User acceptance of context-aware services: Self-efficacy, user innovativeness and perceived sensitivity on contextual pressure

Behaviour and Information Technology

Volumn 26, Issue 6, 2007, Pages 483-498

  Kwon, O ^a   Choi, K ^a   Kim, M ^a  

^a Kyung Hee University   (South Korea)

Author keywords

Context aware services; Contextual pressure; Perceived sensitivity on contextual pressure; Technology acceptance model (TAM); Ubiquitous e commerce

Indexed keywords

ELECTRONIC COMMERCE; GLOBAL POSITIONING SYSTEM; MOBILE DEVICES; SENSITIVITY ANALYSIS; UBIQUITOUS COMPUTING; USER INTERFACES;

CONTEXT AWARE SERVICES; CONTEXTUAL PRESSURE; PERCEIVED SENSITIVITY ON CONTEXTUAL PRESSURE; TECHNOLOGY ACCEPTANCE MODEL (TAM); UBIQUITOUS E-COMMERCE;

WEB SERVICES;

EID: 35649012098     PISSN: 0144929X     EISSN: 13623001     Source Type: Journal    
DOI: 10.1080/01449290600709111     Document Type: Article

References (84)

1. ABOWD, G.D., 1999, Software engineering issues for ubiquitous computing. In Proceedings of the 21st International Conference on Software Engineering, Los Angeles, CA, April 1999, pp. 75-84.
2. ABOWD, G.D., 2000, Charting past, present, and future research in ubiquitous computing. ACM Transactions on Computer - Human Interaction, 7, pp. 29-58.
3. ABOWD, G.D., ATKESON, C.G., HONG, J., LONG, S., KUPER, R. and PINKERTON, M., 1997, Cyberguide: a mobile context-aware tour guide. Wireless Networks, 3, pp. 421-433.
4. ACTON, T., GOLDEN, W., GUDEA, S. and SCOTT, M., 2004, Usability and acceptance in small-screen information systems. In Proceedings of Collaborative Electronic Commerce Technologies and Research, CollECTeR, June 2004, http://www.pmn.co.uk/smallscreenusability. pdf (accessed 10 December 2004).
5. ADAMS, D., NELSON, R. and TODD, P., 1992, Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly, 16, pp. 227-247.
6. AGARWAL, R. and KARAHANNA, E., 2000, Time flies when you're having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24, pp. 665-694.
7. AGARWAL, P. and PRASAD, J., 1997, The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences, 28, pp. 557-582.
8. AGARWAL, R. and PRASAD, J., 1998, A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9, pp. 204-215.
9. AGARWAL, R. and PRASAD, J., 1999, Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30, pp. 361-391.
10. AGARWAL, R., SAMBAMURTHY, V. and STAIR, R., 2000, The evolving relationship between general and specific computer self-efficacy. Information Systems Research, 11, pp. 418-430.
11. ANDERSON, J. and GERBING, D., 1988, Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103, 411-423.
12. BAJAJ, A. and NIDUMOLU, S., 1998, A feedback model to understand information system usage. Information & Management, 33, pp. 213-224.
13. BANDURA, A., 1986, Social Foundations of Thought and Action: A Social Cognitive Theory (Englewood Cliffs, NJ: Prentice-Hall).
14. BEARDON, W., SHARMA, S. and TEEL, J., 1982, Sample size effects on chi-square and other statistics used in evaluating causal models. Journal of Marketing Research, 19, pp. 419-456.
15. BENTLER, P. and CHOU, C., 1987, Practical issues in structural modeling. Sociological Methods and Research, 16, pp. 78-117.
16. BEVAN, N., 2001, International standards for HCI and usability. International Journal of Human-Computer Studies, 55, pp. 533-552.
17. BITNER, M.J. and BOOMS, B.H., 1990, The service encounter: diagnosing favorable and unfavourable incidents. Journal of Marketing, 54, pp. 71-84.
18. BOLGER, N. and SCHILLING, E., 1991, Personality and the problems of everyday life: the role of neuroticism in exposure and reactivity to daily stressors. Journal of Personality, 59, pp. 355-386.
19. BRAND, C., 2005, Quotes XIV-Neuroticism, Neurosis and Moods, Personality, Biology, and Society. Available online at: www.cycad.com/cgi-bin/ Brand/quotes/index.html (accessed 1 December 2005).
20. BYLUND, M. and ESPINOZA, F., 2001, Using Quake III Arena to simulate sensors and actuators when evaluating and testing mobile services. In CHI '01 on Human Factors in Computing Systems, Seattle, WA, 31 March - 5 April, pp. 241-242.
21. CHAU, P., 1996, An empirical investigation on factors affecting the acceptance of case by systems developers. Information & Management, 30, pp. 269-280.
22. CHEVERST, K., MITCHELL K. and DAVIES, N., 2002, The role of adaptive hypermedia in a context-aware tourist GUIDE. Communications of the ACM, 45, pp. 47-51.
23. COMPEAU, D. and HIGGINS, C., 1995, Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19, pp. 189-211.
24. COSTA, P.T., Jr. and MCCRAE, R.B., 1992, Revised NEO Personality Inventory Manual (Odessa, FL: Psychological Assessment Resources).
25. COX, T. and FERGUSON, E., 1991, Individual differences, stress and coping. In Personality and Stress: Individual Differences in the Stress Process, CL. Cooper and R. Payne (Eds), pp. 7-30 (Chichester: John Wiley).
26. COX, T. and GRIFFITHS, A., 1995, The nature and measurement of work stress: theory and practice. In The Evaluation of Human Work: A Practical Ergonomics Methodology, J. Wilson and N. Corlett (Eds), pp. 783-803 (London: Taylor & Francis).
27. DAVIS, F., 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, pp. 319-340.
28. DAVIS, F., 1993, User acceptance of information technology: system characteristics, user perceptions and behavior impacts. International Journal of Man-Machine Studies, 38, pp. 475-487.
29. DAVIS, F., BAGOZZI, R. and WARSHAW, P., 1989, User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, pp. 982-1003.
30. DILLON, A. and MORRIS, M., 1998, Power, perception and performance: from usability engineering to technology acceptance with the P3 model of user response. In Proceedings of 43rd Annual Conference of the Human Factors and Ergonomics Society, 27 September-1 October, Houston, Texas (Santa Monica, CA: HFES), pp. 303-319.
31. DISHAW, M. and STRONG, D., 1999, Extending the technology acceptance model with task-technology fit constructs. Information. & Management, 36, pp. 9-22.
32. ERICKSON, T., 2002, Some problems with the notion of context-aware computing. Communications of the ACM, 45, pp. 102-104.
33. EYSENCK, H. and EYSENCK, S., 1975, Manual of the Eysenck Personality Questionnaire (London: Hodder and Stoughton).
34. FENECH, T., 1998, Using perceived ease of use and perceived usefulness to predict acceptance of the world wide web. Computer Networks and ISDN Systems, 30, pp. 629-630.
35. FORNELL, C. and LARCKER, D., 1981, Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, pp. 39-50.
36. GIST, M., 1987, Self-efficacy: implications for organizational behavior and human resource management. Academy of Management Review, 12, pp. 472-485.
37. GOLLWITZER, M., 1999, Implementation intentions: strong effects of simple plans, American Psychologist, 54, pp. 493-503.
38. HAIR, J.J., ANDERSON, R., TATHAM, R. and BLACK, W., 1998, Multivariate Data Analysis (5th edition) (Englewood Cliffs, NJ: Prentice-Hall).
39. HARTWICK, J. and BARKI, H., 1994, Explaining the role of user participation in information system use. Management Science, 40, pp. 440-465.
40. HENRY, J.W. and STONE, R.W., 1994, A structural equation model of end-user satisfaction with a computer-based medical information system. Information Resources Management Journal, 7(3), pp. 21-33.
41. HOELTER, J., 1983, The analysis of covariance structures: goodness-of-fit indices. Sociological Methods and Research, 11, pp. 325-344.
42. HONG, W., THONG, J., WONG, W. and TAM, K., 2001-2002, Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics. Journal of Management Information Systems, 18, pp. 97-124.
43. HSU, C.-L. and LU, H.-P., 2004, Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41, pp. 853-868.
44. HU, P.J.-H., CLARK, T.H.K. and MA, W.W., 2003, Examining technology acceptance by school teachers: a longitudinal study. Information & Management, 41, pp. 227-241.
45. HUBONA, G.S. and KENNICK, E., 1996, The impact of external variables on information technology usage behavior. In Proceedings of the Twenty-ninth Annual Hawaii International Conference on System Sciences (HICSS-2g), 3-6 January, Maui, Hawaii, IEEE Computer Society, pp. 166-175.
46. IGBARIA, M. and IIVARY, J., 1995, The effects of self-efficacy on computer usage. Omega: International Journal of Management Science, 23, pp. 587-605.
47. JACKSON, C., CHOW, S. and LEITCH, R., 1997, Toward an understanding of the behavioral intention to use an information system. Decision Sciences, 28, pp. 357-389.
48. JÖRESKOG, K. and SÔRBON, D., 1993, Structural Equation Modeling with the SIMPLIS Command Language (Chicago: Scientific Software International Inc).
49. KASPER-FUEHRER, E. and ASHKANASY, N.M., 2001, Communicating trustworthiness and building trust in interorganizational virtual organizations. Journal of Management, 27, pp. 235-254.
50. KHUNGAR, S. and RIEKKI, J., 2004, Posters: a context based storage for ubiquitous computing applications. In Proceedings of the 2nd European Union Symposium on Ambient Intelligence, Eindhoven University of Technology, The Netherlands, 8-10 November, pp. 55-58.
51. KINTSCH, W., 1988, The role of knowledge in discourse comprehension: a construction-integration model. Psychological Review, 95, pp. 163-182.
52. KWON, O., 2004, Modeling and generating context-aware agent-based applications with amended colored petri nets. Expert Systems with Applications, 27, pp. 609-621.
53. LAZARUS, R.S., 1966, Psychological Stress and the Coping Process (New York: McGraw-Hill).
54. LAZARUS, R.S. and FOLKMAN, S., 1984, Stress, Appraisal, and Coping (New York: Springer).
55. MAGNUS, K., DIENER, E., FUJITA, F. and PAVOT, W., 1993, Extraversion and neuroticism as predictors of objective life events: a longitudinal analysis. Personality and Social Psychology, 65, pp. 1046-1053.
56. MARAKAS, G., YI, M. and JOHNSON, R., 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, pp. 126-153.
57. MOORE, G. and BENBASAT, I., 1991, Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2, pp. 192-222.
58. MORRIS, M. and DILLON, A., 1997, How user perceptions influence software use. IEEE Software, 14, pp. 58-65.
59. NIELSEN, J., 1993, Usability Engineering (Boston: Academic Press).
60. ONG, C.-S., LAI, J.-Y. and WANG, Y.-S., 2004, Factors affecting engineers acceptance of asynchronous e-learning systems in high-tech companies. Information & Management, 41, pp. 795-804.
61. PAVOT, W., FUGITA, F. and DIENER, E., 1996, The relation between self-aspect congruence, personality, and subjective well-being. Personality and Individual Differences, 22, pp. 183-191.
62. RYSER, J. and GLINZ, M., 1999, A. scenario-based approach to validating and testing software systems using Statecharts. In Proceedings of the 12th International Conference on Software and Systems Engineering and their Applications (ICSSEA'99). (Paris: CNAM), pp. 1-7.
63. SCHULER, R. and JACKSON, S., 1986, Managing stress through PHRM practices: an uncertainty interpretation. Research in Personnel and Human Resources Management, 4, pp. 183-224.
64. SEYAL, A.H. and PIJPERS, G.G.M., 2004, Senior government executives' use of the internet: a bruneian scenario. Behavior & Information Technology, 23, pp. 197-210.
65. STEIGER, J., 1990, Structural model evaluation and modification: an interval estimation approach. Multivariate Behavioral Research, 25, pp. 173-180.
66. SUBRAMANIAN, G., 1994, A replication of perceived usefulness and perceived ease of use measurement. Decision Sciences, 25, pp. 863-874.
67. TAMMINEN, S., OULASVIRTA, A., TOISKALLIO, K. and KANKAINEN, A., 2004, Understanding mobile contexts. Personal and Ubiquitous Computing, 8, pp. 135-143.
68. TAYLOR, R., 1992, Case studies in stress. In Prevention of Mental Ill Health at Work, R. Jenkins and N. Coney (Eds), pp. 91-102 (London: HMSO).
69. TAYLOR, S. and TODD, P., 1995, Assessing it usage: the role of prior experience. MIS Quarterly, 19, pp. 561-570.
70. TRACTINSKY, N., 2004, A few notes on the study of beauty in HCI. Human-Computer Interaction, 19, pp. 351-357.
71. VAN DE HEIJDEN, H., 2001, Factors influencing the usage of websites: the case of a generic portal in the Netherlands. Information & Management, 40, pp. 541-549.
72. VENKATESH, V., 1999, Creation of favorable uses perceptions: exploring the role of intrinsic motivation. MIS Quarterly, 23, pp. 239-260.
73. VENKATESH, V., 2000, Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11, pp. 342-365.
74. VENKATESH, V. and DAVIS, F., 2000, A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46, pp. 186-204.
75. VENKATESH, V., MORRIS, M., DAVIS, G. and DAVIS, F., 2003, User acceptance of information technology: toward a unified view. MIS Quarterly, 27, pp. 425-478.
76. VIJAYASARATHY, L.R., 2004, Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Information & Management, 41, pp. 747-762.
77. WANT, R., HOPPER, A., FALCAO, V. and GIBBONS, J., 1992, The active badge location system. ACM Transactions on Information Systems, 10, pp. 91-102.
78. WATSON, D. and CLARK, L., 1984, Negative affectivity: the disposition to experience aversive emotional states. Psychological Bulletin, 96, pp. 465-490.
79. WATSON, D. and CLARK, L., 1992, On traits and temperament: general and specific factors of emotional experience and their relation to the five-factor model. Journal of Personality, 60, pp. 441-476.
80. WEISER, W., 1991, The computer for the 21st century. Scientific American, 265, pp. 94-104.
81. WILLIAMS, S., 1994, Managing Pressure for Peak Performance (London: Kogan Page).
82. WU, I.L. and WU, K.W., 2005, A hybrid technology acceptance approach for exploring E-CRM adoption in organizations. Behavior & Information Technology, 24, pp. 303-316.
83. ZHANG, P., CAREY, J., TE'ENI, D. and TREMAINE, M., 2005, Incorporating HCI development into SDLC: a methodology. Communications of the AIS, 15, pp. 512-543.
84. ZMUD, R., 1979, Individual differences and MIS success: a review of the empirical literature. Management Science, 25, pp. 966-979.