 Making strategy process intelligent with business intelligence: an empirical investigationSanjeev Arora, Vinay Kumar Nangia and Rajat Agrawal International Journal of Data Analysis Techniques and Strategies, 2015, vol. 7, issue 1, 77-95 Abstract: With the advancements in information systems, 'business intelligence (BI)' has gained considerable ground in business and strategic decision making. A number of studies show the relation between BI and business value, and provide ample evidence of uses of BI. The present study contributes to the growing body of literature on BI and strategic management by attempting to find out the relation between BI applications and tightness/looseness of strategy process structuring with the help of binary logistic regression. It is found from the empirical investigation that more use of BI systems increases the odds of tightly structured strategy process in a significant way, i.e., increased control systems, higher focus on goals and strategies, more objectivity in performance measurement, etc. Also some of the BI measures, like spreadsheet analytics, dashboards, etc. dominate the information systems but a need for improved systems is felt by businesses. Keywords: business intelligence; strategic management; strategy process; cluster analysis; binary logistic regression; automotive manufacturing; automotive components; SPSS analysis; automobile industry. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:injdan:v:7:y:2015:i:1:p:77-95 Access Statistics for this article More articles in International Journal of Data Analysis Techniques and Strategies from Inderscience Enterprises Ltd |
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