Roles of Perceived Use Control consisting of Perceived Ease of Use and Perceived Controllability in IT acceptance

정보기술 수용에서 사용용이성과 통제가능성을 하위 차원으로 하는 지각된 사용통제의 역할

  • Published : 2008.06.30

Abstract

According to technology acceptance model(TAN) which is one of the most important research models for explaining IT users' behavior, on intention of using IT is determined by usefulness and ease of use of it. However, TAM wouldn't explain the performance of using IT while it has been considered as a very good model for prediction of the intention. Many people would not be confirmed in the performance of using IT until they can control it at their will, although they think it useful and easy to use. In other words, in addition to usefulness and ease of use as in TAM, controllability is also should be a factor to determine acceptance of IT. Especially, there is a very close relationship between controllability and ease of use, both of which explain the other sides of control over the performance of using IT, so called perceived behavioral control(PBC) in social psychology. The objective of this study is to identify the relationship between ease of use and controllability, and analyse the effects of both two beliefs over performance and intention in using IT. For this purpose, we review the issues related with PBC in information systems studies as well as social psychology, Based on a review of PBC, we suggest a research model which includes the relationship between control and performance in using IT, and prove its validity empirically. Since it was introduced as qa variable for explaining volitional control for actions in theory of planned behavior(TPB), there have been confusion about concept of PBC in spite of its important role in predicting so many kinds of actions. Some studies define PBC as self-efficacy that means actor's perception of difficulty or ease of actions, while others as controllability. However, this confusion dose not imply conceptual contradiction but a double-faced feature of PBC since the performance of actions is related with both self-efficacy and controllability. In other words, these two concepts are discriminated and correlated with each other. Therefore, PBC should be considered as a composite concept consisting of self-efficacy and controllability, Use of IT has been also one of important areas for predictions by PBC. Most of them have been studied by analysis of comparison in prediction power between TAM and TPB or modification of TAM by inclusion of PBC as another belief as like usefulness and ease of use. Interestingly, unlike the other applications in social psychology, it is hard to find such confusion in the concept of PBC in the studies for use of IT. In most of studies, controllability is adapted as PBC since the concept of self-efficacy is included in ease of use explicitly. Based on these discussions, we can suggest perceived use control(PUC) which is defined as perception of control over the performance of using IT and composed of controllability and ease of use as sub-concepts. We suggest a research model explaining acceptance of IT which includes the relationships of PUC with attitude and performance of using IT. For empirical test of our research model, two user groups are selected for surveying questionnaires. In the first group, there are freshmen who take a basic course for Microsoft Excel, and the second group consists of senior students who take a course for analysis of management information by Excel. Most of measurements are adapted ones that have been validated in the other studies, while performance is real score of mid-term in each class. In result, four hypotheses related with PUC are supported statistically with very low significance level. Main contribution of this study is suggestion of PUC through theoretical review of PBC. Specifically, a hierarchical model of PUC are derived from very rigorous studies in the relationship between self-efficacy and controllability with a view of PBC in social psychology. The relationship between PUC and performance is another main contribution.

Keywords

References

  1. 이웅규, '인터넷 뱅킹에서 오프라인 신뢰와 온라인 거래의 관계,' 경영정보학연구, 제 17권 제2호, 2007, pp. 29-47
  2. Ajzen, Icek, 'The Theory of Planned Behavior,' Organizational Behavior and Human Decision Processes, Vol. 50, 1991, pp. 179-211 https://doi.org/10.1016/0749-5978(91)90020-T
  3. Ajzen, Icek, 'Nature and Operations of Attitude,' Annual Review of Psychology, Vol. 52, 2001, pp. 27-58 https://doi.org/10.1146/annurev.psych.52.1.27
  4. Ajzen, Icek, 'Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior,' Journal of Applied Social Psychology, Vol. 32, No. 4, 2002, pp. 665-683 https://doi.org/10.1111/j.1559-1816.2002.tb00236.x
  5. Armitage, Christopher and Mark Conner, 'Efficacy of the Theory of Planned Behaviour: A Meta-Analytic Review,' c Journal of Social Psychology, Vol. 40, 2001, pp. 471-499 https://doi.org/10.1348/014466601164939
  6. Bandura, A., 'Human Promotion from the Perspective of Social Cognitive Theory,' Psychology and Health, Vol. 13, 1998, pp. 623-649 https://doi.org/10.1080/08870449808407422
  7. Chau, Patrick Y.K. and Paul J. Hu, 'Examining a Model of Information Techonology Acceptance by Individual Professionals: an Exploratory Study,' Journal of Management Information Systems, Vol. 18, No. 4, 2002, pp. 191-229 https://doi.org/10.1080/07421222.2002.11045699
  8. Chin, W.W., Overview of the PLS Method, http://disc-nt.cba.edu/chin/PLSINTRO.H TM, 1997
  9. Chin, W.W., 'Issues and Opinion on Structural Equation Modeling,' MIS Quarterly, Vol. 22, No. 1, 1998, pp. 7-16
  10. Davis, Fred D., 'Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,' MIS Quarterly, Vol. 13, No. 3, 1989, pp. 319-340 https://doi.org/10.2307/249008
  11. Davis, Fred D., R.P. Bagozzi, and P.R. Warshaw, 'User Acceptance of Computer Technology: a Comparison of Two Theoretical Models,' Management Science, Vol. 35, No. 8, 1989, pp. 982-1003 https://doi.org/10.1287/mnsc.35.8.982
  12. Falk, R. Frank and Nancy B. Miller, A Primer for Soft Modeling, University of Akron Press; 1st ed edition, July 1992
  13. Fishbein, Martin and Icek Ajzen, Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. California: Ad dison-Wesley, 1975
  14. Gefen, David and Detmar Straub, 'A Practical Guide to Factorial Validity Using PLS-Graph: Tutorial and Annotated Example,' Communication of the Association for Information Systems, Vol. 16, 2005, pp. 91-109
  15. King, William R. and Jun He, 'A Meta- Analysis of the Technology Acceptance Model,' Information and Management, Vol 43, 2006, pp. 740-755 https://doi.org/10.1016/j.im.2006.05.003
  16. Legris, P., J. Ingham, and P. Collerette, 'Why do people use information technology? a Critical Review of the Technology Acceptance Model,' Information and Management, Vol. 40, No. 3, 2003, pp. 191-204 https://doi.org/10.1016/S0378-7206(01)00143-4
  17. Mathieson, Kieran, 'Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior,' Information Systems Research, Vol. 2, No. 3, 1991, pp. 173-191 https://doi.org/10.1287/isre.2.3.173
  18. Riemenschneider, Cynthia K., David A. Harrison, and Peter P. Mykytyn Jr., 'Understanding IT Adoption Decisions in Small Business: Integrating Current Theories,' Information and Management, Vol. 40, 2003, pp. 269-285 https://doi.org/10.1016/S0378-7206(02)00010-1
  19. Taylor, Shirley and Peter A. Todd, 'Understanding Information Technology Usages: a Test of Comparing Models,' Information Systems Research, Vol. 6, No. 2, 1995a, pp. 144-176 https://doi.org/10.1287/isre.6.2.144
  20. Taylor, Shirley and Peter A. Todd, 'Assessing IT Usage: the Role of Prior Experience,' MIS Quarterly, Vol. 19, No. 4, 1995b
  21. Trafimow, David, Paschal Sheeran, Mark Conner, and Krystina A. Finlay, 'Evidence that Perceived Behavioural Control is a Multidimensional Construct: Perceived Control and Perceived Difficulty,' British Journal of Social Psychology, Vol. 41, 2002, pp. 101-121 https://doi.org/10.1348/014466602165081
  22. Venkatesh, Viswanath and Fred D. Davis, 'A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,' Management Science, Vol. 46, No. 2, 2000, pp. 186-204 https://doi.org/10.1287/mnsc.46.2.186.11926
  23. Venkatesh, Viswanath, Michael G. Morris, Gordon B. Davis, and Fred D. Davis, 'User Acceptance of Information Technology: toward a Unified View,' MIS Quarterly, Vol. 27, No. 3, 2003, pp, 425-478 https://doi.org/10.2307/30036540
  24. Wold, H., 'Soft Modeling: the Basic Design and Some Extensions,' in System Under Indirect Observations: Part 2, K. G. Joreskog and H. Wold (edition), Amsterdam, North- Holland, 1982, pp. 1-54
  25. Wold, H., 'Introduction to the Second Generation of Multivariate Analysis,' in H. Wold (Ed.), Theoretical Empiricism, New York: Paragon House, 1989, pp. 7-11
  26. Yi, Mun Y., Joyce D. Jackson, Jae S. Park, and Janice C. Probst, 'Understanding Information Technology Acceptance by Individual Professionals: toward an Integrative View,' Information and Management, Vol. 43, 2006, pp. 350-363 https://doi.org/10.1016/j.im.2005.08.006