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Big data analytics and market performance: the roles of customization and personalization strategies and competitive intensity.

Authors :
Kamel, Mahmoud Abdelrahman
Source :
Journal of Enterprise Information Management; 2023, Vol. 36 Issue 6, p1727-1749, 23p
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17410398
Volume :
36
Issue :
6
Database :
Complementary Index
Journal :
Journal of Enterprise Information Management
Publication Type :
Academic Journal
Accession number :
173460030
Full Text :
https://doi.org/10.1108/JEIM-04-2022-0114