An Empirical Study on the Impact of the Perception of the Monitoring Function on Effective BPMS Adoption

모니터링 기능에 대한 인식이 효과적인 BPMS 도입에 미치는 영향

  • 채명신 (서울벤처정보대학원대학교) ;
  • 박진석 (대우일렉트로닉스 디스플레이연구소 기획팀) ;
  • 이병태 (KAIST 테크노경영대학원)
  • Published : 2007.09.30

Abstract

Recently, there is a substantial interest in implementing Business Process Management System(BPMS) among enterprises with the purpose of business process innovation. BPMS redesigns and coordinates business processes in terms of both automated steps and human involvement in order to maximize the value of both involved people and systems. The reason why BPMS is getting attention from top managers is that it has the possibility to optimize the business processes by cycling the process of modeling, execution, monitoring, evaluation, and redesigning work processes. Thus, it has created high expectations about not only productivity improvement but also business process innovation. However. having an innovative nature, which is used for process innovation, BPMS implementation has great potential to stir up employee resistance. The analysis and the discussion about the prevention of the resistance against IS(Information Systems) is important because IS change the way people work and also alter the power structure within the organization, in general. The purpose of this study is to investigate factors that have an impact on the effective adoption of BPMS at the enterprise level. To find out these factors, this study considers two characteristics of BPMS: First. BPMS shares some characteristics with other enterprise-wide IS such as ERP. Second, it has special BPMS-specific characteristics. Due to the lack of previous research on BPMS adoption, interviews were carried out with IT-consultants and CIOs who conducted BPMS projects previously to find out BPMS-specific features that would make BPMS unique when compared to other enterprise-wide IS. As a result, the monitoring function was chosen as the main BPMS-specific factor. Thus, this paper reviewed studies both on enterprise-wide IS adoptions, which applied Technology Acceptance Model (TAM) and secondly on computer based monitoring to find out factors that would influence the employees' perception on the monitoring function of BPMS. Based on the literature review, the study suggested three factors that would have an impact on the employee's perception of the monitoring function: fairness of enterprise evaluation system, fairness of the boss, and self-efficacy of their work. Three factors that would impact the enterprise-wide IS adoption were also set: the shared belief in the benefit of BPMS, training, and communication. Then, these factors were integrated with TAM. Structural equation modeling was used to test hypotheses, out factors that would impact the employees' perception on the monitoring function of BPMS. Based on the literature review the study suggested three factors that would have an impact on the employee's perception of the monitoring function: fairness of enterprise evaluation system, fairness of the boss, and self-efficacy of their work. Three factors that would impact the enterprise-wide IS adoption were also set: the shared belief in the benefit of BPMS, training, and communication. Then, these factors were integrated with TAM. Structural equation modeling was used to test hypotheses. The data analysis results showed that two among three monitoring function related factors - enterprise evaluation system and fairness of the boss - were significant. This implies that employees would worry less about the BPMS implementation as long as they perceive the monitoring results will be used fairly for their performance evaluation. However, employees' high self-efficacy on their job was not a significant factor in their perception of the usefulness of BPMS. This is related to cases that showed employees resisted against the information systems because they automated their works (Markus, 1983). One specific case was an electronic company, where the accounting department workers were requested to redefine their job because their working processes were automated due to BPMS implementation.

Keywords

References

  1. 김주엽, 강주엽 " BPM 구축과 프로세스 혁 신활동의 연계성 확보," Entrue Journal of IT, 제 4권, 제1호, 2005, pp. 69-78
  2. 김태철 "업무 프로세스 기반한 지식경영시 스템 모형에 관한 연구"고려대학교 석사학 위논문, 2005
  3. 이승현, 송호성, 원형준,주재영,배혜림,"BPM 기반의 업무 매뉴얼 시스템을 활용한 프로 세스의 효율성 제고," 추계한국경영과학회 논문집, 2004
  4. 이원준, 이정섭, 김태웅, 백태영, "무선 인터 넷 서비스의 사용자 수용," 경영정보학연구, 제14권, 제2호,2004, pp. 61-86
  5. 전자신문, "BPM 시장이 확대되고 있다," IT/과학면, 2004
  6. 전자신문, "새로운 IT의 핵심어-BPM," IT/과학면, 2005
  7. 최훈, 최민석, 검진우, "양방향TV 실사용자 의 수용행위에 관한 실증적 연구: 기술 수용 모형을 중심으로," 한국경영정보학회 춘계학술대회논문집," 2002, pp. 41-49
  8. SDS, "BPM의 이해," IT Review, 제5권, 제6 호, June 2004
  9. 채명신, 김상태, 이효섭, " BPM과 BSC 의 효 과적인 연계를 통한 프로세스 혁신," 한국경영과학회 추계학술대회논문집, 2005, pp. 229-230
  10. 채명신, 박송미, 전켄트, "끊임없는 업무프 로세스 개선의 도구로서 BPM: L전자의 사 례를 중심으로," 벤처창업연구, 제1권, 제1 호, 2006, pp. 157-179
  11. Adams, J.S., "Inequity in social exchange," In L. Berkowitz (Ed.), Advances in experimental social psychology, San Diego, CA: Academic Press, Vol. 2, 1965. pp. 267-299
  12. Ajzen, I. and Fishbein, M., Understanding Attitudes and Predicting Social Behavior, Prentice- Hall, Englewood Cliffs, NJ, 1980
  13. Ajzen, I. and Madden, T.J., "Prediction of goal-directed behavior: attitudes, 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
  14. Ambrose, M.L. and Alder, G.S., "Designing, Implementing, and Utilizing Computerized Performance Monitoring: Enhancing Organizational Justice," Research in Personnel and Human Resources Management, Vol. 18, 2000, pp. 187-219
  15. Amoako-Gyamp모, K. and Salam, A.F., "An extension of technology acceptance model in an ERP implementation environment," Information & Management, Vol. 41, 2004, pp. 731-745 https://doi.org/10.1016/j.im.2003.08.010
  16. Andonoff, E., Bouzguenda, L., and Hanachi, C., "Specifying Web Workflow Services for finding partners in the context of Loose Inter-Organizational Workflow," in Wil M.P. van der Aalst, Boualem Benatallah, Fabio Casati, & Francisco Curbera (Eds.): Proceedings of Business Process Management, 3rd International Conference, BPM 2005, Nancy, France, September 2005,. Lecture Notes in Computer Science 3649, Springer pp. 120-136
  17. Angel, N.F., "Evaluating Employees by computer," Personnel Administrator, Vol. 34, No. 11, 1989, pp. 67-72
  18. rmistead C., Pritchard J-P., and Machin S., "Stategic Business Process Management for Organisational Effectiveness," Long Range Planning, Vol, 32, No,1, 1999, pp.96-106 https://doi.org/10.1016/S0024-6301(98)00130-7
  19. Avlonitis, G. and Panagopoulos, N.G., "Antecedents and consequences of CRM technology acceptance in the sale force," Industrial Marketing Management, Vol. 34, 2005, pp. 355-368 https://doi.org/10.1016/j.indmarman.2004.09.021
  20. Barclay, D., Thompson, R., and Higgins, C., "The Partial Least Squares (PLS) Approach to Causal Modeling, Personal Computer Adoption and Use as an illustration," Technology Studies, Vol. 2, No.2, 1995, pp. 285-324
  21. Carr, N.G., "IT Doesn't matter," Harvard Business Review, May 2003, pp. 41-50
  22. Chalykoff, J. and Kochan, T.A., "ComputerAided Monitoring: Its Influence on Employee Job Satisfaction and Turnover," Personnel Psychology, Vol. 42 No.3, 1989, pp. 807-834 https://doi.org/10.1111/j.1744-6570.1989.tb00676.x
  23. Chin, W.W., "Issues and opinions on structural equation modeling," MIS Quarterly, Vol. 22, No.1, 1998, pp. 7-16
  24. Compeau, D.R. and Higgins, C.A., "Computer Self-Efficacy: Development of a Measure and Initial Test," MIS Quarterly, Vol. 19, No.2, 1995, pp. 189-211 https://doi.org/10.2307/249688
  25. Creswell, J.W., Research Design: Qualitative and Quantitative Approaches, Thousand Oaks: Sage Publication, 1994
  26. Cropanzano, R. and Folger, R., "Referent cognitions and task decision autonomy: Beyond equity theory," Journal of Applied Psychology, Vol. 74, 1989, pp. 293-299 https://doi.org/10.1037/0021-9010.74.2.293
  27. 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
  28. Davis, F. D., Bagozzi, R.P., and Warshaw, P.R., "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
  29. Debrabander, B. and Thiers, G., "Successful information systems development in relation to situational factors which affect effective communication between MIS-users and EDP specialists," Management Science, Vol. 30, No.2, 1984, pp. 137-155 https://doi.org/10.1287/mnsc.30.2.137
  30. Fenner, D.B., Lerch, F.J., and Kulik, C. T., "The impact of computerized performance monitoring and prior performance knowledge on performance evaluation," Journal of Applied Social Psychology, Vol. 23, 1993, pp. 573-601 https://doi.org/10.1111/j.1559-1816.1993.tb01104.x
  31. Fishbein, M. and Ajzen, I., Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison Wesley, Reading, MA, 1975
  32. Folger, R. and Konovsky, M., "Effects of Procedural and Distributive Justice on Reactions to Pay Raise Decisions," Academy of Management Journal, Vol. 32, No.1, 1989, pp. 115-130 https://doi.org/10.2307/256422
  33. Ford, J.D. and Ford, L.W., "The role of conversations in producing intentional change in organizations," Academy of Management Review, Vol. 20, No.3, 1995, pp. 541-570 https://doi.org/10.2307/258787
  34. Fornell, C. and Bookstein F.L., "Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory," Journal of Marketing Research, Vol. 19, No. 4, 1982, pp. 440-452 https://doi.org/10.2307/3151718
  35. Fornell, C. and Larker, D., "Evaluating Structural Models with Unobservable Variable and Measurement Error," Journal of Marketing Research, Vol. 18, No. 1, 1981, pp. 39-50 https://doi.org/10.2307/3151312
  36. Fuerst, W. and Cheney, P., "Factors affecting the perceived utilization of information systems," Decision Sciences Vol. 17, 1982. pp. 329-356 https://doi.org/10.1111/j.1540-5915.1986.tb00230.x
  37. Gefen, D., Karahanna, E., and Straub, D., "Trust and TAM in Online Shopping: An Integrated Model," MIS Quarterly, Vol. 27, No. 1, 2003, pp.51-90
  38. George J.F., "Computer-Based Monitoring: Common Perception and Empirical Results," MIS Quarterly, Vol. 20, No.4, 1994, pp. 459-480 https://doi.org/10.2307/249564
  39. Graen, G.B. and Uhl-Bain, M., "Relationship- based approach to leadership: Development of Leader-Member Exchange (LMX) theory of leadership over 25 years: Applying a multi-level multi-domain perspective," Leadership Quarterly, Vol. 6, No.2, 1995, pp. 219-247 https://doi.org/10.1016/1048-9843(95)90036-5
  40. Greenberg, J., "Organizational Justice: Yesterday, Today, and Tomorrow," Journal of Management, Vol. 16, No.2, 1990, pp. 399-432 https://doi.org/10.1177/014920639001600208
  41. Griffith, T.L., "Monitoring and Performance: A comparison of computer and Supervisor Monitoring," Journal of Applied Social Psychology, Vol. 23, No.7, 1993, pp. 549-572 https://doi.org/10.1111/j.1559-1816.1993.tb01103.x
  42. Grover, V., "From business reengineering to business process change management: a longitudinal study of trends and practice," IEEE Transactions on Engineering Management, Vol. 46, No. 1, 1999, pp. 36-46 https://doi.org/10.1109/17.740036
  43. Hair, J.F., Anderson, R.E., Tatham, R.L., and Black, W.C, Multivariate data analysis, fifth edition, Prentice Hall, 1998
  44. Harrington, H.J., Business Process Improvement: The Breakthrough Strategy for Total Quality, Productivity, and Competitiveness, McGraw-Hill Press, 1991
  45. Hartwick J. and Barki, H., "Explaining the role of user participation in information system use," Management Science, Vol. 40, No.4, 1994, pp. 440-465 https://doi.org/10.1287/mnsc.40.4.440
  46. Hawk, S.R., "The effects of computerized Performance Monitoring: An ethical Perspective," Journal of Business Ethics, Vol. 13 No. 12, 1994, pp. 949-957 https://doi.org/10.1007/BF00881664
  47. Heathfield, S.M., "Five Tips for Effective Employee Recognition: How to Reward, Recognize, Award, and Thank People Successfully," http://humanresources.about. com/cs/ moralemotivation/1/aaOl1203a. htm, 2003(2006년1월 검색)
  48. Heijden, H.V.D., "User Acceptance Model of Hedonic Information Systems," MIS Quarterly, Vol. 28, No.4, 2004, pp. 695-704
  49. Hong, W., Thong, J.Y.L., Wong, W.M., and Tam, K.Y., "Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics," Journal of Management Information Systems, Vol. 18, No.3, 2001, pp. 97-124
  50. Hsu, C.L. and Lu, H.P., "Why do people play on-line games? An extended TAM with social influences and flow experience," Information & Management, Vol. 41, 2004, pp. 853-868 https://doi.org/10.1016/j.im.2003.08.014
  51. Igbaria, M., "End-user computing effective ness: A structural equation model," Omega, Vol. 18, No.6, 1990, pp. 637-652 https://doi.org/10.1016/0305-0483(90)90055-E
  52. Igbaria, M. and Guimaraes, T., "Testing the determinants of microcomputer usage via a structural equation model," Journal of MIS Research, Vol. 11, No.4, 1995, pp. 87-114
  53. Igbaria, M., Zinatelli, N., Cragg, P., and Cavaye, A.M., "Personal computing acceptance factors in small firms: a structural equation model," MIS Quarterly, Vol. 21 No.3, 1997, pp. 279-305 https://doi.org/10.2307/249498
  54. Karahanna, E. Straub, D.W., and Chervany, N.L., "Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs," Management Information Systems Quarterly, Vol. 23, No.2, 1999, pp. 183-214 https://doi.org/10.2307/249751
  55. Kidwell, R.E. Jr. and Bennett, N., "Employee reactions to electronic control system: the role of procedural fairness," Group and Organization Management, Vol. 19, 1994, pp. 203-218 https://doi.org/10.1177/1059601194192006
  56. Kling, R, "Social analyses of computing: Theoretical perspectives in recent empirical research," Computing Surveys, Vol. 12, No.1, 1980, pp. 61-110 https://doi.org/10.1145/356802.356806
  57. Kydd, C.T., "Understanding the information content of MIS management tools," MIS Quarterly, Vol. 13, No.3, 1989, pp. 276-290
  58. Konradt, U., Christophersen, T., and Schaeffer- Kuelz, U., "Predicting user satisfaction, strain, and system usage of employee self-service," Human-Computer Studies, Vol. 64, 2006, pp. 1141-1153 https://doi.org/10.1016/j.ijhcs.2006.07.001
  59. Lewis, C., "American workers beware: Big brother is watching," USA Today, Vol. 127 (i2648), 1999, p.20
  60. Lind, E.A, and Tyler, T., The social psychology of procedural justice. New York: Plenum Press, 1988
  61. Markus, M.L., "Power, Politics, and MIS Implementation," Communications of ACM, Vol. 26 No.6, 1983, pp. 430-444 https://doi.org/10.1145/358141.358148
  62. Marx, G.T. and Sherizen, S., "Monitoring on the Job," in Computers in the Human Context, T. Forester (ed.) The MIT Press, Cambridge, MA, 1989, pp. 397-406
  63. McKeen, J.D., Guimaraes, T., and Wetherbe, J.C., "The relationship between user participation and user satisfaction: An investigation of four contingency factors," MIS Quarterly, Vol. 18, No.4, 1994. pp. 427-452 https://doi.org/10.2307/249523
  64. Mirani, R. and Lederer, A.L., "An instrument for assessing the organizational benefits of IS projects," Decision Sciences, Vol. 29, No.4, 1998, pp. 803-838 https://doi.org/10.1111/j.1540-5915.1998.tb00878.x
  65. Mirvis, P.H., Sales, A.L., and Hackett, E.J., "The implementation and adoption of new technology in organizations: the impact on work, people, and culture," Human Resource Management. Vol. 30, 1991, pp. 113-139 https://doi.org/10.1002/hrm.3930300107
  66. Moore, G.C. and Benbasat, I., "Development of an Instrument to Measure the Perceptions of Adopting and Information Technology Innovation," Information Systems Research, Vol. 2, No.3, 1991, pp. 192-222 https://doi.org/10.1287/isre.2.3.192
  67. Morgan, A.J. and Inks, S.A, "Technology and the sales force," Industrial Marketing Management, Vol. 30, No.5, 2001, pp. 463-472 https://doi.org/10.1016/S0019-8501(99)00115-7
  68. Niehoff, B.P. and Moorman, R.H., "Justice as a mediator of the relationship between methods of monitoring and organizational citizenship behavior," Academy of Management Journal, Vol. 36, No.3, 1993, pp. 527-556 https://doi.org/10.2307/256591
  69. Niehoff, B.P. and Moorman, R.H., "Exploring the relationships between top management behaviors and employee perceptions of fairness," International Journal of Public Administration, Vol. 19, No.6, 1996, pp. 941-961 https://doi.org/10.1080/01900699608525126
  70. Pillar, C., "Privacy in peril," Macworld, July 1993, p. 118
  71. Pinto, M.B. and Pinto, J.K., "Project communication and cross-functional cooperation in new program development," Journal of Product Innovation Management, Vol. 7, No.3, 1990, pp. 200-212 https://doi.org/10.1016/0737-6782(90)90004-X
  72. Pullig, C., Maxham III, J.C., and Hair, J.F., Jr., "Salesforce automation systems: An exploratory examination of organizational factors associated with effective implementation and salesforce productivity," Journal of Business Research, Vol. 55, No.5, 2002, pp. 401-415 https://doi.org/10.1016/S0148-2963(00)00159-4
  73. Shaiken, H., "When the computer runs the office," New York Times, March 1987
  74. Sharma, R. and Yetton, P., "The contingent effects of management support and task interdependence on successful information systems implementation," MIS Quarterly, Vol. 27, 2003, pp. 533-556 https://doi.org/10.2307/30036548
  75. Smith, H. and Fingar, P., Business Process Management: The Third Wave, Meghan Kiffer Press, 2003a
  76. Smith, H. and Fingar, P., IT doesn't matter - Business Processes Do: A Critical analysis of Nicholas Carr's I.T., article in the Harvard Business Review, Meghan-Kiffer Press, 2003b
  77. Stanton, J.M., "Traditional and electronic monitoring from organizational justice perspective," Journal of business and Psychology, Vol. 15, 2000, pp. 129-148 https://doi.org/10.1023/A:1007775020214
  78. Straub, D.G., "Validating instruments in MIS research," MIS quarterly, Vol. 13, No. 2, 1989, pp. 147-169 https://doi.org/10.2307/248922
  79. Taylor, S. and Todd, P., "Assessing IT Usage: The Role of Prior Experience," MIS Quarterly, Vol. 19, No.4, 1995, pp. 561-570 https://doi.org/10.2307/249633
  80. Venkatesh, V., "creation of favorable user perceptions: Exploring the role of intrinsic motivation," MIS Quarterly Vol 23, No.2, 1999, pp. 239-260 https://doi.org/10.2307/249753
  81. Venkatesh, V. and Davis, F.D., "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
  82. Westin, A.R.F., Privacy and Quality of Worklife Issues in Employee Monitoring (OTA-CIT33). Washington DC: Office of Technology Assessment, 1986
  83. Zhao X., Liu, C., and Yang, Y., "An Organisational Perspective on Collaborative Business Processes," in Wil M.P. van der Aalst, Boualem Benatallah, Fabio Casati, & Francisco Curbera (Eds.): Proceedings of Business Process Management, 3rd International Conference, BPM 2005, Nancy, France, September 2005,. Lecture Notes in Computer Science 3649, Springer pp. 17-31
  84. Zmud, R.W. and Cox, J.F., "The Implementation Process: A Change Approach," MIS Quarterly, Vol. 3, No.2, 1979, pp. 35-43