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Connecting Big Data Management Capabilities with Employee Ambidexterity in Chinese Multinational Enterprises Through the Mediation of Big Data Value Creation at the Employee Level

Shamim, Saqib, Zeng, Jing, Choksy, Umair Shafi, Shariq, Muhammad Syed (2019) Connecting Big Data Management Capabilities with Employee Ambidexterity in Chinese Multinational Enterprises Through the Mediation of Big Data Value Creation at the Employee Level. International Business Review, . Article Number 101604. ISSN 0969-5931. (doi:10.1016/j.ibusrev.2019.101604) (KAR id:75724)

Abstract

Drawing from the knowledge-based dynamic capabilities (KBDCs) view, this study examines the association of big data management capabilities with employee exploratory and exploitative activities at the individual level. Furthermore, it also investigates the mediating role of big data value creation in the association of big data management capabilities with exploratory and exploitative activities. The partial least square method was employed to analyse the hypotheses using data collected from 308 employees of 20 Chinese multinational enterprises. The existing literature gives scant attention to the role of big data management capabilities at the individual level. The main contribution of this study is that it conceptualises big data management as the ability utilise external knowledge (generated from global users) under the resource-constrained environment of an emerging economy. Furthermore, this study builds upon the existing literature on KBDC to explain big data management capabilities as antecedents to ambidexterity at the individual employee level.

Item Type: Article
DOI/Identification number: 10.1016/j.ibusrev.2019.101604
Uncontrolled keywords: Big data management capabilities, big data value creation, exploratory activities, exploitative activities, MNEs, ambidexterity, emerging economies
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Depositing User: Saqib Shamim
Date Deposited: 08 Aug 2019 14:42 UTC
Last Modified: 04 Feb 2022 13:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/75724 (The current URI for this page, for reference purposes)

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