Key capabilities for closed-loop supply chain: Empirical evidence from manufacturing firms

被引:3
作者
Bhatia, Manjot Singh [1 ]
Kumar, Saurabh [2 ]
Gangwani, Kishore Kumar [3 ]
Kaur, Bhavneet [4 ]
机构
[1] Thapar Inst Engn & Technol, LM Thapar Sch Management, Patiala, India
[2] Indian Inst Management Indore, Indore, India
[3] Management Dev Inst Gurgaon, Gurgaon, India
[4] Chandigarh Univ, Ludhiana, India
关键词
Circular economy; Closed-loop supply chain; Capabilities; Information technology; Sustainability; RESOURCE-BASED VIEW; PARTIAL LEAST-SQUARES; REVERSE LOGISTICS; DYNAMIC CAPABILITIES; INFORMATION-TECHNOLOGY; PRODUCT RECOVERY; ENVIRONMENTAL PERFORMANCE; PROGRAMMING-MODEL; GREEN OPERATIONS; MODERATING ROLE;
D O I
10.1016/j.techfore.2024.123717
中图分类号
F [经济];
学科分类号
02 ;
摘要
The objective of this paper is to explore the capabilities to implement closed-loop supply chain (CLSC). In this regard, a theoretical model grounded in natural resource-based view is proposed, which depicts interrelationships among the capabilities and CLSC. The model is tested using survey data from Indian manufacturing firms by partial least squares (PLS) approach. The findings show information technology and organizational learning as important lower-order capabilities, and internal integration, demand management and product design as significant higher-order capabilities for CLSC implementation. To the best of authors' knowledge, this is the first study to examine key capabilities for CLSC. The study contributes to CLSC literature by providing an integrative framework, classifying capabilities into lower-order capabilities and higher-order capabilities, and empirically examining the key capabilities for CLSC. The findings provide managers with insights about the hierarchical levels of capabilities for CLSC, which will help them to accordingly deploy the appropriate resources to build capabilities for CLSC.
引用
收藏
页数:11
相关论文
共 109 条
  • [41] HART SL, 1995, ACAD MANAGE REV, V20, P986
  • [42] A Natural-Resource-Based View of the Firm: Fifteen Years After
    Hart, Stuart L.
    Dowell, Glen
    [J]. JOURNAL OF MANAGEMENT, 2011, 37 (05) : 1464 - 1479
  • [43] Antecedents to and outcomes of reverse logistics metrics
    Hazen, Benjamin T.
    Overstreet, Robert E.
    Hall, Dianne J.
    Huscroft, Joseph R.
    Hanna, Joe B.
    [J]. INDUSTRIAL MARKETING MANAGEMENT, 2015, 46 : 160 - 170
  • [44] Henseler J, 2009, ADV INT MARKETING, V20, P277, DOI 10.1108/S1474-7979(2009)0000020014
  • [45] Challenges of demographic changes and digitalization on eco-innovation and the circular economy: Qualitative insights from companies
    Hojnik, Jana
    Ruzzier, Mitja
    Ruzzier, Maja Konecnik
    Sucic, Boris
    Soltwisch, Brandon
    [J]. JOURNAL OF CLEANER PRODUCTION, 2023, 396
  • [46] Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification
    Hu, LT
    Bentler, PM
    [J]. PSYCHOLOGICAL METHODS, 1998, 3 (04) : 424 - 453
  • [47] Production planning for closed-loop supply chains with product recovery and reuse: an analytical approach
    Jayaraman, V
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2006, 44 (05) : 981 - 998
  • [48] Role of information technology and collaboration in reverse logistics supply chains
    Jayaraman, Vaidyanathan
    Ross, Anthony D.
    Agarwal, Anurag
    [J]. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2008, 11 (06) : 409 - 425
  • [49] Closed loop supply chain network design and optimisation using fuzzy mixed integer linear programming model
    Jindal, Anil
    Sangwan, Kuldip Singh
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (14) : 4156 - 4173
  • [50] Information technology and organizational learning: An investigation of exploration and exploitation processes
    Kane, Gerald C.
    Alavi, Maryam
    [J]. ORGANIZATION SCIENCE, 2007, 18 (05) : 796 - 812