A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students

A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students

Nowadays, there has been a dramatic proliferation in the number of blogs and several social networks; however, little is published about what factor (s) motivates universities students to participate in blog activities. The remarkable growth and use of a social networking website such as "Face...

Full description

Saved in:
Bibliographic Details
Main Author: Attia, Abdelmeneim T. A.
Format: Thesis
Language:eng
eng
Published: 2011
Subjects:
T Technology (General)
LB2300 Higher Education
Online Access:https://etd.uum.edu.my/2916/1/Abdelmeneim_T._A._Attia.pdf
https://etd.uum.edu.my/2916/2/1.Abdelmeneim_T._A._Attia.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.2916
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Bohari, Abdul Manaf
topic T Technology (General)
LB2300 Higher Education
spellingShingle T Technology (General)
LB2300 Higher Education
Attia, Abdelmeneim T. A.
A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students
description Nowadays, there has been a dramatic proliferation in the number of blogs and several social networks; however, little is published about what factor (s) motivates universities students to participate in blog activities. The remarkable growth and use of a social networking website such as "Facebook", "Hi5", and "Friendster" among UUM international postgraduate students is more challenging for a researcher to investigate the extent to which a new media channel affects people’s lives, relationships, and wellbeing, how and why it is used, and who is using it. Based on the Theory of Reasoned Action (TRA), a model was developed relating technology acceptance (TAM) and social influences. a combination of convenience and purposive sampling was used to collect the data from UUM Postgraduate students that used different blogs and Facebook regularly. A survey of 112 of UUM postgraduate students found strong support for the model. One of the major finding of this research illustrated that perceived usefulness, ease of use and social norms were positively related to attitude toward blogging and accounted for a higher variance. On the other hand, perceived enjoyment and attitude toward blogging did not significantly influence UUM postgraduate students’ intention to continue to use Facebook as their favorite blogging site.
format Thesis
qualification_name masters
qualification_level Master's degree
author Attia, Abdelmeneim T. A.
author_facet Attia, Abdelmeneim T. A.
author_sort Attia, Abdelmeneim T. A.
title A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students
title_short A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students
title_full A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students
title_fullStr A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students
title_full_unstemmed A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students
title_sort study on the factors influencing the intention of blog usage: a case of uum postgraduate students
granting_institution Universiti Utara Malaysia
granting_department College of Business (COB)
publishDate 2011
url https://etd.uum.edu.my/2916/1/Abdelmeneim_T._A._Attia.pdf
https://etd.uum.edu.my/2916/2/1.Abdelmeneim_T._A._Attia.pdf
_version_ 1747827460254203904
spelling my-uum-etd.29162022-04-12T23:39:45Z A Study on the Factors Influencing the Intention of Blog Usage: A Case of UUM Postgraduate Students 2011 Attia, Abdelmeneim T. A. Bohari, Abdul Manaf College of Business (COB) College of Business T Technology (General) LB2300 Higher Education Nowadays, there has been a dramatic proliferation in the number of blogs and several social networks; however, little is published about what factor (s) motivates universities students to participate in blog activities. The remarkable growth and use of a social networking website such as "Facebook", "Hi5", and "Friendster" among UUM international postgraduate students is more challenging for a researcher to investigate the extent to which a new media channel affects people’s lives, relationships, and wellbeing, how and why it is used, and who is using it. Based on the Theory of Reasoned Action (TRA), a model was developed relating technology acceptance (TAM) and social influences. a combination of convenience and purposive sampling was used to collect the data from UUM Postgraduate students that used different blogs and Facebook regularly. A survey of 112 of UUM postgraduate students found strong support for the model. One of the major finding of this research illustrated that perceived usefulness, ease of use and social norms were positively related to attitude toward blogging and accounted for a higher variance. On the other hand, perceived enjoyment and attitude toward blogging did not significantly influence UUM postgraduate students’ intention to continue to use Facebook as their favorite blogging site. 2011 Thesis https://etd.uum.edu.my/2916/ https://etd.uum.edu.my/2916/1/Abdelmeneim_T._A._Attia.pdf text eng public https://etd.uum.edu.my/2916/2/1.Abdelmeneim_T._A._Attia.pdf text eng public masters masters Universiti Utara Malaysia Agarwal, R. and Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9 (2), 204–215. Agarwal, R., Sambamurthy, V. and Stair, R.M. (2000). The evolving relationship between general and specific computer self-efficacy: An empirical investigation, Information Systems Research, 11 (4), 418– 430. Ajzen, I. (1985), From intention to actions: a theory of planned behavior”, in Kuhl, J. and Bechmann, J. (Eds), Action Control: From Cognition to Behavior, Springer, Heidelberg, 11-39. Ajzen, I. (1991). The theory of planned behavior. Journal of Organizational Behavior and Human Decision Processes, 50 (2), 179–211. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall. Anderson, C. (2006). The Long Tail: Why the Future of Business is Selling Less of More, Hyperion, New York, NY. Bahmanziari, T., Pearson, M. J., and Crosby, L. (2003). Is trust important in technology adoption? A policy capturing approach. The Journal of Computer Information Systems, 43(4), 46-54. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychology Review, 84, 191-215. Bargh, J.A. & McKenna, K. Y. A. (2004). The Internet and social life. Annual Review Psychology, 55, 573-590. Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25 (3), 351-70. Bhattacherjee, A., & Harris, M. (2009) Individual Adaptation of Information Technology. Journal of Computer Information Systems, 50 (1), 37-46. Bigné-Alcañiz, E., Ruiz-Mafé, C., Aldás-Manzano, J. and Sanz-Blas, S. (2008). Influence of online shopping information dependency and innovativeness on Internet shopping adoption. Online Information Review, 32 (5), 648-667. Blog Flux Directory (2007). Retrieved on 21, November 2010, from http://dir.blogflux.com. Blood, R. (2002). Weblogs: A history and perspective. Cambridge: Perseus Publishing. Bock, G.W., Zmud, R.W. and Kim, Y.G. (2005). Behavioral intention formation in knowledge sharing: examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS Quarterly, 29(1), 87-111. Bonebrake, K. (2002). College students’ Internet use, relationship formation, and personality correlates. CyberPsychology & Behavior, 5, 551-557. Brewer, J., Blake, A., Rankin, S., & Douglas, L. (1999). Theory of Reasoned Action Predicts Milk Consumption in Women. Journal of the American Domestic Association, 99 (1). Cecilie G. (1986) Measuring the Concept of Credibility, Journalism Quarterly 66, P451-62. Charney, T., & Greenberg, B.S. (2002). Uses and gratifications of the Internet. In C.A. Lin & D.J. Atkin (Eds.), Communication technology and society, 379-407, Cresskill, NJ: Hampton Press. Chiu, C.M. and Wang, E.T.G. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information & Management, 45 (3), 194-201. Chung, D. (2003). I Am Not a Lonely Person Any More: Interpersonal Relationships in Computer-Mediated-Communication. Finding Friends and Making Confessions in Cyberspace. ICA. Compeau, D. R. and Higgins, C. A. (1995). Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19 (2), 189– 211. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Journal of Management Science, 35 (8), 982-1003. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22 (14), 1111-1132. Davis, R. (1997) Understanding broadcast political talk. Political Communication 14, 323-332. Derlega, V.J. (1984). Self-disclosure and intimate relationships. In: V.J. Derlega, ed. Communication, Intimacy and Close Relationships. Orlando, FL: Academic Press. 1-10. Dholakia, U.M. Bagozzi, R.P., & Pearo, L.K (2004). A social influence model of consumer participation in network and small-group-based virtual communities. International Journal of Research in Marketing, Vol.21, Issue.3, pp. 241-263. Dinev, T., Hu, Q., and Yayla, A. (2008) Is there an online advertisers' dilemma? A study of click fraud in the pay-per-click model. Journal of Electronic Commerce, 13(2), 29-60. Du, H.S. and Wagner, C. (2006), “Weblog success: exploring the role of technology. International Journal of Human-Computer Studies, Vol. 64 No. 9, pp. 789-98. Eastin, M.S. and LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-Mediated Communication, 6 (1), 67-78. Elison, N.B., Steinfield, C. and Lampe, C. (2007). The benefit of facebook ‘friends’: social capital and college students’ use of online social network sites. Journal of Computer-mediated Communication, 12, 1143-1168. Fishbein, M. and Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, MA. Gefen, D. (2000) E-commerce: the role of familiarity and trust. Omega 28 (6), 725–737. Guadagno, R. E., Okdie, B. M., & Eno, C. A. (2008). Who blogs? Personality predictors of blogging. Journal of Computers in Human Behavior, 24(5). Goldsmith, R.E. and Hofacker, C.F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19, 1004-16. Graham B. (2005) Why I Weblog, http://www.bradlands.com/words/maybe/maybe02.html. Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1992.) Multivariate Data Analysis with Readings, MacMillan, New York. Hampton, K. N., & Wellman, B. (2000). Examining community in the digital neighborhood: Early results from Canada’s wired suburb. In T. Ishida & K. Isbister (Eds.), Digital Cities: Technologies, Experiences, and Future Perspectives (pp. 194–208). New York/Berlin: Springer-Verlag. Hansen, T., Jensen, J., and Solgaard, H. (2004) Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior. International Journal of Information Management, 24(6), 539-550. Holloway, A. (2006). To blog, or not to blog? Canadian Business, 80(1), 15. Howard I. F. and Martha L. S. (2002) Digital Journalism Credibility Study. Washington, DC: Online News Association. Hsu ,M.H. and Chiu, C.M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38 (3), 369-381. Hsu, C., & Lin, J. C. (2008). Acceptance to blog usage: The roles of technology acceptance, social influence, and knowledge sharing motivation. Journal of Information & Management, 45, 65-74. Hsu, C. L., and Lui, H. P. (2004). Why do people play online games? An extended TAM with social influences and flow experience", Information and Management, 41 (1), 853-68. Jiang, P. (2009) Consumer adoption of mobile internet services: an exploratory study. Journal of Promotion Management, 15(3) 418-454. Johnson, T.J., & Kaye, B. K. (2004). Wag the BLOG: How reliance on traditional media and the Internet influence credibility perceptions of weblogs among blog users. Journal of Journalism and Mass Communication Quarterly, 81(3), 622-642. Jones, W.H., Freemon, L.A., and Goswick, R.A. (1981). The persistence of loneliness. Journal of Personality 49, 27-48. Kaiser, H.F. (1960) The Application of Electronic Computers to Factor Analysis. Educational and Psychological Measurement, 20: 141-51. Kankanhalli, A., Tan, B.C.Y. and Wei, K.K. (2005). Contributing knowledge to electronic knowledge repositories: an empirical investigation. MIS Quarterly, 29(1), 113-143. Karahanna, E. and Straub, D. W. (1999). The psychological origins of perceived usefulness and ease of use. Journal of Information & Management, 35, 237–250. Kiesler S, Siegal J, McGire TW. (1984). Social Psychological aspects of computer-mediated communication. American Psychologist 39: 1123-1134. Kleijnen, M., Wetzels, M., & De Ruyter, K. (2004) Consumer acceptance of wireless finance, Journal of Financial Services marketing, 8 (3), 206-217. Kraut, R. E., Patterson, M., Lundmark, V., Kiesler, S., Mukhopadhyay, T., & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being. American Psychologist, 53, 1017–1033. Kraut, R. E., Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., & Crawford, A. (2002). Internet paradox revisited. Journal of Social Issues, 58(1), 49–74. Kripanont, N., & Tatnall, A. (2009). The role of a modified technology acceptance model in explaining Internet usage in higher education in Thailand. International Journal of Actor-Network Theory and Technological Innovation, 1, 31-49. Kwon, T., & Zmud, R. (1987) Unifying the fragmented models of information systems implementation. In J. Boland, Critical Issues in Information Systems Research, New York, NY: Wiley, 227-251. Lai, V. S., Chau, P. Y., and Cui, X. (2010) Examining Internet banking acceptance: a comparison of alternative technology adoption models. International Journal of Electronic Business, 8 (1), 51. Lai, V.S. & Li, H. (2005). Technology acceptance model for internet banking: an invariance analysis. Journal of Information & Management 42, 373– 386. LaRose, R., Lin, C.A., & Eastin, M.S. (2003). Unregulated Internet usage: Addiction, habit, or deficient self-regulation? Media Psychology, 5, 225-253. Lee, M. C. (2009). Understanding the behavioural intention to play online games: an extension of the theory of planned behaviour. Online Information Review, 33 (5), 849-872. Lee, S.F., Tsai, Y.C., and Jih, W.J. (2007) An Empirical Examination of Customer Perceptions of Mobile Advertising. Journal of Information Resources Management, 19 (4). Lee, Y. and Zoonky, L. (2006). Social influence on technology acceptance behavior: self-identity theory perspective". ACM SIGMIS Database, 37(2) 13-23. Leung, L. (2002). Loneliness, Self-disclosure, and ICQ Use. CyberPsychology & Behavior, 5(3), 241-251. Li, D., Chau, P. Y. K and Lou, H. (2005). Understanding individual adoption of instant messaging: An empirical investigation. Journal of Association for Information Systems, 6 (4), 102-129. Lu, H.P. and Hsiao, K.L. (2009). Gender differences in reasons for frequent blog posting. Online Information Review, 33(1), 135-156. Lu, J., Liu, C., Yu, C. S. and Wang, K. (2008). Determinants of accepting wireless mobile data services in China. Information & Management, 45 (1), 52–64. Lu, J., Yu, C.-S., and Liu, C. (2005) Facilitating conditions, wireless trust and adoption intention. Journal of Computer Information Systems, 46(1), 17-24. Lu, Y. B., Zhou, T. and Wang, B. (2009). Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25 (1), 29-39. Ma, Q. and Liu, L. (2004). The technology acceptance model: a meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16 (2), 59-72. Madden, M., & Fox, S. (2006). Riding the waves of “Web 2.0” More that a buzzword, but still not easily defined. Retrieved December 2, 2010, from http:// www.pewinternet.org/PPF/p/1494/pipcomments.asp. Marakas, G.M., Yi, M.Y. and Johnson, R.D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research, Information Systems Research, 9 (2), 126– 163. Midgley, D. F. and Dowling, G. R. (1978). Innovativeness: The concept and its measurement. Journal of Consumer Research, 4 (4), 229–242. Nardi, B. A, Shiano, D. J, Gumbrecht, M., & Swartz, L. (2004). Why we blog? Journal Communications of the ACM, 47(12), 41-46. O'Cass, A. and Fenech, T. (2003). Web retailing adoption: Exploring the nature of Internet users web retailing behavior. Journal of Retailing and Consumer Services, 10 (2), 81–94. Pak, H. S. (2000) Relationships among attitudes and subjective norms: testing the theory of reasoned action across cultures. Journal of Communication Studies, 51(2), 162-175. Peplau, L.A. and Perlman, D. (1982). Loneliness: A Sourcebook of Current Theory, Research and Therapy. New York: John Wiley. Phuangthong, S., & Malisuwan, D. (2008). User acceptance of multimedia mobile Internet in Thailand. International Journal of the Computer, the Internet and Management, 16, 22-33. Pornsakulvanich, V. (2008). Internet addiction, individual differences, and wellbeing among Thai students in a private university. Association of Private Higher Education Institutions of Thailand Journal, 18(2), 1-17. Pornsakulvanich, V., Haridakis, P.M., & Rubin, A.M. (2008). The influence of dispositions and Internet motivation on online communication satisfaction and relationship closeness. Computers in Human Behavior, 24, 2292-2310. Riketta, M. (2002). Attitudinal organizational commitment and job performance: a meta-analysis. Journal of organizational Behavior, 23, (1), 257–266. Rogers, E. M. (1962). Diffusion of innovations, 1st Edition. New York: Free Press. Scharlott, B. W., & Christ, W. G. (1995). Overcoming relationship-initiation barriers: The impact of a computer-dating system on sex role, shyness, and appearance inhibitions. Computers in Human Behavior, 11, 191-204. Segars, A.H. and Grover, V. (1993) Re-examining perceived ease of use and usefulness: a confirmatory factor analysis. MIS Quarterly 17, 517–525. Shang, R.A., Chen, Y.C. and Hung C.C. (2008). Toward a cultural phenomenon of blogging-The impacts of individualism-collectivism and self-efficacy. In proceedings of the 12th Pacific Asia Conference on Information Systems (PACIS 2008), Suzhou, China. Shen, C. C., & Chiou, J. S. (2009). The effect of community identification on attitude and intention toward a blogging community. Journal of Internet Research, 19(4), 393-406. Shih, H.P. (2004) Extended technology acceptance model of Internet utilization behavior. Information & Management 41 (6), 719–729. Song, J., and Kim, Y. J. (2006) Social influence process in the acceptance of a virtual community service. Journal of Information Systems Front, 8(1), 241-252. Stritzke, W. G. K., Nguyen, A., & Durkin, K. (2004). Shyness and computer-mediated communication: A self-presentational theory perspective. Media Psychology,6,1-22. Tajfel, H. (1978). Differentiation between social groups. Studies in the social psychology of intergroup relations. Academic Press, London. Tajfel, H. (2000). Social categorization?", Social Identity Processes in Organizational Contexts, Psychology Press, Philadelphia, PA, 292-322. Van der Heijden, H. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28 (4), 695–704. van Raaij, E.M. and Schepers, J.J.L. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50, 838-852. Venkatesh, V. and Morris, M. (2000) Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior, MIS Quarterly, 24(1), 115-139. Venkatesh, V. Speier, C. and Morris, M.G. (2003) User Acceptance enablers in individual decision making about technology: toward an integrated model, Journal of Decision Sciences 33 (2), 297–315. Walczuch, R., Lemmink, J. and Streukens, S. (2007). The effect of service employees' technology readiness on technology acceptance. Information & Management, 44 (2), 206-215. Wallace, P. (1999). The Psychology of the Internet. Cambridge University Press: Cambridge. Walther, J.B., Heide, B.V., Kim, S., Westerman, D., & Tong, S.T. (2008). The role of friends’ appearance and behavior on evaluations of individuals on Facebook: Are we known by company we keep? Human Communication Research, 34, 28-49. Wasko, M. M. and Faraj, S. (2005), “Why should AI share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1),35-57. Williams, J. B., & Jacobs, J. (2004). Exploring the use of blogs as learning spaces in the higher education sector. Australasian Journal of Educational Technology, 20(2), 232-247. Wooley, D., and Eining, M. (2009) Software piracy among accounting students: a longitudinal comparison of chance and sensitivity. Journal of Information Systems,20(1),49-63. Wu, J., and Liu, D. (2007) The Effects of trust and enjoyment on intention to play online games. Journal of Electronic Commerce Research, 8(2), Yang, S. Park, J. and Park, J. (2007). Consumers’ channel choice for university-licensed products: Exploring factors of consumer acceptance with social identification. Journal of Retailing and Consumer Services, 14 (3), 165-174. Zhang, K. Z., Lee, M. K., Cheung, C. M., & Chen, H. P. (2009). Understanding the role of gender in bloggers' switching behavior. Journal of Decision Support Systems, 47(4), 540-563. Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52, 2-22.

Similar Items