對於導入ERP系統的企業來說，衡量ERP系統的成功或具效益是個相當重要的；但是要如何客觀而準確的衡量成功構面，確實是一件不容易意的事。過去的研究顯示，採用計量的方式衡量成功的ERP系統是相當困難的，目前多數的研究者仍採用主觀或者替代方式衡量，例如：使用者滿意度調查、科技接受模式、DeLone與McLean成功模式等。
因此，本研究採用DeLone與McLean於2003年提出修正的成功模式，納入科技接受模式的變數，衡量三家高科技企業204位使用者在準自願性使用情況下的ERP系統成功模式，透過線性結構模式(SEM)分析修正的模型，結果顯示高科技企業大量客製化報表的結果，會與使用者滿意度產生無關的現象，但若透過使用者的使用後效益(Benefit of use)，則會提高使用者滿意度，顯示客製化報表需要與使用者產生密切關係，如此才會提高使用者的滿意度程度。另使用者的態度(Attitude)與使用者意圖(Intent to use)並無關係，顯示使用者操作ERP系統的意圖，多半受到使用的易用與好用有關，而正面評價ERP系統卻不一定帶來使用的意圖。

The measurement of Enterprise Resource Planning (ERP) systems success or effectiveness is critical to our understanding of the value and efficacy of ERP investment and management actions. Economic and quantitative measures for the success of ERP systems, however, are difficult to obtain. Researchers and practitioners alike often rely on subjective assessment and surrogate measures, such as end-user computing satisfaction (EUCS) instrument, technology acceptance model (TAM) (Davis, 1989), DeLone and McLean model (1992), and updated DeLone and McLean model (2003).
The purpose of the present study is to respecify and extend the updated DeLone and McLean model (2003) of ERP systems success in a quasi-voluntary ERP. Empirical findings are assessed in the broader theoretical context of IS success literature, including methodological issues related to measuring ERP system usage and incorporating the use of a modified form of Davis’s TAM use context. Structural modeling techniques are applied to data collected from the questionnaires answered by 204 users of ERP systems at three high-tech manufacturing firms in Taiwan.

[2].Al-Mashari, A., Al-Mudimigh, A. and Zairi, M. “ERP: a taxonomy of critical factors,” European Journal of Operational Research (146), 2003, pp. 352-364.
[3].Amoako-Gyampah, K., Salam, A.F. “An extension of the technology acceptance model in an ERP implementation environment,” Information & Management (41), 2004, pp.731-745.
[4].Bailey, J.E. & Pearson, S.W. “Development o f a tool for measuring and analyzing computer user satisfaction,” Management Science 29(5), 1983, pp.530-545
[5].Barooudi, J.J., & Orlikowski, W.J. “A short- form measure of user information satisfaction: A sychometric evaluation of notes on use,” Journal of Management Information Systems 4(4), 1988, pp. 44-59
[6].Bedard, J. C., Jackson, C., Ettredge, M. L. and Johnstone, K. M. “The effect of training on auditors’ acceptance of an electronic work system,” International Journal of Accounting Information, Systems 4, 2003, pp.227–250.
[7].Bentler, P. M. and Bonett, D. G. “Significance tests and goodness of fit in the analysis of covariance structures,” Psych. Bull, November 1980, pp.588–606.
[8].Bernroider, E., and Koch, S. “ERP selection process in midsize and large organizations,” Business Process Management Journal (7:3), 2001, pp. 251-257.
[9].Billings, R. and Wroten, S. “Use of path analysis in industrial/organizational psychology: criticisms and suggestions,” Journal of Applied Psychology (63:6), 1978, pp.677-688.
[10].Bradford, M. and Florin, J. “Examining the role of innovation diffusion factors on the implementation success of ERP systems,” International Journal of Accounting Information Systems (4), 2003, pp. 205-225.
[11].Bradford, M. and Roberts, D. “Does Your ERP System Measure Up?” Strategic Finance (83), 2001, pp. 30-34.
[12].Bradford, M. and Sandy, R. “Realizing Value in ERP,” Journal of Cost Management (16:2), 2002, pp. 13-19.
[13].Brancheau, J., Janz, B. and Wetherbe, J. “Key issues in information systems management: 1994–95 SIM Delphi results,” MIS Quarterly (20:2), 1996, pp.225–242.
[14].Browne, M. W. and Cudeck, R. Alternative ways of assessing model fit. K. A. Bollen and J. S. Long, eds. Testing Structural Equation Models. Sage Publications, Newbury Park,CA. 1993, pp.136–162.
[15].Burn, J.M., Saxena, K.B.C., Ma, L. and Cheung, H.K. “Critical issues of IS management in Hong Kong: a cultural comparison,” Journal of Global Information Management (1 4), 1993, pp.28–37.
[16].Chin, W. W. and Todd, P. A. “On the use, usefulness, and ease of use of structural equation modeling in MIS research: A note of caution,” MIS Quarterly 19, June 1995, pp.237–246.
[17].Conrath, D. W. and Mignen, O. P. “What Is Being Done to Measure User Satisfaction with EDP/MIS,” Information and Management (19:1), 1990, pp. 7-19.
[18].Compeau, D.R. and Higgins, C.A. “Computer self-efficacy: development of a measure and initial test,” MIS Quarterly (19:2), 1995, pp. 189-211.
[19].Cooper, R.B., and Zmud, R.W. “Information technology implementation research: A technology diffusion approach,” Management Science (36:2), 1990, pp.123–139.
[20].Davis F. D., “Perceived usefulness, perceived PEOU, and user acceptance of information technology,” MIS Quarterly (13:3), 1989; pp.319–4.
[21].Davis, F.D., Bagozzi, R.P., Warshaw, P.R., “User acceptance of computer technology: a comparison of two theoretical models,” Management Science (35:8), 1989, pp.982-1003.
[22].Davenport, T. H. “Putting the Enterprise into the Enterprise Systems,” Harvard Business Review (76:4), 1998, pp. 121-132.
[23].DeLone, W. and McLean, E. “Information System Success: the quest for the Dependent Variable,” Information Systems Research (3:1), 1992, pp. 60-95.
[24].DeLone, W. and McLean, E. “The DeLone and McLean Model of Information System Success: a Ten Year Update,” Journal of Management Information Systems (19:4), 2003, pp. 9-3.
[25].Deming, W.E. “Improvement of Quality and Productivity through action by management,” National productivity Review, winter 1981-82, pp.12-22
[26].Doll, W.J., Deng, X., Raghunathan, T.S., Torkzadeh, G. and Xia, W. “The meaning and measurement of user satisfaction: a multigroup invariance analysis of the end-user computing satisfaction instrument,” Journal of Management Information (21:1), 2004, pp. 227–262.
[27].Doll, W. J. and Torkzadeh, G. “The measurement of end-user computing satisfaction,” MIS Quarterly (12: 2), 1988, pp.259–274.
[28].Drasgow, F. and Kanfer, R. “Equivalence of psychological measurement in heterogeneous populations,” Journal of Applied Psychology (70:4), 1985, pp.662–680.
[29].Eisenhardt, K. “Building theories from case study research,” Academy of Management Review, 14, 1989, pp.532-550.
[30].Galbraith, J. “Designing Complex Organizations. Reading,” MA: Addison-Wesley, 1973.
[31].Gattiker, T.F. and Goodhue, D. L. “Understanding the plant level costs and benefits of ERP: will the ugly duckling always turn into a swan?,” IEEE Software, 33th Hawaii International Conference on System Science, 2000.
[32].Gefen, D., Straub, D.W. “Gender differences in perception and adoption of e-mail: an extension to the technology acceptance model, MIS Quarterly (21:4), 1997, pp.389-40.
[33].Goodhue, D. L. and Thompson, R. L. “Task-technology Fit and Individual Performance,” MIS Quarterly (19:2), 1995, pp. 213-233
[34].Hair, Jr., J. F., R. E. Anderson, Tatham, R.L. and Black, W.C. Multivariate data analysis: with readings, 5th ed., Prentice Hall, 1998.
[35].Hair, J. F., Jr., R. E. Anderson, Tatham, R.L. and Black, W.C. “Multivariate Data Analysis with Readings,” Prentice Hall, Englewood Cliffs, NJ, 1995.
[36].Holland, C., and Light, B. “A Critical Success Factors Model for ERP Implementation,” IEEE Software (May/June), 1999, pp. 30-36.
[37].Hong, K.-K. and Y.-G. Kim (2002), “The Critical Success Factors for ERP Implementation: An Organizational Fit Perspective,” Information & Management, Vol.40, pp.25-4.
[38].Igbaria M, Iivari J. “The effects of self-efficacy on computer usage,” Omega: International Journal of Management Science (23:6), 1995, pp587–605.
[39].Igbaria, M. and Tan, M. “The Consequences of the Information technology Acceptance on Subsequent Individual Performance,” Information and Management (32:3), 1997, pp. 113-121
[40].Igbaria, M., Zinatelli, N., Cragg, P. and Cavaye, A. “Personal Computing Acceptance Factors on Small Firms: A Structural Equation Model,” MIS Quarterly (21:3), 1997, pp. 279-302
[41].Ives, B. and Olson, M. “User Involvement in MIS Success: A Review of Research,” Management Science (30:5), 1984, pp. 586-603.
[42].Ives, B.; Olson, M.; and Baroudi, J.J. “The measurement of user information satisfaction,” Communications of the ACM (26:10), 1983, pp.785–793.
[43].Jenson, R.L. and Johnson, R.I. “The enterprise resource planning system as a strategic solution,” Information Strategy (15), 1999, pp.28–33.
[44].Jiang, J.J., Klein, G. and Discenza, R. “Perception differences of software success: provider and user views of system metrics,” The Journal of Systems and Software (63), 2002, pp.17-27.
[45].Keen, P. W. “MIS Research: Reference Disciplines and a Cumulative Tradition,” Proceedings of the First International Conference on Information Systems , E. McLean (ed.), Philadelphia, PA, 1980, pp. 9-18.
[46].Landrum, H. and Prybutok, V.R. “A service quality and success model for the information service industry,” European Journal of Operational Research (15), 2004, pp.628-642.
[47].Larsen, K. R. “A Taxonomy of Antecedents of Information Systems Success: Variable Analysis Studies,” Journal of Management Information Systems (20:2), 2003, pp.169–246.
[48].Laudon, K. C. and London, J. P. Management Information Systems: Managing the Digital Firm, 8th ed., 2004.
[49].Markus, M. L., Axline, S., Petrie, D. and Tanis, C. “Learning from Adopters’ Experience with ERP: Problem Encountered and Success Achieved,” Journal of Information Technology (15:4), 2000, pp. 245-265.
[50].Markus, M. L., & Tanis, C. “The enterprise systems experience – from adoption to success,” in R. W. Zmud (ed), Framing the Domains of IT Research: Glimpsing the Future Through the Past, Pinnaflex Educational Resources Inc., Cincinnati, OH, 2000, pp. 173-207.
[51].Marsh, J., Balla, R. and McDonald, R.P. “Goodness-of-fit-indexes in confirmatory factor analysis: The effect of sample size,” Psych.Bull. 103, March 1988, pp.391–411.
[52].Martinsons, M., Davison, R., Tse, D., “The balanced scorecard: a foundation for the strategic management of information systems,” Decision Support Systems (25), 1999, pp.71-88.
[53].Mason, R.O. “Measuring information output: a communication systems approach,” Information & Management (1:5), 1978, pp.219-234.
[54].Mirani, R. and Lederer, A. L. “An instrument for assessing the organizational benefits of IS projects,” Decision Sciences (29:4), 1998, pp.803-838.
[55].Motwani, J., Mirchandani, D., Madan, M., and Gunasekaran, A. “Successful Implementation of ERP Projects: Evidence from Two Case Studies,” International Journal of Production and Economics (75), 2002, pp. 83-96.
[56].Nicolaou, A. I. “Quality of post-implementation review for enterprise resource planning systems,” International Journal of Accounting Information Systems (5), 2004, pp.25- 49
[57].Pitt, L.F., Watson, R.T. and Kavan, C.B. “Service quality: a measure of information systems effectiveness,” MIS Quarterly (19:2), 1995, pp.173-188.
[58].Rajagopal, P. “An Innovation – Diffusion View of Implementation of ERP systems and Development of a Research Model” Information and Management (40), 2002, pp. 87-114.
[59].Raymond, L. “Organizational context and information systems success: a contingency approach,” Journal of Management Information Systems (6:4), 1990, pp. 5-2.
[60].Rai, A., Lang, S.S. and Welker, R.B. “Assessing the validity of IS success models: an empirical test and theoretical analysis,” Information Systems Research (13:1), 2002, pp.50-69.
[61].Rivard, S. and Huff, S.L. “Factors of success for end-user computing,” Communications of the ACM (31:5), 1988, pp.552–561.
[62].Rockart J. “The changing role of the Information Systems Executive: A critical success factors perspective,” Sloan Management Review , Fall 1982, pp.3-13
[63].Sarkis, J. and Sundarraj, R. “A decision model for strategic evaluation of enterprise information technologies,” Information Systems Management (summer), 2001, pp. 62-72
[64].Seddon, P. B. and Kiew, M. “A partial test and development of the DeLone and McLean’s model of IS success,” Proceedings of the International Conference on Information System, 1994, pp. 99-110
[65].Seddon, P. B. and Kiew, M. “A partial test and development of the DeLone and McLean’s model of IS success,” Australian Journal of Information System (4:1), 1996, pp. 90-109.
[66].Seddon, P. B. “A respecification and extension of the DeLone and McLean model of IS success,” Information Systems Research (8:3), 1997, pp.240-253.
[67].Segars, A. H. and Grover. V. “Re-examining perceived ease of use and usefulness: A confirmatory factor analysis,” MIS Quart. 17, December 1993, pp. 517–522.
[68].Shannon, C.E. and Weaver, W. “The mathematical theory of communication,” Urbana, IL: University of Illinois Press, 1949.
[69].Steiger, J. H. “Structural model evaluation and modification: An interval estimation approach,” Multivariate Behavioral Res. 25, April 1990, pp.173–180.
[70].Straub, D., Limayem, M. and Karahanna-Evaristo, E. “Measuring system usage: implications for IS theory testing,” Management Science (41:8), 1995, pp.1328-1341.
[71].Taylor, S. and Todd, P. “Understanding information technology usage: a test of competing models,” Information Systems Research (6:2), 1995, pp. 144-176
[72].Teltumbde, A. “A framework for evaluating ERP projects,” International Journal of Production Research (38:17), 2000, pp. 4507-452.
[73].Teng, J. and Chalhoun, K. “Organizational computing as a facilitator of operational and managerial decision making: an exploratory study of managers’ perceptions,” Decision Sciences (27:4), 1996, pp.673-710.
[74].Tsai, W. H., Chien, S. W. Fan, Y. W. and Julian Ming-Sung Cheng, "Critical Management Issues in Implementing ERP: Empirical Evidences from Taiwanese Firms," International Journal of Services and Standards (1:3), 2005, pp.299-318.
[75].Umble, E., Haft, R. and Umble, M. “ERP: implementation procedures and critical success factors,” European Journal of Operational Research (146), 2003, pp. 241-257.
[76].Venkatesh, V. “Creation of favorable user perceptions: exploring the role of intrinsic motivation,” MIS Quarterly (23:2), 1999, pp.239-26.
[77].Venkatesh, V. “Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the Technology Acceptance Model,” Information Systems Research (11:4), December 2000, pp.342-365.
[78].Venkatesh, V. and Davis, F.D. “A model of the antecedents of perceived ease of use: development and test,” Decision Sciences (27:3), Summer 1996, pp.451-481.
[79].Wixom, B.H. and Watson, H.J. “An empirical incestigation of the factors affecting data warehousing success,” MIS Quarterly (25:1), 2001, pp.17-41.
[80].Yin, R. “Case Study Research,” Sage Publications, Newbury Park, CA. 1984.