大数据分析能力为战略联盟研究带来了哪些变化和机遇?系统性文献综述

IF 7.5 1区 管理学 Q1 BUSINESS
Senmao Xia, Jianmin Song, Nisreen Ameen, Demetris Vrontis, Ji Yan, Fengwen Chen
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引用次数: 0

摘要

过去几十年来,人们对战略联盟理论进行了广泛研究。然而,这些理论的关键论点可能面临大数据分析能力(BDAC)等新兴技术带来的新限制和挑战。本文旨在明确大数据分析能力给战略联盟理论带来的挑战以及战略联盟研究的相关变化。具体而言,本文通过战略联盟的三个阶段:形成、治理和实现联盟绩效的视角,系统地回顾和识别了 BDAC 如何挑战战略联盟理论的关键论点。同时,本研究还发现了 BDAC 为战略联盟研究带来的一些变化。最后,本研究提出了在 BDAC 影响下战略联盟的未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Changes and Opportunities Does Big Data Analytics Capability Bring to Strategic Alliance Research? A Systematic Literature Review

Strategic alliance theories have been studied widely over the past few decades. However, their key arguments may face new limitations and challenges brought by emerging technologies such as big data analytics capability (BDAC). This paper aims to identify the challenges BDAC brings to strategic alliance theories and the associated changes to strategic alliance research. Specifically, this paper systematically reviews and identifies how BDAC challenges the key arguments in the strategic alliances’ theories through the lens of three stages of strategic alliances: formation, governance and achieving alliance performance. Meanwhile, this study also finds some changes in strategic alliance research brought by BDAC. Finally, this study proposes promising directions for future research on strategic alliances under the influences of BDAC.

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来源期刊
CiteScore
14.60
自引率
7.40%
发文量
36
期刊介绍: The International Journal of Management Reviews (IJMR) stands as the premier global review journal in Organisation and Management Studies (OMS). Its published papers aim to provide substantial conceptual contributions, acting as a strategic platform for new research directions. IJMR plays a pivotal role in influencing how OMS scholars conceptualize research in their respective fields. The journal's reviews critically assess the state of knowledge in specific fields, appraising the conceptual foundations of competing paradigms to advance current and future research in the area.
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