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Manufacturing servitization in the digital economy: a configurational analysis from dynamic capabilities and lifecycle perspective

Jun Zhan (School of Economics and Management, Shanghai Maritime University, Shanghai, China) (School of Foreign Languages, Fujian Jiangxia University, Fuzhou, China) (School of Economics and Management, Yunnan Normal University, Kunming, China)
Ziyan Zhang (School of Economics and Management, Shanghai Maritime University, Shanghai, China)
Shun Zhang (School of Economics and Management, Shanghai Maritime University, Shanghai, China) (Cisco Systems (China) Research and Development Co., Ltd., Shanghai, China)
Jiabao Zhao (Institute of AI Education, East China Normal University, Shanghai, China)
Fuhong Wang (School of Business, Shanghai Jianqiao University, Shanghai, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 20 September 2022

Issue publication date: 3 February 2023

1235

Abstract

Purpose

Despite servitization being widely regarded as an essential catalyst to improve manufacturing firms' survival and competitiveness, how to attain servitization remains debatable. The primary objective of this research is to explore whether or not, how, and when the dynamic capabilities affect servitization in the digital economy background. This research investigates the relationships between servitization and dynamic capabilities by incorporating firm ownership, firm lifecycle stage, digital economy level and environmental uncertainty as contingency factors in the research framework.

Design/methodology/approach

This research develops and verifies a conceptual framework for manufacturing servitization by employing the fuzzy-set qualitative comparative analysis (fsQCA) in analyzing the secondary longitudinal data from 148 China-listed manufacturing firms involved in servitization from 2015 to 2020.

Findings

The analytical results of fsQCA identify several configurational solutions for the success of manufacturing servitization. Each factor can be an enabler for servitization success despite none of the factors discovered as an absolute condition. Manufacturing servitization success within the digital economy depends on the interactions between dynamic capabilities and contingency factors such as digital economy level, environmental uncertainty, firm ownership, and lifecycle stage.

Research limitations/implications

All of the construct's measurements in this research adopt secondary data, and further investigation calls for primary data (e.g. survey) for higher validity.

Originality/value

This research extends the current view of servitization by proposing an integrative conceptual framework, allowing manufacturing servitization to be examined more pertinently and comprehensively. Second, the research is an initial attempt that adopts fsQCA in servitization studies. The study sheds light on the mechanisms of attaining servitization by revealing the importance of dynamic capabilities and their interactions with the contingency factors. Third, the research extends the application scopes of dynamic capability theory, firm lifecycle theory, contingency theory, and institutional theory. Fourth, the research findings enrich the understanding of servitization in the digital economy and give business practitioners insights on leveraging dynamic capabilities in different conditions to attain successful servitization under the current circumstances.

Keywords

Acknowledgements

This research is sponsored by The National Social Science Fund of China (Project No. 13BGL025). The original data used in this study are also supported by the database from Shanghai Maritime University Library and East China Normal University Library. Jun Zhan, Ziyan Zhang and Shun Zhang contributed equally to this paper. The authors would like to thank the editor and anonymous referees for their valuable suggestions and comments.

Citation

Zhan, J., Zhang, Z., Zhang, S., Zhao, J. and Wang, F. (2023), "Manufacturing servitization in the digital economy: a configurational analysis from dynamic capabilities and lifecycle perspective", Industrial Management & Data Systems, Vol. 123 No. 1, pp. 79-111. https://doi.org/10.1108/IMDS-05-2022-0302

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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