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Humanitarian supply chain management (HSCM) in today’s environment faces the challenges such as information availability, inventory management, collaboration, logistics related issues and preparedness. The purpose of this paper is to evaluate the HSCM performance, considering the consequences in terms of operation, recovery and responsiveness based on the fuzzy estimates of the components presented.

In the study, triangulation approach was adapted for collecting data and developing a hierarchical structure for humanitarian supply chain performance assessment. The relationships between HSCM performance and its suddenness and required preparedness are depicted by cause and effect diagrams. The concepts of fuzzy association and fuzzy composition are applied to identify relationships.

In the hierarchy presented, the performance in a disaster situation, preparedness and suddenness of the situation and factors that influence the above are modeled. The taxonomy is developed for describing the relationship between factors, their likelihoods and impacts to achieve consistent quantification.

The study considers case studies from Indian conditions; however, conditions in other countries and their practices for the disaster management may vary to certain extent.

A methodology presented for evaluating the exposures in considering the consequences in terms of responsiveness, operations, recovery, mitigation and emergency response. The study may help the humanitarian relief practitioners to understand the insights of the disaster situations using the proposed framework.

A common language for describing the different factors of HSCM is presented, which includes terms for quantifying likelihoods and impacts. The concept of fuzzy association and fuzzy composition has been applied to identify relationships between sources and consequences on HSCM performance. The use of descriptive linguistic variables is ensured through the implementation of fuzzy logic.

This study aims to determine the factors influencing consumers’ organic food purchase intention during Covid-19 and how Covid-19 impacted these factors. Understanding these factors will assist marketers in making strategic decisions on how to market their products during a crisis.

This study used a quantitative approach. Data were collected online from 278 organic food consumers based in India. The partial least squares-path modelling method was used for data analysis.

The results revealed that Covid-19 has substantially impacted consumers' health consciousness, environmental concern, availability, price and intention to buy organic food. This study also revealed that health consciousness, environmental concerns and availability of organic food affect consumers’ purchase intention even during the Covid-19. However, it has been found that price consciousness does not influence consumers’ purchase intention during Covid-19.

Marketers should come up with innovative promotional strategies. Providing information related to quality checks on packages, expanding online sales channels, boosting promotional activities and emphasising the long-term benefits of organic food items should be the go-to marketing strategy of organic food.

The study adds value to the extant literature by examining consumers' purchase intention towards organic food using more customised and thorough constructs that appear to be more practical during the challenging times of Covid-19 and whose findings are not restricted by some pre-established theoretical assumptions.

To enhance the transparency of the supply chain and ensure proper dissemination of information among the supply chain members in a timely manner, more and more companies are implementing supply chain information system (SCIS). Often the challenge among the organizations is how to go for a proper SCIS implementation and to identify the key performance indicators (KPIs) to evaluate the SCIS. The purpose of this paper is to provide a framework to evaluate the KPIs for SCIS of SCISs implementation from user’s perspectives.

In this paper, 16 KPIs were identified based on extensive literature survey. A fuzzy analytic hierarchy process (AHP) model is constructed to measure the users’ perceived importance and satisfaction for the KPIs. Subsequently, based on these two measurements, an importance-performance analysis (IPA) model along with a customer satisfaction attitude (SA) index is developed to categorize and prioritize the KPIs. As an empirical study, SCIS users across five industries belonging to different sectors were investigated to validate the model.

An IPA model along with a customer SA index is developed based on a fuzzy AHP model to evaluate the KPIs and provide the priorities of their improvement. Based on this result, some management implications and suggestions are proposed.

The study was limited to five organizations. More representative samples which can be sector specific can ensure better confirmation of the empirical results.

The KPIs identified in the research indicate the nature and dynamics of a complex SCIS implementation. It can serve as a checklist of areas that require attention when implementing a SCIS. The KPIs are presented through grouping in a systemic way. The development of the SAs in IPA model using fuzzy AHP is a novel approach.

Perceived risk and benefits have been proposed as crucial elements in consumers’ technology adoption intention. Therefore, this study aims to use the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, with perceived risks and benefits, to explore how they affect consumers’ Buy-Now-Pay-Later (BNPL) behavioural intention.

An online survey was conducted among 537 users of BNPL. Partial least square structural equation modelling analysis was performed to examine the hypothesized relationships.

The study found that perceived benefits, performance expectancy, effort expectancy, habit and social influence increase consumers’ behavioural intention towards BNPL. In contrast, perceived risk reduces the consumer’s intention to use. Additionally, the study revealed that consumers’ intention towards BNPL services positively affects their usage.

The lack of information makes consumers hesitant to use BNPL. Therefore, marketers should optimize facilitating conditions, such as user-friendly interfaces, accessible resources and efficient customer support, which should be the business strategy of BNPL service providers to ensure a seamless user experience.

The research empirically investigates the effect of perceived benefits on consumer behavioural intention. This contribution is crucial because while there was speculation about benefits as a driving force to consumers’ adoption intention, there was a lack of sufficient empirical evidence to support it.

The purpose of this paper is to identify various issues and challenges humanitarian supply chain faces on the ground level. The paper aims at defining the major problems and searching for their possible solutions with the help of available literature and interaction of ground level experience.

The authors focus on building a theory and propose solutions for the real time problems faced in the disaster environment. To solve its purpose, besides taking the insights from available and relevant literature, paper has followed ground level experience of the concerned people in supply chain as well. Authors have quoted the real time examples and statements in order to make the situation more clear and precise.

Humanitarian relief supply chain in today’s environment often confronts the challenges such as information availability, inventory management, collaboration, logistics related issues, preparedness etc. The study explores various challenges. After searching roots of these challenges in literature it proposes some considerable solutions which can be further studied for their validity, acceptability and implementation.

The research has considered only the natural disasters and not the manmade ones. It has also taken examples from Indian conditions. However, the conditions in other countries and their practices for the disaster management may vary to certain extent. There are many disasters such as volcanos which do not have a historical record of striking in Indian conditions which confine the authorities to disaster specific practices.

The research initiates further work in this area on various issues explored in the study. There is scope of separate attention on each of the issues discussed. The study will help the humanitarian relief practitioners to understand the insights of disaster situations. It will convince the practitioners and future researchers on focusing and analyzing the proposed frameworks.

The paper presents issues from real time situations at the ground level in humanitarian relief environment. With the help of literature authors have tried to conceptualize these issues and their “can be” solutions.

Vocational education and entrepreneurship are constantly increasing in research fields. However, what is the current state of vocational education and entrepreneurial research? Where will the area go next? These questions are still unanswered; thus, this study tries to map the research landscape of the study area to get insights and provide directions for future research.

This research collected extant literature on vocational education and entrepreneurship using Scopus scientific database. Bibliometric analysis has been performed to extract insights from 175 documents published in the study area. Content analysis on the extant literature has also been committed to getting contextual information and developing an integrated research framework for future researchers.

The bibliometric analysis revealed that training, career choice, curriculum, self-employment, student psychology, better job opportunity, learning environment and innovation are the most discussed in the vocational education and entrepreneurship literature. Developed nation’s strong presence, indicated by the number of publications in the field.

This study significantly contributes to entrepreneurship by disclosing advances in the literature and some of the most active research fronts in this sector, delivering insights that have yet to be wholly appreciated or appraised. The study also developed an integrated framework that could benefit various vocations, education and entrepreneurship stakeholders.

Buy-now, pay-later (BNPL) services can put consumers into a debt trap by encouraging consumers to buy things they cannot afford, leading to a culture of materialism and consumerism. Therefore, this research aims to investigate how materialism can influence BNPL use and impulsive and compulsive buying. Additionally, the authors examine if BNPL use and impulsive buying mediate between materialism and compulsive buying.

Data from 556 participants were collected through a structured questionnaire via an online survey. Structural equation modeling (SEM) using SMART PLS 4 was employed to analyze the relationship between variables and to test the proposed hypotheses.

Materialism impact BNPL use and increases the inclination for impulse buying, precipitating compulsive buying behavior. However, BNPL use does not directly influence compulsive buying. The mediating relationship was identified, where BNPL use, and impulsive buying mediate the relationship between materialism and compulsive buying.

BNPL use alone does not inevitably lead to compulsive buying. The only way BNPL use could lead to compulsive buying is through impulsive buying. Therefore, BNPL service providers need to foster responsible buying habits due to the rise in impulsive buying, which, if not controlled, could lead to a debt trap resulting from compulsive buying.

This study contributes to the limited BNPL literature because there is speculation, but the scarcity of empirical evidence to substantiate, how materialism influences BNPL use and increases the inclination for impulse buying, precipitating compulsive buying behavior.

The present research paper is an attempt to study how COVID-19 can affect the global sourcing practices of various supply chain intermediaries across the demand chain. This study aims to explore and is an attempt to understand the overall impact of COVID-19 on the sustainable operations of the firm such as sourcing, procurement, economic performance, social responsibility, consumption and distributions.

This study uses a quantitative technique using data collected from 708 respondents. Structural equation modeling (SEM) has been applied to test the proposed model and hypothesis.

The findings of the study suggest that sourcing practices, distribution and sustainability considerations of manufacturers, suppliers, distributors and retailers are affected by COVID-19 to a great extent but the pandemic has also led to making supply chain intermediaries understand the changing dynamics of the business scenario which can help them in their own strategic and business evolution.

The current disruptions throughout global delivery chains caused by COVID-19 affect badly, the already poor-performing supply chains. Hence, the present study provides fresh insight on how organizations can limit the ill effects of COVID-19 by safeguarding some of their key sustainable operations in a post-pandemic business scenario.

The present study takes into consideration how core supply functions such as sourcing, distribution and manufacturing and various sustainable operations are disrupted by pandemic and its after-effects. This knowledge base can help business organizations to mitigate such problems/disruptions in the future.