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Getting value from Business Intelligence systems: A review and research agenda

机译：从商业智能系统获得价值：审查和研究议程

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Much of the research on Business Intelligence (BI) has examined the ability of BI systems to help organizations address challenges and opportunities. However, the literature is fragmented and lacks an overarching framework to integrate findings and systematically guide research. Moreover, researchers and practitioners continue to question the value of BI systems. This study reviews and synthesizes empirical Information System (IS) studies to team what we know, how well we know, and what we need to know about the processes of organizations obtaining business value from BI systems. The study aims to identify which parts of the BI business value process have been studied and are still most in need of research, and to propose specific research questions for the future. The findings show that organizations appear to obtain value from BI systems according to the process suggested by Soh and Markus (1995), as a chain of necessary conditions from BI investments to BI assets to BI impacts to organizational performance; however, researchers have not sufficiently studied the probabilistic processes that link the necessary conditions together. Moreover, the research has not sufficiently covered all releVant levels of analysis, nor examined how the levels link up. Overall, the paper identified many opportunities for researchers to provide a more complete picture of how organizations can and do obtain value from BI. (C) 2016 Elsevier B.V. All rights reserved.
机译：商业智能（BI）的许多研究都研究了BI系统帮助组织应对挑战和机遇的能力。但是，文献是零散的，缺乏综合研究结果和系统指导研究的总体框架。而且，研究人员和从业人员继续质疑BI系统的价值。本研究回顾并综合了经验信息系统（IS）研究，以对我们从组织从BI系统获得业务价值的过程所了解的知识，了解的程度以及需要了解的知识进行分组。该研究旨在确定BI商业价值过程的哪些部分已经过研究，仍然最需要研究，并提出了针对未来的具体研究问题。研究结果表明，组织似乎按照Soh和Markus（1995）建议的过程从BI系统中获取价值，这是从BI投资到BI资产再到BI对组织绩效的影响的一系列必要条件。但是，研究人员尚未充分研究将必要条件联系在一起的概率过程。此外，研究还没有充分涵盖所有相关的分析级别，也没有研究这些级别之间的联系。总体而言，本文为研究人员提供了许多机会，使他们可以更全面地了解组织如何以及如何从BI获得价值。 （C）2016 Elsevier B.V.保留所有权利。

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