Start Date
12-18-2013
Description
While Business Intelligence & Analytics (BIA) applications are increasingly being adopted into business, there is a significant variation in using them to empower organizational business functions. There is a paucity of empirical research examining the drivers of extensive usage of BIA in organizations. Drawing on Technological-Organizational-Environmental theoretical framework, we present and test a conceptual model of factors associated with the extent of organizational usage of BIA. We find that sophistication of data-related infrastructure in firms drives usage while challenges related to data management hamper the extent of usage. Further, we find that large organizations have a higher propensity to use BIA in business functions while managerial challenges related to integration and talent management prevent extensive usage. Finally, we find that industry competitive intensity influences usage extent. This study highlights the antecedents of usage and can help researchers and practitioners to understand what factors can enable firms to use BIA extensively.
Recommended Citation
Malladi, Suresh and Krishnan, Mayuram, "Determinants of Usage Variations of Business Intelligence & Analytics in Organizations – An Empirical Analysis" (2013). ICIS 2013 Proceedings. 17.
https://aisel.aisnet.org/icis2013/proceedings/KnowledgeManagement/17
Determinants of Usage Variations of Business Intelligence & Analytics in Organizations – An Empirical Analysis
While Business Intelligence & Analytics (BIA) applications are increasingly being adopted into business, there is a significant variation in using them to empower organizational business functions. There is a paucity of empirical research examining the drivers of extensive usage of BIA in organizations. Drawing on Technological-Organizational-Environmental theoretical framework, we present and test a conceptual model of factors associated with the extent of organizational usage of BIA. We find that sophistication of data-related infrastructure in firms drives usage while challenges related to data management hamper the extent of usage. Further, we find that large organizations have a higher propensity to use BIA in business functions while managerial challenges related to integration and talent management prevent extensive usage. Finally, we find that industry competitive intensity influences usage extent. This study highlights the antecedents of usage and can help researchers and practitioners to understand what factors can enable firms to use BIA extensively.