DocumentCode :
130454
Title :
Towards an understanding business intelligence. a dynamic capability-based framework for Business Intelligence
Author :
Olszak, Celina M.
Author_Institution :
Katowice Univ. of Econ., Katowice, Poland
fYear :
2014
fDate :
7-10 Sept. 2014
Firstpage :
1103
Lastpage :
1110
Abstract :
Although Business Intelligence (BI) is one of the most essential technologies to be purchased, the implementation of many BI applications fails. The reasons for this failure are not clear and still not well investigated. Resource-based View (RBV) and dynamic capability theory could help to overcome this gap and to provide an appropriate theoretical basis for future research in BI area. It is considered that BI capabilities may be critical functionalities that help organizations to improve their performance and adopt to environmental change. The research objectives for this study are: (1) conceptualization and discussion on BI dynamic capability, (2) building the comprehensive framework of BI capabilities. In order to address these objectives, the remainder of the paper is structured as follows: The first sections provide the theoretical foundations of BI, RBV and dynamic capability theory. Next, the BI capability was conceptualized. Finally, a model of BI as a dynamic capability, was proposed. The study was based mainly on: (1) a critical analysis of literature, (2) an observation of different BI initiatives undertaken in various organizations, as well as on (3) interviews with managers and experts in BI. The results of this study can be used by IT and business leaders as they plan and develop BI capabilities in their organizations.
Keywords :
business data processing; competitive intelligence; BI capability; RBV; business intelligence; dynamic capability theory; dynamic capability-based framework; resource-based view; Bismuth; Data mining; Decision making; Dynamic scheduling; Interviews; Organizations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
Conference_Location :
Warsaw
Type :
conf
DOI :
10.15439/2014F68
Filename :
6933142
Link To Document :
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