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.

中文翻译：

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商业智能系统采用模型

决策支持和商业智能系统已在组织中越来越多地采用，同时了解影响此类采用决策的因素的性质需要引起很多学术兴趣。本文试图提供深入的分析，以了解影响在银行和金融业中采用商务智能BI的决策的关键因素。在这方面，它研究了一个概念模型，该模型显示了不同技术，组织和环境因素对企业采用BI决策的影响。使用结构方程建模SEM进行数据分析并检验相关假设。