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This study seeks to determine the effect of sustainable practices on willingness to pay a price premium (WTPP) in the hotels and resorts in the Fiji islands. It will also assess how implementing these sustainable practices influences guest re-visit intentions.

A qualitative research technique was used which included in-depth interview sessions with ten Fijian resort managers and 15 hotel guests. The website of Etic Hotels was also used to gather data about the green practices provided by resorts and hotels. A non-random purposive sampling method was used to select respondents.

Results indicate that implementing sustainability practices has significantly and positively affected guest intentions to return to Fijian Hotels and resorts. The results also demonstrated that customers are willing to pay a higher price for the use of environmentally friendly practices in Fiji's hotels and resorts.

Though a few studies have been conducted examining the linkages between sustainable practices and the Fijian hotel industry, this article is a novel exploration of the use of sustainable practices in hotels and resorts and how they influence guest re-visit intentions and WTPP in Fiji Islands.

This research is about embedding service-based supply chain management (SCM) concepts in the education sector. Due to Canada's competitive education sector, the authors focus on Canadian universities.

The authors develop a framework for evaluating and forecasting university performance using data envelopment analysis (DEA) and artificial neural networks (ANNs) to assist education policymakers. The application of the proposed framework is illustrated based on information from 16 Canadian universities and by investigating their teaching and research performance.

The major findings are (1) applying the service SCM concept to develop a performance evaluation and prediction framework, (2) demonstrating the application of DEA-ANN for computing and predicting the efficiency of service SCM in Canadian universities, and (3) generating insights to enable universities to improve their research and teaching performances considering critical inputs and outputs.

This paper presents a new framework for universities' performance assessment and performance prediction. DEA and ANN are integrated to aid decision-makers in evaluating the performances of universities.

The findings suggest that higher education policymakers should monitor attrition rates at graduate and undergraduate levels and provide financial support to facilitate research and concentrate on Ph.D. programs. Additionally, the sensitivity analysis indicates that selecting inputs and outputs is critical in determining university rankings.

This research proposes a new integrated DEA and ANN framework to assess and forecast future teaching and research efficiencies applying the service supply chain concept. The findings offer policymakers insights such as paying close attention to the attrition rates of undergraduate and postgraduate programs. In addition, prioritizing internal research support and concentrating on Ph.D. programs is recommended.

The aim of this study is to evaluate Big Data Analytics (BDA) drivers in the context of food supply chains (FSC) for transition to a Circular Economy (CE) and Sustainable Operations Management (SOM).

Ten different BDA drivers in FSC are examined for transition to CE; these are Supply Chains (SC) Visibility, Operations Efficiency, Information Management and Technology, Collaborations between SC partners, Data-driven innovation, Demand management and Production Planning, Talent Management, Organizational Commitment, Management Team Capability and Governmental Incentive. An interpretive structural modelling (ISM) methodology is used to indicate the relationships between identified drivers to stimulate transition to CE and SOM. Drivers and pair-wise interactions between these drivers are developed by semi-structured interviews with a number of experts from industry and academia.

The results show that Information Management and Technology, Governmental Incentive and Management Team Capability drivers are classified as independent factors; Organizational Commitment and Operations Efficiency are categorized as dependent factors. SC Visibility, Data-driven innovation, Demand management and Production Planning, Talent Management and Collaborations between SC partners can be classified as linkage factors. It can be concluded that Governmental Incentive is the most fundamental driver to achieve BDA applications in FSC transition from linearity to CE and SOM. In addition, Operations Efficiency, Collaborations between SC partners and Organizational Commitment are key BDA drivers in FSC for transition to CE and SOM.

The interactions between these drivers will provide benefits to both industry and academia in prioritizing and understanding these drivers more thoroughly when implementing BDA based on a range of factors. This study will provide valuable insights. The results from this study will help in drawing up regulations to prevent food fraud, implementing laws concerning government incentives, reducing food loss and waste, increasing tracing and traceability, providing training activities to improve knowledge about BDA and focusing more on data analytics.

The main contribution of the study is to analyze BDA drivers in the context of FSC for transition to CE and SOM. This study is unique in examining these BDA drivers based on FSC. We hope to find sustainable solutions to minimize losses or other negative impacts on these SC.

The chapter discusses how adolescents are moving beyond the dichotomy of biological and linguistic socialization, forming interpretive meanings at home through the reading of literature in their mother tongue, Bengali. Involving cultural relevance and non-vulnerability, the chapter conceptualizes “leisure activities” and “leisure pursuits” of reading practice of the IXth and Xth graders from both Bengali and English medium schools in Kolkata. The discussion from the theoretical construction mentions the further conceptualization of reading habits and language choice. This is where adolescents derive their agency. Adolescents from the Indian and especially from the Bengali perspective have a path of colonial discourse. From historical standpoint, the change in Bengali language and its grammar structure has influenced the acceptance of Bengali literature among adolescents in varying degrees through generations. Using mixed methods and content analysis, the chapter focuses on young teenagers’ narration on the way they maneuver curriculum and literature in their respective homes. Authors, for example, Sunil Gangopadhyay, Satyajit Ray, and Bibhutibhushan Bandyopadhyay, form the Bengali identity construction in the present time. Rabindranath Tagore’s, Sarat Chandra Chattopadhyay’s and Bankim Chandra Chatterjee’s works are always prevalent in the Bengali language syllabus. These are considered the foundational modern literary figures of pre-independent India. These are taught from a nationalist and gender discourse perspective. The adolescents in this chapter also read those at a minimum level at home and attempt to juggle the difficult vocabulary involved. The simple language of post-independent literature is much sought after by teenagers compared to pre-independent literature. Sunil Gangopadhyay’s Kakababu series, Satyajit Ray’s Feluda and Professor Shanku series, and Bibhutibhushan Bandopadhyay’s Chander Pahar stand out among the adolescents from both English and Bengali medium unanimously in this chapter.

There have been plans to merge UCO Bank with larger banks owing to its poor performance for many years. There were leaders in the history who had not been committed. The inadequate governance of the bank has been responsible for some of the major lapses. Mr. Arun Kaul took strategic initiatives and systematically strengthened the functioning of the board. It enabled the bank to turnaround and report profits in challenging economic conditions. The Bank is not yet completely safe and probably need strengthening of its competencies to emerging challenges.

The authors intend to assess the village health sanitation and nutrition committees (VHSNC) on six parameters, including their formation, composition, meeting frequencies, activities, supervisory mechanisms and funds receipt and expenditures across nine districts of the three states of India.

The cross-sectional study, conducted in the states of Uttar Pradesh (five districts), Odisha (two districts) and Rajasthan (two districts), used a quantitative research design. The community health workers of 140 VHSNCs were interviewed using a semi-structured questionnaire. The details about the funds' receipt and expenditures were verified from the VHSNC records (cashbook). Additionally, the authors asked about the role of health workers in the VHSNC meetings, and the issues and challenges faced.

The average number of members in VHSNCs varied from 10 in Odisha to 15 in Rajasthan. Activities were regularly organized in Rajasthan and Odisha (one per month) compared to Uttar Pradesh (one every alternate month). Most commonly, health promotion activities, cleanliness drives, community monitoring and facilitation of service providers were done by VHSNCs. Funds were received regularly in Odisha compared to Rajasthan and Uttar Pradesh. Funds were received late and less compared to the demands or needs of VHSNCs.

This comprehensive analysis of VHSNCs' functioning in the selected study areas sheds light on the gaps in many components, including the untimely and inadequate receipt of funds, poor documentation of expenditures and involvement of VHSNC heads and inadequate supportive supervision.

VHSNCs assessment has been done for improving community health governance.

Today the mobile apps are helping customers in every means of their life by exploring information related to electronic items and even for food items also. Therefore, the main aim of this study is to examine the influencing role of psychological and technological attributes on customer conversion to use food ordering apps.

Convenience sampling method was used to collect responses from the customer's age between 18 and 35 years to get more representation of society. 374 customer's data has been used for structural equation model analysis with the help of SmartPLS 3.0 and SPSS-20 software.

Findings showed that customer conversions are positively influenced by perceived ease of use, perceived usefulness, perceived incentives, perceived information, customer relationship management and order management system. In contrast, the perceived price and visual design show insignificant influence.

Research outcome provides some valuable insights to provide direction to all online food aggregators to design their apps according to customers need. Thus, the authentic customer reviews and the facility of providing feedbacks are very fruitful for attracting new user while using and placing orders through theses apps.

Study suggested that observing satisfaction and dissatisfaction levels of the customer helps in enhancing the facilities of food ordering apps, so that the customer would enjoy the whole order process seamlessly, which automatically leads to customer conversions.

Major contribution of this study is the empirical analysis of psychological and technological attributes on customer's conversion towards food ordering app.

This paper aims to explore the possibility of utilization of Asparagus racemosus as a novel natural preservative in meat products.

Chevon sausages were used as a study model and prepared by incorporating different levels of A. racemosus, namely, T1 (0.25 per cent), T2 (0.50 per cent) and T3 (0.75 per cent) and were vacuum packaged and assessed for various lipid oxidative stability and storage quality parameters under refrigerated (4  ±  1°C) conditions.

Significantly (p < 0.05) lower thiobarbituric acid reacting substances (mg malonaldehyde/kg) values were observed for the products containing A. racemosus in comparison to control indicating a significant effect on the lipid oxidative stability. The products containing A. racemosus also showed significantly (p < 0.05) lower values for various microbiological characteristics like total plate count (log cfu/g), psychrophilic count (log cfu/g), yeast and mould count (log cfu/g), anaerobic count (log cfu/g) and free fatty acid (% oleic acid) values indicating the antimicrobial and antifungal properties of A. racemosus. No significant (p > 0.05) effect was observed on the cooking yield and moisture content of the products. Significantly (p < 0.05) higher scores were observed for various sensory parameters of the products containing A. racemosus during the entire period of storage.

A. racemosus successfully improved the lipid oxidative stability and storage quality of the model meat product without compromising the sensorial characteristics and has a great potential as a novel natural preservative in muscle foods.