Exploring How Big Data Analytics Management Capability Fuel Market Performance: Evidence From a Mediated Moderation Model

被引：3
作者：
Song, Jianmin [1 ]
Xiang, Yamin [2 ]
Huang, Bo [1 ]
Xie, Yi [3 ]
Li, Yuyu [4 ]
机构：
[1] Chongqing Univ, Sch Econ & Business Adm, Chongqing 400044, Peoples R China
[2] Army Med Univ, Grad Sch, Chongqing 400038, Peoples R China
[3] Wuhan Univ, Econ & Management Sch, Wuhan 430072, Peoples R China
[4] Chongqing Normal Univ, Sch Econ & Management, Chongqing 400047, Peoples R China
来源：
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT | 2024年 / 71卷
关键词：
Big Data analytics management capability (BDAMC); dynamic capability; market orientation; partial least squares-structural equation modeling (PLS-SEM); RESOURCE-BASED VIEW; STRUCTURAL EQUATION MODELS; DYNAMIC CAPABILITIES; PLS-SEM; ORGANIZATIONAL AGILITY; STRATEGIC ORIENTATIONS; PREDICTIVE ANALYTICS; METHOD VARIANCE; SUPPLY CHAIN; INNOVATION;
D O I：
10.1109/TEM.2023.3312774
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Although firms are keen on using Big Data analytics management capability (BDAMC) to improve their performance, they have little knowledge of understanding the mechanisms and conditions of this relationship. To fill this research gap, this article explores the indirect effect of market orientation on the relationship between BDAMC and market performance. Also, this article tests the moderating effect of dynamic capability in this relationship. Based on 483 survey data from Chinese firms and foreign firms, the results show that BDAMC can fuel market performance by fostering market orientation. In addition, dynamic capability positively moderates the direct effect of market orientation on market performance. Meanwhile, the indirect effect of market orientation in the relationship between BDAMC and market performance is also moderated by dynamic capability. These findings contribute to understanding how to apply BDAMC to realize performance, which enriches the managerial literature about Big Data management.
引用
收藏
页码：9080 / 9093
页数：14
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