揭示商业智能有效使用的前提:来自定性系统审查方法的经验教训

IF 7.4 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Alexandra Adriani Widjaja, Amir Hossein Ghapanchi, Scott Bingley
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引用次数: 0

摘要

目的本研究侧重于案例研究,以确定有效使用商业智能(BI)的先决条件。几十年来,研究表明,采用后行为对技术采用的成功起着至关重要的作用。努力已经超越了意图和采用点,转向了技术的有效使用。在采用BI的情况下,其随意使用的性质增加了等式的复杂性。尽管提供了统计证据,但研究表明需要其他方法来阐明BI有效使用的先决条件。设计/方法/方法本研究采用系统综述的方法,综合了三个主要研究数据库20年来的相关研究成果。它侧重于定性和混合方法研究,以确定相关主题的新途径。这些发现提供了前词的分类。它确定了40个前因,分为8类:技术、运营支持、资源、治理、战略、个人行为、环境和文化。它还强调了几个特定于组织和个人的先决条件,如分析领导力、商业愿景、协作工作文化、组织学习文化和用户信任。原创性/价值本研究提供了解释性案例研究的见解。它利用了BI研究与实践的相关性。它为在组织和个人层面分析的BI采用后研究提供了新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncovering the antecedents to the effective use of business intelligence: lessons from a qualitative systematic review approach

Purpose

This study focuses on case studies to identify the antecedents to the effective use of business intelligence (BI). For decades, research has shown that post-adoption behaviour has a critical role in the success of technology adoption. Efforts have been drawn beyond intention and adoption point to the effective use of technology. In the case of BI adoption, its nature of discretional use adds complexity to the equation. Despite the statistical evidence provided, research has indicated the need for other approaches to shed light on the antecedents of BI’s effective use.

Design/methodology/approach

This study employs a systematic review approach to synthesise 20 years of related works from three major research databases. It focuses on qualitative and mixed-method research to identify new avenues in the related topic.

Findings

The findings provide the taxonomy of the antecedents. It identifies 40 antecedents grouped into 8 categories: technology, operational support, resources, governance, strategic, individual behaviour, environment and culture. It also highlights several organisation-specific and individual-specific antecedents, such as analytic leadership, business vision, collaborative working culture, organisational learning culture and user trust.

Originality/value

The study provides insight from interpretative case studies. It leverages the relevance of BI’s research to its practices. It offers new avenues in the BI post-adoption studies at the organisational and the individual level of analysis.

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来源期刊
CiteScore
14.80
自引率
6.20%
发文量
30
期刊介绍: The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge. Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences. JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.
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