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Applying structural equation model to study the critical risks in business intelligence and analytical system implementation in Indian retail

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  • K. Rajesh
  • D. Saravanan

Abstract

In order to reduce the failure rate of business intelligence and analytical system (BIAS) projects in Indian retail, project managers need to analyse and understand the impact of a risk factor on BIAS implementation. The main objective of this paper is to identify the key risk factors solely or primarily for the Indian retail sector. A theoretical model is developed that explains the risk factors which may impact the success of BIAS implementation. Using the SEM, it is found that 40% of the variations in BIAS implementation success can be explained with the help of the model suggested in the research study. The findings from this paper can provide a greater understanding of BIAS implementations. Researchers, practicing anagers, and those seeking to implement BIAS in the retail organisation can also use the findings of this study as a vehicle for improving BIAS implementation success in the retail sector.

Suggested Citation

  • K. Rajesh & D. Saravanan, 2018. "Applying structural equation model to study the critical risks in business intelligence and analytical system implementation in Indian retail," International Journal of Management Concepts and Philosophy, Inderscience Enterprises Ltd, vol. 11(2), pages 190-218.
    • Handle: RePEc:ids:ijmcph:v:11:y:2018:i:2:p:190-218
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    Cited by:

    1. Ewa Kulinska & Dariusz Maslowski & Małgorzata Dendera-Gruszka, 2021. "The Concept of Industry Supply Chains – A Pilot Study," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 617-627.

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