商业智能开源软件采用的关键障碍

Placide Poba-Nzaou, Sylvestre Uwizeyemungu, M. Saada
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引用次数: 9

摘要

在过去的几年中,管理人员一直在努力变得更加数据驱动,而这样做的先决条件之一是通过采用商业智能(BI)工具。然而(1)商业智能工具的采用率仍然相对较低;(2)专有商业智能工具的获取成本相对较高;(3)对这些商业智能工具的满意度仍然很低。考虑到开源BI (OSBI)工具的潜力,有必要分析阻止组织采用OSBI的障碍。通过对BI专家进行系统回顾和定性调查,本研究提出了一个框架,该框架对组织采用OSBI的23个障碍进行分类和结构,其中包括4个由BI专家确定但未在文献中明确发现的障碍。本文对OSS和信息系统(IS)关于BI采用的研究文献做出了贡献,并为实践者提供了具体的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Critical Barriers to Business Intelligence Open Source Software Adoption
Over the past few years, managers have been hard pressed to become more data-driven, and one of the prerequisites in doing so is through the adoption of Business Intelligence (BI) tools. However (1) the adoption of BI tools remains relatively low (2) the acquisition costs of proprietary BI tools are relatively high and (3) the level of satisfaction with these BI tools remain low. Given the potential of open source BI (OSBI) tools, there is a need for analyzing barriers that prevent organizations from adopting OSBI. Drawing a systematic review and a Qualitative Survey of BI Experts, this study proposes a framework that categorizes and structures 23 barriers to OSBI adoption by organizations including 4 that were identified by BI Experts but not explicitly found in the literature. This paper contributes to OSS and Information Systems (IS) research literature on BI adoption in general and provides specific insights to practitioners.
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