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Purpose This study aims to identify and analyse the main enablers of knowledge management (KM) in improving the logistics capabilities of Indian organisations and develop a model based on the contextual relationship among the identified enablers. Design/methodology/approach Initially, this study uses a systematic literature review and questionnaire-based survey approach to identify the enablers of KM; and later, total interpretive structural modelling (TISM) was used to evolve mutual relationships among the identified 11 enablers for developing a hierarchical model. Findings The results of the analysis show that enablers, namely, organisational structure and leadership, application of advanced information and communication system, collaboration with established stakeholders and organisational learning and innovative approaches are identified as main enablers for improving the logistics capabilities of Indian organisations. Research limitations/implications This study provides useful implications for the researchers working on exploring the role of KM enablers in improving the logistics capabilities of organisations. Practical implications This study provides rich practical implications for the manufacturers, supply chain managers, logistics service providers and logistics consultants involved in the decision-making process. They can focus majorly on knowledge creation and knowledge storage processes to improve the logistics performance of their respective organisations. Originality/value This study is an attempt to identify the enablers of KM that could improve the logistics capabilities of Indian organisations. The application of the TISM method to develop a theoretical framework is the novel contribution of this study.

Purpose The purpose of this paper is to explore and analyse the critical success factors (CSFs) of humanitarian supply chains in mitigating the impact of cyclones in the Indian context using the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach. Design/methodology/approach The selection of CSFs of humanitarian supply chains has been done through several secondary sources and discussion with 12 disaster experts. Thereafter, DEMATEL, an expert judgement-based technique, has been used for selecting, building and analysing a structural model that involves causal relationships between the set of identified CSFs. Furthermore, to accommodate the vagueness involved in human judgement, fuzzy logic is incorporated with the DEMATEL. Findings Based on a literature survey and expert judgement, total 16 CSFs of humanitarian supply chains have been segmented into cause and effect groups based upon their relative influencing scores. The analysis shows that the out of 16 CSFs, ten CSFs have been categorised into cause group CSFs and six as the effect group CSFs. Practical implications The findings of this study will help disaster management institutions, humanitarian agencies, logisticians, NGOs and cyclone-prone countries to improve the critical ingredients in designing and executing an effective cyclone response operation. Originality/value In this study, fuzzy DEMATEL has been applied to identify and analyse the CSFs of humanitarian supply chains for the cyclone disaster response in the Indian context, which is a novel contribution widening the existing knowledge in humanitarian relief domain.

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