Analysing the role of Industry 4.0 technologies and circular economy practices in improving sustainable performance in Indian manufacturing organisations

被引:56
作者
Kamble, Sachin S. [1 ]
Gunasekaran, Angappa [2 ]
机构
[1] Natl Inst Ind Engn NITIE, Operat & Supply Chain Management, Mumbai, Maharashtra, India
[2] Calif State Univ, Sch Business & Publ Adm, 9001 Stockdale Highway,20BDC-140, Bakersfield, CA 93311 USA
关键词
Industry; 4; 0; circular economy; sustainability; manufacturing; performance; SUPPLY CHAIN MANAGEMENT; RESOURCE-BASED VIEW; DYNAMIC CAPABILITIES; FIRM PERFORMANCE; BUSINESS MODELS; BIG-DATA; GREEN; CHALLENGES; SYSTEMS; CHINA;
D O I
10.1080/09537287.2021.1980904
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The focus of Industry 4.0 (I4) technologies is to address the issue of scarce resources and improve productivity by providing solutions to economise the use of limited resources and find other substitute raw materials. Circular economy (CE) is also identified as a solution to manage the increasing pressure of environmental regulations, price volatility in resources, and supply uncertainty. However, the relationship between I4 technologies, CE and sustainable performance (SP) is still unexplored and demands a more conceptual and empirical investigation on understanding how the I4 technologies favour the transition towards CE practices and what impact they have together on SP. Based on a survey of 238 manufacturing practitioners from India, the study investigates the mediating and moderating role of CE practices on the relationship between I4 technologies and SP. The findings reveal that developing an environment of CE is not a prerequisite for implementing I4 technologies. However, I4 technologies support developing efficient CE environment, which, leads to the achievement of sustainable organisational goals. Future research directions and implications for practitioners are provided.
引用
收藏
页码:887 / 901
页数:15
相关论文
共 114 条
[21]   The servicisation of the cutting tool supply chain [J].
Cheng, Chen-Yang ;
Barton, Dave ;
Prabhu, Vittal .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (01) :1-19
[22]  
Chin W. W., 2009, Handbook of partial least squares: Concepts, methods and applications, P655, DOI DOI 10.1007/978-3-540-32827-829
[23]  
Cohen J., 2013, STAT POWER ANAL BEHA, DOI [10.1016/B978-0-12-179060-8.50012-8, DOI 10.4324/9780203771587, 10.4324/9780203771587]
[24]  
Cohen J., 1983, Applied multiple regression/correlation analysis for the behavior sciences, V2nd
[25]  
Cohen J., 1992, Current Directions in Psychological Science, V1, P98, DOI [10.1111/1467-8721.ep10768783, DOI 10.1111/1467-8721.EP10768783]
[26]  
Cote R., 1995, Journal of Cleaner Production, V3, P41, DOI DOI 10.1016/0959-6526(95)00041-C
[27]  
Cote R.P., 1998, J CLEAN PROD, V6, P181, DOI [10.1016/S0959-6526, DOI 10.1016/S0959-6526, 10.1016/S0959-6526(98)00029-8, DOI 10.1016/S0959-6526(98)00029-8]
[28]   The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis [J].
Curran, PJ ;
West, SG ;
Finch, JF .
PSYCHOLOGICAL METHODS, 1996, 1 (01) :16-29
[29]   Supply chain management and the circular economy: towards the circular supply chain [J].
De Angelis, Roberta ;
Howard, Mickey ;
Miemczyk, Joe .
PRODUCTION PLANNING & CONTROL, 2018, 29 (06) :425-437
[30]   An Industry 4.0 research agenda for sustainable business models [J].
de Man, Johannes Cornelis ;
Strandhagen, Jan Ola .
MANUFACTURING SYSTEMS 4.0, 2017, 63 :721-726