大数据分析与市场绩效:定制和个性化策略与竞争强度的作用

IF 7.4 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of Enterprise Information Management Pub Date : 2023-11-01 DOI:10.1108/jeim-04-2022-0114
Mahmoud Abdelrahman Kamel
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引用次数: 0

摘要

大数据分析(BDA)在通过客户关系管理(CRM)了解客户行为方面发挥着至关重要的作用,特别是在快速变化的商业环境中。本文研究了BDA使用对市场绩效的直接影响,以及通过采用大数据支持的CRM策略(如定制和个性化)产生的中介效应。本文还考察了竞争强度在这些效应中的调节作用。设计/方法/途径从知识基础理论(knowledge-based view, KBV)和组织信息处理理论(Organizational Information Processing Theory, OIPT)出发,构建研究模型。随后,通过PLS-SEM对埃及500强中167家公司的229名管理者的在线调查数据进行了测量模型和假设的检验。研究结果表明,BDA的使用并不直接影响市场绩效,但通过采用定制和个性化策略,这种影响显著。研究结果还显示,BDA的使用与这些策略的采用之间存在正相关。此外,竞争强度仅调节BDA使用与个性化策略采用之间的关系。公司可以使用BDA通过定制和个性化来提高客户知识和体验,从而获得更好的市场表现,并朝着成为大数据驱动型组织的方向发展。本研究仅限于埃及背景下的公司,这限制了结果的普遍性。原创性/价值本研究从概念上和经验上探讨了在竞争激烈的情况下,特别是在新兴市场的背景下,BDA的使用、定制和个性化策略如何影响市场表现。
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Big data analytics and market performance: the roles of customization and personalization strategies and competitive intensity

Purpose

Big data analytics (BDA) plays a crucial role in understanding customer behavior through Customer Relationship Management (CRM), especially in a rapidly changing business environment. This paper investigates the direct effect of BDA use on market performance, besides the mediating effect through Big Data-enabled CRM strategies adoption (e.g. customization and personalization). The paper also examines the moderating role of competitive intensity in these effects.

Design/methodology/approach

Drawing from a knowledge-based view (KBV) and Organizational Information Processing Theory (OIPT), the authors formulated the research model. Subsequently, the measurement model and hypotheses were tested through PLS-SEM on online survey data of 229 managers from 167 companies out of Egypt's top 500.

Findings

The results indicated that BDA use does not directly affect the market performance, but this effect was significant through customization and personalization strategies adoption. The results also revealed a positive association between BDA use and the adoption of these strategies. Furthermore, competitive intensity only moderates the relationship between BDA use and personalization strategy adoption.

Research limitations/implications

Companies can use BDA to improve customer knowledge and experience through customization and personalization, leading to better market performance and moving towards becoming a Big Data-driven organization. This study is limited to companies in the Egyptian context, which restricts the generalizability of the results.

Originality/value

This study conceptually and empirically explores how BDA usage, customization and personalization strategies impact market performance under competitive intensity situations, especially in the context of emerging markets.

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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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