Enablers of ‘Creating Shared Value’: A Total Interpretive Structural Modeling–Polarity Approach

被引:0
|
作者
Shekhar [1 ]
Das D. [1 ]
机构
[1] Faculty of Management Studies, University of Delhi, Delhi
关键词
Creating shared value; Innovation; Modeling; Sustainability; TISM-P;
D O I
10.1007/s40171-023-00340-5
中图分类号
学科分类号
摘要
The concept of Creating Shared Value (CSV) is gaining prominence in industries as an approach to creating and distributing value among stakeholders. However, transitioning to CSV requires a thorough understanding of key adoption factors. The objective of this study is to identify the factors influencing the decision to create shared value and establish a hierarchical relationship between them. This study draws support from the literature to identify the enablers and barriers to CSV. Total interpretive structural modelling–polarity is used to design a hierarchical framework to determine the key factors, which are then classified using cross-impact matrix multiplication applied to classification (MICMAC analysis). Results show that industry characteristics, corporate governance mechanisms, innovation and technology, and information dissemination drive the adoption of CSV in an organization to generate financial benefits and ensure long-run survival. It is achieved through improved stakeholder relationships, the development of competitive advantage, and enhanced customer satisfaction. In addition, elements like enhanced costs and complexity in the value chain diminish the overall strategic gains. The findings contribute to the theory of CSV by identifying building blocks for its implementation and offering useful key insights to the managers for its implementation. Classification of these factors will aid in determining the key factors while concentrating on the outcomes. The study further reveals that the identification of pitfalls of CSV through determining the polarity of the links will safeguard the managers by mitigating the risks. © 2023, The Author(s) under exclusive licence to Global Institute of Flexible Systems Management.
引用
收藏
页码:291 / 318
页数:27
相关论文
共 50 条
  • [41] Collaborative Online International Learning (COIL): A Study of Enablers Using Total Interpretive Structural Modelling and MICMAC Analysis
    Panackal, Nehajoan
    Sharma, Adya
    Rautela, Sonica
    [J]. INTERNATIONAL JOURNAL OF EDUCATIONAL SCIENCES, 2023, 41 (1-3) : 15 - 28
  • [42] Modeling drivers for successful adoption of green business: an interpretive structural modeling approach
    Apurbo Sarkar
    Lu Qian
    Anamika Kor Peau
    Saleh Shahriar
    [J]. Environmental Science and Pollution Research, 2021, 28 : 1077 - 1096
  • [43] Modeling drivers for successful adoption of green business: an interpretive structural modeling approach
    Sarkar, Apurbo
    Qian, Lu
    Peau, Anamika Kor
    Shahriar, Saleh
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (01) : 1077 - 1096
  • [44] Modeling the Barriers of a Circular Economy for Enhancing Competitiveness: An Interpretive Structural Modeling Approach
    Ratema Mpho Gift
    Surajit Bag
    J. H. C. Pretorius
    [J]. International Journal of Global Business and Competitiveness, 2023, 18 (2) : 91 - 100
  • [45] Are we really addressing the roadblocks to adoption of renewable and sustainable energy technologies? Total interpretive structural modeling approach
    Yiğit Kazançoğlu
    Nazlican Gozacan
    Sunil Luthra
    Anil Kumar
    [J]. Environmental Science and Pollution Research, 2024, 31 : 16846 - 16864
  • [46] Implementing Area Business Continuity Management for Large-Scale Disaster: A Total Interpretive Structural Modeling Approach
    Meechang, Kunruthai
    Watanabe, Kenji
    [J]. JOURNAL OF DISASTER RESEARCH, 2023, 18 (05) : 513 - 523
  • [47] Are we really addressing the roadblocks to adoption of renewable and sustainable energy technologies? Total interpretive structural modeling approach
    Kazancoglu, Yigit
    Gozacan, Nazlican
    Luthra, Sunil
    Kumar, Anil
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (11) : 16846 - 16864
  • [48] Interactions of Lean enablers in Manufacturing SMEs using Interpretive Structural Modelling Approach - a case study of KRI
    Mohammad, I. S.
    Oduoza, C. F.
    [J]. 29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING, 2019, 38 : 900 - 907
  • [49] Barriers to the Adoption of Modular Construction in Portugal: An Interpretive Structural Modeling Approach
    Ribeiro, Adriana Machado
    Arantes, Amilcar
    Cruz, Carlos Oliveira
    [J]. BUILDINGS, 2022, 12 (10)
  • [50] A Fuzzy Approach for Modeling and Design of Agile Supply Chains using Interpretive Structural Modeling
    Balaji, M.
    Velmurugan, V.
    Prapa, M.
    Mythily, V
    [J]. JORDAN JOURNAL OF MECHANICAL AND INDUSTRIAL ENGINEERING, 2016, 10 (01): : 67 - 74