Evidence-Based Resilience Management for Supply Chain Sustainability: An Interpretive Structural Modelling Approach

被引:26
|
作者
Shin, Nina [1 ]
Park, Sangwook [2 ]
机构
[1] Sejong Univ, Coll Business Adm, Seoul 05006, South Korea
[2] Seoul Natl Univ, Coll Business Adm, Seoul 08826, South Korea
关键词
Supply chain resilience; sustainability; systematic literature review; interpretive structural modelling; PUBLIC-PRIVATE PARTNERSHIPS; RISK-MANAGEMENT; SCALE DEVELOPMENT; CYBER-RESILIENCE; FRAMEWORK; AGILITY; FLEXIBILITY; DISRUPTION; CAPABILITIES; PERFORMANCE;
D O I
10.3390/su11020484
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The purpose of this study is to systematically identify and design improvement planning for supply chain resilience (SCRES) for a higher level of sustainability and a competitive advantage. Literature-based interpretive structural modelling (ISM), a pairing of the systematic literature review (SLR) and ISM approaches, is proposed for investigating and identifying a set of key performance measures of resilience for supply chain (SC) management. In line with previous research, we identified and updated 13 key SC capabilities out of 24 as core performance measures of supply network resilience. Furthermore, our findings categorised each capability and element into one of four types of influential power variables (drivers, dependent, autonomous, or linkage). This study (i) lends support to and updates previous research that examined the core capabilities of SCRES and (ii) provides complementary classifications for the influential powers of SCRES capabilities and elements. The literature indicates that there has been no research that has integrated SLR as a basis to ISM for an effective way to utilize existing studies for increasing awareness and developing managerial guidelines to achieve SCRES.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Knowledge management in sustainable supply chain management: Improving performance through an interpretive structural modelling approach
    Lim, Ming K.
    Tseng, Ming-Lang
    Tan, Kim Hua
    Bui, Tat Dat
    JOURNAL OF CLEANER PRODUCTION, 2017, 162 : 806 - 816
  • [2] Analysis of barriers of sustainable supply chain management in electronics industry: An interpretive structural modelling approach
    Menon, Rakesh R.
    Ravi, V.
    CLEANER AND RESPONSIBLE CONSUMPTION, 2021, 3
  • [3] 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,
  • [4] Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach
    Agrawal, Prakash
    Narain, Rakesh
    INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2023, 72 (02) : 410 - 439
  • [5] An approach for analysing supply chain complexity drivers through interpretive structural modelling
    Piya, Sujan
    Shamsuzzoha, Ahm
    Khadem, Mohammad
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2020, 23 (04) : 311 - 336
  • [6] Eco-design practices towards sustainable supply chain management: interpretive structural modelling (ISM) approach
    Thamsatitdej P.
    Boon-itt S.
    Samaranayake P.
    Wannakarn M.
    Laosirihongthong T.
    International Journal of Sustainable Engineering, 2017, 10 (06) : 326 - 337
  • [7] Analysis of supply chain resilience barriers in Indian automotive company using total interpretive structural modelling
    Agarwal, Nishtha
    Seth, Nitin
    JOURNAL OF ADVANCES IN MANAGEMENT RESEARCH, 2021, 18 (05) : 758 - 781
  • [8] Modelling challenges of blockchain technology enabled healthcare sustainable supply chain management: a modified-total interpretive structural modelling approach
    Vishwakarma, Amit
    Dangayach, G. S.
    Meena, M. L.
    Jindal, Manish Kumar
    Gupta, Sumit
    Jagtap, Sandeep
    OPERATIONS MANAGEMENT RESEARCH, 2023, 16 (04) : 1781 - 1790
  • [9] Modelling challenges of blockchain technology enabled healthcare sustainable supply chain management: a modified-total interpretive structural modelling approach
    Amit Vishwakarma
    G. S. Dangayach
    M. L. Meena
    Manish Kumar Jindal
    Sumit Gupta
    Sandeep Jagtap
    Operations Management Research, 2023, 16 : 1781 - 1790
  • [10] Assessing the value of supply chain management in the humanitarian context - An evidence-based research approach
    Stumpf, Jonas
    Besiou, Maria
    Wakolbinger, Tina
    JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT, 2023, 13 (01) : 1 - 9