What Changes and Opportunities Does Big Data Analytics Capability Bring to Strategic Alliance Research? A Systematic Literature Review

IF 7.5 1区 管理学 Q1 BUSINESS
Senmao Xia, Jianmin Song, Nisreen Ameen, Demetris Vrontis, Ji Yan, Fengwen Chen
{"title":"What Changes and Opportunities Does Big Data Analytics Capability Bring to Strategic Alliance Research? A Systematic Literature Review","authors":"Senmao Xia,&nbsp;Jianmin Song,&nbsp;Nisreen Ameen,&nbsp;Demetris Vrontis,&nbsp;Ji Yan,&nbsp;Fengwen Chen","doi":"10.1111/ijmr.12350","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":48326,"journal":{"name":"International Journal of Management Reviews","volume":"26 1","pages":"34-53"},"PeriodicalIF":7.5000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Management Reviews","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ijmr.12350","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

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.

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
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。
求助全文
约1分钟内获得全文 求助全文
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信