Business Intelligence Systems Adoption Model: An Empirical Investigation

Rouhani, Saeed ORCID: 0000-0002-4580-522X, Ashrafi, Amir, Ravasan, Ahad Zare and Afshari, Samira (2018) Business Intelligence Systems Adoption Model: An Empirical Investigation. Journal of Organizational and End User Computing, 30 (2). pp. 43-70. doi:10.4018/JOEUC.2018040103

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Decision support and business intelligence systems have been increasingly adopted in organizations, while understanding the nature of affecting factors on such adoption decisions need receiving much academic interest. This article attempts to provide an in-depth analysis toward understanding the critical factors which affect the decision to adopt business intelligence (BI) in the context of banking and financial industry. In this regard, it examines a conceptual model that shows the impacts of different technological, organizational, and environmental factors in the decision to adopt BI by a firm. Structural equation modeling (SEM) was used for data analysis and test the relevant hypothesis. The results of this article which are derived from theoretical discussion of hypothesizes show that from nine hypothesized relationships—perceived tangible and intangible benefits, firm size, organizational readiness, strategy, industry competition and competitors absorptive capacity—affect BIS adoption in the surveyed cases.

Item Type: Article
Article Type: Article
Subjects: H Social Sciences > HF Commerce > HF5001 Business > HF5717 Business communication
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas: Applied Business & Technology
Depositing User: Marta Kemp
Date Deposited: 06 Feb 2020 10:01
Last Modified: 13 Mar 2024 13:26

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