Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis

被引:44
作者
Raj, Alok [1 ]
Jeyaraj, Anand [2 ]
机构
[1] XLRI Xavier Sch Management, Prod Operat & Decis Sci, Jamshedpur 831001, Bihar, India
[2] Wright State Univ, Raj Soin Coll Business, 3640 Colonel Glenn Highway, Dayton, OH 45435 USA
关键词
Industry; 4; 0; Meta-analysis; Firm performance; Sustainability; SUPPLY CHAIN MANAGEMENT; ACCEPTANCE MODEL; RESEARCH AGENDA; DETERMINANTS; PERFORMANCE; INTERNET; ENABLER; FUTURE;
D O I
10.1007/s10479-022-04942-7
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Industry 4.0 (I4.0) is of burgeoning interest for both researchers and practitioners in the operations management and supply chain context. In recent times, research has examined the antecedents and consequents of I4.0; however, inconsistencies in empirical findings have precluded a clear understanding of the drivers of I4.0 adoption and the subsequent impacts on firm performance. To address this issue, we conducted a meta-analysis of the key antecedents and consequents of I4.0. By establishing these pathways and processes using meta-analysis, we seek to reconcile conflicting results in prior literature and develop a unified framework of the antecedents and consequents of I4.0 adoption. Based on the empirical findings reported in 22 prior studies, we identified 12 antecedents representing technological, organizational, and environmental factors and four consequents representing firm performance of I4.0 adoption. Our findings facilitate managers to prioritize their resources to accentuate I4.0 adoption.
引用
收藏
页码:101 / 124
页数:24
相关论文
共 99 条
[32]  
Depietro R., 1990, The Processes of Technological Innovation, V199, P151
[33]   Industry 4.0 technologies and circular economy: The mediating role of supply chain integration [J].
Di Maria, Eleonora ;
De Marchi, Valentina ;
Galeazzo, Ambra .
BUSINESS STRATEGY AND THE ENVIRONMENT, 2022, 31 (02) :619-632
[34]   Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting [J].
Dubey, Rameshwar ;
Gunasekaran, Angappa ;
Bryde, David J. ;
Dwivedi, Yogesh K. ;
Papadopoulos, Thanos .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020, 58 (11) :3381-3398
[35]   Can big data and predictive analytics improve social and environmental sustainability? [J].
Dubey, Rameshwar ;
Gunasekaran, Angappa ;
Childe, Stephen J. ;
Papadopoulos, Thanos ;
Luo, Zongwei ;
Wamba, Samuel Fosso ;
Roubaud, David .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2019, 144 :534-545
[36]  
Fleischmann M, 2019, PROCEEDINGS OF THE 52ND ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, P6845
[37]   Industry 4.0 technologies: Implementation patterns in manufacturing companies [J].
Frank, Alejandro German ;
Dalenogare, Lucas Santos ;
Ayala, Nestor Fabian .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2019, 210 :15-26
[38]   Review on IT adoption: insights from recent technologies [J].
Gangwar, Hemlata ;
Date, Hema ;
Raoot, A. D. .
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2014, 27 (04) :488-+
[39]   A unified perspective on the factors influencing consumer acceptance of internet of things technology [J].
Gao, Lingling ;
Bai, Xuesong .
ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS, 2014, 26 (02) :211-231
[40]   The relationship between green supply chain management and performance: A meta-analysis of empirical evidences in Asian emerging economies [J].
Geng, Ruoqi ;
Mansouri, Afshin ;
Aktas, Emel .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2017, 183 :245-258