• Barriers to effective circular supply chain management in a developing country context

      Mangla, S.K.; Luthra, S.; Mishra, N.; Singh, A.; Rana, Nripendra P.; Dora, M.; Dwivedi, Y.K. (2018)
      Circular supply chain (CSC) emphasises surge in application of reuse, recycling, remanufacturing and thereby promotes transformation from linear to circular model of flow of products. Supply chains of manufacturing industries have become global over the years. Products manufactured in developing nations are being sent to developed nations for mass consumption. Developed nations have regulatory policies, technological knowhow and modern infrastructure to adopt CSC model. Their counterpart is trailing in these aspects. In literature, limited work has been performed on identifying challenges of implementing CSC in developing nations. Therefore, employing literature review and feedback received from experts, 16 important barriers were identified to CSC adoption in India. These barriers were analysed using integrated Interpretive Structural Modelling ? MICMAC approach. The findings will contribute in transforming supply chains thereby bringing economic prosperity, addressing global warming and generating employment opportunities. Finally, crucial policy measures and recommendations are proposed to assist managers and government bodies.
    • Barriers to the development of smart cities in Indian context

      Rana, Nripendra P.; Luthra, S.; Mangla, S.K.; Islam, R.; Roderick, S.; Dwivedi, Y.K. (2019-06)
      Smart city development is gaining considerable recognition in the systematic literature and international policies throughout the world. The study aims to identify the key barriers of smart cities from a review of existing literature and views of experts in this area. This work further makes an attempt on the prioritisation of barriers to recognise the most important barrier category and ranking of specific barriers within the categories to the development of smart cities in India. Through the existing literature, this work explored 31 barriers of smart cities development and divided them into six categories. This research work employed fuzzy Analytic Hierarchy Process (AHP) technique to prioritise the selected barriers. Findings reveal that ‘Governance’ is documented as the most significant category of barriers for smart city development followed by ‘Economic; ‘Technology’; ‘Social’; ‘Environmental’ and ‘Legal and Ethical’. In this work, authors also performed sensitivity analysis to validate the findings of study. This research is useful to the government and policymakers for eradicating the potential interferences in smart city development initiatives in developing countries like India.
    • Enablers to implement sustainable initiatives in agri-food supply chains

      Mangla, S.K.; Luthra, S.; Rich, N.; Kumar, D.; Rana, Nripendra P.; Dwivedi, Y.K. (2018-09)
      Due to rapid agricultural industrialization, increased global food demand, and, increasing concerns related to food quality and safety, the concepts of sustainability and supply chain transparency are becoming critically important to the agriculture and agri-food sector. The new focus on sustainability performance objectives emphasizes the effective utilization and consumption of natural resources to balance ecological, economic and societal aspects of agri-food businesses. The management of sustainability adds a new demand on business managers who often have small profits and receive stringent requirements from large powerful customers and retailers. In this paper, we recognize and analyze the key enablers in implementing sustainable initiatives for Agri-Food Supply Chains (A-FSCs). Ten important sustainability driven enablers were considered from a rigorous literature review and phase of expert consultation. The identified enablers were then analyzed using a combined Interpretive Structural Modeling (ISM) - fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) based framework. The ISM approach enabled an appreciation of the contextual relationships among the enablers and to classify the enablers based on their driving and dependence potential. The fuzzy DEMATEL technique supported the determination of the influential and influenced enablers and also to categorize them into cause and effect groups. An empirical case study, drawn from a vegetable and fruit retail supply chain in India, is used to focus and test the applicability of the proposed research framework. The paper facilitates professional management practice and researchers to uncover and explore the enablers for the real execution of sustainability oriented initiatives in the agri-food business sector.
    • Predicting changing pattern: building model for consumer decision making in digital market

      Kumar, A.; Mangla, S.K.; Luthra, S.; Rana, Nripendra P.; Dwivedi, Y.K. (2018-09)
      Consumers have the multiple options to choose their products and services, which have a significant impact on the pattern of consumer decision making in digital market and further increases the challenges for the service providers to predict their buying pattern. In this sense, the purpose of this paper is to propose a structural hierarchy model for analyzing the changing pattern of consumer decision making in digital market by taking an Indian context. Design/methodology/approach: To accomplish the objectives, the research is conducted in two phases. An extensive literature review is performed in the first phase to list the factors related to the changing pattern of consumer decision making in digital market and then fuzzy Delphi method is applied to finalize the factors. In the second phase, fuzzy analytic hierarchy process (AHP) is employed to find the priority weights of finalized factors. The fuzzy set theory allows capturing the vagueness in the data. Findings: The findings obtained in this study shows that consumers are much conscious about innovative and trendy products as well as brand and quality; therefore, the service providers must think about these two most important factors so that they can able to retain their consumer in their online portal. Practical implications: The analysis shows that “innovative and trendy” is the first priority factor for the consumers followed by “brand and quality” and “fulfilment and time energy.” The proposed model can help the marketers and service providers in predicting customers’ preferences and their changing pattern efficiently under vague surroundings. The outcomes of this research work not only help the service provider to update their products and services according to consumers’ needs but can also help them to increase profit and minimize their risk. Originality/value: This work contributes to consumer research literature focusing on problem evaluation in the context of changing pattern of consumer decision making in digital era.