Khalilzadeh Salmasi, Maryam; Talebpour, Alireza and Homayounvala, Elaheh. 2016. Identification and classification of organizational level competencies for BI success. Journal of Intelligence Studies in Business, 6(2), pp. 17-33. [Article]

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Abstract or Description

Business intelligence is a technology-oriented solution that businesses need to survive in today’s competitive and constantly changing market. To gain the benefits of BI systems, it is important to evaluate, assess, and improve factors that have an influence on BI success. Organizational competencies can provide answers to the question of how companies could gain more benefits from BI systems. While investment in BI systems is increasingly growing, measures to evaluate effective organizational competencies leading to BI success are gaining more importance. Therefore, this research identified a number of effective organizational competencies that contribute to BI success. Using the developed questionnaire for determining the effect of organizational level success on BI success, the research data was gathered for the study. A chi-square test confirmed the effectiveness of all nineteen identified competencies. Then, an exploratory factor analysis (EFA) was carried out on the data in order to identify the underlying dimensions. In addition, competencies were grouped into six categories, namely data management, information system/information technology (IS/IT) development, financial resources, relationship management, IS strategy and human capital policies. As a result, these competencies can be used as a measure to evaluate an organization’s status in holding some of the effective factors for BI success.

Item Type:	Article
Additional Information:	This research identified and grouped a number of effective organizational competencies that contribute to BI success.
Keywords:	BI success, business intelligence, exploratory factor analysis, organizational level competencies
Departments, Centres and Research Units:	Computing
Dates:	Date Event 2016 Published 25 August 2016 Accepted
Item ID:	27087
Date Deposited:	08 Oct 2019 10:42
Last Modified:	10 Jun 2021 05:21
Peer Reviewed:	Yes, this version has been peer-reviewed.
URI:	https://research.gold.ac.uk/id/eprint/27087

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