Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl

PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2018 | 26 | nr 2 | 16-33
Tytuł artykułu

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

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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. (original abstract)
Rocznik
Tom
26
Numer
Strony
16-33
Opis fizyczny
Twórcy
  • Poznań University of Economics and Business, Poland
Bibliografia
  • 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.
  • 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
  • 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.
  • 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
  • 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
  • Blackwell, R.D., Miniard, P.W. and Engel, J.F. (2001). Consumer behavior, South-Western Thompson Learning Publ., UK.
  • Blocked in China, http://www.blockedinchina.net/?siteurl=facebook.com (4.02.2017).
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • Engel, J.F., Kollat, D.T. and Blackwell, R.D. (1968). Consumer Behaviour. Chicago: The Dryden Press.
  • 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
  • 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. Vol. 26, No. 2/2018 DOI: 10.7206/jmba.ce.2450-7814.226
  • 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
  • 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
  • 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
  • Hansen, F. (1972). Consumer Choice Behaviour: A Cognitive Theory. New York: Free Press.
  • 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
  • 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
  • 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
  • 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
  • Howard, J.A. and Sheth, J.N. (1969). The Theory of Buyers Behaviour. New York Wiley: Sons.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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).
  • 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).
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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).
  • 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.
  • 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
  • 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
  • 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
  • Nunnally, J.C. (1978). Psychometric Theory. 2nd Edition. New York: McGraw-Hill.
  • 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
  • Ott, R.L. and Longnecker, M.T. (2015). An Introduction to Statistical Methods and Data Analysis, 7th Edition, Brooks Cole Ed.
  • 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
  • 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
  • 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
  • Schiffman, L.G., Kanuk, L.L., and Wisenblit, J. (2010). Consumer Behaviour. Tenth Edition. Pearson.
  • 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
  • Solomon, M., Bamossy, G., Askegaard, S. and Hogg, M.K. (2010). Consumer Behaviour. A European Perspective. Harlow: Pearson Education.
  • 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
  • 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
  • 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.
  • 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.
  • 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
  • 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
  • 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
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171522619
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.