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How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective

Shamim, Saqib, Cang, Shuang, Yu, Hongnian, Li, Yun, Chen, Leo Yi, Yao, Xifan (2019) How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective. In: 2019 International Conference on Advanced Mechatronic Systems (ICAMechS). . pp. 390-395. IEEE ISBN 978-1-72813-480-2. (doi:10.1109/ICAMechS.2019.8861622) (KAR id:78835)

Abstract

This study offers a view point from a strategic management perspective which shows that firms in emerging economies can learn Industry 4.0 from their foreign partners operating from developed economies, by developing knowledge based dynamic capabilities (KBDCs). It emphasises on the importance of management inclination towards Industry 4.0. Integration of literature and logical beliefs show that management inclinations towards Industry 4.0 in terms of leadership, talent management, culture, and technology can facilitate the development of KBDCs which facilities knowledge activities. Firms in the emerging and underdeveloped economies are in special need of this kind of capabilities because of institutional voids. By developing these capabilities they can extract knowledge from their foreign partners from developed industrial economies who are doing well in terms of Industry 4.0. This study suggests that it needs a right combination of leadership, talent management, technology, and culture to learn and implement Industry 4.0 in the firm.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ICAMechS.2019.8861622
Uncontrolled keywords: Industry 4.0; Management inclination; Knowledge based dynamic capabilities; Knowledge extraction; Emerging economy
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Depositing User: Saqib Shamim
Date Deposited: 19 Nov 2019 10:34 UTC
Last Modified: 09 Dec 2022 03:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/78835 (The current URI for this page, for reference purposes)

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