Impact of Business Intelligence Adoption on performance of banks: a conceptual framework
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ORIGINAL RESEARCH
Impact of Business Intelligence Adoption on performance of banks: a conceptual framework N. Nithya1 · R. Kiruthika2 Received: 6 February 2020 / Accepted: 14 August 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract With the mounting prominence of inter-disciplinary methodologies in management, it was appropriate to study the impact of business intelligence on the performance of an organization. In the present study, the author attempted to create a conceptual framework to measure the impact of Business Intelligence Adoption on bank performance in order to add value to the existing views on Business Intelligence Adoption (BIA). Further the literature review approach was carried out to realize the definite gap that exists in the area of BIA. Also in lieu of the strong customer base of modern banks, the study has included Customer Relationship Management as a moderating variable of the proposed framework. This would enhance the focus of BIA in relationship with all the included variables which will enable a bank to lay policies based on the identified relationship between the variables of the study. Literature was assessed on all the variables and the research gap was identified paving way for conceptualisation of a model which can be used in future to measure the impact of BIA on Bank Performance in purview of Customer Relationship Management. This study would be an initial preparatory tool to arrive at a model so as to assess and quantify the impact of BIA on performance of banks in future. Keywords Business intelligence · Business Intelligence Adoption · Bank Performance · CRM · Conceptual framework
1 Introduction We board a learning driven world, the immediate after effect of approaches in data and corresponding advancements. The data and correspondence innovation transformation gave us accommodation and basic access to data, versatile interchanges and even feasible commitment to the present amount of information. In addition, the prerequisite of information from these monstrous measures of data is even much all the more squeezing for undertakings. In Unidirectional view, the associations will continue the challenge by removing the most feasible cost from the inside information resources. In the world of fast growing technology, Electronic supplementary material The online version of this article (https://doi.org/10.1007/s12652-020-02473-2) contains supplementary material, which is available to authorized users. * N. Nithya [email protected] 1
Department of MBA, Sona College of Technology, Salem, India
PSGR Krishnammal College for Women, Coimbatore, India
2
the business intelligence (BI) domain is also mounting importance by giving forces to the industries to meet the needs of the customer. Business intelligence being a set of methodologies to convert a raw data set to meaningful and useful information for making decisions would help in quick computations, enhanced communication and collaboration, increased productivity of teams, efficient use o
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