J. and Tsai, T.I. (2014). Individual Differences in Social Media Use for Information Seeking. The Journal of Academic Librarianship, 40: 171–178, https://doi.org /10.1016/j.acalib.2014.03.001 [Google Scholar]
  43. Kucukemiroglu, S. and Kara, A. (2015). Online word-of-mouth communication on social networking sites: An empirical study of Facebook users. International Journal of Commerce and Management, 25(1): 2–20, https://doi.org /10.1108/IJCoMA-11-2012-0070 [Google Scholar]
  44. Lee, J., Park, D-H. and Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2): 187–206, https://doi.org /10.1108/10662241111123766 [Google Scholar]
  45. Lim, J-S., Lim, K-S. and Heinrichs, J.H. (2014). Gender and mobile access method differences of Millennials in social media evaluation and usage: an empirical test. The Marketing Management Journal, 24(2): 124–135. [Google Scholar]
  46. Lin, H., Fan, W. and Chau, P.Y. (2014). Determinants of users’ continuance of SNS: a self-regulation perspective. Information & Management, 51(5): 595–603, https://doi.org. 10.1016/j.im.2014.03.010 [Google Scholar]
  47. Madden, M. and Zickuhr, K. (2011). 65% of online adults use social networking sites, http://www.pewInternet.org/media/files/reports/2011/pip-sns-update-2011.pdf (4.09.15). [Google Scholar]
  48. Mikalef, P., Giannakos, M. and Pateli, A. (2013). Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research, 8: 17–34, https://doi.org /10.4067/S0718-18762013000100003. [Google Scholar]
  49. Moore, K. and McElroy, J.C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1): 267–274, https://doi.org /10.1016/j.chb.2011.09.009 [Google Scholar]
  50. Muscanell, N.L. and Guadagno, R.E. (2012). Make new friends or keep the old: gender and personality differences in social networking use. Computers in Human Behavior, 28: 107–112, https://doi.org /10.1016/j.chb.2011.08.016 [Google Scholar]
  51. Nadkarni, A. and Hofmann, S.G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3): 243–249, https://doi.org /10.1016/j.paid.2011.11.007 [Google Scholar]
  52. Nunnally, J.C. (1978). Psychometric Theory. 2nd Edition. New York: McGraw-Hill. [Google Scholar]
  53. O’Reilly, K. and Marx, S. (2011). How young, technical consumers assess online WOM credibility. Qualitative Market Research: An International Journal, 14(4): 330–359, https://doi.org /10.1108/13522751111163191 [Google Scholar]
  54. Ott, R.L. and Longnecker, M.T. (2015). An Introduction to Statistical Methods and Data Analysis, 7th Edition, Brooks Cole Ed. [Google Scholar]
  55. Phelps, J., Lewis, R., Mobilio, L., Perry, D. and Raman, N. (2004). Viral marketing or electronic wordof- mouth advertising: examining consumer responses and motivations to pass along e-mail. Journal of Advertising Research, 44(4): 333–348, https://doi.org /10.1017/S0021849904040371 [Google Scholar]
  56. Ruleman, A.B. (2012). Social media at the university: a demographic comparison. New Library World, 113(7/8): 316–332, https://doi.org /10.1108/03074801211244940 [Google Scholar]
  57. Sanchez-Franco, M.J., Ramos, A.F.V. and Velicia, F.A.M. (2009). The moderating effect of gender on relationship quality and loyalty toward Internet service providers. Information & Management, 46(3): 196–202, https://doi.org /10.1016/j.im.2009.02.001 [Google Scholar]
  58. Schiffman, L.G., Kanuk, L.L., and Wisenblit, J. (2010). Consumer Behaviour. Tenth Edition. Pearson. [Google Scholar]
  59. See-To, E.W.K. and Ho, K.K.W. (2014). Value co-creation and purchase intention in social network sites: the role of electronic word-of-mouth and trust – a theoretical analysis. Computers in Human Behaviour, 31(1): 182–189, https://doi.org/ 10.1016/j.chb.2013.10.013 [Google Scholar]
  60. Solomon, M., Bamossy, G., Askegaard, S. and Hogg, M.K. (2010). Consumer Behaviour. A European Perspective. Harlow: Pearson Education. [Google Scholar]
  61. Special, W.P. and Li-Barber, K.T. (2012). Self-disclosure and student satisfaction with facebook. Computers in Human Behavior, 28(2): 624–630, https://doi.org /10.1016/j.chb.2011.11.008 [Google Scholar]
  62. Taiminen, H.M. and Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4): 633–651, https://doi.org / 10.1108/JSBED-05-2013-0073 [Google Scholar]
  63. Trauth, E. (2013). The role of theory in gender and information systems research. Information and Organization, 23(4): 277–293, https://doi.org / 10.1016/j.infoandorg.2013.08.003 [Google Scholar]
  64. Valos, M.J., Habibi, F.H., Casidy, R., Driesener, C.B. and Maplestone, V.L. (2016). Exploring the integration of social media within integrated marketing communication frameworks. Marketing Intelligence & Planning, 34(1): 19–40, https://doi.org /10.1108/MIP-09-2014-0169 [Google Scholar]
  65. Wallace, E., Buil, E. and De Chernatony, L. (2014). Consumer engagement with self-expressive brands: brand love and WOM outcomes. Journal of Product & Brand Management, 23(1): 33–42, https://doi.org /10.1108/JPBM-06-2013-0326 [Google Scholar]
  66. Wang, T., Yeh, R.K-J., Chen, Ch. and Tsydypov, Z. (2016). What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics, 33(4): 1034–1047, https://doi.org /10.1016/j.tele.2016.03.005 [Google Scholar]
  67. Whiting, A. and Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4): 362–369, https://doi.org /10.1108/QMR-06-2013-0041 [Google Scholar]
  68. Andreasen, A.R. (1965). Attitudes And Customer Behaviour: A Decision Model. In: L.E. Preston (ed.), New Research In Marketing. Berkeley, Institute of Business and Economic Research, University of California. [Google Scholar]
  69. Bachleda, C. and Berrada-Fathi, B. (2016). Is negative eWOM more influential than negative pWOM? Journal of Service Theory and Practice, 26(1): 109–132, https://doi.org/10.1108/JSTP-11-2014-0254 [Google Scholar]
  70. Balaji, M.S., Khong, K.W. and Chong, A.Y.L. (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53(4): 528–540. [Google Scholar]
  71. Baird, C.H. and Parasnis, G. (2011). From social media to social customer relationship management. Strategy & Leadership, 39(5): 30–37, https://doi.org/10.1108/10878571111161507 [Google Scholar]
  72. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  73. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  74. Blackwell, R.D., Miniard, P.W. and Engel, J.F. (2001). Consumer behavior, South-Western Thompson Learning Publ., UK. [Google Scholar]
  75. Blocked in China, http://www.blockedinchina.net/?siteurl=facebook.com (4.02.2017). [Google Scholar]
  76. Branthwaite, A. and Patterson, S. (2011). The power of qualitative research in the era of social media. Qualitative Market Research: An International Journal, 14(4): 430–440, https://doi.org/10.1108/13522751111163245 [Google Scholar]
  77. Brown, J., Broderick, A.J. and Lee, N. (2007). Word of mouth communication within online communities: conceptualizing the online social network. Journal of Interactive Marketing, 21(3): 2–20, https://doi.org/10.1002/dir.20082 [Google Scholar]
  78. Chan, T.Ch.K., Cheung, Ch.M.K., Shi, N. and Lee, M.K.O. (2015). Gender differences in satisfaction with Facebook users. Industrial Management & Data Systems, 115(1): 182–206, https://doi.org/10.1108/IMDS-08-2014-0234 [Google Scholar]
  79. Cheung, C.M.K. and Thadani, D.R. (2012). The impact of electronic word-of-mouth communication: a literature analysis and integrative model. Decision Support Systems, 54(1): 461–470, https://doi.org/10.1016/j.dss.2012.06.008 [Google Scholar]
  80. Christodoulides, G., Michaelidou, N. and Argyriou, E. (2012). Cross-national differences in e-WOM influence. European Journal of Marketing, 46(11/12): 1689–1707, https://doi.org/10.1108/03090561211260040 [Google Scholar]
  81. Chu, S.C. and Choi, S.M. (2011). Electronic word-of-mouth in social networking sites: a cross-cultural study of the United States and China. Journal of Global Marketing, 24(3): 263–281, https://doi.org/10.1080/08911762.2011.592461 [Google Scholar]
  82. Chu, S.-Ch. and Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1): 47–75, https://doi.org/10.2501/IJA-30-1-047-075 [Google Scholar]
  83. Craig, C.S. and Douglas, S.P. (2006). Beyond national culture: implications of cultural dynamics for consumer research. International Marketing Review, 23(3): 322–342, https://doi.org/10.1108/02651330610670479 [Google Scholar]
  84. Davies, J., Musango, J.K. and Brent, A.C. (2016). A systems approach to understanding the effect of Facebook use on the quality of interpersonal communication Technology in Society, 44: 55–65, https://doi.org/10.1016/j.techsoc.2015.10.003 [Google Scholar]
  85. Deaux, K. and Major, B. (1987). Putting gender into context: an interactive model of gender-related behavior. Psychological Review, 94(3): 369–389, https://doi.org/10.1037/0033-295X.94.3.369 [Google Scholar]
  86. Di Leonardo, M. (1987). The female world of cards and holidays: women, families and the work of kinship. Signs: Journal of Women in Culture in Society, 12(3): 440–453, https://doi.org/10.1086/494338 [Google Scholar]
  87. Edelman, D.C. (2010). Branding in the digital age: you’re spending your money in all the wrong places. Harvard Business Review, 88: 62–69. [Google Scholar]
  88. Engel, J.F., Kollat, D.T. and Blackwell, R.D. (1968). Consumer Behaviour. Chicago: The Dryden Press. [Google Scholar]
  89. Erkan, I. and Evans, Ch. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61: 47–55, https://doi.org/10.1016/j.chb.2016.03.003 [Google Scholar]
  90. Galalae, C. and Voicu, A. (2013). Consumer Behaviour Research: Jacquard Weaving in the Social Sciences. Management Dynamics in the Knowledge Economy, 1(2): 277–292. [Google Scholar]
  91. Ghezzi, A. and Dramitinos, M. (2016). Towards a Future Internet infrastructure: Analyzing the multidimensional impacts of assured quality Internet interconnection. Telematics and Informatics, 33(2): 613–630, https://doi.org/10.1016/j.tele.2015.10.003 [Google Scholar]
  92. Grégoire, Y., Salle, A. and Tripp, T.M. (2014). Managing social media crises with your customers: the good, the bad, and the ugly. Business Horizons, 58(2): 173–182, https://doi.org/10.1016/j.bushor.2014.11.001 [Google Scholar]
  93. Hamid, S., Waycott, J., Kurnia, S. and Chang, S. (2015). Understanding students’ perceptions of the benefits of online social networking use for teaching and learning. The Internet and Higher Education, 26: 1–9, https://doi.org/10.1016/j.iheduc.2015.02.004 [Google Scholar]
  94. Hansen, F. (1972). Consumer Choice Behaviour: A Cognitive Theory. New York: Free Press. [Google Scholar]
  95. Hauke, J. and Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlation coefficient on the same sets of data. Quaestiones Geographicae, 30(2): 87–93, https://doi.org/ 10.2478/v10117-011-0021-1 [Google Scholar]
  96. Hennig-Thurau, T., Gwinner, K., Walsh, G. and Gremler, D. (2004). Electronic word-of-mouth via consumer opinion platforms: what motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1): 38–52, https://doi.org/10.1002/dir.10073 [Google Scholar]
  97. Hennig-Thurau, T., Malthouse, E.C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A. and Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3): 311–330, https://doi.org/ 0.1177/1094670510375460 [Google Scholar]
  98. Ho, Ch.-W. (2014). Consumer behavior on Facebook: Does consumer participation bring positive consumer evaluation of the brand? EuroMed Journal of Business, 9(3): 252–267, https://doi.org/10.1108/EMJB-12-2013-0057 [Google Scholar]
  99. Howard, J.A. and Sheth, J.N. (1969). The Theory of Buyers Behaviour. New York Wiley: Sons. [Google Scholar]
  100. Hsu, M-H., Tien, S-W., Lin, H-Ch. and Chang, Ch-M. (2015). Understanding the roles of cultural differences and socio-economic status in social media continuance intention. Information Technology & People, 28(1): 224–241, https://doi.org /10.1108/ITP-01-2014-0007 [Google Scholar]
  101. Huang, M., Cai, F., Tsang, A.S.L. and Zhou, N. (2011). Making your online voice loud: the critical role of WOM information. European Journal of Marketing, 45(7/8): 1277–1297, https://doi.org /10.1108/0309561111137714 [Google Scholar]
  102. Jalilvand, M.R. and Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4): 460–476, https://doi.org / 10.1108/02634501211231946 [Google Scholar]
  103. Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J. and Moon, A. (2012). Gender, Internet experience, Internet identification, and Internet anxiety: a ten-year followup. Cyberpsychology, Behavior, and Social Networking, 15(7): 370–372, https://doi.org / 10.1089/cyber.2012.0033 [Google Scholar]
  104. Junco, R., Merson, D. and Salter, D.W. (2010). The effect of gender, ethnicity, and income on college students’ use of communication technologies. Cyberpsychology, Behavior and Social Networking, 13(6): 619–627, https://doi.org /10.1089/cyber.2009.0357 [Google Scholar]
  105. Kaplan, A.M. and Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53: 59–68, https://doi.org /10.1016/j.bushor.2009.09.003 [Google Scholar]
  106. Kemp, S. (2016). Digital in 2016 report: We Are Social’s, 27 January 2016, http://wearesocial.com/uk/special-reports/digital-in-2016 (10.12.2016). [Google Scholar]
  107. Kemp, S. (2015). Digital, Social & Mobile Worldwide in 2015, 21 January 2015, http://wearesocial.net/blog/2015/01/digital-social-mobile-worldwide-2015 (30.11.2016). [Google Scholar]
  108. Khan, G.F. and Vong, S. (2014). Virality over YouTube: an empirical analysis. Internet Research, 24(5): 629–647, https://doi.org /10.1108/IntR-05-2013-0085 [Google Scholar]
  109. Kim, K.S., Sin, S.C.J. and Tsai, T.I. (2014). Individual Differences in Social Media Use for Information Seeking. The Journal of Academic Librarianship, 40: 171–178, https://doi.org /10.1016/j.acalib.2014.03.001 [Google Scholar]
  110. Kucukemiroglu, S. and Kara, A. (2015). Online word-of-mouth communication on social networking sites: An empirical study of Facebook users. International Journal of Commerce and Management, 25(1): 2–20, https://doi.org /10.1108/IJCoMA-11-2012-0070 [Google Scholar]
  111. Lee, J., Park, D-H. and Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2): 187–206, https://doi.org /10.1108/10662241111123766 [Google Scholar]
  112. Lim, J-S., Lim, K-S. and Heinrichs, J.H. (2014). Gender and mobile access method differences of Millennials in social media evaluation and usage: an empirical test. The Marketing Management Journal, 24(2): 124–135. [Google Scholar]
  113. Lin, H., Fan, W. and Chau, P.Y. (2014). Determinants of users’ continuance of SNS: a self-regulation perspective. Information & Management, 51(5): 595–603, https://doi.org. 10.1016/j.im.2014.03.010 [Google Scholar]
  114. Madden, M. and Zickuhr, K. (2011). 65% of online adults use social networking sites, http://www.pewInternet.org/media/files/reports/2011/pip-sns-update-2011.pdf (4.09.15). [Google Scholar]
  115. Mikalef, P., Giannakos, M. and Pateli, A. (2013). Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research, 8: 17–34, https://doi.org /10.4067/S0718-18762013000100003. [Google Scholar]
  116. Moore, K. and McElroy, J.C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1): 267–274, https://doi.org /10.1016/j.chb.2011.09.009 [Google Scholar]
  117. Muscanell, N.L. and Guadagno, R.E. (2012). Make new friends or keep the old: gender and personality differences in social networking use. Computers in Human Behavior, 28: 107–112, https://doi.org /10.1016/j.chb.2011.08.016 [Google Scholar]
  118. Nadkarni, A. and Hofmann, S.G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3): 243–249, https://doi.org /10.1016/j.paid.2011.11.007 [Google Scholar]
  119. Nunnally, J.C. (1978). Psychometric Theory. 2nd Edition. New York: McGraw-Hill. [Google Scholar]
  120. O’Reilly, K. and Marx, S. (2011). How young, technical consumers assess online WOM credibility. Qualitative Market Research: An International Journal, 14(4): 330–359, https://doi.org /10.1108/13522751111163191 [Google Scholar]
  121. Ott, R.L. and Longnecker, M.T. (2015). An Introduction to Statistical Methods and Data Analysis, 7th Edition, Brooks Cole Ed. [Google Scholar]
  122. Phelps, J., Lewis, R., Mobilio, L., Perry, D. and Raman, N. (2004). Viral marketing or electronic wordof- mouth advertising: examining consumer responses and motivations to pass along e-mail. Journal of Advertising Research, 44(4): 333–348, https://doi.org /10.1017/S0021849904040371 [Google Scholar]
  123. Ruleman, A.B. (2012). Social media at the university: a demographic comparison. New Library World, 113(7/8): 316–332, https://doi.org /10.1108/03074801211244940 [Google Scholar]
  124. Sanchez-Franco, M.J., Ramos, A.F.V. and Velicia, F.A.M. (2009). The moderating effect of gender on relationship quality and loyalty toward Internet service providers. Information & Management, 46(3): 196–202, https://doi.org /10.1016/j.im.2009.02.001 [Google Scholar]
  125. Schiffman, L.G., Kanuk, L.L., and Wisenblit, J. (2010). Consumer Behaviour. Tenth Edition. Pearson. [Google Scholar]
  126. See-To, E.W.K. and Ho, K.K.W. (2014). Value co-creation and purchase intention in social network sites: the role of electronic word-of-mouth and trust – a theoretical analysis. Computers in Human Behaviour, 31(1): 182–189, https://doi.org/ 10.1016/j.chb.2013.10.013 [Google Scholar]
  127. Solomon, M., Bamossy, G., Askegaard, S. and Hogg, M.K. (2010). Consumer Behaviour. A European Perspective. Harlow: Pearson Education. [Google Scholar]
  128. Special, W.P. and Li-Barber, K.T. (2012). Self-disclosure and student satisfaction with facebook. Computers in Human Behavior, 28(2): 624–630, https://doi.org /10.1016/j.chb.2011.11.008 [Google Scholar]
  129. Taiminen, H.M. and Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4): 633–651, https://doi.org / 10.1108/JSBED-05-2013-0073 [Google Scholar]
  130. Trauth, E. (2013). The role of theory in gender and information systems research. Information and Organization, 23(4): 277–293, https://doi.org / 10.1016/j.infoandorg.2013.08.003 [Google Scholar]
  131. Valos, M.J., Habibi, F.H., Casidy, R., Driesener, C.B. and Maplestone, V.L. (2016). Exploring the integration of social media within integrated marketing communication frameworks. Marketing Intelligence & Planning, 34(1): 19–40, https://doi.org /10.1108/MIP-09-2014-0169 [Google Scholar]
  132. Wallace, E., Buil, E. and De Chernatony, L. (2014). Consumer engagement with self-expressive brands: brand love and WOM outcomes. Journal of Product & Brand Management, 23(1): 33–42, https://doi.org /10.1108/JPBM-06-2013-0326 [Google Scholar]
  133. Wang, T., Yeh, R.K-J., Chen, Ch. and Tsydypov, Z. (2016). What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics, 33(4): 1034–1047, https://doi.org /10.1016/j.tele.2016.03.005 [Google Scholar]
  134. Whiting, A. and Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4): 362–369, https://doi.org /10.1108/QMR-06-2013-0041 [Google Scholar]
  135. Andreasen, A.R. (1965). Attitudes And Customer Behaviour: A Decision Model. In: L.E. Preston (ed.), New Research In Marketing. Berkeley, Institute of Business and Economic Research, University of California. [Google Scholar]
  136. Bachleda, C. and Berrada-Fathi, B. (2016). Is negative eWOM more influential than negative pWOM? Journal of Service Theory and Practice, 26(1): 109–132, https://doi.org/10.1108/JSTP-11-2014-0254 [Google Scholar]
  137. Balaji, M.S., Khong, K.W. and Chong, A.Y.L. (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53(4): 528–540. [Google Scholar]
  138. Baird, C.H. and Parasnis, G. (2011). From social media to social customer relationship management. Strategy & Leadership, 39(5): 30–37, https://doi.org/10.1108/10878571111161507 [Google Scholar]
  139. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  140. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  141. Blackwell, R.D., Miniard, P.W. and Engel, J.F. (2001). Consumer behavior, South-Western Thompson Learning Publ., UK. [Google Scholar]
  142. Blocked in China, http://www.blockedinchina.net/?siteurl=facebook.com (4.02.2017). [Google Scholar]
  143. Branthwaite, A. and Patterson, S. (2011). The power of qualitative research in the era of social media. Qualitative Market Research: An International Journal, 14(4): 430–440, https://doi.org/10.1108/13522751111163245 [Google Scholar]
  144. Brown, J., Broderick, A.J. and Lee, N. (2007). Word of mouth communication within online communities: conceptualizing the online social network. Journal of Interactive Marketing, 21(3): 2–20, https://doi.org/10.1002/dir.20082 [Google Scholar]
  145. Chan, T.Ch.K., Cheung, Ch.M.K., Shi, N. and Lee, M.K.O. (2015). Gender differences in satisfaction with Facebook users. Industrial Management & Data Systems, 115(1): 182–206, https://doi.org/10.1108/IMDS-08-2014-0234 [Google Scholar]
  146. Cheung, C.M.K. and Thadani, D.R. (2012). The impact of electronic word-of-mouth communication: a literature analysis and integrative model. Decision Support Systems, 54(1): 461–470, https://doi.org/10.1016/j.dss.2012.06.008 [Google Scholar]
  147. Christodoulides, G., Michaelidou, N. and Argyriou, E. (2012). Cross-national differences in e-WOM influence. European Journal of Marketing, 46(11/12): 1689–1707, https://doi.org/10.1108/03090561211260040 [Google Scholar]
  148. Chu, S.C. and Choi, S.M. (2011). Electronic word-of-mouth in social networking sites: a cross-cultural study of the United States and China. Journal of Global Marketing, 24(3): 263–281, https://doi.org/10.1080/08911762.2011.592461 [Google Scholar]
  149. Chu, S.-Ch. and Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1): 47–75, https://doi.org/10.2501/IJA-30-1-047-075 [Google Scholar]
  150. Craig, C.S. and Douglas, S.P. (2006). Beyond national culture: implications of cultural dynamics for consumer research. International Marketing Review, 23(3): 322–342, https://doi.org/10.1108/02651330610670479 [Google Scholar]
  151. Davies, J., Musango, J.K. and Brent, A.C. (2016). A systems approach to understanding the effect of Facebook use on the quality of interpersonal communication Technology in Society, 44: 55–65, https://doi.org/10.1016/j.techsoc.2015.10.003 [Google Scholar]
  152. Deaux, K. and Major, B. (1987). Putting gender into context: an interactive model of gender-related behavior. Psychological Review, 94(3): 369–389, https://doi.org/10.1037/0033-295X.94.3.369 [Google Scholar]
  153. Di Leonardo, M. (1987). The female world of cards and holidays: women, families and the work of kinship. Signs: Journal of Women in Culture in Society, 12(3): 440–453, https://doi.org/10.1086/494338 [Google Scholar]
  154. Edelman, D.C. (2010). Branding in the digital age: you’re spending your money in all the wrong places. Harvard Business Review, 88: 62–69. [Google Scholar]
  155. Engel, J.F., Kollat, D.T. and Blackwell, R.D. (1968). Consumer Behaviour. Chicago: The Dryden Press. [Google Scholar]
  156. Erkan, I. and Evans, Ch. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61: 47–55, https://doi.org/10.1016/j.chb.2016.03.003 [Google Scholar]
  157. Galalae, C. and Voicu, A. (2013). Consumer Behaviour Research: Jacquard Weaving in the Social Sciences. Management Dynamics in the Knowledge Economy, 1(2): 277–292. [Google Scholar]
  158. Ghezzi, A. and Dramitinos, M. (2016). Towards a Future Internet infrastructure: Analyzing the multidimensional impacts of assured quality Internet interconnection. Telematics and Informatics, 33(2): 613–630, https://doi.org/10.1016/j.tele.2015.10.003 [Google Scholar]
  159. Grégoire, Y., Salle, A. and Tripp, T.M. (2014). Managing social media crises with your customers: the good, the bad, and the ugly. Business Horizons, 58(2): 173–182, https://doi.org/10.1016/j.bushor.2014.11.001 [Google Scholar]
  160. Hamid, S., Waycott, J., Kurnia, S. and Chang, S. (2015). Understanding students’ perceptions of the benefits of online social networking use for teaching and learning. The Internet and Higher Education, 26: 1–9, https://doi.org/10.1016/j.iheduc.2015.02.004 [Google Scholar]
  161. Hansen, F. (1972). Consumer Choice Behaviour: A Cognitive Theory. New York: Free Press. [Google Scholar]
  162. Hauke, J. and Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlation coefficient on the same sets of data. Quaestiones Geographicae, 30(2): 87–93, https://doi.org/ 10.2478/v10117-011-0021-1 [Google Scholar]
  163. Hennig-Thurau, T., Gwinner, K., Walsh, G. and Gremler, D. (2004). Electronic word-of-mouth via consumer opinion platforms: what motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1): 38–52, https://doi.org/10.1002/dir.10073 [Google Scholar]
  164. Hennig-Thurau, T., Malthouse, E.C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A. and Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3): 311–330, https://doi.org/ 0.1177/1094670510375460 [Google Scholar]
  165. Ho, Ch.-W. (2014). Consumer behavior on Facebook: Does consumer participation bring positive consumer evaluation of the brand? EuroMed Journal of Business, 9(3): 252–267, https://doi.org/10.1108/EMJB-12-2013-0057 [Google Scholar]
  166. Howard, J.A. and Sheth, J.N. (1969). The Theory of Buyers Behaviour. New York Wiley: Sons. [Google Scholar]
  167. Hsu, M-H., Tien, S-W., Lin, H-Ch. and Chang, Ch-M. (2015). Understanding the roles of cultural differences and socio-economic status in social media continuance intention. Information Technology & People, 28(1): 224–241, https://doi.org /10.1108/ITP-01-2014-0007 [Google Scholar]
  168. Huang, M., Cai, F., Tsang, A.S.L. and Zhou, N. (2011). Making your online voice loud: the critical role of WOM information. European Journal of Marketing, 45(7/8): 1277–1297, https://doi.org /10.1108/0309561111137714 [Google Scholar]
  169. Jalilvand, M.R. and Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4): 460–476, https://doi.org / 10.1108/02634501211231946 [Google Scholar]
  170. Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J. and Moon, A. (2012). Gender, Internet experience, Internet identification, and Internet anxiety: a ten-year followup. Cyberpsychology, Behavior, and Social Networking, 15(7): 370–372, https://doi.org / 10.1089/cyber.2012.0033 [Google Scholar]
  171. Junco, R., Merson, D. and Salter, D.W. (2010). The effect of gender, ethnicity, and income on college students’ use of communication technologies. Cyberpsychology, Behavior and Social Networking, 13(6): 619–627, https://doi.org /10.1089/cyber.2009.0357 [Google Scholar]
  172. Kaplan, A.M. and Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53: 59–68, https://doi.org /10.1016/j.bushor.2009.09.003 [Google Scholar]
  173. Kemp, S. (2016). Digital in 2016 report: We Are Social’s, 27 January 2016, http://wearesocial.com/uk/special-reports/digital-in-2016 (10.12.2016). [Google Scholar]
  174. Kemp, S. (2015). Digital, Social & Mobile Worldwide in 2015, 21 January 2015, http://wearesocial.net/blog/2015/01/digital-social-mobile-worldwide-2015 (30.11.2016). [Google Scholar]
  175. Khan, G.F. and Vong, S. (2014). Virality over YouTube: an empirical analysis. Internet Research, 24(5): 629–647, https://doi.org /10.1108/IntR-05-2013-0085 [Google Scholar]
  176. Kim, K.S., Sin, S.C.J. and Tsai, T.I. (2014). Individual Differences in Social Media Use for Information Seeking. The Journal of Academic Librarianship, 40: 171–178, https://doi.org /10.1016/j.acalib.2014.03.001 [Google Scholar]
  177. Kucukemiroglu, S. and Kara, A. (2015). Online word-of-mouth communication on social networking sites: An empirical study of Facebook users. International Journal of Commerce and Management, 25(1): 2–20, https://doi.org /10.1108/IJCoMA-11-2012-0070 [Google Scholar]
  178. Lee, J., Park, D-H. and Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2): 187–206, https://doi.org /10.1108/10662241111123766 [Google Scholar]
  179. Lim, J-S., Lim, K-S. and Heinrichs, J.H. (2014). Gender and mobile access method differences of Millennials in social media evaluation and usage: an empirical test. The Marketing Management Journal, 24(2): 124–135. [Google Scholar]
  180. Lin, H., Fan, W. and Chau, P.Y. (2014). Determinants of users’ continuance of SNS: a self-regulation perspective. Information & Management, 51(5): 595–603, https://doi.org. 10.1016/j.im.2014.03.010 [Google Scholar]
  181. Madden, M. and Zickuhr, K. (2011). 65% of online adults use social networking sites, http://www.pewInternet.org/media/files/reports/2011/pip-sns-update-2011.pdf (4.09.15). [Google Scholar]
  182. Mikalef, P., Giannakos, M. and Pateli, A. (2013). Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research, 8: 17–34, https://doi.org /10.4067/S0718-18762013000100003. [Google Scholar]
  183. Moore, K. and McElroy, J.C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1): 267–274, https://doi.org /10.1016/j.chb.2011.09.009 [Google Scholar]
  184. Muscanell, N.L. and Guadagno, R.E. (2012). Make new friends or keep the old: gender and personality differences in social networking use. Computers in Human Behavior, 28: 107–112, https://doi.org /10.1016/j.chb.2011.08.016 [Google Scholar]
  185. Nadkarni, A. and Hofmann, S.G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3): 243–249, https://doi.org /10.1016/j.paid.2011.11.007 [Google Scholar]
  186. Nunnally, J.C. (1978). Psychometric Theory. 2nd Edition. New York: McGraw-Hill. [Google Scholar]
  187. O’Reilly, K. and Marx, S. (2011). How young, technical consumers assess online WOM credibility. Qualitative Market Research: An International Journal, 14(4): 330–359, https://doi.org /10.1108/13522751111163191 [Google Scholar]
  188. Ott, R.L. and Longnecker, M.T. (2015). An Introduction to Statistical Methods and Data Analysis, 7th Edition, Brooks Cole Ed. [Google Scholar]
  189. Phelps, J., Lewis, R., Mobilio, L., Perry, D. and Raman, N. (2004). Viral marketing or electronic wordof- mouth advertising: examining consumer responses and motivations to pass along e-mail. Journal of Advertising Research, 44(4): 333–348, https://doi.org /10.1017/S0021849904040371 [Google Scholar]
  190. Ruleman, A.B. (2012). Social media at the university: a demographic comparison. New Library World, 113(7/8): 316–332, https://doi.org /10.1108/03074801211244940 [Google Scholar]
  191. Sanchez-Franco, M.J., Ramos, A.F.V. and Velicia, F.A.M. (2009). The moderating effect of gender on relationship quality and loyalty toward Internet service providers. Information & Management, 46(3): 196–202, https://doi.org /10.1016/j.im.2009.02.001 [Google Scholar]
  192. Schiffman, L.G., Kanuk, L.L., and Wisenblit, J. (2010). Consumer Behaviour. Tenth Edition. Pearson. [Google Scholar]
  193. See-To, E.W.K. and Ho, K.K.W. (2014). Value co-creation and purchase intention in social network sites: the role of electronic word-of-mouth and trust – a theoretical analysis. Computers in Human Behaviour, 31(1): 182–189, https://doi.org/ 10.1016/j.chb.2013.10.013 [Google Scholar]
  194. Solomon, M., Bamossy, G., Askegaard, S. and Hogg, M.K. (2010). Consumer Behaviour. A European Perspective. Harlow: Pearson Education. [Google Scholar]
  195. Special, W.P. and Li-Barber, K.T. (2012). Self-disclosure and student satisfaction with facebook. Computers in Human Behavior, 28(2): 624–630, https://doi.org /10.1016/j.chb.2011.11.008 [Google Scholar]
  196. Taiminen, H.M. and Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4): 633–651, https://doi.org / 10.1108/JSBED-05-2013-0073 [Google Scholar]
  197. Trauth, E. (2013). The role of theory in gender and information systems research. Information and Organization, 23(4): 277–293, https://doi.org / 10.1016/j.infoandorg.2013.08.003 [Google Scholar]
  198. Valos, M.J., Habibi, F.H., Casidy, R., Driesener, C.B. and Maplestone, V.L. (2016). Exploring the integration of social media within integrated marketing communication frameworks. Marketing Intelligence & Planning, 34(1): 19–40, https://doi.org /10.1108/MIP-09-2014-0169 [Google Scholar]
  199. Wallace, E., Buil, E. and De Chernatony, L. (2014). Consumer engagement with self-expressive brands: brand love and WOM outcomes. Journal of Product & Brand Management, 23(1): 33–42, https://doi.org /10.1108/JPBM-06-2013-0326 [Google Scholar]
  200. Wang, T., Yeh, R.K-J., Chen, Ch. and Tsydypov, Z. (2016). What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics, 33(4): 1034–1047, https://doi.org /10.1016/j.tele.2016.03.005 [Google Scholar]
  201. Whiting, A. and Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4): 362–369, https://doi.org /10.1108/QMR-06-2013-0041 [Google Scholar]
  202. Andreasen, A.R. (1965). Attitudes And Customer Behaviour: A Decision Model. In: L.E. Preston (ed.), New Research In Marketing. Berkeley, Institute of Business and Economic Research, University of California. [Google Scholar]
  203. Bachleda, C. and Berrada-Fathi, B. (2016). Is negative eWOM more influential than negative pWOM? Journal of Service Theory and Practice, 26(1): 109–132, https://doi.org/10.1108/JSTP-11-2014-0254 [Google Scholar]
  204. Balaji, M.S., Khong, K.W. and Chong, A.Y.L. (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53(4): 528–540. [Google Scholar]
  205. Baird, C.H. and Parasnis, G. (2011). From social media to social customer relationship management. Strategy & Leadership, 39(5): 30–37, https://doi.org/10.1108/10878571111161507 [Google Scholar]
  206. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  207. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  208. Blackwell, R.D., Miniard, P.W. and Engel, J.F. (2001). Consumer behavior, South-Western Thompson Learning Publ., UK. [Google Scholar]
  209. Blocked in China, http://www.blockedinchina.net/?siteurl=facebook.com (4.02.2017). [Google Scholar]
  210. Branthwaite, A. and Patterson, S. (2011). The power of qualitative research in the era of social media. Qualitative Market Research: An International Journal, 14(4): 430–440, https://doi.org/10.1108/13522751111163245 [Google Scholar]
  211. Brown, J., Broderick, A.J. and Lee, N. (2007). Word of mouth communication within online communities: conceptualizing the online social network. Journal of Interactive Marketing, 21(3): 2–20, https://doi.org/10.1002/dir.20082 [Google Scholar]
  212. Chan, T.Ch.K., Cheung, Ch.M.K., Shi, N. and Lee, M.K.O. (2015). Gender differences in satisfaction with Facebook users. Industrial Management & Data Systems, 115(1): 182–206, https://doi.org/10.1108/IMDS-08-2014-0234 [Google Scholar]
  213. Cheung, C.M.K. and Thadani, D.R. (2012). The impact of electronic word-of-mouth communication: a literature analysis and integrative model. Decision Support Systems, 54(1): 461–470, https://doi.org/10.1016/j.dss.2012.06.008 [Google Scholar]
  214. Christodoulides, G., Michaelidou, N. and Argyriou, E. (2012). Cross-national differences in e-WOM influence. European Journal of Marketing, 46(11/12): 1689–1707, https://doi.org/10.1108/03090561211260040 [Google Scholar]
  215. Chu, S.C. and Choi, S.M. (2011). Electronic word-of-mouth in social networking sites: a cross-cultural study of the United States and China. Journal of Global Marketing, 24(3): 263–281, https://doi.org/10.1080/08911762.2011.592461 [Google Scholar]
  216. Chu, S.-Ch. and Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1): 47–75, https://doi.org/10.2501/IJA-30-1-047-075 [Google Scholar]
  217. Craig, C.S. and Douglas, S.P. (2006). Beyond national culture: implications of cultural dynamics for consumer research. International Marketing Review, 23(3): 322–342, https://doi.org/10.1108/02651330610670479 [Google Scholar]
  218. Davies, J., Musango, J.K. and Brent, A.C. (2016). A systems approach to understanding the effect of Facebook use on the quality of interpersonal communication Technology in Society, 44: 55–65, https://doi.org/10.1016/j.techsoc.2015.10.003 [Google Scholar]
  219. Deaux, K. and Major, B. (1987). Putting gender into context: an interactive model of gender-related behavior. Psychological Review, 94(3): 369–389, https://doi.org/10.1037/0033-295X.94.3.369 [Google Scholar]
  220. Di Leonardo, M. (1987). The female world of cards and holidays: women, families and the work of kinship. Signs: Journal of Women in Culture in Society, 12(3): 440–453, https://doi.org/10.1086/494338 [Google Scholar]
  221. Edelman, D.C. (2010). Branding in the digital age: you’re spending your money in all the wrong places. Harvard Business Review, 88: 62–69. [Google Scholar]
  222. Engel, J.F., Kollat, D.T. and Blackwell, R.D. (1968). Consumer Behaviour. Chicago: The Dryden Press. [Google Scholar]
  223. Erkan, I. and Evans, Ch. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61: 47–55, https://doi.org/10.1016/j.chb.2016.03.003 [Google Scholar]
  224. Galalae, C. and Voicu, A. (2013). Consumer Behaviour Research: Jacquard Weaving in the Social Sciences. Management Dynamics in the Knowledge Economy, 1(2): 277–292. [Google Scholar]
  225. Ghezzi, A. and Dramitinos, M. (2016). Towards a Future Internet infrastructure: Analyzing the multidimensional impacts of assured quality Internet interconnection. Telematics and Informatics, 33(2): 613–630, https://doi.org/10.1016/j.tele.2015.10.003 [Google Scholar]
  226. Grégoire, Y., Salle, A. and Tripp, T.M. (2014). Managing social media crises with your customers: the good, the bad, and the ugly. Business Horizons, 58(2): 173–182, https://doi.org/10.1016/j.bushor.2014.11.001 [Google Scholar]
  227. Hamid, S., Waycott, J., Kurnia, S. and Chang, S. (2015). Understanding students’ perceptions of the benefits of online social networking use for teaching and learning. The Internet and Higher Education, 26: 1–9, https://doi.org/10.1016/j.iheduc.2015.02.004 [Google Scholar]
  228. Hansen, F. (1972). Consumer Choice Behaviour: A Cognitive Theory. New York: Free Press. [Google Scholar]
  229. Hauke, J. and Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlation coefficient on the same sets of data. Quaestiones Geographicae, 30(2): 87–93, https://doi.org/ 10.2478/v10117-011-0021-1 [Google Scholar]
  230. Hennig-Thurau, T., Gwinner, K., Walsh, G. and Gremler, D. (2004). Electronic word-of-mouth via consumer opinion platforms: what motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1): 38–52, https://doi.org/10.1002/dir.10073 [Google Scholar]
  231. Hennig-Thurau, T., Malthouse, E.C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A. and Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3): 311–330, https://doi.org/ 0.1177/1094670510375460 [Google Scholar]
  232. Ho, Ch.-W. (2014). Consumer behavior on Facebook: Does consumer participation bring positive consumer evaluation of the brand? EuroMed Journal of Business, 9(3): 252–267, https://doi.org/10.1108/EMJB-12-2013-0057 [Google Scholar]
  233. Howard, J.A. and Sheth, J.N. (1969). The Theory of Buyers Behaviour. New York Wiley: Sons. [Google Scholar]
  234. Hsu, M-H., Tien, S-W., Lin, H-Ch. and Chang, Ch-M. (2015). Understanding the roles of cultural differences and socio-economic status in social media continuance intention. Information Technology & People, 28(1): 224–241, https://doi.org /10.1108/ITP-01-2014-0007 [Google Scholar]
  235. Huang, M., Cai, F., Tsang, A.S.L. and Zhou, N. (2011). Making your online voice loud: the critical role of WOM information. European Journal of Marketing, 45(7/8): 1277–1297, https://doi.org /10.1108/0309561111137714 [Google Scholar]
  236. Jalilvand, M.R. and Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4): 460–476, https://doi.org / 10.1108/02634501211231946 [Google Scholar]
  237. Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J. and Moon, A. (2012). Gender, Internet experience, Internet identification, and Internet anxiety: a ten-year followup. Cyberpsychology, Behavior, and Social Networking, 15(7): 370–372, https://doi.org / 10.1089/cyber.2012.0033 [Google Scholar]
  238. Junco, R., Merson, D. and Salter, D.W. (2010). The effect of gender, ethnicity, and income on college students’ use of communication technologies. Cyberpsychology, Behavior and Social Networking, 13(6): 619–627, https://doi.org /10.1089/cyber.2009.0357 [Google Scholar]
  239. Kaplan, A.M. and Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53: 59–68, https://doi.org /10.1016/j.bushor.2009.09.003 [Google Scholar]
  240. Kemp, S. (2016). Digital in 2016 report: We Are Social’s, 27 January 2016, http://wearesocial.com/uk/special-reports/digital-in-2016 (10.12.2016). [Google Scholar]
  241. Kemp, S. (2015). Digital, Social & Mobile Worldwide in 2015, 21 January 2015, http://wearesocial.net/blog/2015/01/digital-social-mobile-worldwide-2015 (30.11.2016). [Google Scholar]
  242. Khan, G.F. and Vong, S. (2014). Virality over YouTube: an empirical analysis. Internet Research, 24(5): 629–647, https://doi.org /10.1108/IntR-05-2013-0085 [Google Scholar]
  243. Kim, K.S., Sin, S.C.J. and Tsai, T.I. (2014). Individual Differences in Social Media Use for Information Seeking. The Journal of Academic Librarianship, 40: 171–178, https://doi.org /10.1016/j.acalib.2014.03.001 [Google Scholar]
  244. Kucukemiroglu, S. and Kara, A. (2015). Online word-of-mouth communication on social networking sites: An empirical study of Facebook users. International Journal of Commerce and Management, 25(1): 2–20, https://doi.org /10.1108/IJCoMA-11-2012-0070 [Google Scholar]
  245. Lee, J., Park, D-H. and Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2): 187–206, https://doi.org /10.1108/10662241111123766 [Google Scholar]
  246. Lim, J-S., Lim, K-S. and Heinrichs, J.H. (2014). Gender and mobile access method differences of Millennials in social media evaluation and usage: an empirical test. The Marketing Management Journal, 24(2): 124–135. [Google Scholar]
  247. Lin, H., Fan, W. and Chau, P.Y. (2014). Determinants of users’ continuance of SNS: a self-regulation perspective. Information & Management, 51(5): 595–603, https://doi.org. 10.1016/j.im.2014.03.010 [Google Scholar]
  248. Madden, M. and Zickuhr, K. (2011). 65% of online adults use social networking sites, http://www.pewInternet.org/media/files/reports/2011/pip-sns-update-2011.pdf (4.09.15). [Google Scholar]
  249. Mikalef, P., Giannakos, M. and Pateli, A. (2013). Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research, 8: 17–34, https://doi.org /10.4067/S0718-18762013000100003. [Google Scholar]
  250. Moore, K. and McElroy, J.C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1): 267–274, https://doi.org /10.1016/j.chb.2011.09.009 [Google Scholar]
  251. Muscanell, N.L. and Guadagno, R.E. (2012). Make new friends or keep the old: gender and personality differences in social networking use. Computers in Human Behavior, 28: 107–112, https://doi.org /10.1016/j.chb.2011.08.016 [Google Scholar]
  252. Nadkarni, A. and Hofmann, S.G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3): 243–249, https://doi.org /10.1016/j.paid.2011.11.007 [Google Scholar]
  253. Nunnally, J.C. (1978). Psychometric Theory. 2nd Edition. New York: McGraw-Hill. [Google Scholar]
  254. O’Reilly, K. and Marx, S. (2011). How young, technical consumers assess online WOM credibility. Qualitative Market Research: An International Journal, 14(4): 330–359, https://doi.org /10.1108/13522751111163191 [Google Scholar]
  255. Ott, R.L. and Longnecker, M.T. (2015). An Introduction to Statistical Methods and Data Analysis, 7th Edition, Brooks Cole Ed. [Google Scholar]
  256. Phelps, J., Lewis, R., Mobilio, L., Perry, D. and Raman, N. (2004). Viral marketing or electronic wordof- mouth advertising: examining consumer responses and motivations to pass along e-mail. Journal of Advertising Research, 44(4): 333–348, https://doi.org /10.1017/S0021849904040371 [Google Scholar]
  257. Ruleman, A.B. (2012). Social media at the university: a demographic comparison. New Library World, 113(7/8): 316–332, https://doi.org /10.1108/03074801211244940 [Google Scholar]
  258. Sanchez-Franco, M.J., Ramos, A.F.V. and Velicia, F.A.M. (2009). The moderating effect of gender on relationship quality and loyalty toward Internet service providers. Information & Management, 46(3): 196–202, https://doi.org /10.1016/j.im.2009.02.001 [Google Scholar]
  259. Schiffman, L.G., Kanuk, L.L., and Wisenblit, J. (2010). Consumer Behaviour. Tenth Edition. Pearson. [Google Scholar]
  260. See-To, E.W.K. and Ho, K.K.W. (2014). Value co-creation and purchase intention in social network sites: the role of electronic word-of-mouth and trust – a theoretical analysis. Computers in Human Behaviour, 31(1): 182–189, https://doi.org/ 10.1016/j.chb.2013.10.013 [Google Scholar]
  261. Solomon, M., Bamossy, G., Askegaard, S. and Hogg, M.K. (2010). Consumer Behaviour. A European Perspective. Harlow: Pearson Education. [Google Scholar]
  262. Special, W.P. and Li-Barber, K.T. (2012). Self-disclosure and student satisfaction with facebook. Computers in Human Behavior, 28(2): 624–630, https://doi.org /10.1016/j.chb.2011.11.008 [Google Scholar]
  263. Taiminen, H.M. and Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4): 633–651, https://doi.org / 10.1108/JSBED-05-2013-0073 [Google Scholar]
  264. Trauth, E. (2013). The role of theory in gender and information systems research. Information and Organization, 23(4): 277–293, https://doi.org / 10.1016/j.infoandorg.2013.08.003 [Google Scholar]
  265. Valos, M.J., Habibi, F.H., Casidy, R., Driesener, C.B. and Maplestone, V.L. (2016). Exploring the integration of social media within integrated marketing communication frameworks. Marketing Intelligence & Planning, 34(1): 19–40, https://doi.org /10.1108/MIP-09-2014-0169 [Google Scholar]
  266. Wallace, E., Buil, E. and De Chernatony, L. (2014). Consumer engagement with self-expressive brands: brand love and WOM outcomes. Journal of Product & Brand Management, 23(1): 33–42, https://doi.org /10.1108/JPBM-06-2013-0326 [Google Scholar]
  267. Wang, T., Yeh, R.K-J., Chen, Ch. and Tsydypov, Z. (2016). What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics, 33(4): 1034–1047, https://doi.org /10.1016/j.tele.2016.03.005 [Google Scholar]
  268. Whiting, A. and Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4): 362–369, https://doi.org /10.1108/QMR-06-2013-0041 [Google Scholar]
  269. Andreasen, A.R. (1965). Attitudes And Customer Behaviour: A Decision Model. In: L.E. Preston (ed.), New Research In Marketing. Berkeley, Institute of Business and Economic Research, University of California. [Google Scholar]
  270. Bachleda, C. and Berrada-Fathi, B. (2016). Is negative eWOM more influential than negative pWOM? Journal of Service Theory and Practice, 26(1): 109–132, https://doi.org/10.1108/JSTP-11-2014-0254 [Google Scholar]
  271. Balaji, M.S., Khong, K.W. and Chong, A.Y.L. (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53(4): 528–540. [Google Scholar]
  272. Baird, C.H. and Parasnis, G. (2011). From social media to social customer relationship management. Strategy & Leadership, 39(5): 30–37, https://doi.org/10.1108/10878571111161507 [Google Scholar]
  273. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  274. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  275. Blackwell, R.D., Miniard, P.W. and Engel, J.F. (2001). Consumer behavior, South-Western Thompson Learning Publ., UK. [Google Scholar]
  276. Blocked in China, http://www.blockedinchina.net/?siteurl=facebook.com (4.02.2017). [Google Scholar]
  277. Branthwaite, A. and Patterson, S. (2011). The power of qualitative research in the era of social media. Qualitative Market Research: An International Journal, 14(4): 430–440, https://doi.org/10.1108/13522751111163245 [Google Scholar]
  278. Brown, J., Broderick, A.J. and Lee, N. (2007). Word of mouth communication within online communities: conceptualizing the online social network. Journal of Interactive Marketing, 21(3): 2–20, https://doi.org/10.1002/dir.20082 [Google Scholar]
  279. Chan, T.Ch.K., Cheung, Ch.M.K., Shi, N. and Lee, M.K.O. (2015). Gender differences in satisfaction with Facebook users. Industrial Management & Data Systems, 115(1): 182–206, https://doi.org/10.1108/IMDS-08-2014-0234 [Google Scholar]
  280. Cheung, C.M.K. and Thadani, D.R. (2012). The impact of electronic word-of-mouth communication: a literature analysis and integrative model. Decision Support Systems, 54(1): 461–470, https://doi.org/10.1016/j.dss.2012.06.008 [Google Scholar]
  281. Christodoulides, G., Michaelidou, N. and Argyriou, E. (2012). Cross-national differences in e-WOM influence. European Journal of Marketing, 46(11/12): 1689–1707, https://doi.org/10.1108/03090561211260040 [Google Scholar]
  282. Chu, S.C. and Choi, S.M. (2011). Electronic word-of-mouth in social networking sites: a cross-cultural study of the United States and China. Journal of Global Marketing, 24(3): 263–281, https://doi.org/10.1080/08911762.2011.592461 [Google Scholar]
  283. Chu, S.-Ch. and Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1): 47–75, https://doi.org/10.2501/IJA-30-1-047-075 [Google Scholar]
  284. Craig, C.S. and Douglas, S.P. (2006). Beyond national culture: implications of cultural dynamics for consumer research. International Marketing Review, 23(3): 322–342, https://doi.org/10.1108/02651330610670479 [Google Scholar]
  285. Davies, J., Musango, J.K. and Brent, A.C. (2016). A systems approach to understanding the effect of Facebook use on the quality of interpersonal communication Technology in Society, 44: 55–65, https://doi.org/10.1016/j.techsoc.2015.10.003 [Google Scholar]
  286. Deaux, K. and Major, B. (1987). Putting gender into context: an interactive model of gender-related behavior. Psychological Review, 94(3): 369–389, https://doi.org/10.1037/0033-295X.94.3.369 [Google Scholar]
  287. Di Leonardo, M. (1987). The female world of cards and holidays: women, families and the work of kinship. Signs: Journal of Women in Culture in Society, 12(3): 440–453, https://doi.org/10.1086/494338 [Google Scholar]
  288. Edelman, D.C. (2010). Branding in the digital age: you’re spending your money in all the wrong places. Harvard Business Review, 88: 62–69. [Google Scholar]
  289. Engel, J.F., Kollat, D.T. and Blackwell, R.D. (1968). Consumer Behaviour. Chicago: The Dryden Press. [Google Scholar]
  290. Erkan, I. and Evans, Ch. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61: 47–55, https://doi.org/10.1016/j.chb.2016.03.003 [Google Scholar]
  291. Galalae, C. and Voicu, A. (2013). Consumer Behaviour Research: Jacquard Weaving in the Social Sciences. Management Dynamics in the Knowledge Economy, 1(2): 277–292. [Google Scholar]
  292. Ghezzi, A. and Dramitinos, M. (2016). Towards a Future Internet infrastructure: Analyzing the multidimensional impacts of assured quality Internet interconnection. Telematics and Informatics, 33(2): 613–630, https://doi.org/10.1016/j.tele.2015.10.003 [Google Scholar]
  293. Grégoire, Y., Salle, A. and Tripp, T.M. (2014). Managing social media crises with your customers: the good, the bad, and the ugly. Business Horizons, 58(2): 173–182, https://doi.org/10.1016/j.bushor.2014.11.001 [Google Scholar]
  294. Hamid, S., Waycott, J., Kurnia, S. and Chang, S. (2015). Understanding students’ perceptions of the benefits of online social networking use for teaching and learning. The Internet and Higher Education, 26: 1–9, https://doi.org/10.1016/j.iheduc.2015.02.004 [Google Scholar]
  295. Hansen, F. (1972). Consumer Choice Behaviour: A Cognitive Theory. New York: Free Press. [Google Scholar]
  296. Hauke, J. and Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlation coefficient on the same sets of data. Quaestiones Geographicae, 30(2): 87–93, https://doi.org/ 10.2478/v10117-011-0021-1 [Google Scholar]
  297. Hennig-Thurau, T., Gwinner, K., Walsh, G. and Gremler, D. (2004). Electronic word-of-mouth via consumer opinion platforms: what motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1): 38–52, https://doi.org/10.1002/dir.10073 [Google Scholar]
  298. Hennig-Thurau, T., Malthouse, E.C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A. and Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3): 311–330, https://doi.org/ 0.1177/1094670510375460 [Google Scholar]
  299. Ho, Ch.-W. (2014). Consumer behavior on Facebook: Does consumer participation bring positive consumer evaluation of the brand? EuroMed Journal of Business, 9(3): 252–267, https://doi.org/10.1108/EMJB-12-2013-0057 [Google Scholar]
  300. Howard, J.A. and Sheth, J.N. (1969). The Theory of Buyers Behaviour. New York Wiley: Sons. [Google Scholar]
  301. Hsu, M-H., Tien, S-W., Lin, H-Ch. and Chang, Ch-M. (2015). Understanding the roles of cultural differences and socio-economic status in social media continuance intention. Information Technology & People, 28(1): 224–241, https://doi.org /10.1108/ITP-01-2014-0007 [Google Scholar]
  302. Huang, M., Cai, F., Tsang, A.S.L. and Zhou, N. (2011). Making your online voice loud: the critical role of WOM information. European Journal of Marketing, 45(7/8): 1277–1297, https://doi.org /10.1108/0309561111137714 [Google Scholar]
  303. Jalilvand, M.R. and Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4): 460–476, https://doi.org / 10.1108/02634501211231946 [Google Scholar]
  304. Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J. and Moon, A. (2012). Gender, Internet experience, Internet identification, and Internet anxiety: a ten-year followup. Cyberpsychology, Behavior, and Social Networking, 15(7): 370–372, https://doi.org / 10.1089/cyber.2012.0033 [Google Scholar]
  305. Junco, R., Merson, D. and Salter, D.W. (2010). The effect of gender, ethnicity, and income on college students’ use of communication technologies. Cyberpsychology, Behavior and Social Networking, 13(6): 619–627, https://doi.org /10.1089/cyber.2009.0357 [Google Scholar]
  306. Kaplan, A.M. and Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53: 59–68, https://doi.org /10.1016/j.bushor.2009.09.003 [Google Scholar]
  307. Kemp, S. (2016). Digital in 2016 report: We Are Social’s, 27 January 2016, http://wearesocial.com/uk/special-reports/digital-in-2016 (10.12.2016). [Google Scholar]
  308. Kemp, S. (2015). Digital, Social & Mobile Worldwide in 2015, 21 January 2015, http://wearesocial.net/blog/2015/01/digital-social-mobile-worldwide-2015 (30.11.2016). [Google Scholar]
  309. Khan, G.F. and Vong, S. (2014). Virality over YouTube: an empirical analysis. Internet Research, 24(5): 629–647, https://doi.org /10.1108/IntR-05-2013-0085 [Google Scholar]
  310. Kim, K.S., Sin, S.C.J. and Tsai, T.I. (2014). Individual Differences in Social Media Use for Information Seeking. The Journal of Academic Librarianship, 40: 171–178, https://doi.org /10.1016/j.acalib.2014.03.001 [Google Scholar]
  311. Kucukemiroglu, S. and Kara, A. (2015). Online word-of-mouth communication on social networking sites: An empirical study of Facebook users. International Journal of Commerce and Management, 25(1): 2–20, https://doi.org /10.1108/IJCoMA-11-2012-0070 [Google Scholar]
  312. Lee, J., Park, D-H. and Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2): 187–206, https://doi.org /10.1108/10662241111123766 [Google Scholar]
  313. Lim, J-S., Lim, K-S. and Heinrichs, J.H. (2014). Gender and mobile access method differences of Millennials in social media evaluation and usage: an empirical test. The Marketing Management Journal, 24(2): 124–135. [Google Scholar]
  314. Lin, H., Fan, W. and Chau, P.Y. (2014). Determinants of users’ continuance of SNS: a self-regulation perspective. Information & Management, 51(5): 595–603, https://doi.org. 10.1016/j.im.2014.03.010 [Google Scholar]
  315. Madden, M. and Zickuhr, K. (2011). 65% of online adults use social networking sites, http://www.pewInternet.org/media/files/reports/2011/pip-sns-update-2011.pdf (4.09.15). [Google Scholar]
  316. Mikalef, P., Giannakos, M. and Pateli, A. (2013). Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research, 8: 17–34, https://doi.org /10.4067/S0718-18762013000100003. [Google Scholar]
  317. Moore, K. and McElroy, J.C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1): 267–274, https://doi.org /10.1016/j.chb.2011.09.009 [Google Scholar]
  318. Muscanell, N.L. and Guadagno, R.E. (2012). Make new friends or keep the old: gender and personality differences in social networking use. Computers in Human Behavior, 28: 107–112, https://doi.org /10.1016/j.chb.2011.08.016 [Google Scholar]
  319. Nadkarni, A. and Hofmann, S.G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3): 243–249, https://doi.org /10.1016/j.paid.2011.11.007 [Google Scholar]
  320. Nunnally, J.C. (1978). Psychometric Theory. 2nd Edition. New York: McGraw-Hill. [Google Scholar]
  321. O’Reilly, K. and Marx, S. (2011). How young, technical consumers assess online WOM credibility. Qualitative Market Research: An International Journal, 14(4): 330–359, https://doi.org /10.1108/13522751111163191 [Google Scholar]
  322. Ott, R.L. and Longnecker, M.T. (2015). An Introduction to Statistical Methods and Data Analysis, 7th Edition, Brooks Cole Ed. [Google Scholar]
  323. Phelps, J., Lewis, R., Mobilio, L., Perry, D. and Raman, N. (2004). Viral marketing or electronic wordof- mouth advertising: examining consumer responses and motivations to pass along e-mail. Journal of Advertising Research, 44(4): 333–348, https://doi.org /10.1017/S0021849904040371 [Google Scholar]
  324. Ruleman, A.B. (2012). Social media at the university: a demographic comparison. New Library World, 113(7/8): 316–332, https://doi.org /10.1108/03074801211244940 [Google Scholar]
  325. Sanchez-Franco, M.J., Ramos, A.F.V. and Velicia, F.A.M. (2009). The moderating effect of gender on relationship quality and loyalty toward Internet service providers. Information & Management, 46(3): 196–202, https://doi.org /10.1016/j.im.2009.02.001 [Google Scholar]
  326. Schiffman, L.G., Kanuk, L.L., and Wisenblit, J. (2010). Consumer Behaviour. Tenth Edition. Pearson. [Google Scholar]
  327. See-To, E.W.K. and Ho, K.K.W. (2014). Value co-creation and purchase intention in social network sites: the role of electronic word-of-mouth and trust – a theoretical analysis. Computers in Human Behaviour, 31(1): 182–189, https://doi.org/ 10.1016/j.chb.2013.10.013 [Google Scholar]
  328. Solomon, M., Bamossy, G., Askegaard, S. and Hogg, M.K. (2010). Consumer Behaviour. A European Perspective. Harlow: Pearson Education. [Google Scholar]
  329. Special, W.P. and Li-Barber, K.T. (2012). Self-disclosure and student satisfaction with facebook. Computers in Human Behavior, 28(2): 624–630, https://doi.org /10.1016/j.chb.2011.11.008 [Google Scholar]
  330. Taiminen, H.M. and Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4): 633–651, https://doi.org / 10.1108/JSBED-05-2013-0073 [Google Scholar]
  331. Trauth, E. (2013). The role of theory in gender and information systems research. Information and Organization, 23(4): 277–293, https://doi.org / 10.1016/j.infoandorg.2013.08.003 [Google Scholar]
  332. Valos, M.J., Habibi, F.H., Casidy, R., Driesener, C.B. and Maplestone, V.L. (2016). Exploring the integration of social media within integrated marketing communication frameworks. Marketing Intelligence & Planning, 34(1): 19–40, https://doi.org /10.1108/MIP-09-2014-0169 [Google Scholar]
  333. Wallace, E., Buil, E. and De Chernatony, L. (2014). Consumer engagement with self-expressive brands: brand love and WOM outcomes. Journal of Product & Brand Management, 23(1): 33–42, https://doi.org /10.1108/JPBM-06-2013-0326 [Google Scholar]
  334. Wang, T., Yeh, R.K-J., Chen, Ch. and Tsydypov, Z. (2016). What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics, 33(4): 1034–1047, https://doi.org /10.1016/j.tele.2016.03.005 [Google Scholar]
  335. Whiting, A. and Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4): 362–369, https://doi.org /10.1108/QMR-06-2013-0041 [Google Scholar]
  336. Andreasen, A.R. (1965). Attitudes And Customer Behaviour: A Decision Model. In: L.E. Preston (ed.), New Research In Marketing. Berkeley, Institute of Business and Economic Research, University of California. [Google Scholar]
  337. Bachleda, C. and Berrada-Fathi, B. (2016). Is negative eWOM more influential than negative pWOM? Journal of Service Theory and Practice, 26(1): 109–132, https://doi.org/10.1108/JSTP-11-2014-0254 [Google Scholar]
  338. Balaji, M.S., Khong, K.W. and Chong, A.Y.L. (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53(4): 528–540. [Google Scholar]
  339. Baird, C.H. and Parasnis, G. (2011). From social media to social customer relationship management. Strategy & Leadership, 39(5): 30–37, https://doi.org/10.1108/10878571111161507 [Google Scholar]
  340. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  341. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  342. Blackwell, R.D., Miniard, P.W. and Engel, J.F. (2001). Consumer behavior, South-Western Thompson Learning Publ., UK. [Google Scholar]
  343. Blocked in China, http://www.blockedinchina.net/?siteurl=facebook.com (4.02.2017). [Google Scholar]
  344. Branthwaite, A. and Patterson, S. (2011). The power of qualitative research in the era of social media. Qualitative Market Research: An International Journal, 14(4): 430–440, https://doi.org/10.1108/13522751111163245 [Google Scholar]
  345. Brown, J., Broderick, A.J. and Lee, N. (2007). Word of mouth communication within online communities: conceptualizing the online social network. Journal of Interactive Marketing, 21(3): 2–20, https://doi.org/10.1002/dir.20082 [Google Scholar]
  346. Chan, T.Ch.K., Cheung, Ch.M.K., Shi, N. and Lee, M.K.O. (2015). Gender differences in satisfaction with Facebook users. Industrial Management & Data Systems, 115(1): 182–206, https://doi.org/10.1108/IMDS-08-2014-0234 [Google Scholar]
  347. Cheung, C.M.K. and Thadani, D.R. (2012). The impact of electronic word-of-mouth communication: a literature analysis and integrative model. Decision Support Systems, 54(1): 461–470, https://doi.org/10.1016/j.dss.2012.06.008 [Google Scholar]
  348. Christodoulides, G., Michaelidou, N. and Argyriou, E. (2012). Cross-national differences in e-WOM influence. European Journal of Marketing, 46(11/12): 1689–1707, https://doi.org/10.1108/03090561211260040 [Google Scholar]
  349. Chu, S.C. and Choi, S.M. (2011). Electronic word-of-mouth in social networking sites: a cross-cultural study of the United States and China. Journal of Global Marketing, 24(3): 263–281, https://doi.org/10.1080/08911762.2011.592461 [Google Scholar]
  350. Chu, S.-Ch. and Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1): 47–75, https://doi.org/10.2501/IJA-30-1-047-075 [Google Scholar]
  351. Craig, C.S. and Douglas, S.P. (2006). Beyond national culture: implications of cultural dynamics for consumer research. International Marketing Review, 23(3): 322–342, https://doi.org/10.1108/02651330610670479 [Google Scholar]
  352. Davies, J., Musango, J.K. and Brent, A.C. (2016). A systems approach to understanding the effect of Facebook use on the quality of interpersonal communication Technology in Society, 44: 55–65, https://doi.org/10.1016/j.techsoc.2015.10.003 [Google Scholar]
  353. Deaux, K. and Major, B. (1987). Putting gender into context: an interactive model of gender-related behavior. Psychological Review, 94(3): 369–389, https://doi.org/10.1037/0033-295X.94.3.369 [Google Scholar]
  354. Di Leonardo, M. (1987). The female world of cards and holidays: women, families and the work of kinship. Signs: Journal of Women in Culture in Society, 12(3): 440–453, https://doi.org/10.1086/494338 [Google Scholar]
  355. Edelman, D.C. (2010). Branding in the digital age: you’re spending your money in all the wrong places. Harvard Business Review, 88: 62–69. [Google Scholar]
  356. Engel, J.F., Kollat, D.T. and Blackwell, R.D. (1968). Consumer Behaviour. Chicago: The Dryden Press. [Google Scholar]
  357. Erkan, I. and Evans, Ch. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61: 47–55, https://doi.org/10.1016/j.chb.2016.03.003 [Google Scholar]
  358. Galalae, C. and Voicu, A. (2013). Consumer Behaviour Research: Jacquard Weaving in the Social Sciences. Management Dynamics in the Knowledge Economy, 1(2): 277–292. [Google Scholar]
  359. Ghezzi, A. and Dramitinos, M. (2016). Towards a Future Internet infrastructure: Analyzing the multidimensional impacts of assured quality Internet interconnection. Telematics and Informatics, 33(2): 613–630, https://doi.org/10.1016/j.tele.2015.10.003 [Google Scholar]
  360. Grégoire, Y., Salle, A. and Tripp, T.M. (2014). Managing social media crises with your customers: the good, the bad, and the ugly. Business Horizons, 58(2): 173–182, https://doi.org/10.1016/j.bushor.2014.11.001 [Google Scholar]
  361. Hamid, S., Waycott, J., Kurnia, S. and Chang, S. (2015). Understanding students’ perceptions of the benefits of online social networking use for teaching and learning. The Internet and Higher Education, 26: 1–9, https://doi.org/10.1016/j.iheduc.2015.02.004 [Google Scholar]
  362. Hansen, F. (1972). Consumer Choice Behaviour: A Cognitive Theory. New York: Free Press. [Google Scholar]
  363. Hauke, J. and Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlation coefficient on the same sets of data. Quaestiones Geographicae, 30(2): 87–93, https://doi.org/ 10.2478/v10117-011-0021-1 [Google Scholar]
  364. Hennig-Thurau, T., Gwinner, K., Walsh, G. and Gremler, D. (2004). Electronic word-of-mouth via consumer opinion platforms: what motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1): 38–52, https://doi.org/10.1002/dir.10073 [Google Scholar]
  365. Hennig-Thurau, T., Malthouse, E.C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A. and Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3): 311–330, https://doi.org/ 0.1177/1094670510375460 [Google Scholar]
  366. Ho, Ch.-W. (2014). Consumer behavior on Facebook: Does consumer participation bring positive consumer evaluation of the brand? EuroMed Journal of Business, 9(3): 252–267, https://doi.org/10.1108/EMJB-12-2013-0057 [Google Scholar]
  367. Howard, J.A. and Sheth, J.N. (1969). The Theory of Buyers Behaviour. New York Wiley: Sons. [Google Scholar]
  368. Hsu, M-H., Tien, S-W., Lin, H-Ch. and Chang, Ch-M. (2015). Understanding the roles of cultural differences and socio-economic status in social media continuance intention. Information Technology & People, 28(1): 224–241, https://doi.org /10.1108/ITP-01-2014-0007 [Google Scholar]
  369. Huang, M., Cai, F., Tsang, A.S.L. and Zhou, N. (2011). Making your online voice loud: the critical role of WOM information. European Journal of Marketing, 45(7/8): 1277–1297, https://doi.org /10.1108/0309561111137714 [Google Scholar]
  370. Jalilvand, M.R. and Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4): 460–476, https://doi.org / 10.1108/02634501211231946 [Google Scholar]
  371. Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J. and Moon, A. (2012). Gender, Internet experience, Internet identification, and Internet anxiety: a ten-year followup. Cyberpsychology, Behavior, and Social Networking, 15(7): 370–372, https://doi.org / 10.1089/cyber.2012.0033 [Google Scholar]
  372. Junco, R., Merson, D. and Salter, D.W. (2010). The effect of gender, ethnicity, and income on college students’ use of communication technologies. Cyberpsychology, Behavior and Social Networking, 13(6): 619–627, https://doi.org /10.1089/cyber.2009.0357 [Google Scholar]
  373. Kaplan, A.M. and Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53: 59–68, https://doi.org /10.1016/j.bushor.2009.09.003 [Google Scholar]
  374. Kemp, S. (2016). Digital in 2016 report: We Are Social’s, 27 January 2016, http://wearesocial.com/uk/special-reports/digital-in-2016 (10.12.2016). [Google Scholar]
  375. Kemp, S. (2015). Digital, Social & Mobile Worldwide in 2015, 21 January 2015, http://wearesocial.net/blog/2015/01/digital-social-mobile-worldwide-2015 (30.11.2016). [Google Scholar]
  376. Khan, G.F. and Vong, S. (2014). Virality over YouTube: an empirical analysis. Internet Research, 24(5): 629–647, https://doi.org /10.1108/IntR-05-2013-0085 [Google Scholar]
  377. Kim, K.S., Sin, S.C.J. and Tsai, T.I. (2014). Individual Differences in Social Media Use for Information Seeking. The Journal of Academic Librarianship, 40: 171–178, https://doi.org /10.1016/j.acalib.2014.03.001 [Google Scholar]
  378. Kucukemiroglu, S. and Kara, A. (2015). Online word-of-mouth communication on social networking sites: An empirical study of Facebook users. International Journal of Commerce and Management, 25(1): 2–20, https://doi.org /10.1108/IJCoMA-11-2012-0070 [Google Scholar]
  379. Lee, J., Park, D-H. and Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2): 187–206, https://doi.org /10.1108/10662241111123766 [Google Scholar]
  380. Lim, J-S., Lim, K-S. and Heinrichs, J.H. (2014). Gender and mobile access method differences of Millennials in social media evaluation and usage: an empirical test. The Marketing Management Journal, 24(2): 124–135. [Google Scholar]
  381. Lin, H., Fan, W. and Chau, P.Y. (2014). Determinants of users’ continuance of SNS: a self-regulation perspective. Information & Management, 51(5): 595–603, https://doi.org. 10.1016/j.im.2014.03.010 [Google Scholar]
  382. Madden, M. and Zickuhr, K. (2011). 65% of online adults use social networking sites, http://www.pewInternet.org/media/files/reports/2011/pip-sns-update-2011.pdf (4.09.15). [Google Scholar]
  383. Mikalef, P., Giannakos, M. and Pateli, A. (2013). Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research, 8: 17–34, https://doi.org /10.4067/S0718-18762013000100003. [Google Scholar]
  384. Moore, K. and McElroy, J.C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1): 267–274, https://doi.org /10.1016/j.chb.2011.09.009 [Google Scholar]
  385. Muscanell, N.L. and Guadagno, R.E. (2012). Make new friends or keep the old: gender and personality differences in social networking use. Computers in Human Behavior, 28: 107–112, https://doi.org /10.1016/j.chb.2011.08.016 [Google Scholar]
  386. Nadkarni, A. and Hofmann, S.G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3): 243–249, https://doi.org /10.1016/j.paid.2011.11.007 [Google Scholar]
  387. Nunnally, J.C. (1978). Psychometric Theory. 2nd Edition. New York: McGraw-Hill. [Google Scholar]
  388. O’Reilly, K. and Marx, S. (2011). How young, technical consumers assess online WOM credibility. Qualitative Market Research: An International Journal, 14(4): 330–359, https://doi.org /10.1108/13522751111163191 [Google Scholar]
  389. Ott, R.L. and Longnecker, M.T. (2015). An Introduction to Statistical Methods and Data Analysis, 7th Edition, Brooks Cole Ed. [Google Scholar]
  390. Phelps, J., Lewis, R., Mobilio, L., Perry, D. and Raman, N. (2004). Viral marketing or electronic wordof- mouth advertising: examining consumer responses and motivations to pass along e-mail. Journal of Advertising Research, 44(4): 333–348, https://doi.org /10.1017/S0021849904040371 [Google Scholar]
  391. Ruleman, A.B. (2012). Social media at the university: a demographic comparison. New Library World, 113(7/8): 316–332, https://doi.org /10.1108/03074801211244940 [Google Scholar]
  392. Sanchez-Franco, M.J., Ramos, A.F.V. and Velicia, F.A.M. (2009). The moderating effect of gender on relationship quality and loyalty toward Internet service providers. Information & Management, 46(3): 196–202, https://doi.org /10.1016/j.im.2009.02.001 [Google Scholar]
  393. Schiffman, L.G., Kanuk, L.L., and Wisenblit, J. (2010). Consumer Behaviour. Tenth Edition. Pearson. [Google Scholar]
  394. See-To, E.W.K. and Ho, K.K.W. (2014). Value co-creation and purchase intention in social network sites: the role of electronic word-of-mouth and trust – a theoretical analysis. Computers in Human Behaviour, 31(1): 182–189, https://doi.org/ 10.1016/j.chb.2013.10.013 [Google Scholar]
  395. Solomon, M., Bamossy, G., Askegaard, S. and Hogg, M.K. (2010). Consumer Behaviour. A European Perspective. Harlow: Pearson Education. [Google Scholar]
  396. Special, W.P. and Li-Barber, K.T. (2012). Self-disclosure and student satisfaction with facebook. Computers in Human Behavior, 28(2): 624–630, https://doi.org /10.1016/j.chb.2011.11.008 [Google Scholar]
  397. Taiminen, H.M. and Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4): 633–651, https://doi.org / 10.1108/JSBED-05-2013-0073 [Google Scholar]
  398. Trauth, E. (2013). The role of theory in gender and information systems research. Information and Organization, 23(4): 277–293, https://doi.org / 10.1016/j.infoandorg.2013.08.003 [Google Scholar]
  399. Valos, M.J., Habibi, F.H., Casidy, R., Driesener, C.B. and Maplestone, V.L. (2016). Exploring the integration of social media within integrated marketing communication frameworks. Marketing Intelligence & Planning, 34(1): 19–40, https://doi.org /10.1108/MIP-09-2014-0169 [Google Scholar]
  400. Wallace, E., Buil, E. and De Chernatony, L. (2014). Consumer engagement with self-expressive brands: brand love and WOM outcomes. Journal of Product & Brand Management, 23(1): 33–42, https://doi.org /10.1108/JPBM-06-2013-0326 [Google Scholar]
  401. Wang, T., Yeh, R.K-J., Chen, Ch. and Tsydypov, Z. (2016). What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics, 33(4): 1034–1047, https://doi.org /10.1016/j.tele.2016.03.005 [Google Scholar]
  402. Whiting, A. and Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4): 362–369, https://doi.org /10.1108/QMR-06-2013-0041 [Google Scholar]
  403. Andreasen, A.R. (1965). Attitudes And Customer Behaviour: A Decision Model. In: L.E. Preston (ed.), New Research In Marketing. Berkeley, Institute of Business and Economic Research, University of California. [Google Scholar]
  404. Bachleda, C. and Berrada-Fathi, B. (2016). Is negative eWOM more influential than negative pWOM? Journal of Service Theory and Practice, 26(1): 109–132, https://doi.org/10.1108/JSTP-11-2014-0254 [Google Scholar]
  405. Balaji, M.S., Khong, K.W. and Chong, A.Y.L. (2016). Determinants of negative word-of-mouth communication using social networking sites. Information & Management, 53(4): 528–540. [Google Scholar]
  406. Baird, C.H. and Parasnis, G. (2011). From social media to social customer relationship management. Strategy & Leadership, 39(5): 30–37, https://doi.org/10.1108/10878571111161507 [Google Scholar]
  407. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  408. Barreto, A.M. (2013). Do users look at banner ads on Facebook?, Journal of Research in Interactive Marketing, 7(2): 119–139, https://doi.org/10.1108/JRIM-Mar-2012-0013 [Google Scholar]
  409. Blackwell, R.D., Miniard, P.W. and Engel, J.F. (2001). Consumer behavior, South-Western Thompson Learning Publ., UK. [Google Scholar]
  410. Blocked in China, http://www.blockedinchina.net/?siteurl=facebook.com (4.02.2017). [Google Scholar]
  411. Branthwaite, A. and Patterson, S. (2011). The power of qualitative research in the era of social media. Qualitative Market Research: An International Journal, 14(4): 430–440, https://doi.org/10.1108/13522751111163245 [Google Scholar]
  412. Brown, J., Broderick, A.J. and Lee, N. (2007). Word of mouth communication within online communities: conceptualizing the online social network. Journal of Interactive Marketing, 21(3): 2–20, https://doi.org/10.1002/dir.20082 [Google Scholar]
  413. Chan, T.Ch.K., Cheung, Ch.M.K., Shi, N. and Lee, M.K.O. (2015). Gender differences in satisfaction with Facebook users. Industrial Management & Data Systems, 115(1): 182–206, https://doi.org/10.1108/IMDS-08-2014-0234 [Google Scholar]
  414. Cheung, C.M.K. and Thadani, D.R. (2012). The impact of electronic word-of-mouth communication: a literature analysis and integrative model. Decision Support Systems, 54(1): 461–470, https://doi.org/10.1016/j.dss.2012.06.008 [Google Scholar]
  415. Christodoulides, G., Michaelidou, N. and Argyriou, E. (2012). Cross-national differences in e-WOM influence. European Journal of Marketing, 46(11/12): 1689–1707, https://doi.org/10.1108/03090561211260040 [Google Scholar]
  416. Chu, S.C. and Choi, S.M. (2011). Electronic word-of-mouth in social networking sites: a cross-cultural study of the United States and China. Journal of Global Marketing, 24(3): 263–281, https://doi.org/10.1080/08911762.2011.592461 [Google Scholar]
  417. Chu, S.-Ch. and Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1): 47–75, https://doi.org/10.2501/IJA-30-1-047-075 [Google Scholar]
  418. Craig, C.S. and Douglas, S.P. (2006). Beyond national culture: implications of cultural dynamics for consumer research. International Marketing Review, 23(3): 322–342, https://doi.org/10.1108/02651330610670479 [Google Scholar]
  419. Davies, J., Musango, J.K. and Brent, A.C. (2016). A systems approach to understanding the effect of Facebook use on the quality of interpersonal communication Technology in Society, 44: 55–65, https://doi.org/10.1016/j.techsoc.2015.10.003 [Google Scholar]
  420. Deaux, K. and Major, B. (1987). Putting gender into context: an interactive model of gender-related behavior. Psychological Review, 94(3): 369–389, https://doi.org/10.1037/0033-295X.94.3.369 [Google Scholar]
  421. Di Leonardo, M. (1987). The female world of cards and holidays: women, families and the work of kinship. Signs: Journal of Women in Culture in Society, 12(3): 440–453, https://doi.org/10.1086/494338 [Google Scholar]
  422. Edelman, D.C. (2010). Branding in the digital age: you’re spending your money in all the wrong places. Harvard Business Review, 88: 62–69. [Google Scholar]
  423. Engel, J.F., Kollat, D.T. and Blackwell, R.D. (1968). Consumer Behaviour. Chicago: The Dryden Press. [Google Scholar]
  424. Erkan, I. and Evans, Ch. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61: 47–55, https://doi.org/10.1016/j.chb.2016.03.003 [Google Scholar]
  425. Galalae, C. and Voicu, A. (2013). Consumer Behaviour Research: Jacquard Weaving in the Social Sciences. Management Dynamics in the Knowledge Economy, 1(2): 277–292. [Google Scholar]
  426. Ghezzi, A. and Dramitinos, M. (2016). Towards a Future Internet infrastructure: Analyzing the multidimensional impacts of assured quality Internet interconnection. Telematics and Informatics, 33(2): 613–630, https://doi.org/10.1016/j.tele.2015.10.003 [Google Scholar]
  427. Grégoire, Y., Salle, A. and Tripp, T.M. (2014). Managing social media crises with your customers: the good, the bad, and the ugly. Business Horizons, 58(2): 173–182, https://doi.org/10.1016/j.bushor.2014.11.001 [Google Scholar]
  428. Hamid, S., Waycott, J., Kurnia, S. and Chang, S. (2015). Understanding students’ perceptions of the benefits of online social networking use for teaching and learning. The Internet and Higher Education, 26: 1–9, https://doi.org/10.1016/j.iheduc.2015.02.004 [Google Scholar]
  429. Hansen, F. (1972). Consumer Choice Behaviour: A Cognitive Theory. New York: Free Press. [Google Scholar]
  430. Hauke, J. and Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlation coefficient on the same sets of data. Quaestiones Geographicae, 30(2): 87–93, https://doi.org/ 10.2478/v10117-011-0021-1 [Google Scholar]
  431. Hennig-Thurau, T., Gwinner, K., Walsh, G. and Gremler, D. (2004). Electronic word-of-mouth via consumer opinion platforms: what motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1): 38–52, https://doi.org/10.1002/dir.10073 [Google Scholar]
  432. Hennig-Thurau, T., Malthouse, E.C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A. and Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3): 311–330, https://doi.org/ 0.1177/1094670510375460 [Google Scholar]
  433. Ho, Ch.-W. (2014). Consumer behavior on Facebook: Does consumer participation bring positive consumer evaluation of the brand? EuroMed Journal of Business, 9(3): 252–267, https://doi.org/10.1108/EMJB-12-2013-0057 [Google Scholar]
  434. Howard, J.A. and Sheth, J.N. (1969). The Theory of Buyers Behaviour. New York Wiley: Sons. [Google Scholar]
  435. Hsu, M-H., Tien, S-W., Lin, H-Ch. and Chang, Ch-M. (2015). Understanding the roles of cultural differences and socio-economic status in social media continuance intention. Information Technology & People, 28(1): 224–241, https://doi.org /10.1108/ITP-01-2014-0007 [Google Scholar]
  436. Huang, M., Cai, F., Tsang, A.S.L. and Zhou, N. (2011). Making your online voice loud: the critical role of WOM information. European Journal of Marketing, 45(7/8): 1277–1297, https://doi.org /10.1108/0309561111137714 [Google Scholar]
  437. Jalilvand, M.R. and Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4): 460–476, https://doi.org / 10.1108/02634501211231946 [Google Scholar]
  438. Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J. and Moon, A. (2012). Gender, Internet experience, Internet identification, and Internet anxiety: a ten-year followup. Cyberpsychology, Behavior, and Social Networking, 15(7): 370–372, https://doi.org / 10.1089/cyber.2012.0033 [Google Scholar]
  439. Junco, R., Merson, D. and Salter, D.W. (2010). The effect of gender, ethnicity, and income on college students’ use of communication technologies. Cyberpsychology, Behavior and Social Networking, 13(6): 619–627, https://doi.org /10.1089/cyber.2009.0357 [Google Scholar]
  440. Kaplan, A.M. and Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53: 59–68, https://doi.org /10.1016/j.bushor.2009.09.003 [Google Scholar]
  441. Kemp, S. (2016). Digital in 2016 report: We Are Social’s, 27 January 2016, http://wearesocial.com/uk/special-reports/digital-in-2016 (10.12.2016). [Google Scholar]
  442. Kemp, S. (2015). Digital, Social & Mobile Worldwide in 2015, 21 January 2015, http://wearesocial.net/blog/2015/01/digital-social-mobile-worldwide-2015 (30.11.2016). [Google Scholar]
  443. Khan, G.F. and Vong, S. (2014). Virality over YouTube: an empirical analysis. Internet Research, 24(5): 629–647, https://doi.org /10.1108/IntR-05-2013-0085 [Google Scholar]
  444. Kim, K.S., Sin, S.C.J. and Tsai, T.I. (2014). Individual Differences in Social Media Use for Information Seeking. The Journal of Academic Librarianship, 40: 171–178, https://doi.org /10.1016/j.acalib.2014.03.001 [Google Scholar]
  445. Kucukemiroglu, S. and Kara, A. (2015). Online word-of-mouth communication on social networking sites: An empirical study of Facebook users. International Journal of Commerce and Management, 25(1): 2–20, https://doi.org /10.1108/IJCoMA-11-2012-0070 [Google Scholar]
  446. Lee, J., Park, D-H. and Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet Research, 21(2): 187–206, https://doi.org /10.1108/10662241111123766 [Google Scholar]
  447. Lim, J-S., Lim, K-S. and Heinrichs, J.H. (2014). Gender and mobile access method differences of Millennials in social media evaluation and usage: an empirical test. The Marketing Management Journal, 24(2): 124–135. [Google Scholar]
  448. Lin, H., Fan, W. and Chau, P.Y. (2014). Determinants of users’ continuance of SNS: a self-regulation perspective. Information & Management, 51(5): 595–603, https://doi.org. 10.1016/j.im.2014.03.010 [Google Scholar]
  449. Madden, M. and Zickuhr, K. (2011). 65% of online adults use social networking sites, http://www.pewInternet.org/media/files/reports/2011/pip-sns-update-2011.pdf (4.09.15). [Google Scholar]
  450. Mikalef, P., Giannakos, M. and Pateli, A. (2013). Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research, 8: 17–34, https://doi.org /10.4067/S0718-18762013000100003. [Google Scholar]
  451. Moore, K. and McElroy, J.C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1): 267–274, https://doi.org /10.1016/j.chb.2011.09.009 [Google Scholar]
  452. Muscanell, N.L. and Guadagno, R.E. (2012). Make new friends or keep the old: gender and personality differences in social networking use. Computers in Human Behavior, 28: 107–112, https://doi.org /10.1016/j.chb.2011.08.016 [Google Scholar]
  453. Nadkarni, A. and Hofmann, S.G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3): 243–249, https://doi.org /10.1016/j.paid.2011.11.007 [Google Scholar]
  454. Nunnally, J.C. (1978). Psychometric Theory. 2nd Edition. New York: McGraw-Hill. [Google Scholar]
  455. O’Reilly, K. and Marx, S. (2011). How young, technical consumers assess online WOM credibility. Qualitative Market Research: An International Journal, 14(4): 330–359, https://doi.org /10.1108/13522751111163191 [Google Scholar]
  456. Ott, R.L. and Longnecker, M.T. (2015). An Introduction to Statistical Methods and Data Analysis, 7th Edition, Brooks Cole Ed. [Google Scholar]
  457. Phelps, J., Lewis, R., Mobilio, L., Perry, D. and Raman, N. (2004). Viral marketing or electronic wordof- mouth advertising: examining consumer responses and motivations to pass along e-mail. Journal of Advertising Research, 44(4): 333–348, https://doi.org /10.1017/S0021849904040371 [Google Scholar]
  458. Ruleman, A.B. (2012). Social media at the university: a demographic comparison. New Library World, 113(7/8): 316–332, https://doi.org /10.1108/03074801211244940 [Google Scholar]
  459. Sanchez-Franco, M.J., Ramos, A.F.V. and Velicia, F.A.M. (2009). The moderating effect of gender on relationship quality and loyalty toward Internet service providers. Information & Management, 46(3): 196–202, https://doi.org /10.1016/j.im.2009.02.001 [Google Scholar]
  460. Schiffman, L.G., Kanuk, L.L., and Wisenblit, J. (2010). Consumer Behaviour. Tenth Edition. Pearson. [Google Scholar]
  461. See-To, E.W.K. and Ho, K.K.W. (2014). Value co-creation and purchase intention in social network sites: the role of electronic word-of-mouth and trust – a theoretical analysis. Computers in Human Behaviour, 31(1): 182–189, https://doi.org/ 10.1016/j.chb.2013.10.013 [Google Scholar]
  462. Solomon, M., Bamossy, G., Askegaard, S. and Hogg, M.K. (2010). Consumer Behaviour. A European Perspective. Harlow: Pearson Education. [Google Scholar]
  463. Special, W.P. and Li-Barber, K.T. (2012). Self-disclosure and student satisfaction with facebook. Computers in Human Behavior, 28(2): 624–630, https://doi.org /10.1016/j.chb.2011.11.008 [Google Scholar]
  464. Taiminen, H.M. and Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4): 633–651, https://doi.org / 10.1108/JSBED-05-2013-0073 [Google Scholar]
  465. Trauth, E. (2013). The role of theory in gender and information systems research. Information and Organization, 23(4): 277–293, https://doi.org / 10.1016/j.infoandorg.2013.08.003 [Google Scholar]
  466. Valos, M.J., Habibi, F.H., Casidy, R., Driesener, C.B. and Maplestone, V.L. (2016). Exploring the integration of social media within integrated marketing communication frameworks. Marketing Intelligence & Planning, 34(1): 19–40, https://doi.org /10.1108/MIP-09-2014-0169 [Google Scholar]
  467. Wallace, E., Buil, E. and De Chernatony, L. (2014). Consumer engagement with self-expressive brands: brand love and WOM outcomes. Journal of Product & Brand Management, 23(1): 33–42, https://doi.org /10.1108/JPBM-06-2013-0326 [Google Scholar]
  468. Wang, T., Yeh, R.K-J., Chen, Ch. and Tsydypov, Z. (2016). What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination. Telematics and Informatics, 33(4): 1034–1047, https://doi.org /10.1016/j.tele.2016.03.005 [Google Scholar]
  469. Whiting, A. and Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4): 362–369, https://doi.org /10.1108/QMR-06-2013-0041 [Google Scholar]

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APA style

Bartosik-Purgat, Małgorzata (2018). Bartosik-Purgat, M. . (2018). International Contexts of Social Media and e-WoM Communication in the Customer Decision-Making Process. Central European Management Journal, 26(2), 16-33. https://doi.org/10.7206/jmba.ce.2450-7814.226 (Original work published 2018)

MLA style

Bartosik-Purgat, Małgorzata. Bartosik-Purgat, M. . „International Contexts Of Social Media And E-Wom Communication In The Customer Decision-Making Process”. 2018. Central European Management Journal, t. 26, nr 2, 2018, ss. 16-33.

Chicago style

Bartosik-Purgat, Małgorzata. Bartosik-Purgat, Małgorzata . „International Contexts Of Social Media And E-Wom Communication In The Customer Decision-Making Process”. Central European Management Journal, Central European Management Journal, 26, nr 2 (2018): 16-33. doi:10.7206/jmba.ce.2450-7814.226.

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