在企业系统中整合分析:关于影响和创新的系统性文献综述

IF 3 Q2 MANAGEMENT Administrative Sciences Pub Date : 2024-06-30 DOI:10.3390/admsci14070138
Maria C. Solano, Juan C. Cruz
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引用次数: 0

摘要

企业信息系统(EIS)的最新进展已从主要支持运营和战术流程过渡到通过综合分析实现战略决策。本系统性综述批判性地研究了 2010 年至 2023 年的全球文献,重点关注影响在 EIS 中采用分析组件的因素,并评估其对企业战略决策的影响。按照 PRISMA 2020 指南,我们从 Scopus 数据库中精心挑选并审阅了文章,采用基于技术-组织-环境(TOE)框架的强大分类法对研究结果进行分类。我们的方法包括对 234 项研究进行彻底筛选,最终分析出 45 篇符合我们严格标准的同行评审文章。这些研究共同强调了组织能力方面存在的巨大差距,尤其是在 EIS 周围的业务生态系统中,这阻碍了先进分析技术的有效采用和利用。研究结果突出表明,企业需要更好地理解和实施企业内部集成分析战略,以加强战略决策流程。本综述从技术、组织和环境等方面,确定了将分析技术整合到企业信息系统(EIS)中的关键因素。它强调了在指导具有商业智能(BI)功能的企业资源规划(ERP)系统模型方面存在的巨大差距,并强调了通过分析加强战略决策的强大研究需求。
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Integrating Analytics in Enterprise Systems: A Systematic Literature Review of Impacts and Innovations
Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing on the factors influencing the adoption of analytical components in EISs and assessing their impact on strategic decision-making in organizations. Following the PRISMA 2020 guidelines, we meticulously selected and reviewed articles from the Scopus database, employing a robust taxonomy based on the technology–organization–environment (TOE) framework to categorize findings. Our methodology involved a thorough screening of 234 studies, leading to a final analysis of 45 peer-reviewed articles that met our stringent criteria. These studies collectively underscore a significant gap in organizational capabilities, notably in the business ecosystems surrounding EISs, which hampers the effective adoption and utilization of advanced analytics. The results highlight a distinct need for improved understanding and implementation strategies for integrated analytics within EISs to enhance strategic decision-making processes. This review identifies critical factors for integrating analytics into Enterprise Information Systems (EISs), emphasizing technological, organizational, and environmental dimensions. It highlights a significant gap in models guiding ERP systems with Business Intelligence (BI) capabilities and underscores the need for robust research to enhance strategic decision-making through analytics.
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来源期刊
CiteScore
4.80
自引率
10.00%
发文量
151
审稿时长
11 weeks
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