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

Shekhar () and Debadyuti Das ()
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Shekhar: University of Delhi
Debadyuti Das: University of Delhi

Global Journal of Flexible Systems Management, 2023, vol. 24, issue 2, No 8, 318 pages

Abstract: Abstract 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.

Keywords: Creating shared value; Innovation; Modeling; Sustainability; TISM-P (search for similar items in EconPapers)
JEL-codes: L1 M00 M31 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s40171-023-00340-5

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