Recovering the divide: A review of the big data analytics—strategy relationship

IF 7.4 2区管理学 Q1 BUSINESS Long Range Planning Pub Date : 2023-04-01 DOI:10.1016/j.lrp.2022.102290

Yassine Talaoui , Marko Kohtamäki , Mikko Ranta , Sotirios Paroutis

引用次数: 6

Abstract

Research on big data analytics has been burgeoning in recent decades, yet its relationship with strategy continues to be overlooked. This paper reviews how big data analytics and strategy are portrayed across 228 articles, identifying two dominant discourses: an input-output discourse that views big data analytics as a computational capability supplementing prospective strategy formulation and an entanglement discourse that theorizes big data analytics as a socially constructed agent that (re)shapes the emergent character of strategy formation. We deconstruct the inherent dichotomies of the input-output/entanglement divide and reveal how both discourses adopt disjointed positions vis-à-vis relational causality and agency. We elaborate a semiotic view of big data analytics and strategy that transcends this standoff and provides a novel theoretical account for conjoined relationality between big data analytics and strategy.

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恢复鸿沟:大数据分析与战略关系的回顾

近几十年来，大数据分析的研究蓬勃发展，但其与战略的关系仍然被忽视。本文回顾了228篇文章中对大数据分析和战略的描述，确定了两种主流话语:一种是将大数据分析视为一种补充前瞻性战略制定的计算能力的输入-输出话语，另一种是将大数据分析理论化为一种社会构建的代理，(重新)塑造战略形成的突发性特征的纠缠话语。我们解构了输入-输出/纠缠划分的固有二分法，并揭示了两种话语如何在-à-vis关系因果关系和代理关系中采取脱节的立场。我们详细阐述了大数据分析和战略的符号学观点，超越了这一僵局，并为大数据分析和战略之间的联系提供了一个新的理论解释。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Long Range Planning Multiple-

CiteScore

13.00

自引率

7.10%

发文量

期刊介绍： Long Range Planning (LRP) is an internationally renowned journal specializing in the field of strategic management. Since its establishment in 1968, the journal has consistently published original research, garnering a strong reputation among academics. LRP actively encourages the submission of articles that involve empirical research and theoretical perspectives, including studies that provide critical assessments and analysis of the current state of knowledge in crucial strategic areas. The primary user base of LRP primarily comprises individuals from academic backgrounds, with the journal playing a dual role within this community. Firstly, it serves as a platform for the dissemination of research findings among academic researchers. Secondly, it serves as a channel for the transmission of ideas that can be effectively utilized in educational settings. The articles published in LRP cater to a diverse audience, including practicing managers and students in professional programs. While some articles may focus on practical applications, others may primarily target academic researchers. LRP adopts an inclusive approach to empirical research, accepting studies that draw on various methodologies such as primary survey data, archival data, case studies, and recognized approaches to data collection.