Application of Structural Equation Modeling To Establish Causal Relationships among Factors Affecting Enterprise Resource Planning (Erp) Implementation

Abstract

Industries Worldwide Are Sensing The Impact Of Globalization And Liberalization From Past Two Decades Or So. As A Result They Are Getting Equipped With Different Tools And Techniques Such As JIT, KANBAN, Kaizen And Enterprise Resource Planning (ERP) Etc. To Manage Their Resources In The Best Manner Possible To Achieve The Desired Results In Terms Of Productivity And Efficiency. These Tools And Techniques Help Them To Sustain And Stay Ahead In The Global Competition. ERP Provides A Common Database Throughout The Organization And Thereby Aid In Automation And Updating Of The Data.ERP Implementation Plays A Major Role In Improving The Overall Performance Of The Organization. The Perceptions Of Factors ERP Implementation In Manufacturing And Service Industries Of North- Karnataka Is Captured Through A Questionnaire Survey, Which When Subjected To Factor Analysis Resulted In Seven Factors Representing The Variables. This Paper Focuses On Establishing The Causality Between The Factors Evolved From Factor Analysis Using Structural Equation Modeling (SEM). These Causal Relations Among The Factors And The Causal Loops Obtained From SEM May Further Help To Develop Robust Dynamic System For ERP Implementation Management.

Authors and Affiliations

Maheshwar C Y, C. M. Javalagi

Keywords

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  • EP ID EP393897
  • DOI 10.9790/9622-0803037183.
  • Views 130
  • Downloads 0

How To Cite

Maheshwar C Y, C. M. Javalagi (2018). Application of Structural Equation Modeling To Establish Causal Relationships among Factors Affecting Enterprise Resource Planning (Erp) Implementation. International Journal of engineering Research and Applications, 8(3), 71-83. https://europub.co.uk/articles/-A-393897