Applying structural equation model to study the critical risks in business intelligence and analytical system implementation in Indian retail
K. Rajesh and
D. Saravanan
International Journal of Management Concepts and Philosophy, 2018, vol. 11, issue 2, 190-218
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.
Keywords: benchmarking; business intelligence; analytics; Indian retail; risks identification; project management. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.inderscience.com/link.php?id=92338 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmcph:v:11:y:2018:i:2:p:190-218
Access Statistics for this article
More articles in International Journal of Management Concepts and Philosophy from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().