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Article
Publication date: 5 March 2018

Devendra K. Yadav and Akhilesh Barve

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…

825

Abstract

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.

Details

Benchmarking: An International Journal, vol. 25 no. 2
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 11 January 2022

Aditya Kamat, Saket Shanker and Akhilesh Barve

The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are…

455

Abstract

Purpose

The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are significant as they are hindering the incorporation of this new technology into the humanitarian supply chain, thus creating inefficiencies in the humanitarian logistics sector.

Design/methodology/approach

This research is approached using a two-step process. In the first step, the particular barriers for UAV implementation are determined by a literature review and consultation with experts. Next, the proposed framework, a combination of grey-decision-making trial and evaluation laboratory (grey-DEMATEL) and analytic network process (ANP), i.e. g-DANP, is used to determine a hierarchical structure for the factors and sub-factors. The grey hypothesis provides sufficient analytical data to an otherwise lacking DEMATEL technique. Also, the use of ANP gives weightage to each factor, allowing us to categorize their importance further.

Findings

This study reveals that factors like expensive commercial solutions and high transport energy costs are significant factors of the “cause” group, whereas the uncertain cost for maintenance and repair and deficiency of high-level computing are crucial factors of the “effect” category. The mentioned factors, along with many others, are the main reasons for the delayed incorporation of UAVs in humanitarian logistics.

Practical implications

The results of this study present insights for humanitarian supply chain managers, UAV producers and policymakers. Those in the humanitarian logistics sector can use the findings of this study to plan for various challenges faced as they try and implement UAVs in their supply chain.

Originality/value

This research is unique as it analyses the general factors hindering the implementation of UAVs in Indian humanitarian logistics. The study enriches existing literature by providing an analytic approach to determine the weightage of various interrelations between the identified factors affecting UAV incorporation in the humanitarian supply chain.

Details

Journal of Modelling in Management, vol. 18 no. 2
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 29 April 2021

Saket Shanker, Hritika Sharma and Akhilesh Barve

The purpose of this study is to analyse various risks associated with third-party logistics (3PL) in the coffee supply chain and to present a framework that computes the influence…

1618

Abstract

Purpose

The purpose of this study is to analyse various risks associated with third-party logistics (3PL) in the coffee supply chain and to present a framework that computes the influence of these risks on the critical success factors of the coffee supply chain.

Design/methodology/approach

The risks have been identified through a comprehensive literature review and validation by industry experts. The paper utilises an interpretive structural modelling (ISM) methodology for developing a hierarchical relationship among the CSFs. Furthermore, fuzzy MICMAC analysis is carried out to categorise these CSFs based on their driving power and dependence value. The fuzzy technique for order preferences by the similarity of an ideal solution (fuzzy-TOPSIS) approach has been applied to prioritise the risks associated with 3PL based on their ability to influence the CSFs of the coffee SC. Furthermore, we performed a sensitivity analysis to analyse the stability of the results obtained in this study.

Findings

This study illustrates ten risks associated with 3PL and five CSFs in the coffee supply chain. The analysis revealed that coffee enterprises need to develop a balanced pricing strategy to ensure a sustainable competitive advantage, whereas the lack of direct customer communication is the most dominant 3PL risk affecting the CSFs.

Practical implications

This research provides coffee enterprises with a generalised framework with set parameters that can be used to attain a successful coffee supply chain in any developing nation.

Originality/value

The study contributes to the literature by being the first kind of study, which has used fuzzy ISM-MICMAC to analyse the CSFs of the coffee supply chain and fuzzy-TOPSIS for analysing the impact of various risks associated with the 3PL in the coffee supply chain. Thus, this work can be considered a benchmark for future research and advancement in the coffee business field.

Details

Journal of Advances in Management Research, vol. 19 no. 2
Type: Research Article
ISSN: 0972-7981

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Article
Publication date: 19 August 2022

Karthik Bajar, Aditya Kamat, Saket Shanker and Akhilesh Barve

In recent times, reverse logistics (RL) is gaining significant traction in various automobile industries to recapture returned vehicles’ value. A good RL program can lower…

957

Abstract

Purpose

In recent times, reverse logistics (RL) is gaining significant traction in various automobile industries to recapture returned vehicles’ value. A good RL program can lower manufacturing costs, establish a green supply chain, enhance customer satisfaction and provide a competitive advantage. However, reducing disruptions and increasing operational efficiency in the automobile RL requires implementing innovative technology to improve information flow and security. Thus, this manuscript aims to examine the hurdles in automobile RL activities and how they can be effectively tackled by blockchain technology (BCT). Merging BCT and RL provides the entire automobile industry a chance to generate value for its consumers through effective vehicle return policies, manufacturing cost reduction, maintenance records tracking, administration of vehicle information and a clear payment record of insurance contracts.

Design/methodology/approach

This research is presented in three stages to accomplish the task. First, previous literature and experts' opinions are examined to highlight certain factors that are an aggravation to BCT implementation. Next, this study proposed an interval-valued intuitionistic fuzzy set (IVIFS) – decision-making trial and evaluation laboratory (DEMATEL) with Choquet integral framework for computing and analyzing the comparative results of factor interrelationships. Finally, the causal outline diagrams are plotted to determine the influence of factors on one another for BCT implementation in automobile RL.

Findings

This study has categorized the barriers to BCT implementation into five major factors – operational and strategical, technical, knowledge and behavioral, financial and infrastructural, and government rules and regulations. The results revealed that disreputable technology, low-bearing capacity of IT systems and operational inefficiency are the most significant factors to be dealt with by automobile industry professionals for finer and enhanced RL processes utilizing BCT. The most noticeable advantage of BCT is its enormous amount of data, permitting automobile RL to develop client experience through real-time data insights.

Practical implications

This study reveals several factors that are hindering the implementation of BCT in RL activities of the automobile industry. The results can assist experts and policymakers improve their existing decision-making systems while making an effort to implement BCT into the automobile industry's RL activities.

Originality/value

Although there are several studies on the benefits of BCT in RL and the adoption of BCT in the automobile industry, individually, none have explicated the use of BCT in automobile RL. This is also the first kind of study that has used IVIFS-DEMATEL with the Choquet integral framework for computing and analyzing the comparative results of factor interrelationships hindering BCT implementation in automobile RL activities.

Details

Smart and Sustainable Built Environment, vol. 13 no. 1
Type: Research Article
ISSN: 2046-6099

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Article
Publication date: 31 December 2021

Aaditya Jain, Saket Shanker and Akhilesh Barve

The hotel and tourism industry forms a crucial economic sector for all the economies around the world. However, it suffered the worst hit during the COVID-19 outbreak. Considering…

1227

Abstract

Purpose

The hotel and tourism industry forms a crucial economic sector for all the economies around the world. However, it suffered the worst hit during the COVID-19 outbreak. Considering the hotel and tourism sector's critical situation, this manuscript aims to emphasise the importance of resilience in the hotel and tourism supply chain (HTSC) and explores the crucial barriers that tend to disturb the inculcation of stability in the hotel and tourism sector. The present research analyses the factors influencing the hotel and tourism sector's resilience and also takes into consideration the various critical success factors (CSFs) needed to build a resilient HTSC.

Design/methodology/approach

A two-phase research approach has been proposed and used in this study. In the first phase, eight CSFs and sixteen factors influencing the hotel and tourism sector's resilience during the COVID-19 pandemic were identified. The basis of the identification of the CSFs and factors was literature and inputs received from experts. In the second phase, the grey-Entropy-EDAS, a qualitative and quantitative analysis, was used to analyse the identified CSFs and factors to determine the priority of concern.

Findings

In this research, the most imperative facet influencing the hotel and tourism sector's resilience has been identified, and the findings will assist hotel and tourism sector in managing and mitigating the repercussions of the COVID-19 pandemic. The analysis of the results indicates that out of all the critical success factors, supply chain visibility is the most crucial aspect in building HTSC's resilience, whereas economic catastrophe is the most influential factor. Sensitivity analysis is also conducted to examine the priority ranking stability.

Practical implications

The results of this study can be used by the hotel supply chain managers and policymakers to plan for various challenges faced by them as they try to implement resilience-based strategies in their supply chain.

Originality/value

This research is unique as it analyses the general factors hindering the pathway of resilience in the hotel and tourism supply chain. This is also the first kind of study that has used grey-Entropy to analyse the critical success factors and grey-EDAS for analysing the impact of various factors influencing the hotel and tourism sector's resilience.

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Article
Publication date: 19 November 2021

Sumanta Das, Akhilesh Barve, Naresh Chandra Sahu and Devendra K. Yadav

This paper aims to identify, analyze and evaluate the major enablers for the sustainable public distribution system (PDS) supply chain in India in lessening food insecurity by…

289

Abstract

Purpose

This paper aims to identify, analyze and evaluate the major enablers for the sustainable public distribution system (PDS) supply chain in India in lessening food insecurity by distributing essentials food grains at a subsidized rate.

Design/methodology/approach

The major enablers for the sustainable PDS supply chain were explored by conducting the literature survey and discussion with academic and warehouse experts. Then, the fuzzy-DEMATEL (decision-making trial and evaluation laboratory) technique was applied to develop a causal model that analyses the interaction among the identified enablers.

Findings

This study recognizes fifteen enablers through literature survey and experts' opinions. The present work concludes that “proper identification of the PDS beneficiaries” and “willingness and commitment of the top management and policymaker” are the two major enablers for the sustainable PDS supply chain.

Research limitations/implications

This work would be helpful for profoundly understanding the major enablers, and how they are affecting the entire PDS supply chain. The study would be beneficial for the general people and the entire society straightforwardly by providing suggestions for food security.

Originality/value

Identifying and analyzing the major enablers for the sustainable PDS supply chain helps to visualize the problem more effectively and efficiently. Besides, the causal model explains a comprehensive perspective on the identified enablers.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. 13 no. 2
Type: Research Article
ISSN: 2044-0839

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Article
Publication date: 8 February 2021

Saket Shanker, Hritika Sharma and Akhilesh Barve

The restaurant network is reforming rapidly due to the advancements encountered so far in the restaurant–third party logistics (3PL) collaborations. These collaborations resulting…

1696

Abstract

Purpose

The restaurant network is reforming rapidly due to the advancements encountered so far in the restaurant–third party logistics (3PL) collaborations. These collaborations resulting from a strategical partnership between the restaurant and the 3PLs play a significant role in getting a good handle on the web, logistics activities, online business and many more services. Despite the collaborations, 3PL in the restaurant supply chain is associated with many risks that may hamper the supply chain's profitability. In this study, several risks related to 3PL are investigated and analysed.

Design/methodology/approach

Deciding the relative importance of different risks is an intricate errand. The predominance of one risk over the others changes from individual to individual and ?rm to ?rm. Therefore, to catch the changeability in choice, the fuzzy analytical hierarchy process (AHP) is an extremely valuable tool used in this research. In addition to this, fuzzy AHP is incorporated with fuzzy TOPSIS for preference ranking of 3PL risks in the restaurant supply chain and obtain risk index value, which provides an excellent approach to rank the risks. Furthermore, we performed a sensitivity analysis to analyse the stability of the results obtained in this study.

Findings

Results indicate that “macro-level risks” (i.e. the risks associated with 3PL in the restaurant supply chain due to political agitation in the district, cataclysmic events, ailments like COVID-19, bird influenza, etc.) is the most relevant first-level risk with high-risk index as well as high relative weight. As per the analysis of second-level risks, the occurrence of cataclysmic events holds the most elevated risk index value.

Practical implications

This research provides the restaurant industry and the 3PL with a generalized framework with set parameters that can be used to attain a successful 3PL in the restaurant supply chain of any developing nation.

Originality/value

This research proposes an evaluation framework for the risk assessment of third-party logistics in the restaurant supply chain. This paper explores risks for efficient implementation of 3PL in the restaurant supply chain. From a managerial perspective, the rank table is also provided with the goal that mitigation of the risks can be done quickly.

Details

Benchmarking: An International Journal, vol. 28 no. 8
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 17 July 2023

Kunwar Saraf, Karthik Bajar, Aaditya Jain and Akhilesh Barve

This study aims to determine the barriers hindering the incorporation of blockchain technology (BCT) in two key service industries – hotel and health care – as well as to assess…

400

Abstract

Purpose

This study aims to determine the barriers hindering the incorporation of blockchain technology (BCT) in two key service industries – hotel and health care – as well as to assess their readiness for implementing BCT after overcoming the barriers.

Design/methodology/approach

The barriers of this study are determined through two phases: a review of prior literature and obtaining expert opinions, which are then analyzed to identify specific barriers that are impeding the incorporation of BCT. Moreover, to generate a blockchain implementation reluctance index (BIRI), this study presents an interval-valued intuitionistic fuzzy set (IVIFS) that uses graph theory and matrix approach (GTMA). The permanent function in the GTMA approach is computed using the PERMAN algorithm. Finally, to compare the readiness of the hotel and health-care industries to adopt BCT, the BIRI values are plotted and evaluated.

Findings

The barriers identified by this study are listed under five major headings, namely, financial, operational, behavioral, technical and legal. This study revealed that the operational and technical barriers of BCT are critically hindering its widespread integration in hotel and health-care industries. Furthermore, on comparing the BIRI values of both industries, the result suggested that the hotel industry needs to work more on these barriers to effectively incorporate BCT. Besides the comparison, the BIRI values clearly indicate that both industries have to put a lot of effort into the mitigation of the barriers found by this study to successfully integrate BCT.

Research limitations/implications

The experts’ opinions are used to evaluate the identified barriers, which raises the chance that the opinions are prejudiced based on the experts’ perspectives and ideologies. The sensitivity of decision-maker loads toward preference outcomes is not analyzed in this manuscript. Therefore, any recent sensitivity analysis may be considered a prospective field for future research. This study applies a multicriteria decision-making (MCDM) approach, IVIFS–GTMA, which limits the evaluation of the influence caused by individual barriers on the integration of BCT in the hotel and health-care industries. Henceforth, in future investigations, alternative MCDM methods may be used to analyze individual barriers.

Practical implications

According to the findings, if the hotel or health-care industry aims to incorporate BCT in its supply chain operations, it is recommended to emphasize more on the operational barriers along with the technical and behavioral barriers. The barriers mentioned in this manuscript can be used as guidance for developers in their development activities, such as scalability concerns, establishment costs, the 51% attack and the inefficient nature of BCT. Furthermore, they may address the potential users’ negative perceptions about security, privacy, trust and risk avoidance through creatively developed blockchain solutions to promote BCT implementation.

Originality/value

To the best of the author’s knowledge, this is the first study that identifies barriers toward BCT incorporation in the major service industries, i.e. hotel and health care. Moreover, this is the first study that compares the preparedness of the hotel and health-care industries to determine the industry that requires more work to implement BCT.

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Article
Publication date: 28 January 2022

Charvi Arora, Aditya Kamat, Saket Shanker and Akhilesh Barve

The main intention of this paper is to analyze various factors hindering the growth of the agricultural supply chain and several industry 4.0 technologies to eliminate the same…

1292

Abstract

Purpose

The main intention of this paper is to analyze various factors hindering the growth of the agricultural supply chain and several industry 4.0 technologies to eliminate the same. In addition to a detailed assessment on the implementation of these technologies in agriculture, this manuscript also presents a priority list providing a rank to them based on the relative efficiency of these advancements in addressing these obstacles.

Design/methodology/approach

This research proceeds with a two-step process. The particular barriers in the agriculture supply chain and industry 4.0 technologies are determined in the first step. Next, the proposed framework, a combination of data envelopment analysis (DEA) and analytic hierarchy process (AHP), i.e. DEA-AHP, is used to determine a hierarchical structure for the factors and the relative productive efficiencies of the alternatives. The DEA methodology gives a performance analysis of various decision-making units. At the same time, AHP helps in evaluating alternatives weights based on numerous criteria, allowing us to categorize their importance further.

Findings

This study reveals how the involvement of technological advancements in agriculture can help manage the supply chain more efficiently. It also justifies how the large quantities of data generated can handle these increasing challenges in the agricultural supply chain.

Practical implications

The results of this study provide a priority list of alternatives based on their final weights. This ranking system can help farmers and the government select the best-suited technology for bringing automation into the agricultural supply chain.

Originality/value

This research is unique as it analyes the general factors hindering the development of the agriculture supply chain while simultaneously providing a list of alternatives based on their relative efficiencies. The study enriches existing literature by providing an analytic approach to determine the weightage of various critical success factors that can help improvise and entrust the real and undeniable requirements of consumers, suppliers and producers.

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Article
Publication date: 21 October 2013

Akhilesh Barve and Kamalakanta Muduli

Green supply chain management (GSCM) has received growing attention in the last few years. Almost all industries including mining industries are hit by green fever. In this…

2601

Abstract

Purpose

Green supply chain management (GSCM) has received growing attention in the last few years. Almost all industries including mining industries are hit by green fever. In this context, this study aims to identify various challenges faced by the Indian mining industries during GSCM implementation and practices and to represent in a hierarchical manner.

Design/methodology/approach

Various barriers and contextual relationships among them have been identified. Classification of barriers has been carried out based upon dependence and driving power (DP) with the help of MICMAC analysis. In addition to this, a structural model of the barriers to GSCM practices in Indian mining industries has been put forward using interpretive structural modelling (ISM) technique.

Findings

In the present work, 11 numbers of relevant barriers have been identified from literature and subsequent discussions with experts from academia and industry. Lack of environmental awareness, poor legislation and inadequate pressure from societies positioned at the bottom of the hierarchy are found to be the key barriers. These barriers have high DP and less dependence.

Research limitations/implications

A model of these barriers has been developed based upon expert's opinions and literature survey. This model is not statistically validated. This model also does not quantify the adverse effect of each of the variables on GSCM practices in Indian mining industries.

Practical implications

The development of a hierarchy helps in the classification and categorization of the barriers, and thereby formulates their respective strategies and policies while providing clarity of thought. Also this hierarchy facilitates the allocation of resources in a rational manner at the time of scarcity of resources and to achieve the maximum benefits of the available resources.

Originality/value

The structured model developed will help to understand interdependence of the barriers. Using ISM, this paper has developed a hierarchy of these barriers which is useful to identify the hierarchy of actions to be taken for handling different barriers.

Details

Journal of Manufacturing Technology Management, vol. 24 no. 8
Type: Research Article
ISSN: 1741-038X

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