Green Supply Chain Management Drivers Analysis Using TISM

Power Industry is one of the leading global polluters, given the huge amounts of flue gasses and ash produced, while generating power from fossils fuels. The rising demand of power in developing countries, in other words, means rapid increase in global pollution on account of more generation in countries marked as emerging economies. Certainly, concepts such as Green Supply Chain Management (GSCM) offer a hope in containing the damage to environment on account of power industry. But, it has been observed that developing countries, which will witness extraordinary expansions in their generating capacities, are slow at imbibing GSCM practices to the maximum of their potential. India is fast emerging as a prime energy producer, as well as consumer of energy. The Indian Power industry is witnessing a phase of transition, wherein switchover from traditional operations to modern practices is precipitating; but still there is a long way to go. The research aims to study the various drivers affecting the Indian power Industry using Total Interpretive Structural Modeling (TISM) technique, which is a reasonably advanced version of Interpretive Structural Modeling Technique (ISM). TISM differs from ISM in the sense that it does not limit itself in furnishing the causal inter-element relationship, but also cites the logical reasons forming its basis. Its superiority over ISM lies in its Interpretive Matrix, featuring explicitly the causal basis of expert opinions. As a representational sample, the power companies operating in Punjab have been considered; as they aptly symbolize the changing face of Indian power sector–wherein modern changes are brewing up–still there is a plenty of old baggage to pull along. The drivers of GSCM have been studied, which hold promise for more and better-quality energy coupled with eco-financial gains. The drivers were finalized on the basis of opinions extended by Industry experts, as well as having review of extensive volume of literature on the subject. A model based on hierarchy of factors was proposed after applying TISM Technique to identify contextual relationships among the identified enablers which were to be gradually elicited on priority basis for construction of more eco-friendly supply chain of Power Industry. There is greater potency of “Top Management Commitment” (toward greening of Power Sector) in ensuring successful implementation of GSCM, whereas “Environment/Social Responsibility” was identified with weak motivation for power industry to go green.