عنوان مقاله [English]
Many of manufacturing organizations have known the benefits of implementing enterprise resource planning system. Yet, they have doubt about adopting the system due to its high cost, uncertainty, and risk. This study identifies the key factors for successful implementation ofenterprise resource planning system in manufacturing industries and provides a model based on structural equation modeling after the obtaining the effective factors from the literature. The results of the study indicated that the effect of performance on perceived usefulness of enterprise resource planning system. The obtained results were analyzed through the least partial equations and some of the hypotheses have been confirmed. This research based on analysis offers recommendations for successful implementation of enterprise resource planning system. The success factors help the senior managers in manufacturing organization to make better decisions and improve their business value through effective enterprise resource planning system.
Akkermans, H. A., Bogerd, P., & Yuccsan, E. (2003), The Impact of Erp on Supply Chain Management: Exploratory Findings from a European Dephi study. Eur JOper Res, 146, 284-301.
Amoako-Gyampah, K., & Salam, A. F. (2003), An Extension of the Technology Acceptance Model in an Erp Implementation Environment Elsevier.
Avital, M., & Vandenbosch, B. (1999), Sap Implementation at Metallica:an Organizational Drama. International Conference on Information Systems ICIS.
Bancroft, N., Seip, H., & Sprengel, A.(1996), Implementing SAP R/3.
Becerra-Fernandez, I., Murphy, K., & Simon, S. (2000), Integrating Erp in the Business School Curriculum. Commun Acm, 43,31-41.
Calisir, F., Altin Gumussoy, C., & Bayram, A. (2009), Predicting the Behavioral Intention to Use Enterprise Resource Planning Systems. Emerald, 32, 597-613.
Chung, B. J., Skibniewski, M. C., Lucasjr, H., & Kwak, Y. (2008), Analyzing Enterprise Resource Planning System Implementation Success Factors in the Engineering-Construction Industry. Journal of Computing in Civil Engineering ASCE.
Chung, B. Y. (2007), An Analysis of Success and Failure Factors for ERP Systems in Engineering and Construction Firms: ProQuest.
Chung, B. Y., Skibniewski, M. J., & Kwak, Y. H. (2009), Developing ERP Systems Success Model for the Construction Industry. Journal of Construction Engineering and Management, 135(3), 207-216.
Davis, F. D. (1989), Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS quarterly, 319-340.
DeLone, W. H., & McLean, E. R. (1992), Information Systems Success: The Quest for the Dependent Variable. Information Systems Research, 3(1), 60-95.
Ferratt, T. W., Ahire, S., & Prabuddha, D. (2006), Achieving Success in Large Projects: Implications from a Study of ERP Implementations. Interfaces, 36(5), 458-469.
Fornell, C., & Larcker, D. F. (1981), Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 39-50.
Garg, P., & Chauhan, A. (2015), Factors Affecting the ERP Implementation in Indian Retail Sector: A Structural Equation Modelling Approach. Benchmarking: An International Journal, 22(7), 1315-1340.
Gattiker, T. F., & Goodhue, D. L. (2005), What Happens After ERP Implementation: Understanding the Impact of Interdependence and Differentiation on Plant-Level Outcomes. MIS Quarterly, 559-585.
Gibson, N., Holland, C., & Light, B. (1999), Enterprise Resource Planning:a Business Approach to Systems Development. 32nd Hawaii International Conference on Science Systems HICSS.
Gobeli, D. H., Koeing, H. F., & Mirsha, C. S. (2002), Strategic Value Creation in: Phan P(Ed) Technological Enterpreneurship.
Gunasekaran, A., Ngai, E. W. T, & Mcgaughey, R. E. (2006), Information Technology and Systems Justification: a Review for Research and Applications. Eur JOper Res 137, 957-983.
Henseler, J., & Sarstedt, M. (2013), Goodness-of-Fit Indices for Partial Least Squares Path Modeling. Computational Statistics, 28(2), 565-580.
Jacobs, F. R., & Bendoly, E. (2003), Enterprise Resource Planning: Developments and Directions for Operations Management Research. European Journal of Operational Research, 146(2), 233-240.
Krumbholz, M., Galliers, J., Coulianos, N., & Maiden, N. (2000), Implementing Enterprise Resource Planning Packages in Different Corporate and National Cultures.J Inf Technol,267-280.
Lee, D., Lee, S. M., Olson, D. L., & Hwan Chung, S. (2010), The Effect of Organizational Support on ERP Implementation. Industrial Management &Data Systems, 110(2), 269-283.
Lucas, Henry, C., & Spitler, V. K. (1999), Technology Use and Performance: A Field Study of Broker Workstations. Decision sciences, 30(2), 291-311.
Mabert, V. A, Soni, A., & Venkataramanan, M. A. (2003), Enterprise Resource Planning: Managing the Implementation Process. European Journal of Operational Research, 146(2), 302-314.
Nazemi, E., Tarokh, M. J., & Djavanshir, G. R. (2012), ERP: ALiterature Survey. 999-1018.
Parr, A., & shanks, G. (2000), A Model of Erp Project Implementation. J Inf Technol, 289-304.
Parr, A., & Shanks, G. (2000), A Taxonomy of Erp Implementation approaches. Hawaii International Conference on Science Systems HICSS.
Rebstock, M., & Selig , J. (2000), Development and Implementation Strategies for International Erp Software Projects. 8th European Conference on Information Systems ECIS, 2, 932-936.
Robinson, A., & Dilts, D. (1999), OR & ERP: AMatch for the New Millenium?. Jun1, 30-35.
Shin, N.F., & Jella, D. (2002), Business Process Reengneering and Performance Improvement the Case of Chase Manhattan Bank. Business Process Management Journal, 8, 351-370.
Somers, T., Nelson, K., & Ragowsky, A. (2000), Enterprise Resource Planing ERP for the Next Millennium: Development of an Integrative Frame Work and Implications for Reserach Americas Conference on Information Systems AMCIS, USA.
Tarantilis, C. D., Kiranoudis, C. T., & Theodorankopoulos, N. D. (2008), A Web-Based Erp System for Business Services and Supply Chain Management: Application to Real-World Process Schediling.Eur JOper Res, 187, 1310-1326.
Venkatesh, V., & Davis, F. D. (2000), A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
Willcocks, L., & Sykes, R. (2000), The Role of the it Function. Commun Acm, 32-38.