Social Networking Site Adoption in Malaysia and Indonesia

Noor Ismawati Jaafar, Bobby Darmawan, Mohd Yahya Mohamed Ariffin


This study employed the Model of Technology Preference (MTP) to investigate the antecedents of behaviour intention to adopt Social Networking Site (SNS) for communication after considering individual’s preference factor. This study used quantitative approach where surveys were conducted in Malaysia and Indonesia. Self-administered questionnaires were distributed to SNS users in big cities of both countries that lead to a total of 1037 valid responses. The data were analysed using Structural Equation Model (SEM) to measure model fit and to conduct structural modelling. The results in general support that Attribute-Based Preference (ATRP) significantly affects Attitude-Based Preference (ATTP), which also mediates that effect with Behaviour Intention (BI) of using SNS. Nonetheless, the findings from the two countries vary with regard to the attributes that affect the ATTP and the effect of ATTP on BI and Attitude (ATT) towards SNS. Malaysians tend to use SNS for communication due to the availability of options for their preferred technology. This could be explained by the higher pragmatic and masculinity index of the Malaysian culture, which they tend to exhibit in their actions. In contrary, Indonesians tend to defer using the SNS and create another level of attitude before the actual usage.

Keywords: Adoption, social networking site, technology preference, social presence, perceived enjoyment.

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Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.

Badan Pusat Statistik (2010). Jumlah dan Distribusi Penduduk. Accessed 13 April 2013.

Bettman, J.R., Luce, M.F., & Payne, J.W. (1998). Constructive consumer choice processes. Journal of Consumer Research, 25,187-217.

Brown, T.C. (1984). The concept of value in resource allocation. Land Economics, 60,231–246.

Cheung, C.M., Pui, Y.C., & Lee, M.K. (2011). Online social networks: Why do students use facebook? Computers in Human Behavior, 27, 1337–1343.

Cho, C.H., & Cheon, H.J. (2005). Cross-cultural comparisons of interactivity on corporate web sites. Journal of Advertising, 34 (2), 99-115.

Choudhury, V., & Karahanna, E. (2008). The relative advantage of electronic channels: amultidimensional view. MIS Quarterly, 32, 179-200.

Cyr, D., Hassanein, K., Head, M., & Ivanov, A. (2007). The role of social presence in establishing loyalty in e-service environments. Interacting with Computers, 19, 43–56.

Daft, R.L., & Lengel, R.H. (1986). Organizational information requirements, media richness, and structural determinants. Management Science, 32, 554-571.

Davis, F.D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.

Dwyer, C., Hiltz, S.R., & Passerini, K. (2007). Trust and privacy concern within social networking sites: A comparison of Facebook and MySpace. In Proceedings of AMCIS, pp. 1-12.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

Flanagin, A.J., & Metzger, M.J. (2001). Internet use in the contemporary media environment. Human Communication Research, 27(1),153-181.

Florenthal, B., & Shoham, A. (2010). Four-mode channel interactivity concept and channel preferences. Journal of Services Marketing, 24(1), 29-41.

Gefen, D., & Straub, D.W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega, 32(6), 407-424.

Hair, JF., Black, W.C., Babin, B.B., & Anderson, R.E. (2006). Multivariate data analysis with readings (Vol. 6). New Jersey: Pearson Educational, Inc.

Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-Computer Interaction, 65, 689–708.

Holzwarth, M., Janiszewski, C., & Neumann, M.M. (2007). Can aretail web site be social? Journal of Marketing, 71, 143-57.

Index Mundi (2012). htp:// Accessed 24 December 2014.

Jackson, C.M., Chow, S., & Leitch, R.A. (1997). Toward an Understanding of the Behavioral Intention to Use an Information System. Decision Sciences, 28 (2), 357-389.

Jeyaraj, A., & Sabherwal, R. (2008). Adoption of information systems innovations by individuals: A study of processes involving contextual, adopter, and influencer actions. Information and Organization, 18, 205–234.

Jones, M.L. (2007). Hofstede - Culturally questionable? Oxford Business & Economics Conference. Oxford, UK, 24-26 June. Accessed 24 July 2014.

Kehrwald, B. (2008). Understanding Social Presence in Text-based Online Learning Environments. Distance Education, 29 (1), 89–106.

Lee, F., Vogel, D., & Limayem, M. (2003). Virtual community informatics: A review and research agenda. Journal of Information Technology and Application, 5 (1), 47–61.

Lowry, P., Roberts, T.L., Romano, N.C., Cheney, P., & Hightower, R.T. (2006). The impact of group size and social presence on small-group communication: Does computer-mediated communication make a difference? Small Group Research, 37, 631–661.

Mantel, S.P., & Kardes, F.R. (1999). The role of direction of comparison, attribute based processing, and attitude-based processing in consumer preference. Journal of Consumer Research, 25(4), 335–352.

Media Indonesia (2011). Available at Accessed 22 December 2016.

Miranda, S.M., & Saunders, C.S. (2003). The social construction of meaning: An alternative perspective on information sharing. Information Systems Research, 14, 87–106.

Muthitcharoen, A., Palvia, P. C., & Grover, V. (2011). Building a model of technology preference: The case of channel choices. Decision Sciences, 42(1), 205-237.

Novak, T.P., Hoffman, D.L., & Yung, Y.F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19 (Winter), 22-42.

Nunnally, J.C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

Papacharissi, Z. (2009). The virtual geographies of social betworks: A comparative analysis of Facebook, LinkedIn and ASmallWorld. New Media & Society, 199-220.

Parboteeah, D.V., Valacich, J.S., & Wells, J.D. (2009). The influence of website characteristics on aconsumer's urge to buy impulsively. Information Systems Research, 20, 60-78.

Shin, D. (2007). User acceptance of mobile internet: Implication for convergence technologies. Interacting with Computers, 19, 472-83.

Short, J.A., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. New York: John Wiley & Sons.

Szymanski, D.M., & Hise, R.T. (2000). e-Satisfaction: An initial examination. Journal of Retailing, 76(3). 309-322.

The World Bank (2012). The World Bank. Accessed 10 May 2016.

Tu, C.-H. (2002). The impacts of text-based CMC on online social presence. The Journal of Interactive Online Learning, 1(2), 1-24. Available at Accessed 15 March 2016.

Van der Heijden, H. (2003). Factors influencing the usage of websites: The case of ageneric portal in The Netherlands. Information & Management, 40 (6), 541–549.

Walther, J., & Parks, M. (2002). Cues filtered out, cues filtered in: Computer-mediated communication and relationships. Handbook of Interpersonal Communication. 3rd edition: pp. 529–563.

Walther, J.B., Carr, C.T., Choi, S.S., DeAndrea, D.C., Kim, J.T., & Heide, V.D. (2010). Interaction of interpersonal, peer, and media influence sources online: A research agenda for technology convergence. (Papachariss, Ed.) New York, New York: Routledge.

Walther, J.B. (1995). Relational aspects of aomputer-mediated communications: Experimental observations over time. Organization Science, 6 (2), 182–203.

Wei Wan, J.J., Hsieh, J. P.-A., & Baoxiang, S. (2012). Understanding user satisfaction with instant messaging: An empirical survey study. International Journal of Human-Computer Interaction, 28 (3), 153-162.

Wilson, R.E., Gosling, S.D., & Graham, L.T. (2012). A review of facebook research in the social sciences. Perspectives on Psychological Science, 7(3) 203–220.

World Bank (2013). Available at Accessed 15 March 2017.

Ya, P.C., & Dong, H.Z. (2011). Understanding social networking sites adoption in China: A comparison of pre-adoption and post-adoption. Computers in Human Behavior, 27, 1840–1848.

Yoo, Y., & Alavi, M. (2001). Media and group cohesion: Relative influences on social presence, task participation, and group consensus. MIS Quarterly, 25 (3), 371–390.

Yu, C.S. (2012). Factors affecting individuals to adopt mobile banking: Empirical. Journal of Electronic Commerce Research, 13(2), 104-121.


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