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PurposeStrategic integration of enablers and the realization of drone delivery benefits emerge as essential strategies for business organizations to enhance operational efficiency and stay competitive in last-mile logistics. This paper aims to explore the benefits of drone-based last-mile delivery in the Indian logistic sector by providing a framework for ranking drone delivery benefits (DDBs) due to the adoption of its enablers.Design/methodology/approachThis study proposes a novel hybrid framework applied in the Indian logistic sector by integrating a sentence boundary extraction algorithm for extracting benefits from literature, a spherical fuzzy analytical hierarchy process (SF-AHP) for evaluating primary enablers, unsupervised fuzzy C-means clustering (FCM) for clustering benefits and a spherical combined compromised solution (SF-CoCoSo) for ranking benefits with respect to primary enablers.FindingsThe results reveal that technological and infrastructure enablers (TIE), government and legislation enablers (GLE) and operational and service quality enablers (OSE) are the most significant enablers for drone implementation in logistics. Top-ranked benefits increase the efficiency of last-mile delivery (DDB10), foster supply chain management and logistic sustainability (DDB16) and increase delivery access to rural area and vulnerable people (DDB17).Practical implicationsThis research assists scholars, entrepreneurs and policymakers in the sustainable deployment of drone delivery in the logistics sector. This study facilitates the use of drones in delivery services and provides a foundation for all stakeholders in logistics.Originality/valueThe assessments involve considering judgment from a highly knowledgeable and experienced group in India, characterized by a large volume of inputs and a high level of expertise.
PurposeStrategic integration of enablers and the realization of drone delivery benefits emerge as essential strategies for business organizations to enhance operational efficiency and stay competitive in last-mile logistics. This paper aims to explore the benefits of drone-based last-mile delivery in the Indian logistic sector by providing a framework for ranking drone delivery benefits (DDBs) due to the adoption of its enablers.Design/methodology/approachThis study proposes a novel hybrid framework applied in the Indian logistic sector by integrating a sentence boundary extraction algorithm for extracting benefits from literature, a spherical fuzzy analytical hierarchy process (SF-AHP) for evaluating primary enablers, unsupervised fuzzy C-means clustering (FCM) for clustering benefits and a spherical combined compromised solution (SF-CoCoSo) for ranking benefits with respect to primary enablers.FindingsThe results reveal that technological and infrastructure enablers (TIE), government and legislation enablers (GLE) and operational and service quality enablers (OSE) are the most significant enablers for drone implementation in logistics. Top-ranked benefits increase the efficiency of last-mile delivery (DDB10), foster supply chain management and logistic sustainability (DDB16) and increase delivery access to rural area and vulnerable people (DDB17).Practical implicationsThis research assists scholars, entrepreneurs and policymakers in the sustainable deployment of drone delivery in the logistics sector. This study facilitates the use of drones in delivery services and provides a foundation for all stakeholders in logistics.Originality/valueThe assessments involve considering judgment from a highly knowledgeable and experienced group in India, characterized by a large volume of inputs and a high level of expertise.
SummaryNowadays, the adoption of digital technologies getting a significant pace. It has the potential to improve the existing dynamics of the food supply chains and improve its transparency. Many times, uncertainties prevail in the food supply chain performance systems, which cause amplification of risk. These uncertainties are due to a lack of product traceability mechanisms in the food supply chains. Hence, it becomes vital to harness the potential of digital technologies like the Internet of Things, Blockchain, and common digital platforms to improve the flow of information and products in the food supply chain. The presented work is aimed at assessing the impact of digital technologies on risk identification and its mitigation in the food supply chain dynamics. For the same, risks are assessed relative to its mitigation strategy by the two‐stage methodology of preference rating approach. Here, the impacts of risk under consideration are quantified relative to every risk mitigation strategy for a better depiction of the potential of digital transformation of the food supply chain. It yields the broadening of its implication perspectives at operational, strategic and tactical levels of the food supply chain and makes them future‐ready.
Digital supply chain management generate competitive advantage by enabling companies to become more efficient and transparent in compliance with technological developments at every stage of the supply chain by meeting customer needs better. However, enterprises may encounter various barriers in the digitalization of the supply chain. The aim of the study is to identify the barriers encountered in the digital transformation of the supply chain and to discuss solutions or solving these barriers. Themes were obtained by content analysis from the data collected by in-depth interview method from industry professionals.
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