The Journal of Information Systems (한국정보시스템학회지:정보시스템연구)

Korea Association of Information Systems (한국정보시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Factors Accepting KMS and the Moderating Role of Resistance in Public Sector

공공기관에서의 지식관리시스템 수용의 영향요인과 저항의 조절효과

  • Published : 2008.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Knowledge is a fundamental assets, therefore, the ability to create, acquire, integrate, and share knowledge has emerged as a fundamental organizational capability(Sambamurthy and Subramani, 2005). This apaper reports the results of an empirical study investigating the factors of acceptance and the moderating role of resistance in Knowledge Management Systems(KMS). The research model is based on the theory of planned behavior(TPB) and technology acceptance model(TAM). It includes the perceived usefulness instead of attitude, subjective norm, perceived behavior control and intention of acceptance of KMS. Also, three external variables namely task-technology fit, organizational support, and perceived rewards are added. In the research model, all hypothrses of the baseline model and the moderating effects of resistance were found to be significant. The authors also of fred several implications based chi the findings.

Keywords

References

  1. 강병영․김은정, "지식경영 성공요인이 지식경영활동과 경영성과에 미치는 영향에 관한 연구-국내 제조기업과 비제조기업을 중심으로," 정보시스템연구, 제16권, 제2호, 2007, pp. 145-169.
  2. 공희경, 지식공유 영향요인이 지식관리시스템 성과에 미치는 영향, 전남대학교 대학원 경영학과 박사학위논문, 2004.
  3. 김경규․김범수․송세정․신호경, "지식공유의도와 지식관리시스템의 사용," 경영정보학연구, 제15권, 제3호, 2005, pp. 65-89.
  4. 김성근․양경훈, 경영정보관리, 문영사, 2005.
  5. 김성훈, 공공기관 지식관리의 전략과 성공요인에 대한 연구, 한국전산원, 1999.
  6. 김정열․김인호, "정보기술에 대한 사용자 저항이 정보기술 활용에 미치는 영향 -경기도의 초․중등 교원을 중심으로-," 기업경영연구, 제13권, 제1호, 2006, pp. 143-163.
  7. 김호열․정경수, "지식경영의 기반구조와 지식 관리시스템의 프로세스가 조직학습과 성과에 미치는 영향," 경영학연구, 제36권, 제2호, pp. 257-296.
  8. 마은경․김명숙, "공공기관 내 구성원간의 지식공유에 관한 연구: 사회교환이론 관점에서," Information Systems Review, Vol. 7, No. 1, 2005, pp. 195-216.
  9. 박동진․김정희․송혁종․이재철․박이섭, "관계품질의 결정요인과 관계기간의 영향," 경영연구(한국산업경영학회), 제22권 제1호, 2007, pp. 303-329.
  10. 서창교․신성호, "지식관리시스템 성과에 영향을 미치는 요인," 경영정보학연구, 제15권 제1호, 2005, pp. 1-24.
  11. 오종석․김경원, "정보기술의 특성이 조직구성원의 저항에 미치는 영향에 관한 연구," 경영․경제연구(부산대학교 경영․경제연구소), 제21권, 제1호, 2002, pp. 123-140.
  12. 유일․나광윤․최혁라, "전자상거래 저항요인에 관한 연구," 한국정보전략학회지, 제2권, 제1호, 1999, pp. 108-130.
  13. 유효식․최훈․김진수, "정보가전의 기술 수용에 관한 실증적 연구 - 양방향 TV를 중심으로 - ," 경영정보학연구, 제12권, 제2호, 2002, pp. 45-69.
  14. 이승한․유성호․김영걸, "지식관리시스템을 활용한 지식공유행위에 영향을 미치는 요인에 관한 연구," 지식경영연구, 제3권, 제1호, 2002, pp. 1-15.
  15. 이정섭․유석인, "효과적인 지식경영을 위한 사용자의 지식경영시스템 이용의도에 관한 연구 - 구조방정식모형 접근 -," 지식연구, 제3권, 제1호, 2005, pp. 167-193.
  16. 이희석․양성병․최수영, 지식관리시스템(KMS)의 발전과 최근 동향, 정보처리학회지, 제4권, 제5호, 2007, pp. 13-20.
  17. 정대율․서정선, "공공기관의 지식관리시스템 수용모형에 관한 실증적 연구," 정보시스템연구, 제13권, 제2호, 2004, pp. 23-48.
  18. 정진우, "전자정부 맥락에서 본 지식관리의 현황과 문제점에 관한 탐색적 연구 -공공부문 지식관리시스템 도입현황과 지식관리 운영실태 분석을 중심으로-,"지식경영 학술심포지움, Vol.12, 2004, pp. 33-49.
  19. 행정자치부, 2004년도 행정정보화촉진시행계획, 2003. 12.
  20. Adams, D. A., R. Ryan Nelson and Peter A. Todd, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology: A Replication," MIS Quarterly, Vol. 16, No. 2, 1992, pp. 227-247. https://doi.org/10.2307/249577
  21. Ajzen, I., and T. J. Madden, "Prediction of Goal-Directed Behavior: Attitude, Intentions and Perceived Behavioral Control." Journal of Experimental Social Psychology, Vol. 22, 1986, pp. 453-474. https://doi.org/10.1016/0022-1031(86)90045-4
  22. Alavi, M and D. E. Leidner, "Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issue," MIS Quarterly, Vol. 25, No. 1, 2001, pp. 107-136. https://doi.org/10.2307/3250961
  23. Baroudi, J. J. and W. J. Orlikowski, "A Short Form Measure of User Information Satisfaction: A Psychometric Evaluation and Notes on Use," Journal of Management Information Systems, Vol. 4, No. 4, Spring 1988, pp. 44-59.
  24. Baron, R. M. & Kenny, D. A., "The Moderator- Mediator Variable Distinction in Social Psychology Research: Conceptual, Strategic, and Statistical Considerations," Journal of Personality and Social Psychology, Vol. 51, No. 6, 1986, pp. 1173-1182. https://doi.org/10.1037/0022-3514.51.6.1173
  25. Bock, G., R. W. Zmud, Y. Kim, and J. Lee, "Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate," MIS Quarterly, March 2005, pp. 87-111.
  26. Bollen, K. A., Structural Equation with Latent Variables, 1989, Wiley, New York.
  27. Byrne, B. M., Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Mahwah, NJ: Lawrence Erlbaum associates, Inc., 2001.
  28. Chang, M. K. and W. Cheong, "Determinants of the Intention to Use Internet/WWW at Work: A Confirmatory Study," Information & Management, Vol. 39, 2001, pp. 1-14. https://doi.org/10.1016/S0378-7206(01)00075-1
  29. Chau, P. Y. K.(1996), "An Empirical Assessment of Modified A Technology Acceptance Model," Journal of Management Information Systems, Vol. 13, No. 2, pp. 86-204. https://doi.org/10.1080/10580539608906994
  30. Davenport, T. H., D. W. De Long, and M. C. Beers, "Successful Knowledge Management Projects," Sloan Management Review, Vol. 39, No. 2, 1996, pp. 43-57.
  31. Davis, F. D., A Technology Acceptance Model for Empirically Testing New End-User information Systems: Theory and Results, Unpublished Doctorial Dissertation, MIT Sloan School of Management, Cambridge, M.A., 1986.
  32. Davis, F. 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
  33. Davis, F. 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
  34. Dickson, G. W. and J. K. Simmons, "The Behavioral Side of MIS Some Aspects of the "People Problem"," Business Horizons, Vol. 13, Issue 4, 1970, pp. 59-71.
  35. Dillon, A. and M. G. Morris, "User Acceptance of Information Technology: Theories and Model," Annual Review of Information Science and Technology(ARIST), Vol. 31, 1996, pp. 3-32.
  36. Dishaw, M. T. and D. M. Strong, "Extending the Technology Acceptance Model with Task-Technology Fit Constructs," Information & Management, Vol. 36, No. 1, 1999, pp. 9-21. https://doi.org/10.1016/S0378-7206(98)00101-3
  37. Fishbein M. and I. Ajzen, Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley Publishing Co., 1975.
  38. Fornell, C. and D. Larker, "Evaluating Structural Equation Models with Unobservable Variable Measurement Error," Journal of Marketing Research, Vol. 18, 1981, pp. 9-21.
  39. Fuerst, W., and P. Cheney, "Factors Affecting the Perceived Utilization of Computer Based Decision Support System in The Oil Industry," Decision Science, Vol. 13, No. 4, 1982, pp. 554-569. https://doi.org/10.1111/j.1540-5915.1982.tb01182.x
  40. Gilroy, F. D. and H. B. Desai, "Computer Anxiety: Sex, Race and Age," International Journal of Man-Machine Studies, Vol. 25, 1986, pp. 711-719. https://doi.org/10.1016/S0020-7373(86)80084-0
  41. Goodhue, D. L., "Development and Measurement Validity of a Task-Technology Fit Instrument For User Evaluation of Information Systems," Decision Science, Winter 1988, pp. 44-59.
  42. Goodhue, D. L., and R. L. Thompson, "Task-Technology Fit and Individual Performance," MIS Quarterly, Vol. 19, No. 2, 1995, pp. 213-236. https://doi.org/10.2307/249689
  43. Grover, V. and T. H. Davenport, "General Perspctive on Knowledge Management: Fostering a Research Agenda," Journal of Management Information Systems, Vol. 18, No. 1, 2001, pp. 5-21. https://doi.org/10.1201/1078/43196.18.3.20010601/31284.1
  44. Hayes, N., "Boundless and Bounded Interactions in the Knowledge Work Process: The Role of Groupware Technologies," Information Organization, Vol. 11, No. 2, 2001, pp. 79-101. https://doi.org/10.1016/S1471-7727(00)00002-6
  45. Hendrickson, A. R. and M. R. Collins, "An Assessment of Structure and Causation of IS Usage," Data Base, Vol. 27, No. 2, Spring 1996, pp. 61-67. https://doi.org/10.1145/243350.243361
  46. Igbaria, M., "End-user Computing Effectiveness: A Structural Equation Model," Omega, Vol. 18, No. 6, 1990, pp. 637-652. https://doi.org/10.1016/0305-0483(90)90055-E
  47. Igbaria, M., Parausraman, S., and Baroudi, J. J., "A Motivational Model of Microcomputer Usage," Journal of Management Information Systems, Vol. 13, No. 1, 1996, pp. 127-143.
  48. Karahanna, E., D. W. Straub and N. L. Chervany, "Information Technology Adoption across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs," MIS Quarterly, Vol. 23, No. 2, June 1999, pp. 183-213. https://doi.org/10.2307/249751
  49. King, A., "Retrieving and Transferring Embodied Data: Implications for the Management of Interdependence within Organization," Management Science, Vol. 45, No. 7, 1999, pp. 918-935.
  50. Lucas, H. C., "Empirical Evidence for A Descriptive Model of Implementation," MIS Quarterly, Vol. 2, No. 2, 1978, pp. 27-41.
  51. Marshall, C., L. Prusak, and D. Shpilberg, "Financial Risk and the Need for Superior Knowledge Management," California Management Review, Vol. 38, No. 3, 1996, pp. 77-101. https://doi.org/10.2307/41165844
  52. Markus, M. L., "Power, Politics, and MIS Implementation," Communications of the ACM, Vol. 26, No. 6, 1983, pp. 430-444. https://doi.org/10.1145/358141.358148
  53. Mathieson, K., "Predicting User Intention: Comparing the Theory of Planned Behavior," Information Systems Research, Vol. 2, No. 3, 1991, pp. 144-176.
  54. Matsuno, K., and J. T. Mentzer, "The Effects of Strategy Type on the Market Orientation-Performance Relationship," Journal of Marketing, Vol. 64, No. 4, 2000, pp. 1-16.
  55. McCoy, T. J., Compensation and Motivation: Maximizing Employee Performance With Behavior-Based Incentive Plans, Amacom Books, 1992.
  56. Nonaka, I., "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, Vol. 5 No. 1, 1994, pp. 14-35. https://doi.org/10.1287/orsc.5.1.14
  57. Quaddus, M. and J. Xu, "Adoption and Diffusion of Knowledge Management Systems: Field Studies of Factors and Variables," Knowledge-Based Systems, Vol. 18, No. 2-3, 2005, pp. 107‐115.
  58. Ryu, S., S. H. Ho, and I. Han, "Knowledge Sharing Behavior of Physicians in Hospitals," Expert Systems with Applications, Vol. 25, 2003, pp. 113-122. https://doi.org/10.1016/S0957-4174(03)00011-3
  59. Sambamurthy, V. and M. Subramani, "Special Issue on Information Technologies and Knowledge Management," MIS Quarterly, March 2005, pp. 1-7.
  60. Stone, E. F., and J. R. Hollenbeck, "Clarifying Some Controversial Issues Surrounding Statistical Procedures for Detecting Moderator Variables: Empirical Evidence and Related Matters," Journal of Applied Psychology, Vol. 74, No. 1, 1989, pp. 3-10. https://doi.org/10.1037/0021-9010.74.1.3
  61. Szajna, B., "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, Vol. 42, No. 1, 1996, pp. 85-92. https://doi.org/10.1287/mnsc.42.1.85
  62. Taylor, S. and P. A. Todd, "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, Vol. 6, No. 2, 1995, pp. 144-176. https://doi.org/10.1287/isre.6.2.144
  63. Thompson, R. L., C. A. Higgins and J. M. Howell, "Personal Computing: Toward a Conceptual Model of Utilization," MIS Quarterly, Vol. 15, No. 1, 1991, pp. 125-143. https://doi.org/10.2307/249443
  64. Venkatesh, V. and F. D. Davis, "A Model of the Antecedents of Perceived Ease of Use: Development and Test," Decision Science, Vol. 27, No. 3, 1996, pp. 85-92.

Cited by

  1. Analyzing Common Method Bias of the Korean Empirical Studies on Technology Acceptance Model vol.21, pp.1, 2012, https://doi.org/10.5859/KAIS.2012.21.1.1
  2. A Study on Chinese User Resistance of Mobile Banking vol.12, pp.1, 2014, https://doi.org/10.14400/JDPM.2014.12.1.105
  3. The Effect of Work Performance to Smart Phone's Characteristics and Moderated Effects of Innovation Resistance vol.20, pp.2, 2011, https://doi.org/10.5859/KAIS.2011.20.2.57