Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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A Study on Influence of Usage Learning Effect for Computer System Acceptance

실사용에 의한 학습효과가 컴퓨터 시스템의 수용에 미치는 영향에 관한 연구

  • Kim, Chong-Su (Dept. of Industrial and Management Engineering, Hannam University)
  • 김종수 (한남대학교 산업경영공학과)
  • Received : 2010.07.26
  • Accepted : 2010.09.10
  • Published : 2010.09.30
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Abstract

The benefits of information technology cannot be obtained unless potential users utilize it for their work. This led to a lot of research works on computer system acceptance. But most of the works address the early stage of system introduction, leaving the learning effect on system acceptance unexplored. In this longitudinal study, two groups of novice and experienced users have been empirically investigated and compared for their acceptance of computer system and for the learning effect of actual usage. A research model based on the technology acceptance theory has been proposed and applied to the two groups. The result shows that the factor job relevance gets more important and the effect of user training on system acceptance diminishes as time passes. This finding may help introducing computer systems which can be easily accepted by users over the whole life cycle period of computer systems.

Keywords

References

  1. Davis, F. D.; "Perceived Usefulness, perceived ease of use, and user acceptance of information technology," MIS Quarterly, 13(3) : 319-339, 1989. https://doi.org/10.2307/249008
  2. Lederer, A. L., Maupin, D. J., Sena, M. P., and Zhuang, Y.; "The technology acceptance model and the World Wide Web," Decision Support Systems, 29 : 269-282, 2000. https://doi.org/10.1016/S0167-9236(00)00076-2
  3. Lin, J. C. C. and Lu, H.; "Towards an understanding of the behavioral intention to use a web site," International Journal of Information Management, 20(3) : 197-208, 2000. https://doi.org/10.1016/S0268-4012(00)00005-0
  4. Gefen, D. and Straub, D. W.; "The relative importance of perceived ease-of-use in IS adoption : A study of e-commerce adoption," Journal of the Association for Information Systems, 1(8) : 1-21, 2000.
  5. Moon, J. and Kim, Y.; "Extending the TAM for a World-Wide-Web context," Information and Management, 38 : 217-230, 2001. https://doi.org/10.1016/S0378-7206(00)00061-6
  6. Jarvenpaa, S. L., Tractinsky, N., and Saarinen, L.: "Consumer Trust in an Internet Store : A Cross Cultural Validation," Journal of Computer-mediated Communication, 5(2) : 1999.
  7. Mayer, R. C., Davis, J. H., and Shoorman, F. D.; "In Integrated Model of Trust," The Academy of Management Review, 20(3) : 709-734, 1995.
  8. McKinght, D. H., Cummings, L. L., and Chervany, N. L.; "Initial Trust Formation in New Organizational Relationships," Academy of Management Review, 23(3) : 473-490, 1998.
  9. Amoako-Gyampah, K. and Salam, A. F.; "An Extension of the Technology Acceptance Model in an ERP implementation environment," Information and Management, 41 : 731-745, 2004. https://doi.org/10.1016/j.im.2003.08.010
  10. Avlonitis, G. J. and Panagopoulos, N. G.; "Antecedents and Consequences of CRM Technology Acceptance in the Sales Force," Industrial Marketing Management, 34 : 355-368, 2005. https://doi.org/10.1016/j.indmarman.2004.09.021
  11. Malhotra, Y. and Galleta, D. F.; "Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation," Proceedings of the 32nd Hawaii International Conference on System Sciences, 1-14, 1999.
  12. Klopping, I. M. and McKinney, E.; "Extending the Technology Acceptance Model and the Task-Technology Fit Model to Consumer E-Commerce," Information Technology, Learning and Performance Journal, 22(1) : 35-48, 2004.
  13. Davis, F. D., Bagozzi, R. P., and Warshow, P. R.; "User Acceptance of Computer Technology : A Comparison of Two Theoretical Models," Management Science, 35 : 982-1003, 1989. https://doi.org/10.1287/mnsc.35.8.982
  14. Warshaw, P. R.; "A New Model for Predicting Behavioral Intentions : An Alternative to Fishbein," Journal of Marketing Research, 17 : 153-172, 1980. https://doi.org/10.2307/3150927
  15. Venkatesh, V. and Davis, F. D.; "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Studies," Management Science, 46(2), 186-204, 2000. https://doi.org/10.1287/mnsc.46.2.186.11926
  16. Schillewaert, N., Ahearne, M. J., Frambach, R. T., and Moenaert, R. K.; "The Adoption of Information Technology in the Sales Force," Industrial Marketing Management, 34 : 323-336, 2005. https://doi.org/10.1016/j.indmarman.2004.09.013
  17. Atkin, D. and LaRose, R.; "An Analysis of the Information Services Adoption Literature," Advances in Telematics, New York: Ablex, 91-110, 1994.
  18. Hooper, D., Caughlan, ,and Mullen, M. R.; "Structural Equation Modeling : Guidelines for Determining Model Fit," The Electronic Journal of Business Research, 6(1) : 53-60, 2008.
  19. Barrett, P.; "Structural Equation Modeling: Adjusting Model Fit," Personality and Individual Differences, 42(5) : 815-824, 2007. https://doi.org/10.1016/j.paid.2006.09.018