Industry 4.0 Powered Process Technology Innovation, Firm's Leanness, and Eco-Environmental Performance During the COVID-19 Phase

被引:0
作者
Sun, Han [1 ]
Chu, Xiao [1 ]
机构
[1] Jilin Univ, Sch Business & Management, Changchun, Peoples R China
关键词
industry revolution 4; 0; COVID-19; technology innovation; green supply chain; environmental performance; LOOP SUPPLY CHAIN; GREEN; MANAGEMENT; IMPACT; RECOMMENDATIONS; COORDINATION; INCENTIVES; STRATEGIES; VALIDITY;
D O I
10.3389/fenvs.2022.902182
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Amid rising market competitiveness, Industry Revolution (IR) 4.0 oriented technological integration is considered an imperative driver of sustainable organizational performances and green supply chain management. This study explores the role of IR 4.0 powered process technology innovation in enhancing Leanness, Green Supply Chain Management, and Organizational Performance (including operational, economic, and environmental) during COVID-19. For this purpose, a novel conceptual framework was developed, and Partial Least Square-Structural Equation Modelling (PLSM) was employed on primary data of 314 respondents collected from Chinese manufacturing industries. Moreover, Multi-Group Analysis was also implemented to compare firms' willingness to implement IR 4.0 technologies powered process innovation. The results exhibit that Green IR 4.0 powered process technology innovation improves firm's leanness and stimulates environmental, optional, and economic performances. Similar findings are endorsed through the green supply chain management channel. Manifestly, COVID-19 instigated firms to adopt IR 4.0-based technological processes for efficient supply chain management. Based on these results, organizations are recommended to integrate IR 4.0 induced technology innovation to spur manufacturing firms' eco-economic and operational performance.
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页数:11
相关论文
共 61 条
[1]   Critical Factors of Digital Supply Chains for Organizational Performance Improvement [J].
Ahmed Khan, Sharfuddin ;
Kusi-Sarpong, Simonov ;
Gupta, Himanshu ;
Kow Arhin, Francis ;
Nguseer Lawal, Jennifer ;
Mehmood Hassan, Syed .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 :13727-13741
[2]   Steering firm performance through innovative capabilities: A contingency approach to innovation management [J].
Ahmed, Waqar ;
Najmi, Arsalan ;
Ikram, Minhaj .
TECHNOLOGY IN SOCIETY, 2020, 63
[3]   Examining the impact of institutional pressures and green supply chain management practices on firm performance [J].
Ahmed, Waqar ;
Najmi, Arsalan ;
Khan, Farhana .
MANAGEMENT OF ENVIRONMENTAL QUALITY, 2020, 31 (05) :1261-1283
[4]   Exploring firm performance by institutional pressures driven green supply chain management practices [J].
Ahmed, Waqar ;
Najmi, Arsalan ;
Arif, Muhammad ;
Younus, Muhammad .
SMART AND SUSTAINABLE BUILT ENVIRONMENT, 2019, 8 (05) :415-437
[5]   Developing and analyzing framework for understanding the effects of GSCM on green and economic performance: Perspective of a developing country [J].
Ahmed, Waqar ;
Ahmed, Waqar ;
Najmi, Arsalan .
MANAGEMENT OF ENVIRONMENTAL QUALITY, 2018, 29 (04) :740-758
[6]  
Bowen FE, 2001, PROD OPER MANAG, V10, P174
[7]   The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda [J].
Buer, Sven-Vegard ;
Strandhagen, Jan Ola ;
Chan, Felix T. S. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (08) :2924-2940
[8]   Integrating environmental management into supply chains A systematic literature review and theoretical framework [J].
Wong, Chee Yew ;
Wong, Christina W. Y. ;
Boon-itt, Sakun .
INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2015, 45 (1-2) :43-68
[9]   Moderating effect of environmental supply chain collaboration Evidence from Taiwan [J].
Chen, Yenming J. ;
Wu, Yenchun Jim ;
Wu, Tienhua .
INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2015, 45 (9-10) :959-978
[10]   Industry 4.0 strategies and technological developments. An exploratory research from Italian manufacturing companies [J].
Chiarini, Andrea ;
Belvedere, Valeria ;
Grando, Alberto .
PRODUCTION PLANNING & CONTROL, 2020, 31 (16) :1385-1398