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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.

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.

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.

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.

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.

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.

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.

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.

This study provides useful implications for the researchers working on exploring the role of KM enablers in improving the logistics capabilities of organisations.

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.

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.

The purpose of this paper is to explore the barriers to sustainable tourism management (STM) implementation in a protected area (PA) of a developing country, India, by taking a case study of National Chambal Sanctuary (NCS).

This study develops a framework to analyse the interaction among a set of barriers of STM using the interpretive structural modelling approach.

In this study, 16 relevant barriers responsible for the failure of STM in Indian scenario have been selected. The lack of coordination among various stakeholders and the lack of government incentives are found as the most significant barriers among the selected barriers of STM implementation in the sanctuary.

This study provides most influencing barriers and how these barriers hinder the sustainability efforts in NCS. The study’s main limitation is its generalisation. The problems in implementing sustainable practices may differ with the region.

This study provides strong practical inferences to both practitioners as well as academicians. The practitioners are suggested to focus on identified barriers and formulating strategies to achieve sustainability in the tourism sector. Academicians may propose the solutions and necessary interventions for identified barriers.

Identification and presentation of barriers to STM implementation in the context of a PA are rare to find in literature.

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.

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.

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.

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.

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.

The study aims to investigate the consumers' behavioral intention toward green hotels. The tendency of individuals to afford green hotels is further escalating with progressing coronavirus disease-2019 (COVID-19) pandemic recurring waves. The increased worry of consumers toward health, hygiene and the climate is acquiring momentum and transforming how consumers traditionally perceive green hotels.

The study has recommended an integrated framework incorporating various research fields as attitude-behavior-context theory, theory of planned behavior (TPB) and moderating influences to study the associations among the antecedents of consumers' behavioral intention toward green hotels. The study comprised the participation of 536 respondents residing in the Delhi and National Capital Region (NCR) of India. The data analysis strategy involved the use of structural equation modeling (SEM) analysis to test the proposed research framework.

The results and findings of the study indicated a significant influence of fear and uncertainty of the COVID-19 pandemic and environmental concern on green trust. The results also revealed the considerable impact of green trust on willingness to pay premium, attitude and subjective norms, which significantly influenced behavioral intention. The analysis also revealed the moderating influence of environmental concern in the relationship of green trust and behavioral intention.

The study has recommended significant theoretical. The theorists may use this research framework to analyze better the transforming consumer behavior trends toward green hotels in the ongoing fearful and uncertain COVID-19 pandemic scenario.

The study has recommended significant managerial implications. The industry practitioners may also utilize the framework to sustain the hotel business and bring new strategic insights into practice to combat the impact of the pandemic and simultaneously win consumers' trust in green hotels.

Although the researchers have previously emphasized consumers' intention toward green practices embraced by hotels, the impact of the COVID-19 pandemic on the green hotel industry gained noticeable attention from researchers. Furthermore, there is a scarcity of literature providing insights on the behavioral dynamism of hotel customers' trust, attitude and willingness to pay for green hotels during the repetitive waves of the COVID-19 pandemic. The study will support the existing literature gap by enlightening the associations among the various antecedents of green hotels' behavioral intention, COVID-19 and environmental concern.

The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph.

This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence.

This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence.

This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals.

By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.

This study aims to present insights on the relationship between perceived software process improvement (PSPI) and information technology (IT)-enabled knowledge management (KM). Moreover, the study provides an understanding of the mediating effect of critical success factors (CSFs) for effective IT-enabled KM on the previously mentioned relationship.

The respondents in the study involved employees in the software engineering (SE) organizations in national capital region in India. The structured equation modeling technique carried out through IBM.SPSS.Amos.v21-EQUiNOX was used to develop and evaluate the proposed framework. The proposed hypothesis testing has been carried out by path analysis using SPSS process macro.

The findings of the empirical study reveal that a significant relationship exists between the variables under investigation. Moreover, it was observed that CSFs act as a mediator between PSPI and IT-enabled KM. The identified factors are associated with various aspects as managerial, infrastructure, financial, systems and processes for IT-enabled KM. IT acts as a moderator between KM and PSPI and facilitate the various phases of KM as knowledge creation, storage and retrieval, sharing and application of knowledge.

The present study introduces a framework for identifying and applying the CSFs that influence the KM initiatives for PSPI in an SE organization. The practitioners can use the CSFs for assessing the performance (strengths and weaknesses) in process of software development and KM practices. Researchers can use the resultant framework proposed in the empirical study for PSPI, IT-enabled KM, and in academia, the framework supports to organize the study of IT-enabled KM for PSPI.

The general comprehension of the relationship between IT-enabled KM and PSPI for Indian SE organizations is scarce in the literature. Following, the analysis expands the earlier research by exploring the mediating role of the CSFs and the moderating effect of IT for KM and PSPI relationship.

The purpose of this paper is to describe the synthesizing of polyesteramide (PEA) resins using an acid functional acrylic copolymer (ACR) and hydroxy ethyl fatty amide (HEFA) of dehydrated castor oil (DCO) and to study the effect of HEFA on the performance properties of the coating films of PEA resins.

The PEA resins are synthesised by using ACR (synthesised by using butyl methacrylate (BMA) and maleic anhydride (MA)), and HEFA. Different formulations are developed by using ACR and HEFA. The coatings are made using xylene/acetone as a solvent. These coatings are applied on mild steel panels and are cured at 110°C. Various mechanical, optical and chemical properties of the coating films are evaluated.

The study reveals that, HEFA of DCO is used successfully as a cross‐linking agent for the ACR to form the PEA resins. Incorporation of long chain fatty acid (C₁₈) moieties of the fatty amide in the PEA resins backbone is thought to serve as flexibliser, which lead to improved mechanical and chemical properties of the films. The optimum results are obtained from composition three of copolymer A having (3:1) (ACR:HEFA) molar ratio.

The PEA resins synthesised here are made up of ACR (synthesised by using BMA and MA), and HEFA of DCO. Besides, this ACRs can be synthesised from acrylic acid. In addition to this, one can also use HEFA synthesised from other oils.

This method provides a simple solution for the synthesis of PEA resins and resulting to their improved mechanical properties. The developed product is also an environment friendly product.

The method developed here for the synthesis of PEA resins form ACRs and HEFA is unique and can be used as an effective surface coating material. These studies will help to develop low volatile organic compounds product which could find numerous industrial applications in surface coatings for metal surfaces.

The purpose of this study is to examine the factors influencing the adoption and utilization of the online examination portal (OEP) in Indian universities. This study combines the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task Technology Fit (TTF) to explain the user's intention to use an OEP at an Indian University.

This study's methodology combines UTAUT as a theoretical framework with TTF. It is conceptualized that TTF has a moderating effect on UTAUT's primary construct. The authors collected the data from 182 graduate students from an Indian university. PLS-SEM is used to identify the causal relationship between the constructs using the structural equation modeling (SEM) technique.

The findings will demonstrate the applicability of the constructs of performance expectancy, effort expectancy and facilitating conditions in influencing the usage intention and behavior of students towards OEP. The outcome will also demonstrate the moderating effect of TTF on the predictors of intention to use OEP at an Indian University.

The sample respondents who participated in the study are students at the Indian University in Pune. The selection of samples was based on convenience sampling. Future research should be conducted at a variety of geographic locations, educational levels, undergraduate and graduate schools, as well as multiple universities. To increase the objectivity of sample selection, the probabilistic sampling method can be used to select samples. For future studies, larger sample sizes (more than 182) can be collected in order to increase the generalizability and applicability of the findings to other developing markets.

The study will aid Indian universities in enhancing the effectiveness of OEP. The study will also demonstrate the users' perception of the portal and their willingness to use it. It will also assist the university administration in finalizing the examination portal's implementation strategy.

Very few studies have been published on the factors influencing the acceptance and utilization of specific online examination systems. To address this underrepresentation, the current article investigates the factors and criteria that influence students' intent to use the OEP. The authors conceptualize the model using UTAUT as a theoretical foundation, which is absent from the published literature on the OEP. The study incorporated UTAUT and TTF to determine the impact on OEP usage and intent. In addition, the study contributes by testing the moderating effect of TTF on the UTAUT variables that influence the intention to use OEP.

The purpose of this study was to develop functional emu meat nuggets incorporated with finger millet flour (FMF) with high fibre content and improved oxidative stability.

FMF was incorporated at 4, 6 and 8 per cent levels with replacement of emu meat in nuggets formulation and on the basis of various physico-chemical, instrumental colour and sensory parameters, 6 per cent FMF was selected as optimum. The functional emu meat nuggets incorporated with optimum level of FMF as well as control were aerobically packaged in low density polyethylene (LDPE) bags and stored for 21 days at refrigeration (4 ± 1°C) and evaluated for oxidative stability, microbiological quality and sensory attributes at regular interval of 7 days.

The fat content showed significant (p < 0.05) decrease, whereas the crude fibre content increased significantly (p < 0.05) with the increasing levels of incorporation. The sensory scores for all the attributes in 6 per cent FMF-incorporated product were higher than control. During entire storage studies, the thiobarbituric acid reactive substances (TBARS), free fatty acid and peroxide value followed an increasing trend for control as well as treatment product; however, treatment showed a significantly (p < 0.05) lower value than control throughout the storage period. Standard plate count increased significantly (p < 0.05) for control and treatment product, but the counts were lower than the prescribed limits even on 21st day of storage.

The developed products will have functional value by increasing the calcium and dietary fibre content by utilizing the minor cereals. This will be highly beneficial to both the agriculture and meat industry.

The research findings demonstrated the use of FMF in the development of calcium- and fibre-enriched emu meat nuggets with improved oxidative stability.