Exploring the intention to continue using social networking sites: The case of Facebook

Technological Forecasting and Social Change

Volumn 95, Issue , 2015, Pages 48-56

  Chang, Chia Chin ^a   Hung, Shiu Wan ^b   Cheng, Min Jhih ^b   Wu, Ching Yi ^c  

^a NATIONAL DEFENSE UNIVERSITY   (Taiwan)

^b NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^c ASUSTEK COMPUTER INC   (Taiwan)

Author keywords

Behavioral intention; Conformity tendency; Playfulness; Social networking site

Indexed keywords

BEHAVIORAL RESEARCH; SURVEYS; WEBSITES;

BEHAVIORAL INTENTION; CONFORMITY TENDENCY; INFORMATION ACQUISITIONS; PLAYFULNESS; SOCIAL NETWORKING SITES; SOCIAL NETWORKING SITES (SNSS); STRUCTURAL EQUATION MODELING; TECHNOLOGY ACCEPTANCE MODEL;

SOCIAL NETWORKING (ONLINE);

EID: 84929656966     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2014.03.012     Document Type: Article

References (73)

1. Cheung C.M., Lee M.K. Understanding the sustainability of a virtual community: model development and empirical test. J. Inf. Sci. 2009, 35:279-298.
2. Lin K.Y., Lu H.P. Why people use social networking sites: an empirical study integrating network externalities and motivation theory. Comput. Hum. Behav. 2011, 27:1152-1161.
3. Koh J., Kim Y.G., Butler B., Bock G.W. Encouraging participation in virtual communities. Commun. ACM 2007, 50:68-73.
4. Kane G.C., Fichman R.G., Gallaugher J., Glaser J. Community relations 2.0. Harv. Bus. Rev. 2009, 87:45-50. 132.
5. Pfeil U., Arjan R., Zaphiris P. Age differences in online social networking: a study of user profiles and the social capital divide among teenagers and older users in MySpace. Comput. Hum. Behav. 2009, 25:643-654.
6. Ross C., Orr E.S., Sisic M., Arseneault J.M., Simmering M.G., Orr R.R. Personality and motivations associated with Facebook use. Comput. Hum. Behav. 2009, 25:578-586.
7. Preece J. Sociability and usability in online communities: determining and measuring success. Behav. Inform. Technol. 2001, 20:347-356.
8. Lieberman J.N. Playfulness: Its Relationship to Imagination and Creativity 1977, Academic Press, New York.
9. Comber R., Thieme A., Rafiev A., Taylor N., Krämer N., Olivier P. BinCam: Designing for Engagement with Facebook for Behavior Change, in: Human-Computer Interaction-INTERACT 2013 2013, 99-115. Springer.
10. Brandtzæg P.B., Heim J. Why people use social networking sites. Online Communities and Social Computing 2009, 143-152. Springer.
11. Suki N.M., Ramayah T., Ly K.K. Empirical investigation on factors influencing the behavioral intention to use Facebook. Univ. Access Inf. Soc. 2012, 11:223-231.
12. Moon J.W., Kim Y.-G. Extending the TAM for a World-Wide-Web context. Inf. Manag. 2001, 38:217-230.
13. Burnkrant R.E., Cousineau A. Informational and normative social influence in buyer behavior. J. Consum. Res. 1975, 2:206-215.
14. Hogg M.A., Turner J.C. Social identity and conformity: a theory of referent informational influence. Curr. Issues Eur. Soc. Psychol. 1987, 2:139-182.
15. Lascu D.N., Zinkhan G. Consumer conformity: review and applications for marketing theory and practice. J. Mark. Theory Pract. 1999, 7:1-12.
16. Lin C.S., Wu S., Tsai R.J. Integrating perceived playfulness into expectation-confirmation model for web portal context. Inf. Manag. 2005, 42:683-693.
17. Rosenbaum M.S., Massiah C.A. When customers receive support from other customers: exploring the influence of intercustomer social support on customer voluntary performance. J. Serv. Res. 2007, 9:257-270.
18. Ha S., Stoel L. Consumer e-shopping acceptance: antecedents in a technology acceptance model. J. Bus. Res. 2009, 62:565-571.
19. Egebark J., Ekstrom M. Like What You Like or Like What Others Like? Conformity and Peer Effects on Facebook 2011, Research Institute of Industrial Economics IFN Working Paper, Stockholm.
20. Ajzen I., Fishbein M. Understanding Attitudes and Predicting Social Behaviour 1980.
21. Ajzen I. From Intentions to Actions: A Theory of Planned Behavior 1985, Springer.
22. Yi M.Y., Jackson J.D., Park J.S., Probst J.C. Understanding information technology acceptance by individual professionals: toward an integrative view. Inf. Manag. 2006, 43:350-363.
23. Davis F.D., Bagozzi R.P., Warshaw P.R. Extrinsic and intrinsic motivation to use computers in the workplace1. J. Appl. Soc. Psychol. 1992, 22:1111-1132.
24. Kim E., Lee B. An economic analysis of customer selection and leveraging strategies in a market where network externalities exist. Decis. Support. Syst. 2007, 44:124-134.
25. Lin C.P., Bhattacherjee A. Elucidating individual intention to use interactive information technologies: the role of network externalities. Int. J. Electron. Commer. 2008, 13:85-108.
26. Taylor S., Todd P.A. Understanding information technology usage: a test of competing models. Inf. Syst. Res. 1995, 6:144-176.
27. Davis F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989, 13:319-340.
28. Bagozzi R.P., Davis F.D., Warshaw P.R. Development and test of a theory of technological learning and usage. Hum. Relat. 1992, 45:659-686.
29. Chau P.Y., Hu P.J.-H. Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories. Inf. Manag. 2002, 39:297-311.
30. Hsu C.L., Lu H.P. Why do people play on-line games? An extended TAM with social influences and flow experience. Inf. Manag. 2004, 41:853-868.
31. Davis F.D. User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. Int. J. Man Mach. Stud. 1993, 38:475-487.
32. Venkatesh V., Davis F.D. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 2000, 46:186-204.
33. Fishbein M., Ajzen I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 1975.
34. Hasan B., Ahmed M.U. Effects of interface style on user perceptions and behavioral intention to use computer systems. Comput. Hum. Behav. 2007, 23:3025-3037.
35. Howard R. The Virtual Community: Homesteading on the Electronic Frontier, Cambridge (MA), 7 1993.
36. Luarn P., Lin H.H. Toward an understanding of the behavioral intention to use mobile banking. Comput. Hum. Behav. 2005, 21:873-891.
37. Lee S., Kim B.G. Factors affecting the usage of intranet: a confirmatory study. Comput. Hum. Behav. 2009, 25:191-201.
38. Adams D.A., Nelson R.R., Todd P.A. Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Q. 1992, 16:227-247.
39. Suki N.M., Ramayah T., Suki N.M. Internet shopping acceptance: examining the influence of intrinsic versus extrinsic motivations. Direct Mark. Int. J. 2008, 2:97-110.
40. O'cass A., Fenech T. Web retailing adoption: exploring the nature of internet users web retailing behaviour. J. Retail. Consum. Serv. 2003, 10:81-94.
41. Vijayasarathy L.R. Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Inf. Manag. 2004, 41:747-762.
42. Van der Heijden H. Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Inf. Manag. 2003, 40:541-549.
43. Sledgianowski D., Kulviwat S. Using social network sites: the effects of playfulness, critical mass and trust in a hedonic context. J. Comput. Inf. Syst. 2009, 49:74-83.
44. Kang Y.S., Lee H. Understanding the role of an IT artifact in online service continuance: an extended perspective of user satisfaction. Comput. Hum. Behav. 2010, 26:353-364.
45. Kwon O., Wen Y. An empirical study of the factors affecting social network service use. Comput. Hum. Behav. 2010, 26:254-263.
46. Barnett L.A. Playfulness: definition, design, and measurement. Play. Cult. 1990, 3:319-336.
47. Webster J., Martocchio J.J. Microcomputer playfulness: development of a measure with workplace implications. MIS Q. 1992, 16:201-226.
48. Atkinson M., Kydd C. Individual characteristics associated with World Wide Web use: an empirical study of playfulness and motivation. ACM SIGMIS Database 1997, 28:53-62.
49. Chen L.-D., Gillenson M.L., Sherrell D.L. Enticing online consumers: an extended technology acceptance perspective. Inf. Manag. 2002, 39:705-719.
50. Cheong J.H., Park M.-C. Mobile internet acceptance in Korea. Internet Res. 2005, 15:125-140.
51. Nysveen H., Pedersen P.E., Thorbjørnsen H. Intentions to use mobile services: antecedents and cross-service comparisons. J. Acad. Mark. Sci. 2005, 33:330-346.
52. Çelik H. Influence of social norms, perceived playfulness and online shopping anxiety on customers' adoption of online retail shopping: an empirical study in the Turkish context. Int. J. Retail Distrib. Manag. 2011, 39:390-413.
53. Zimbardo P. The Lucifer Effect: Understanding How Good People Turn Evil 2007, (New York).
54. Bond R., Smith P.B. Culture and conformity: a meta-analysis of studies using Asch's (1952b, 1956) line judgment task. Psychol. Bull. 1996, 119:111-137.
55. McKenna K.Y., Green A.S. Virtual group dynamics. Group Dyn. Theory Res. Pract. 2002, 6:116-127.
56. Wallace P. The Psychology of the Internet 2001, Cambridge University Press.
57. Rosander M., Eriksson O. Conformity on the Internet-the role of task difficulty and gender differences. Comput. Hum. Behav. 2012, 28:1587-1595.
58. Hornsey M.J., Majkut L., Terry D.J., McKimmie B.M. On being loud and proud: non-conformity and counter-conformity to group norms. Br. J. Soc. Psychol. 2003, 42:319-335.
59. Allen V.L. Situational factors in conformity. Adv. Exp. Soc. Psychol. 1966, 2:133-175.
60. Deutsch M., Gerard H.B. A study of normative and informational social influences upon individual judgment. J. Abnorm. Soc. Psychol. 1955, 51:629-636.
61. Secord P., Backman C. Social Psychology 2nd ed, in 1974, McGraw-Hill, New York, NY.
62. Raven B., French J. The bases of social power, studies in social power, Ann Arbor. MI Inst. Soc. Res. 1959, 150-167.
63. Granovetter M. Economic action and social structure: the problem of embeddedness. Am. J. Sociol. 1985, 91:481-510.
64. Dishaw M.T., Strong D.M. Extending the technology acceptance model with task-technology fit constructs. Inf. Manag. 1999, 36:9-21.
65. Wang S.M., Lin J.C.C. The effect of social influence on bloggers' usage intention. Online Inf. Rev. 2011, 35:50-65.
66. Alexa Top Sites Taiwan (accessed May 2013). http://www.alexa.com/topsites/countries/TW.
67. Bearden W.O., Netemeyer R.G., Teel J.E. Measurement of consumer susceptibility to interpersonal influence. J. Consum. Res. 1989, 15:473-481.
68. Bagozzi R.P., Yi Y. On the evaluation of structural equation models. J. Acad. Mark. Sci. 1988, 16:74-94.
69. Hair J.F., Anderson R.E., Tatham R.L., Black W.C. Multivariate Data Analysis 1998, Prentice Hall, New Jersey, NJ. 7th ed.
70. Fornell C., Larcker D. Evaluating structural equation models with unobservable variable and measurement error. J. Mark. Res. 1981, 18:39-50.
71. Venkatesh V. Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 2000, 11:342-365.
72. Cheung C.M.K., Chiu P.Y., Lee M.K.O. Online social networks: why do students use Facebook?. Comput. Hum. Behav. 2011, 27:1337-1343.
73. Baron R.M., Kenny D.A. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J. Pers. Soc. Psychol. 1986, 51:1173-1182.