Exploring the effects of personality on collaboration technology transition

Proceedings of the Annual Hawaii International Conference on System Sciences

Volumn , Issue , 2012, Pages 869-878

  De Vreede, Triparna ^a   De Vreede, Gert Jan ^a,b   Ashley, Gregory ^c   Reiter Palmon, Roni ^a  

^a UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c BELLEVUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SYSTEMS SCIENCE;

COLLABORATION TECHNOLOGY; FIVE-FACTOR MODEL OF PERSONALITY; PERSONALITY CHARACTERISTIC; RESEARCH QUESTIONS; TECHNOLOGY ACCEPTANCE; TECHNOLOGY TRANSITION; TECHNOLOGY TRANSITION MODELS;

TRUCK TRAILERS;

EID: 84857953622     PISSN: 15301605     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2012.269     Document Type: Conference Paper

References (71)

1. Agres, A., Vreede, G. J. & Briggs, R.O. (2005). A tale of two cities: Case studies of group support systems transition. Group Decision & Negotiation, 14, 267-284.
2. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.
3. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 2, 179-211.
4. Albarracin, D., Fishbein, M., Johnson, B. T, & Muellerliele (2001). Theories of reasoned action and planned behavior as models of condom use: A metaanalysis. Psychological Bulletin 127, 142-161.
5. Anthony, L. M., Clarke, M. C., & Anderson, S. J. (2000). Technophobia and personality subtypes in asample of South African university students, Computers in Human Behavior, 16, 31-44.
6. Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice Hall.
7. Barrick, M. R., & Mount, M. K. (1991). The Big Five personality dimensions and job performance: A metaanalysis. Personnel Psychology, 44, 1-26.
8. Barrick, M. R., Mount, M. K. (2000). Select on conscientiousness and emotional stability. E. A. Locke, ed. Handbook of Principles of Organizational Behavior. Blackwell Publishing, Malden, MA.
9. Barrick, M.R., M.K. Mount, T.A. Judge (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 Assessment, 9, 9-30.
10. Botkin, J. & Matthews, J. (1992). Winning combinations: The coming wave of entrepreneurial partnerships between large and small companies. New York: John Wiley & Sons, Inc.
11. Bouchard, T. J., Jr. (1997). The genetics of personality. In K. Blum & E.P. Noble (Eds.), Handbook of psychoneurogenetics (pp. 267-290). Boca Raton: CRC Press.
12. Briggs R.O., Vreede G.J. de, &Nunamaker J.F, Jr. (2003). Collaboration engineering with thinkLets to pursue sustained success with group support systems, Journal of MIS, 19, 4, 31-63.
13. Briggs, R.O., Adkins, M., Mittleman, D., Kruse, J., Miller, S., & Nunamaker, J.F., Jr. (1998-99). A technology transition model derived from field investigation of GSS use aboard the U.S.S. Coronado. Journal of Management Information Systems, 15, 151-95.
14. Brown, H.G., Scott Poole, M., & Rodgers, T.L. (2004). Interpersonal traits, complementarity, and trust in virtual collaboration. Journal of Management Information Systems, 20(4), 115-137.
15. Caspi, A., Roberts, B.W. & Shiner, R. L. (2005). Personality Development, Stability and Change. Annual Review of Psychology, 56, 453-84.
16. Chau, P. & Hu, P. (2001). Information technology acceptance by individual professionals: a model comparison approach. Decision Sciences, 32, 699-719.
17. Chudoba, K.M., Wynn, E., Lu, M. & Watson-Manheim, M.B. (2005). How virtual are we? Measuring virtuality and understanding its impact in a global organization. Information Systems Journal, 15, 279-306.
18. Costa, P., R. McCrae. (1992). Revised NEO Personality Inventory NEO PI-R and NEO Five-Factor Inventory NEO-FFI Professional Manual. Psychological Assessment Resources, Odessa, FL.
19. Costa, P. T., R. R. McCrae, & D. A. Dye. (1991). Facet scales for agreeableness and conscientiousness: A revision of the NEO personality inventory. Personality Individual Differences 12, 887-898.
20. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology.MIS Quarterly 13, 318-340.
21. 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.
22. Espinosa, J., Cummings, J., Wilson, J., & Pearce, B. (2003). Team boundary issues across multiple global firms, Journal of Management Information Systems, 19, 157-190.
23. Finn, S., & Korukonda, A.R. (2004). Avoiding computers: Does personality play a role. In E.P. Bucy (Ed.), Media access: Social and psychological dimensions of new technology use (pp. 73-90). Mahwah, NJ: LEA Publishers.
24. Gallivan, M. J. (2004). Examining IT professionals' adaptation to technological change: the influence of gender and personal attributes, The Database for Advances in Information Systems, 35, 28-49.
25. Goldberg, L.R. (1992). The development of markers for the Big-Five factor structure. Psychological Assessment, 4, 26-42.
26. Goldberg, L. R. (1993). The structure of phenotypic personality traits. American Psychologist, 48. 26-34.
27. Goodhue, D. L. & Thompson, R. L. (1995). Tasktechnology fit and individual performance. MIS Quarterly, 19, 213-236.
28. Gosling SD. 2001. From mice to men: What can we learn about personality from animal research? Psychological Bulletin, 127, 45-86.
29. Graziano, W., & Eisenberg, N. (1997). Agreeableness: A dimension of personality. In R. Hogan, J. Johnson, & S. Briggs (Eds.), Handbook of personality psychology (pp. 795-824). San Diego, CA: Academic Press.
30. Gu, L. & Wang, J. (2009). A study of exploring the "big five" and task technology fit in web-based decision support systems, Issues in Information Systems, 10, 210-217.
31. 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.
32. Jahng, J.J., Jain, H., Ramamurthy, K. (2002). Personality traits and effectiveness of presentation of product information in e-business systems. European Journal of Information Systems, 11(3), 181-195.
33. John, O. P., & Srivastava, S. (1999). The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & Oliver P. John (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102-139). New York: Guilford Press.
34. Junglas, I.A., Johnson, N.A., & Spitzmüller, C. (2008). Personality traits and concern for privacy: an empirical study in the context of location-based services. European Journal of Information Systems, 17(4), 387-402.
35. Kaiser, K. M., &Bostrom, R. P. (1982). Personality characteristics of MIS project teams: An empirical study and action-research design. MIS Quarterly, 6(4), 43-60.
36. Kim, S. S. & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying post adoption phenomena. Management Science 51, 741-755.
37. Korukonda, A. R. (2007). Differences that Do Matter: A dialectic analysis of individual characteristics and personality dimensions contributing to computer anxiety, Computers in Human Behavior, 23, 1921-42.
38. Korukonda, A.R. (2005). Personality, individual characteristics, and predisposition to computer anxiety: some answers, questions, and points to ponder about. Information Sciences, 170, 309-328.
39. Kozlowski, S., & Bell, B. (2003). Work groups and teams in organizations. In W. Borman & D. Ilgen (Eds.), Handbook of psychology: Industrial and organizational psychology (Vol. 12, pp. 333-375). New York: Wiley
40. 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.
41. Lee, Y., Kozar, K. A., & Larsen, K.R.T (2003). The technology acceptance model: Past, present, and future. Communications of the AIS, 12, 752-780.
42. LePine, J. A., & Van Dyne, L. (2001). Voice and cooperative behavior as contrasting forms of contextual performance: Evidence of differential relationships with Big Five personality characteristics and cognitive ability. Journal of Applied Psychology,86, 326-336.
43. Mathieu, J. E., Maynard, M. T., Rapp, T., & Gilson, L. (2008). Team effectiveness 1997-2007: A review of recent advancements and a glimpse into the future. Journal of Management, 34, 410-476.
44. McCrae, R., & Costa, P. (1997). Personality trait structure as a human universal. American Psychologist, 52, 509-516.
45. Mittleman, D., Briggs, R., Murphy, J., & Davis, A. (2009). Towards a taxonomy of groupware technologies. Proceedings of the 14th Collaboration Researchers International Workshop on Groupware. LNCS 5411, Springer. 305-317.
46. Moore, G. & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2, 192-222.
47. Mount, M. K., Witt, L. A., & Barrick, M. R. (2000). Incremental validity of empirically keyed biodata scales over GMA and the five factor personality constructs. Personnel Psychology, 53: 299-323.
48. Mount M.K, & Barrick M.R. (1995). The Big Five personality dimensions: Implications for research and practice in human resource management. Research in Personnel and Human Resources Management, 13, 153-200
49. Olver, J. & T. Mooradian. (2003). Personality traits and personal values: A conceptual and empirical integration. Personality and Individual Differences 35,109-25.
50. Passer, M., Smith, R., Atkinson, M., Mitchell, J., & Darwin, M. (2008). Psychology: frontiers and applications. Toronto: McGraw-Hill Ryerson, Ltd.
51. Pramatari, K. & Theotokis, A. (2009). Consumer acceptance of RFID-enabled services: a model of multiple attitudes, perceived system characteristics and individual traits. European Journal of Information Systems, 18(6), 541-552.
52. Pratt, R., & Chudoba, K. (2006). Is extraversion the next predictor of system adoption? Effects of personality traits on system acceptance. Paper presented at the Academy of Management Meeting, Atlanta, GA.
53. Ramamurthy, K., King, W. R., & Premkumar, G. (1992). User characteristics DSS effectiveness linkage: An empirical assessment. International Journal of Man-Machine Studies, 36, 469-505.
54. Roberts, B.W. (2009). Back to the Future: Personality and Assessment and Personality Development. Journal of Research in Personality, 43, 137-145.
55. Rogers, E. (1995). Diffusion of Innovations. New York: Free Press.
56. Rosen, P. & Kluemper, D. H., (2008). The impact of the big five personality traits on the acceptance of social networking website, Proceedings of Americas Conference on Information Systems, Canada, August 14th-17th.
57. Sheppard, B., Hartwick, J. & Warshaw, P. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15, 325-343.
58. Shropshire, J., Warkentin, M., Johnston, A.C. & Schmidt, M.B. (2006) Personality and IT security: an application of the five-factor model. Proceedings of the Americas Conference on Information Systems, 3443-3449.
59. Smith, C., Organ, D., & Near, J. (1983). Organizational citizenship behavior: Its nature and antecedents. Journal of Applied Psychology, 68, 655-663.
60. Steinhauser, L., Read, A., & Vreede, G. J. de (2008, May). Studying the Adoption of Collaborative Work Practices Using the Value Frequency Model, Proceedings of the Midwest Association for Information Systems 3rd Annual Conference, Eau Claire, WI.
61. Thompson, R. L. & Higgins, C. A. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15, 124-143.
62. Vallerand, R. & Zanna, M. (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. San Diego, CA: Academic Press.
63. Venkatesh, V. & Davis, F. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46, 186-204.
64. Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.
65. Wang, H. & Yang, H. (2005). The role of personality traits in UTAUT model under online stocking, Contemporary Management Research, 1, 69-82.
66. Wang, W (2010). How Personality Affects Continuance Intention: An Empirical Investigation of Instant Messaging, PACIS 2010 Proceedings.
67. White, K. (1984). MIS project teams: An investigation of cognitive style implications. MIS Quarterly, 8(2), 95-101.
68. Zigurs, L. & Buckland, B. (1998). A theory of task/technology fit and group support systems effectiveness, MIS Quarterly, 22, 313-334.
69. Vreede, T. de, Vreede, G.J. de, Reiter-Palmon, R., Ashley, G. (2011), A Model of Technology Transition: Scale Development and Factor Analysis, Midwest Academy of Management 2011, Omaha, October 20-22, 2011.
70. Goldberg, L. R, Johnson, J. A, Eber, H. W, Hogan, R, Ashton, M. C, Cloninger, C. R, et al. (2005). The International Personality Item Pool and the future of publicdomain personality measures. Journal of Research in Personality, 40, 84-96.
71. Zheng, L., Goldberg, L. R., Zheng, Y., Zhao, Y., Tang, Y., Liu, L. (2008). Reliability and concurrent validation of the IPIP Big-Five factor markers in China: Consistencies in factor structure between Internet-obtained heterosexual and homosexual samples. Personality and Individual Differences, 4, 649-654