AN INNOVATIVE APPROACH TO EVALUATE GREEN SUPPLY CHAIN MANAGEMENT (GSCM) DRIVERS BY USING INTERPRETIVE STRUCTURAL MODELING (ISM)

被引:40
|
作者
Rehman, Minhaj Ahemad Abdul [1 ]
Shrivastava, Rakesh L. [2 ]
机构
[1] St Vincent Pallotti Coll Engn & Technol, Dept Mech Engn, Nagpur, Maharashtra, India
[2] Yeshwantrao Chavan Coll Engn, Dept Mech Engn, Nagpur, Maharashtra, India
关键词
Green supply chain management; green manufacturing; green purchasing; drivers; interpretive structural modeling;
D O I
10.1142/S0219877011002453
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Green supply chain management (GSCM) comprises of the Manufacturing process that minimizes waste and pollution. It also integrates environmental thinking into supply chain management; from conceptual product design to the delivery of final product to the consumers, and also involves end-of-life management. Many business organizations have implemented GSCM and many more are in the process to put into practice. Its implementation is supported by few factors which are known as GSCM drivers. These drivers could assist in adoption of Green supply chain management. The aim of this paper is to develop a relationship amongst the identified GSC drivers; including management commitments, regulatory pressure etc. This paper is also helpful in understanding mutual influences of drivers, it helps in identifying those drivers which support other drivers as well as those drivers which are most influenced by other drivers (dependent) using interpretive structural modeling (ISM) and it classifies these drivers depending upon their driving and dependency on power.
引用
下载
收藏
页码:315 / 336
页数:22
相关论文
共 50 条
  • [1] Analysis of the barriers for implementing green supply chain management (GSCM) Practices: An Interpretive Structural Modeling (ISM) Approach
    Jayant, Arvind
    Azhar, Mohd
    12TH GLOBAL CONGRESS ON MANUFACTURING AND MANAGEMENT (GCMM - 2014), 2014, 97 : 2157 - 2166
  • [2] Barriers for adoption of green supply chain management in cement industry: an interpretive structural modelling (ISM) approach
    Chotia, Varun
    Soni, Swati
    Jain, Girish
    Papa, Armando
    ANNALS OF OPERATIONS RESEARCH, 2023,
  • [3] Analysis of internal factors of green supply chain management: An interpretive structural modeling approach
    Chakraborty, Arka
    Al Amin, Md
    Baldacci, Roberto
    CLEANER LOGISTICS AND SUPPLY CHAIN, 2023, 7
  • [4] An interpretive structural modeling approach to enablers of green supply chain management on construction projects
    Amade, Benedict
    JOURNAL OF PROJECT MANAGEMENT, 2021, 6 (02) : 73 - 82
  • [5] Barriers to sustainable supply chain management implementation in Egyptian industries: an interpretive structural modeling (ISM) approach
    Zayed, Esraa Osama
    Yaseen, Ehab A.
    MANAGEMENT OF ENVIRONMENTAL QUALITY, 2021, 32 (06) : 1192 - 1209
  • [6] Establishment of Green Supply Chain Management in Steel Industries Using Interpretive Structural Modeling
    Kumar, Rajesh
    Shekhar, Shiena
    PERSPECTIVES ON GLOBAL DEVELOPMENT AND TECHNOLOGY, 2019, 18 (04) : 363 - 374
  • [7] Barriers of Green Supply Chain Management: An Analysis with Interpretive Structural Modeling
    Sun Mingbo
    Wang Weige
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS A-C, 2008, : 500 - 504
  • [8] Enablers and Barriers of Flexible Green Supply Chain Management: A Total Interpretive Structural Modeling Approach
    Shibin K.T.
    Gunasekaran A.
    Papadopoulos T.
    Dubey R.
    Singh M.
    Wamba S.F.
    Global Journal of Flexible Systems Management, 2016, 17 (2) : 171 - 188
  • [9] Building Theory of Green Supply Chain Management using Total Interpretive Structural Modeling (TISM)
    RameshwarDubey
    AngappaGunasekaran
    Wamba, Samuel Fosso
    Bag, Surajit
    IFAC PAPERSONLINE, 2015, 48 (03): : 1688 - 1694
  • [10] Designing a Model for Supply Chain Agility (SCA) Indexes Using Interpretive Structural Modeling (ISM)
    Dastyar, Haniyeh
    Mohammadi, Ali
    Mohamadlou, Moslem Ali
    DYNAMICS IN LOGISTICS, 2018, : 58 - 66