Hype or help? A longitudinal field study of virtual world use for team collaboration

Journal of the Association for Information Systems

Volumn 13, Issue 10, 2012, Pages 735-771

  Venkatesh, Viswanath ^a   Windeler, Jaime B ^b  

^a Springfield Neurological and Spine Institute   (United States)

^b UNIVERSITY OF CINCINNATI   (United States)

Author keywords

Cohesion; Computer playfulness; Computer self efficacy; Disposition; Personal innovativeness in it; Personality; Team collaboration; Virtual worlds

Indexed keywords

EID: 84868310856     PISSN: 15583457     EISSN: 15369323     Source Type: Journal    
DOI: 10.17705/1jais.00312     Document Type: Article

References (162)

1. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
2. Agarwal, R., & Prasad, J. (1998a). The antecedents and consequents of user perceptions in information technology adoption. Decision Support Systems, 22(1), 15-29.
3. Agarwal, R., & Prasad, J. (1998b). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.
4. Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000). Research report: The evolving relationship between general and specific computer self-efficacy - an empirical assessment. Information Systems Research, 11(4), 418-430.
5. Ajzen, I. (2005). Attitudes, personality and behavior. Berkshire, U.K.: Open University Press.
6. Ancona, D. G., Goodman, P. S., Lawrence, B. S., & Tushman, M. L. (2001). Time: A new researchlens. Academy of Management Review, 26(4), 645-663.
7. Bailenson, J. N., Yee, N., Merget, D., & Schroeder, R. (2006). The effect of behavioral realism and form realism of real-time avatar faces on verbal disclosure, nonverbal disclosure, emotion recognition, and copresence in dyadic interaction. Presence: Teleoperators and Virtual Environments, 15, 359-372.
8. Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
9. Barrick, M. R., & Mount, M. K. (1991). The big five personality dimensions and job performance: Ameta-analysis. Personnel Psychology, 44, 1-26.
10. Barrick, M. R., Mount, M. K., & Judge, T. A. (2001). Personality and performance at the beginning of the new millennium: What do we know and where do we go next? International Journal of Selection and Assessment, 9(1-2), 9-30.
11. Barrick, M. R., Stewart, G. L., & Piotrowski, M. (2002). Personality and job performance: Test of the mediating effects of motivation among sales representatives. Journal of Applied Psychology,87(1), 43-51.
12. Bartle, R. (2003). Designing virtual worlds. Indianapolis, IN: New Riders Publishing.
13. Bem, D. (1970). Beliefs, attitudes, and human affairs. Belmont, CA: Brooks Cole Publishing Co. Benbasat, I., & Dexter, A. S. (1986). An investigation of the effectiveness of color and graphical information presentation under varying time constraints. MIS Quarterly, 10(1), 59-83.
14. Berlyne, D. E. (1960). Conflict, arousal, and curiosity. New York, NY: McGraw-Hill Companies.
15. Blascovich, J. (2002). Social influence within immersive virtual environments. In R. Schroeder (Ed.), The social life of avatars: Presence and interaction in shared virtual environments (pp. 127-145). London, UK: Springer-Verlag.
16. Bliese, P. D. (2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. In K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations: Foundations, extensions, and new direction (pp.349-381). San Francisco, CA: Jossey-Bass.
17. Bollen, K. A., & Hoyle, R. H. (1990). Perceived cohesion: A conceptual and empirical examination. Social Forces, 69(2), 479-504.
18. Bono, J. E., & Judge, T. A. (2004). Personality and transformational and transactional leadership: A meta-analysis. Journal of Applied Psychology, 89(5), 901-910.
19. Carlson, J. R., & Zmud, R. W. (1994). Channel expansion theory: A dynamic view of media and information richness perceptions. Paper presented at the Academy of Management BestPaper Proceedings, Dallas, TX.
20. Carlson, J. R., & Zmud, R. W. (1999). Channel expansion theory and the experiential nature of media richness perceptions. Academy of Management Journal, 42(2), 153-170.
21. Carte, T., & Chidambaram, L. (2004). A capabilities-based theory of technology deployment in diverse teams: Leapfrogging the pitfalls of diversity and leveraging its potential with collaborative technology. Journal of the Association for Information Systems, 5(11-12), 448-471.
22. Chidambaram, L. (1996). Relational development in omputer-supported groups. MIS Quarterly,20(2), 143-165.
23. Chidambaram, L., & Bostrom, R. P. (1993). Evolution of group performance over time: A repeated measures study of gdss effects. Journal of Organizational Computing and Electronic Commerce, 3(4), 443-469.
24. Chin, W. W. (1998). Issues and opinions on structural equation modeling. MIS Quarterly, 22(1), 7-16.
25. Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a monte carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189-217.
26. Claggett, J. L., & Goodhue, D. L. (2011). Have IS researchers lost bandura's self-efficacy concept? A discussion of the definition and measurement of computer self-efficacy. Paper presented at the Proceedings of the 44th Hawaii International Conference on System Sciences, Manoa, Hawaii.
27. Clark, L. A., Livesley, W. J., Schroeder, M. L., & Irish, S. L. (1996). Convergence of two systems for assessing specific traits of personality disorder. Psychological Assessment, 8, 294-303.
28. Coelho, C., Tichon, J., Hine, T. J., & Wallis, G. (2006). Media presence and inner presence: The sense of presence in virtual reality technologies. In G. Riva, M. T. Anguera, B. K. Widerhold & F. Mantovani (Eds.), From communication to presence: Cognition, emotions and culture towards the ultimate communicative experience (pp. 22-45). Fairfax, VA: IOS Press.
29. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
30. Costa, P. T., & McCrae, R. R. (1980). Influence of extraversion and neuroticism on subjective well-being: Happy and unhappy people. Journal of Personality and Social Psychology, 38(4), 668-678.
31. Costa, P. T., & McCrae, R. R. (1992). Neo-pi-r professional manual. Odessa, FL: Psychological Assessment Resources.
32. Cramton, C. D. (2001). The mutual knowledge problem and its consequences for dispersed collaboration. Organization Science, 12(3), 346-371.
33. Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York, NY: Harper and Row.
34. Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554-571.
35. Davis, J., Lee, L., & Yi, M. (2007). Examining the relationships among personality traits, IT-specific traits, and perceived ease of use. Paper presented at the 2007 Americas Conference on Information Systems (AMCIS) Keystone, CO.
36. Davis, M. H. (1983). Measuring individual differences in empathy: Evidence for a multidimensional approach. Journal of Personality and Social Psychology, 44(1), 113-126.
37. de Vries, R. E., van den Hooff, B., & de Ridder, J. A. (2006). Explaining knowledge sharing. Communication Research, 33(2), 115-135.
38. Dennis, A. R., Fuller, R. M., & Valacich, J. S. (2008). Media, tasks, and communication processes: A theory of media synchronicity. MIS Quarterly, 32(3), 575-600.
39. Devaraj, S., Easley, R. F., & Crant, J. M. (2008). How does personality matter? Relating the five-factor model to technology acceptance and use. Information Systems Research, 19(1), 93-105.
40. Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41(1), 417-440.
41. Dubrovsky, V. J., Kiesler, S., & Sethna, B. N. (1991). The equalization phenomenon: Status effects in computer-mediated and face-to-face decision-making groups. Human-Computer Interaction, 6(2), 119-146.
42. Easley, R. F., Devaraj, S., & Crant, J. M. (2003). Relating collaborative technology use to teamwork quality and performance: An empirical analysis. Journal of Management Information Systems, 19(4), 247-268.
43. Evans, C. R., & Dion, K. L. (1991). Group cohesion and performance. Small Group Research, 22(2), 175-186.
44. Festinger, L. (1950). Informal social communication. Psychological Review, 57(5), 271-282.
45. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
46. Franceschi, K., Lee, R. M., Zanakis, S. H., & Hinds, D. (2009). Engaging group e-learning in virtual worlds. Journal of Management Information Systems, 26(1), 73-100.
47. Gartner Group. (2007). Gartner says 80 percent of active internet users will have a second life in the virtual world by the end of 2011 [press release]. Retrieved August 7, 2012, from http://www.gartner.com/it/page.jsp?id=503861
48. Gartner Group. (2008). Gartner says 90 per cent of corporate virtual world projects fail within 18 months [press release]. Retrieved August 7, 2012, from http://www.gartner.com/it/page.jsp?id=670507
49. George, J. M., & Jones, G. R. (2000). The role of time in theory and theory building. Journal of Management, 26(4), 657-684.
50. Goldsmith, R. E. (1984). Personality characteristics associated with adaption-innovation. Journal of Psychology, 117, 159-165.
51. Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209-221. Google. (2008). Lively no more. Retrieved August 7, 2013, from http://googleblog.blogspot.com/2008/11/lively-no-more.html
52. Gully, S. M., Devine, D. J., & Whitney, D. J. (1995). A meta-analysis of cohesion and performance. Small Group Research, 26(4), 497-520.
53. Hackman, J. R., & Vidmar, N. (1970). Effects of size and task type on group performance and member reactions. Sociometry, 33, 37-54.
54. Hambley, L. A., O'Neill, T. A., & Kline, T. J. B. (2007). Virtual team leadership: The effects of leadership style and communication medium on team interaction styles and outcomes. Organizational Behavior and Human Decision Processes, 103(1), 1-20.
55. Hamburger, Y. A., & Ben-Artzi, E. (2000). The relationship between extraversion and neuroticism and the different uses of the internet. Computers in Human Behavior, 16, 441-449.
56. Harrison, D. A., Price, K. H., Gavin, J. H., & Florey, A. T. (2002). Time, teams, and task performance: Changing effects of surface-and deep-level diversity on group functioning. Academy of Management Journal, 45(5), 1029-1045.
57. Hassell, M., Goyal, S., Limayem, M., & Boughzala, I. (2009). Being there: An empirical look at learning outcomes in 3D virtual worlds. Paper presented at the 2009 Americas Conference on Information Systems, San Francisco, CA.
58. Held, R. M., & Durlach, N. I. (1992). Telepresence. Presence: Teleoperators and Virtual Environments, 1(1), 109-112.
59. Hendaoui, A., Limayem, M., & Thompson, C. W. (2008). 3D social virtual worlds: Research issues and challenges. IEEE Internet Computing, 12(1), 88-92.
60. Hertel, G., Schroer, J., Batinic, B., & Naumann, S. (2008). Do shy people prefer to send e-mail?: Personality effects on communication media preferences in threatening and nonthreatening situations. Social Psychology, 39(4), 231-243.
61. Hoegl, M., & Gemuenden, H. G. (2001). Teamwork quality and the success of innovative projects: A theoretical concept and empirical evidence. Organization Science, 12(4), 435-449.
62. Holsapple, C. W., & Wu, J. (2007). User acceptance of virtual worlds: The hedonic framework. ACM SIGMIS Database, 38, 89-89.
63. Holton, J. A. (2001). Building trust and collaboration in a virtual team. Team Performance Management, 7(3-4), 36-47.
64. Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended tam with social influences and flow experience. Information & Management, 41(7), 853-868.
65. Huang, R., Jestice, R., & Kahai, S. (2009). Virtual world collaboration and leadership: Effects on team process and outcomes. Paper presented at the 2009 Mardi Gras Conference: Association for Information Systems, Baton Rouge, LA.
66. Ilies, R., Wagner, D. T., & Morgeson, F. P. (2007). Explaining affective linkages in teams: Individual differences in susceptibility to contagion and individualism-collectivism. Journal of Applied Psychology, 92(4), 1140-1148.
67. Jäkälä, M., & Pekkola, S. (2007). From technology engineering to social engineering: 15 years of research on virtual worlds. ACM SIGMIS Database, 38(4), 11-16.
68. Jarmon, L., Traphagan, T., & Mayrath, M. (2008). Understanding project-based learning in second life with a pedagogy, training, and assessment trio. Educational Media International, 45(3), 157-176.
69. Jarvenpaa, S. L., Knoll, K., & Leidner, D. E. (1998). Is anybody out there?: Antecedents of trust in global virtual teams. Journal of Management Information Systems, 14(4), 29-64.
70. Jarvenpaa, S. L., & Leidner, D. E. (1999). Communication and trust in global virtual teams. Organization science, 10(6), 791-815.
71. Jasperson, J., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly, 29(3), 525-557.
72. John, O. P., & Srivastava, S. (1999). The big-five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (pp. 102-138). New York, NY: The Guildford Press.
73. Judge, T. A., Heller, D., & Mount, M. K. (2002). Five-factor model of personality and job satisfaction: A meta-analysis. Journal of Applied Psychology, 87, 530-541.
74. Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183-213.
75. Kayworth, T., & Leidner, D. (2000). The global virtual manager: A prescription for success. European Management Journal, 18(2), 183-194.
76. Kilduff, M., & Tsai, W. (2003). Social networks and organizations. London, U.K.: Sage Publications.
77. Kim, J. Y. (2000). Social interaction in computer-mediated communication. Bulletin of the American Society for Information Science and Technology, 26(3), 15-17.
78. Landers, R. N., & Lounsbury, J. W. (2006). An investigation of big five and narrow personality traits in relation to internet usage. Computers in Human Behavior, 22, 283-293.
79. Langfred, C. W. (1998). Is group cohesiveness a double-edged sword? Small Group Research, 29(1),124-143.
80. Lebie, L., Rhoades, J. A., & McGrath, J. E. (1996). Interaction process in computer-mediated and face-to-face groups. Computer Supported Cooperative Work, 4, 127-152.
81. Leonard-Barton, D., & Deschamps, I. (1988). Managerial influence in the implementation of new technology. Management Science, 34(10), 1252-1265.
82. LePine, J. A. (2003). Team adaptation and post-change performance: Effects of team composition in terms of members' cognitive ability and personality. Journal of Applied Psychology, 88(1), 27-39.
83. Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS Quarterly, 27(4), 657-678.
84. Limayem, M., & Hirt, S. G. (2003). Force of habit and information systems usage: Theory and initial validation. Journal of the Association for Information Systems, 4(3), 65-97.
85. Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4), 705-737.
86. Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114-121.
87. Lombard, M., & Ditton, T. (1997). At the heart of it all: The concept of presence. Journal of Computer Mediated Communication, 3(2).
88. Lurey, J. S., & Raisinghani, M. S. (2001). An empirical study of best practices in virtual teams. Information & Management, 38(8), 523-544.
89. Magni, M., Taylor, M.S., & Venkatesh, V. (2010). "To play or not to play": A cross-temporal investigation using hedonic and instrumental perspectives to explain user intentions to explore a technology. International Journal of Human-Computer Studies, 68(9), 572-588.
90. Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in is research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883
91. Malhotra, Y., & Galletta, D. (2003). A multidimensional commitment model of volitional systems adoption and usage behavior. Journal of Management Information Systems, 22(1), 117-151.
92. Malone, T. W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive Science, 5(4), 333-369.
93. Marks, M. A., Mathieu, J. E., & Zaccaro, S. J. (2001). A temporally based framework and taxonomy of team processes. Academy of Management Review, 26(3), 356-376.
94. Maruping, L. M., & Agarwal, R. (2004). Managing team interpersonal processes through technology: A task-technology fit perspective. Journal of Applied Psychology, 89(6), 975-990.
95. Maznevski, M. L., & Chudoba, K. M. (2000). Bridging space over time: Global virtual team dynamics and effectiveness. Organization Science, 11(5), 473-492.
96. McCrae, R. R., & Costa, P. T. (1997). Conceptions and correlates of openness to experience. In R.Hogan, J. Johnson & S. Briggs (Eds.), Handbook of personality psychology (pp. 825-847).San Diego, CA: Academic Press.
97. McElroy, J. C., Hendrickson, A. R., Townsend, A. M., & DeMarie, S. M. (2007). Dispositional factors in internet use: Personality versus cognitive style. MIS Quarterly, 31(4), 809-820.
98. Mechanic, D. (1991). Some modes of adaptation: Defense. In A. Monat & R. S. Lazarus (Eds.), Stress and coping: An anthology (pp. 337-351). New York, NY: Columbia University Press.
99. Meyer, P., & Swatman, P. (2009). Virtual worlds: The role of rooms and avatars in virtual teamwork. Paper presented at the 2009 Americas Conference on Information Systems (AMCIS), San Francisco, CA.
100. Morgeson, F. P., Reider, M. H., & Campion, M. A. (2005). Selecting individuals in team settings: The importance of social skills, personality characteristics, and teamwork knowledge. Personnel Psychology, 58, 583-611.
101. Neubert, M. J., & Taggar, S. (2004). Pathways to informal leadership: The moderating role of gender on the relationship of individual differences and team member network centrality to informalleadership emergence. The Leadership Quarterly, 15(2), 175-194.
102. Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175-220.
103. Nov, O., & Ye, C. (2008). Personality and technology acceptance: Personal innovativeness in IT, openness and resistance to change. Paper presented at the Proceedings of the 41st Hawaii International Conference on Systems Sciences, Manoa, Hawaii.
104. O'Conaill, B., Whittaker, S., & Wilbur, S. (1993). Conversations over video conferences: An evaluation of the spoken aspects of video-mediated communication. Human-Computer Interaction, 8,389-428.
105. Pellerin, C. (2007). U.S. Government presence grows in second life online world. USINFO. Retrieved August 7, 2012, from http://www.america.gov/st/washfile-english/2007/May/20070508163536lcnirellep0.2645075.html
106. Postmes, T., Spears, R., & Lea, M. (2000). The formation of group norms in computer-mediated communication. Human Communication Research, 26(3), 341-371.
107. Powell, A., Piccoli, G., & Ives, B. (2004). Virtual teams: A review of current literature and directions for future research. ACM SIGMIS Database, 35(1), 6-36.
108. Rafaeli, S., & Ravid, G. (2003). Information sharing as enabler for the virtual team: An experimental approach to assessing the role of electronic mail in disintermediation. Information Systems Journal, 13(2), 191-206.
109. Rai, A., Maruping, L. M., & Venkatesh, V. (2009). Offshore information systems project success: The role of social embeddedness and cultural characteristics. MIS Quarterly, 33(3), 617-641.
110. Ringle, C. M., Wende, S., & Alexander, W. (2005). Smartpls (Version 2.0 beta). Hamburg, Germany. Rogers, E. M. (1995). Diffusion of innovations. New York, NY: Free Press.
111. Ryckman, R. (2004). Theories of personality. Stamford, CT: Wadsworth Publishing. Sas, C., O'Hare, G. M. P., & Reilly, R. (2004). Presence and task performance: An approach in the light of cognitive style. Cognition, Technology & Work, 6(1), 53-56.
112. Schroeder, R., Steed, A., Axelsson, A. S., Heldal, I., Abelin, Å., Wideström, J., Nilsson, A., & Slater, M. (2001). Collaborating in networked immersive spaces: As good as being there together? Computers & Graphics, 25, 781-788.
113. Sherman, C. (2009). 2009 virtual goods investment report: $1.38 billion invested in 87 virtual goods-related companies worldwide in 2009. Engage Digital Media. Retrieved August 22, 2012,from http://www.engagedigitalmedia.com/research/2009/vg2009invest2.html
114. Shroff, R. H., Vogel, D. R., & Coombes, J. (2008). Assessing individual-level factors supporting student intrinsic motivation in online discussions: A qualitative study. Journal of Information Systems Education, 19(1), 111-126.
115. Slater, M., Linakis, V., Usoh, M., Kooper, R., & Street, G. (1996). Immersion, presence, and performance in virtual environments: An experiment with tri-dimensional chess. Paper presented at the ACM Virtual Reality Software and Technology Conference, Hong Kong.
116. Slater, M., Sadagic, A., Usoh, M., & Schroeder, R. (2000). Small-group behavior in a virtual and realenvironment: A comparative study. Presence: Teleoperators & Virtual Environments, 9(1), 37-51.
117. Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312.
118. Straus, S. G. (1997). Technology, group process, and group outcomes: Testing the connections in computer-mediated and face-to-face groups. Human-Computer Interaction, 12(3), 227-266.
119. Straus, S. G., & McGrath, J. E. (1994). Does the medium matter? The interaction of task type and technology on group performance and member reactions. Journal of Applied Psychology, 79(1), 87-97.
120. Stritzke, W. G. K., Nguyen, A., & Durkin, K. (2004). Shyness and computer-mediated communication: A self-presentational theory perspective. Media Psychology, 6, 1-22.
121. Suh, K. S., & Lee, Y. E. (2005). The effects of virtual reality on consumer learning: An empiricalinvestigation. MIS Quarterly, 29(4), 673-697.
122. Sun, H., & Zhang, P. (2006). The role of affect in information systems research. In P. Zhang & D.Galletta (Eds.), Human-computer interaction and management information systems: Foundations (pp. 295). Armonk, NY: M.E. Sharp, Inc.
123. Swickert, R. J., Hittner, J. B., Harris, J. L., & Herring, J. A. (2002). Relationships among internet use, personality, and social support. Computers in Human Behavior, 18(4), 437-451.
124. Sykes, T. A., Venkatesh, V., & Gosain, S. (2009). Model of acceptance with peer support: A social network perspective to understand employees' system use. MIS Quarterly, 33(2), 371-393.
125. Sykes, T. A., Venkatesh, V., & Johnson, J. (2007). Enterprise system implementation: Personality, system-related advice networks and job performance. Paper presented at the 2007 International Conference on Information Systems (ICIS), Montreal, Quebec.
126. Sykes, T. A., Venkatesh, V., & Johnson, J. (Forthcoming). Enterprise system implementation and employee job performance: Understanding the role of advice networks. MIS Quarterly.
127. Sykes, T. A., Venkatesh, V., & Rai, A. (2011). Explaining physicians' use of emr systems and patient satisfaction in the shakedown phase. Journal of the American Medical Informatics Association, 18(2), 125-130.
128. Takahashi, D. (2010). Oracle kills project darkstar; adios to virtual worlds. VentureBeat. Retrieved August 7, 2012 from http://venturebeat.com/2010/02/04/oracle-kills-project-darkstar-adios-to-virtual-worlds/
129. Terdiman, D. (2010). Where virtual worlds once ruled, Farmville dominates. Cnet. Retrieved August 7, 2012, from http://news.cnet.com/8301-13772_3-10460293-52.html
130. Thatcher, J. B., & Brown, S. M. B. (2010) Individual creativity in teams: The importance of communication media mix. Decision Support Systems, 49(3), 290-300.
131. Thatcher, J. B., Loughry, M. L., Lim, J., & McKnight, D. H. (2007). Internet anxiety: An empirical study of the effects of personality, beliefs, and social support. Information & Management, 44(4), 353-363.
132. Thatcher, J. B., & Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26(4), 381-396.
133. Turner, J. C. (1991). Social influence. Milton Keynes, U.K.: Open University Press.
134. Tuten, T. L., & Bosnjak, M. (2001). Understanding differences in web usage: The role of need for cognition and the five factor model of personality. Social Behavior and Personality, 29(4),391-398.
135. Tversky, A., & Kahneman, D. (2000). Judgment under uncertainty: Heuristics and biases. In T. Connolly, H. R. Arkes & K. R. Hammond (Eds.), Judgment and decision making: An interdisciplinary reader (pp. 35-52). Cambridge, U.K.: Cambridge University Press.
136. van Raaij, E. M., & Schepers, J. J. L. (2008). The acceptance and use of a virtual learning environment in china. Computers & Education, 50(3), 838-852.
137. van Vianen, A. E. M., & De Dreu, C. K. W. (2001). Personality in teams: Its relationship to social cohesion, task cohesion, and team performance. European Journal of Work and Organizational Psychology, 10(2), 97-120.
138. Venkatesh, V. (1999). Creation of favorable user perceptions: Exploring the role of intrinsicmotivation. MIS Quarterly, 23(2), 239-260.
139. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4),342-365.
140. Venkatesh, V., & Agarwal, R. (2006). Turning visitors into customers: A usability-centric perspective on purchase behavior in electronic channels. Management Science, 52(3), 367-382.
141. Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315.
142. Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
143. Venkatesh, V., Davis, F. D., & Morris, M. G. (2007). Dead or alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 267-286.
144. Venkatesh, V., Maruping, L. M., & Brown, S. A. (2006). Role of time in self-prediction of behavior. Organizational Behavior and Human Decision Processes, 100(2), 160-176.
145. Venkatesh, V., & Morris, M. G. (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.
146. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
147. Venkatesh, V., & Speier, C. (1999). Computer technology training in the workplace: A longitudinal investigation of the effect of mood. Organizational Behavior and Human Decision Processes, 79(1), 1-28.
148. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
149. Venkatesh, V., Zhang, X., & Sykes, T. A. (2011). Doctors do too little technology: A longitudinal field study of an electronic healthcare system implementation. Information Systems Research, 22(3), 523-546.
150. Venkatraman, N. (1991). IT-induced business reconfiguration. In M. S. Scott Morton (Ed.), The corporation of the 1990s: Information technology and organizational transformation (pp. 112-158). New York, NY: Oxford University Press.
151. Walsh, K. R., & Pawlowski, S. D. (2002). Virtual reality: A technology in need of IS research. Communications of the Association for Information Systems, 8, 297-313.
152. Walther, J. B. (1992). Interpersonal effects in computer-mediated interaction. Communication Research, 19, 52-90.
153. Walther, J. B. (1995). Relational aspects of computer-mediated communication: Experimental observations over time. Organization Science, 6(2), 186-203.
154. Walther, J. B. (1996). Computer-mediated communication: Impersonal, interpersonal, and hyperpersonal interaction. Communication Research, 23(1), 3-43.
155. Warkentin, M. E., Sayeed, L., & Hightower, R. (1997). Virtual teams versus face-to-face teams: An exploratory study of a web-based conference system. Decision Sciences, 28(4), 975-996.
156. Webster, J., & Martocchio, J. J. (1992). Microcomputer playfulness: Development of a measure with workplace implications. MIS Quarterly, 16(2), 201-226.
157. Wiggins, J. S. (1996). The five-factor model of personality: Theoretical perspectives. New York, NY: The Guilford Press.
158. Woszczynski, A. B., Roth, P. L., & Segars, A. H. (2002). Exploring the theoretical foundations of playfulness in computer interactions. Computers in Human Behavior, 18(4), 369-388.
159. Yee, N., & Bailenson, J. (2007). The proteus effect: The effect of transformed self-representation on behavior. Human Communication Research, 33, 271-290.
160. Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431-449.
161. Zander, A., & Forward, J. (1968). Position in group, achievement motivation, and group aspirations. Journal of Personality and Social Psychology, 8(3), 282-288.
162. Zhang, X., & Venkatesh, V. (Forthcoming). Explaining Employee Job Performance: Role of online and offline communication networks. MIS Quarterly.