An ERP performance measurement framework using a fuzzy integral approach

Emerald - Tập 19 Số 5 - Trang 607-626 - 2008
Chun‐Chin Wei1, Tian‐Shy Liou2, Kuo‐Liang Lee1
1Department of Industrial Engineering and Management, Ching Yun University, Chung Li, Taiwan, Republic of China
2Department of Business Administration, Chen Shiu University, Niaosong, Taiwan, Republic of China

Tóm tắt

PurposeThe purpose of this paper is to propose a comprehensive framework for measuring the performance of an enterprise resource planning (ERP) system to survey suitable performance indicators (PIs) according to knowledge of the ERP implementation objectives set up at the implementation phase and build consistent measurement standards for facilitating the complex ERP performance evaluation process.Design/methodology/approachA seven‐step ERP performance measurement framework based on the objectives of ERP implementation is proposed. A fuzzy ERP performance index is used to account for the ambiguities involved in evaluating the performance of the ERP system. The fuzzy ERP performance index can be translated first into simple scores and then back to linguistic terms. An actual example in Taiwan demonstrates the feasibility of applying the proposed framework.FindingsThe findings indicate that the PIs of ERP performance measurement should align with the objectives of ERP implementation. The assessment results can represent the achievement of these objectives and the directions for improving the adopted ERP system.Originality/valueThis study may be interesting to some academic researchers and practical managers. The proposed framework can provide a procedure to link the objectives identified in the ERP system implementation phase and the performance considerations in the ERP use phase.

Tài liệu tham khảo

Buckley, J.J. (1985), “Fuzzy hierarchical analysis”, Fuzzy Sets and Systems, Vol. 17, pp. 233‐47. Chan, D.C.K., Yung, K.L. and Ip, A.W.H. (2002), “An application of fuzzy sets to process performance evaluation”, Integrated Manufacturing Systems, Vol. 13 No. 4, pp. 237‐46. Chan, F.T.S. and Kumar, N. (2007), “Global supplier development considering risk factors using fuzzy extended AHP‐based approach”, Omega, Vol. 35 No. 4, pp. 417‐31. Chan, F.T.S., Chan, H.K., Lau, H.C.W. and Ip, R.W.L. (2006), “An AHP approach in benchmarking logistics performance of the postal industry”, International Journal of Benchmarking, Vol. 13 No. 6, pp. 636‐61. Chang, P.L. and Chen, Y.C. (1994), “A fuzzy multi‐criteria decision making method for technology transfer strategy selection in biotechnology”, Fuzzy Sets and Systems, Vol. 63, pp. 131‐9. Chang, S.L., Wang, R.C. and Wang, S.Y. (2007), “Applying a direct multi‐granularity linguistic and strategy‐oriented aggregation approach on the assessment of supply performance”, European Journal of Operational Research, Vol. 177 Nos 2/1, pp. 1013‐25. Chen, S.J. and Hwang, C.L. (1992), Fuzzy Multiple Attribute Decision Making: Methods and Applications, Springer‐Verlag, New York, NY. Chen, Z. and Ben‐Arieh, D. (2006), “On the fusion of multi‐granularity linguistic label sets in group decision making”, Computers & Industrial Engineering, Vol. 51 No. 3, pp. 526‐41. Clemen, R.T. (1996), Making Hard Decisions: An Introduction to Decision Analysis, Duxbury Press, Pacific Grove, CA. Delone, W.H. and McLean, E.R. (1992), “Information systems success: the quest for the dependent variable”, Information Systems Research, Vol. 3, pp. 60‐95. Doll, W.J. and Torkzadeh, G. (1988), “The measurement of end‐user computing satisfaction”, MIS Quarterly, Vol. 12 No. 2, pp. 259‐74. Dubois, D. and Prade, H. (1978), “Operations on fuzzy numbers”, International Journal of Systems Science, Vol. 9, pp. 613‐26. Hagood, W.O. and Friedman, L. (2002), “Using the balanced scorecard to measure the performance of your HR information system”, Public Personnel Management, Vol. 31 No. 4, pp. 543‐57. Irani, Z. (1999), “IT/IS investment decision making”, Logistics and Information Management, Vol. 12 No. 1, pp. 8‐11. Jain, V., Tiwari, M.K. and Chan, F.T.S. (2004), “Evaluation of the supplier performance using an evolutionary fuzzy‐based approach”, Journal of Manufacturing Technology Management, Vol. 15 No. 8, pp. 735‐44. Kaufmann, A. and Gupta, M.M. (1991), Introduction to Fuzzy Arithmetic: Theory and Application, Van Nostrand Reinhold, New York, NY. Keeney, R.L. and Raiffa, H. (1993), Decisions with Multiple Objectives: Preferences and Value Tradeoffs, Cambridge University Press, New York, NY. Kivijarvi, H. and Saarinen, T. (1995), “Investment in information systems and the financial performance of the firm”, Information & Management, Vol. 28, pp. 143‐63. Klenke, K. (1992), “Construct and critique of user satisfaction and user involvement instructions”, Information, Vol. 3 No. 4, pp. 325‐48. Lee, Y.W., Strong, D.M., Kahn, B.K. and Wang, R.Y. (2002), “AIMQ: a methodology for information quality assessment”, Information & Management, Vol. 40, pp. 133‐46. Liang, G.S. and Wang, M.J.J. (1994), “Personnel selection using fuzzy MCDM algorithm”, European Journal of Operational Research, Vol. 78, pp. 22‐33. Liou, T.S. and Wang, M.J.J. (1992), “Ranking fuzzy number with integral value”, Fuzzy Sets and Systems, Vol. 50, pp. 247‐55. Liou, T.S. and Wang, M.J.J. (1994), “Subjective assessment of mental workload – a fuzzy linguistic multi‐criteria approach”, Fuzzy Sets and Systems, Vol. 62, pp. 155‐65. Mashari, M.A., Mudimigh, A.A. and Zairi, M. (2003), “Enterprise resource planning: a taxonomy of critical factors”, European Journal of Operational Research, Vol. 146, pp. 352‐64. Michael, R. and Jens, W. (1999), “Measuring the performance of ERP software: a balanced scorecard approach”, Proceeding of the 10th Australasian Conference on Information Systems, pp. 773‐84. Murphy, K.E. and Simon, S.J. (2001), “Using cost benefit analysis for enterprise resource planning project evaluation: a case for including intangibles”, Proceedings of the 34th Hawaii International Conference on System Sciences, pp. 1‐11. Ohdar, R. and Ray, P.K. (2004), “Performance measurement and evaluation of suppliers in supply chain: an evolutionary fuzzy‐based approach”, Journal of Manufacturing Technology Management, Vol. 15 No. 8, pp. 723‐34. Omero, M., D'Ambrosio, L., Pesenti, R. and Ukovich, W. (2005), “Multiple‐attribute decision support system based on fuzzy logic for performance assessment”, European Journal of Operational Research, Vol. 160, pp. 710‐25. Palvia, S.C., Sharma, R.S. and Conrath, D.W. (2001), “A socio‐technical framework for quality assessment of computer information systems”, Industrial Management & Data Systems, Vol. 101 No. 5, pp. 237‐51. Saarinen, T. (1996), “An expanded instrument for evaluating information system success”, Information & Management, Vol. 31, pp. 103‐18. Saaty, T.L. (1980), The Analytic Hierarchy Process, McGraw‐Hill, New York, NY. Shamsuzzaman, M., Sharif Ullah, A.M.M. and Bohez, E.L.J. (2003), “Applying linguistic criteria in FMS selection: fuzzy‐set‐AHP approach”, Integrated Manufacturing Systems, Vol. 14 No. 3, pp. 247‐54. Sharif Ullah, A.M.M. (2005), “A fuzzy decision model for conceptual design”, Systems Engineering, Vol. 8 No. 4, pp. 296‐308. Skok, W., Kophamel, A. and Richardson, I. (2001), “Diagnosing information system success: importance‐performance maps in the health club industry”, Information & Management, Vol. 38, pp. 409‐19. Stensrud, E. and Myrtveit, I. (2003), “Identifying high performance ERP projects”, IEEE Transaction on Software Engineering, Vol. 29 No. 5, pp. 398‐416. Wei, C.C. and Wang, M.J.J. (2004), “A comprehensive framework for selecting an ERP system”, International Journal of Project Management, Vol. 22, pp. 161‐9. Wei, C.C., Chien, C.F. and Wang, M.J.J. (2005), “An AHP‐based approach to ERP system selection”, International Journal of Production Economics, Vol. 96, pp. 47‐62. Wu, J.H., Wang, Y.M., Chang‐Chien, M.C. and Tai, W.C. (2002), “An examination of ERP user satisfaction in Taiwan”, Proceedings of the 35th Hawaii International Conference on System Sciences. Zadeh, L.A. (1965), “Fuzzy sets”, Information and Control, Vol. 8, pp. 338‐53.
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Emerald

Tập 19 Số 5

607-626

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