Sustainability is hinged on innovation. The importance of sustainable innovation management in sustainable supply chain management (SSCM) cannot be underestimated. Studies on SSCM have emphasised the need for sustainable innovation in achieving sustainability but none provide deep insights into sustainable innovation management in SSCM implementation. This lack of research depth stimulates this study to identify and investigate criteria for sustainable supply chain management innovation advancement. This paper proposes a sustainable innovation criteria framework for investigating sustainable supply chains in manufacturing companies. To exemplify the applicability and efficiency of the proposed framework, a sample of five Indian manufacturing companies are used to evaluate and prioritise the sustainable innovation management criteria, using the 'best-worst' multi-criteria decision-making (BW-MCDM) model. The criteria weights for all companies from BWM are aggregated, averaged and used for ranking. The respondent managers viewed 'financial availability for innovation' as the most important sustainable innovation sub-criteria. The results of the study will inform industrial managers, practitioners and decision-makers on which criteria to focus on during the implementation stage, to increase sustainability in manufacturing supply chains, and further advance corporate and supply chain sustainable development. The framework may also serve as a theoretical construct for a future empirical study on sustainable supply chain innovation in the manufacturing sector. This paper sets the stage for further research in sustainable innovation practices in the manufacturing sector and its supply chains.
This study identifies a list of barriers that hinders adoption, implementation and upscaling of sustainable supply chain innovation in the manufacturing industry. It further proposes overcoming strategies that seek to aid management decision to dealing with these barriers systematically. A multi-criteria decision analysis method, the Best-Worst Method (BWM), is adopted to aid in the evaluation and prioritization of the barriers and their overcoming strategies within the Indian manufacturing industry, an emerging economy. The results depict that, "lack of technical expertise and training", "lack of R&D and innovation capabilities", "popularity of traditional technology", "high initial investment in latest technology" and "fear of extra workload and loss of flexibility" are the top five barriers that confronts the Indian manufacturing companies in their quest for adopting and implementing sustainable supply chain innovation practices. In addition, the overcoming strategic pathway for dealing with these barriers are provided. The findings provide managerial and policy insights for guiding the formation of strategic operations framework and resource allocation if these Indian manufacturing firms seeks to build sustainability into their supply chain innovations.
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