SOCIAL PRESENCE MODEL FOR E-COMMERCE
DOI:
https://doi.org/10.11113/jt.v77.4147Keywords:
Social presence, e-commerce, consumer attitude, intention to use, online shoppingAbstract
E-commerce is a system whereby consumers can buy goods and services from merchants who sell on the internet. E-commerce is more impersonal, anonymous and automated than traditional person-to-person commerce, and as such, typically lacks human warmth and sociability. This paper explores how human warmth and sociability can be integrated through the website interface to positively impact consumer attitude towards online shopping. In first section, website content analysis was used to investigate elements that offer many unique features to support the implementation of social presence through the e-commerce website interface. The second section seeks to determine relationships between elements of social presence, intention to use e-commerce and consumer attitude. A 5-level Likert scale questionnaire was used to determine consumer attitude towards online shopping and 50 respondents were selected. Pearson’s correlation was used to assess the relationship between social presence elements, intention to use e-commerce and consumer attitude. The result shows all positive relationships. The findings showed moderate relationship between social presence and intention to use e-commerce, a moderate relationship between intention to use e-commerce and consumer attitudes, and a weak relationship between social presence and consumer attitude.
References
Adesina, A. A. and Ayo, C. K. 2010. An Empirical Investigation of the Level of Users’ Acceptance of E-Banking in Nigeria. Journal of Internet Banking and Commerce. 15(1): 1-13.
Ali, M., and Lee, H. 2010. Culture or Social Interaction? A Study of Influential Factors on Weblog Design. European and Mediterranean Conference on Information Systems. Abu Dhabi, UAE. April 2010.
Aral, S., and Walker, D. 2011. Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks. Management Science. 57(9): 1623-1639.
Bakshi, S. 2012. Impact of Gender on Consumer Purchase Behaviour. Journal of Research in Commerce and Management. 1(9): 1-8.
Biocca, F., Harms, C. and Burgoon, J. K. 2003. Towards A More Robust Theory and Measure of Social Presence: Review and Suggested Criteria. Presence: Teleoperators and Virtual Environments. 12(5): 456-480.
Breslauer, B., Ruoss, S. & Smith, T. 2009. Social Media Trends Around the World! The Global Web Index (GWI). ESOMAR Research, Online Research, Chicago. October 2009.
Cho, E. and Kim, Y. 2012. The Effects of Website Designs, Self-Congruity, and Flow on Behavioral Intention. International Journal of Design. 6(2): 31-39.
Cui, N., Wang, T., and Xu, S. 2010. The Influence of Social Presence on Consumers' Perceptions of The Interactivity of Web Sites. Journal of Interactive Advertising. 11(1): 36-49.
Cyr, D., Head, M., Larios, H., and Bing, P. 2009. Exploring Human Images in Website Design: A Multi-Method Approach. MIS Quarterly. 33(3): 539-566.
Gefen, D., Straub, D.W., 1997. Gender Differences in Perception and Adoption of E-Mail: An Extension to the Technology Acceptance Model. MIS Quarterly. 21(4): 389-400.
Gefen, D., Straub, D. W. 2003. Managing User Trust in B2C e-Services. E-Service Journal. 2(2): 7-24.
Guo, Jie; Nikou, Shahrokh and Bouwman, Harry. 2013. Analyzing the Business Model for Mobile Payment from Banks' Perspective: An Empirical Study. 24th European Regional Conference of the International Telecommunication Society. Florence, Italy. October 2013.
Hajli, Mahmood. 2012. An Integrated Model for E-Commerce Adoption at the Customer Level with The Impact of Social Commerce. International Journal of Information Science and Management. 16(Special Issue): 77-97.
Hajli, Mahmood. 2013. A Research Framework for Social Commerce Adoption. Information Management & Computer Security. 21(3): 144-154.
Hassanein, K. and M. Head. 2007. Manipulating Perceived Social Presence Through the Web Interface and Its Impact on Attitude Towards Online Shopping. International Journal of Human-Computer Studies. 65(8): 689-708.
Huang, Z., Yoon, S. Y. and Benyoucef, M. 2012. Adding Social Features to E-Commerce. Proceedings of the Conference on Information Systems Applied Research. New Orleans, Louisiana.
Jehangir, M., Dominic, P. D. D., Naseebullah, N. and Khan, Alamgir. 2011. Towards Digital Economy: The Development of ICT and E-Commerce in Malaysia. Modern Applied Science. 5(2): 171-178.
Karahanna, E., and Straub, D. W., 1999. The Psychological Origins of Perceived Usefulness and Perceived Ease-Of-Use. Journal Information and Management. 35(4): 237-250.
Karimov, F. P., M. Bregman, and L. V. Hove. 2011. The Effect of Website Design Dimensions on Initial Trust: A Synthesis of The Empirical Literature. Journal of Electronic Commerce Research. 12(4): 272-301.
Korkeila, J., Kaarlas, S., Jaaskelainen, M., Vahlberg, T., and Taiminen, T. 2010. Attached to the Web—Harmful Use of the Internet and Its Correlates. Journal of Eur. Psychiatry. 25(4): 236–241.
Kumar, N., Benbasat, I., 2002. Para-social Presence and Communication Capabilities of a Web Site: A Theoretical Perspective. E-Service Journal. 1(3): 5-24.
Lee, H., Choi, S. Y. and Kang, Y.S. 2009. Formation of e-satisfaction and Repurchase Intention: Moderating Roles of Computer Self-Efficacy and Computer Anxiety. Journal of Expert Systems with Applications. 36(4): 7848-7859.
Ling, K.C., Chai, L.T. and Piew, T.H. 2010. The Effects of Shopping Orientations, Online Trust and Prior Online Purchase Experience Toward Customers’ Online Purchase Intention. International Business Research. 3(3): 63-76.
Lu, Y., Lu, Y., & Wang, B. 2012. Effects of Dissatisfaction on Customer Repurchase Decisions on E-Commerce: An Emotion-Based Perspective. Journal of Electronic Commerce Research. 13(3): 224-237.
Najjar, L. 2011. Advances in e-Commerce User Interface Design. HCII’11 Proceedings of the 1st International Conference on Human Interface and the Management of Information: Interacting with Information. Orlando, FL, USA. July 2011.
Nielsen, J. 2012. How Many Test Users in a Usability Study? [Online]. From http:file:///C:/Users/Sumayyah/Documents/JURNAL1/How%20Many%20Test%20Users%20in%20a%20Usability%20Study. Htm [Accessed on 8 April 2015].
Odaci, H., Kalkan M. 2010. Problematic Internet Use, Loneliness and Dating Anxiety Among Young Adult University Students. Computers & Education. 55(3): 1091-1097.
Ozok, A. A. 2008. Survey Design and Implementation in HCI. In Andrew Sears and Julie A. Jacko (eds.). The Human-Computer Interaction Handbook. New York: Lawrence Erlbaum Associates.
Pappas, I. O., Giannakos, M. N., Kourouthanassis P.E., and Chrissikopoulos, V. 2013. Assessing Emotions Related to Privacy and Trust in Personalized Services. Proceedings of the 12th IFIP Conference on e-Business, e-Services, e-Society (I3E 2013). Athens, Greece. April 2013.
Purwati Y. 2011. Standard Features of E-Commerce User Interface for the Web. Journal of Arts, Science & Commerce. 2(3): 77-87.
Rad, A. A., and Benyoucef, M. 2011. A Model for Understanding Social Commerce. Journal of Information Systems Applied Research. 4(2): 63-73.
Rice, R., Hughes, G., and Love, G. 1989. Usage and Outcomes of Electronic Messaging at an R and D Organization: Situational Constraints, Job Level, and Media Awareness. Office, Technology and People. 5(2): 141-161.
San, C.W. and Yazdanifard, R. 2014. How Consumer Decision Making Process Differ from Youngster to Older Consumer Generation. Journal of Research in Marketing. 2(2): 151-156.
Shen, J. 2012. Social Comparison, Social Presence, and Enjoyment in the Acceptance of Social Shopping Websites. Journal of Electronic Commerce Research. 13(3): 198-212.
Sproull, L., and Kiesler, S., 1986. Reducing Social Context Cues: The Case of Electronic Mail. Management Science. 32(11): 1492-1512.
Straub, D. W. 1994. The Effect of Culture on IT Diffusion: e-mail and FAX in Japan and the US. Information Systems Research. 5(1): 23-47.
Straub, D. W., and Karahanna, E. 1998. Knowledge Worker Communications and Recipient Availability: Toward A Task Closure Explanation of Media Choice. Organization Science. 9(2): 160-175.
Thabet, M. and Zghal, M. 2013. Exploratory Approach to the Influence of Perceived Social Presence on Consumer Trust in a Website. Journal of Internet and e-business Studies. 2013: 1-20.
Top sites in Malaysia. [Online]. From: http://www.alexa.com/topsites/countries;0/MY. [Accessed on 2 Oktober 2014].
Vegiayan K. D., Ming C.W. and Harun M. L. O. 2013. Online Shopping and Customer Satisfaction in Malaysia. International Journal of Marketing Practices. 1(1): 43-51.
Waszkiewicz, M. and Jun J. 2013. The Influence of Perceived Social Presence of E-Shopping Sites on Perceived Deception. Pacific Asia Conference on Information Systems. Jeju Island, Korea. June 2013.
Weidman, A. C., Fernandez, K. C., Levinson, C. A., Augustine, A. A., Larsen, R. J. and Rodebaugh, T. L. 2012. Compensatory Internet Use Among Individuals Higher in Social Anxiety and Its Implications for Well-Being. Personality and Individual Differences. 53(3): 191-195.
Wolfinbarger M. and Gilly M. C. 2001. Shopping Online for Freedom, Control, and Fun. California Management Review. 43(2): 34-55.
Xiao, B., and Benbasat, I. 2011. Product-related Deception in E-Commerce: A Theoretical Perspective. Management Information Systems (MIS) Quarterly. 35(1): 169-195.
Ziadat, M. A. L, Al-Majali, M., Al-Muala, A. And Khawaldeh, K. 2013. Factors Affecting University Student's Attitudes Toward E-Commerce: Case of Mu'tah University. International Journal of Marketing Studies. 5(5): 88-9.
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