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The purpose of this study is to understand the association between health behaviours of diet, physical activity, smoking cigarettes, alcohol consumption, safe sex and sleep quality with demographic (e.g. age, gender) and psychological (i.e. stress, self-esteem and sense of coherence) factors in Indian residential college students.

Students studying for Bachelor of Technology at residential colleges in India were invited to complete an online questionnaire regarding their health behaviours, demographics and psychological variables. Each health behaviour was regressed onto demographic and psychological factors to determine which of them were associated with performing each behaviour.

There was no clear pattern of predictors for the health behaviours overall. Self-esteem was related to healthy diet, being single was related to adequate sleep, higher parental income was related to safer sex and being older was related to more alcohol use and safer sex.

This study revealed that health education efforts may need to be designed for specific behaviours and correlates among Indian college students. Interventions regarding (1) healthy eating should target students with lower self-esteem, (2) sleep should target students in a relationship and (3) safer sex should target younger students and those from less affluent backgrounds.

This research is one of the first attempts to study the predictors of health behaviours among Indian college students. The study highlighted that psychological factors (e.g. self-esteem) and demographic factors (e.g. relationship status, parental income, age) affect different health behaviours. These findings can help health educators to design tailored interventions and aid in health education and promotion among Indian college students.

The aim of this chapter is to provide an overview of the student mental health crisis in Higher Education (HE), and how resilience and grit, two important positive psychological constructs, can be beneficial for university students’ success and wellbeing. As part of a discussion around some of the current approaches to intervening in wellbeing in universities, the chapter provides evidence for the use of PPIs for wellbeing in university students, alongside some of the challenges of implementing these in HE. It also provides an overview of the Thriving Students Framework and presents a case for a multicomponent approach to monitoring and improving educational success. In particular, a wellbeing framework that, alongside resilience, also recognises the importance of strengths, persistence in the face of difficulty, a growth mindset, self-control and mental wellbeing; Academic Tenacity. The implications of utilising this framework for educational attainment in university students are discussed. The Bolton Uni-Stride Scale (BUSS), a single short measure of academic tenacity that combines the attributes enabling measurement and intervention to support university students to thrive, is also presented for educators to use.

With the advancement of technology, microlearning has emerged as a promising method to improve the efficacy of teaching and learning. This study aims to investigate the document types, volume, growth trajectory, geographic contribution, coauthor relationships, prominent authors, research groups, influential documents and publication outlets in the microlearning literature.

We adapt the PRISMA guidelines to assess the eligibility of 297 Scopus-indexed documents from 2002 to 2021. Each was manually labeled by educational level. Descriptive statistics and science mapping were conducted to highlight relevant objects and their patterns in the knowledge base.

This study confirms the increasing trend of microlearning publications over the last two decades, with conference papers dominating the microlearning literature (178 documents, 59.86%). Despite global contributions, a concentrated effort from scholars in 15 countries (22.39%) yielded 68.8% of all documents, while the remaining papers were dispersed across 52 other nations (77.61%). Another significant finding is that most documents pertain to three educational level categories: lifelong learning, higher education and all educational levels. In addition, this research highlights six key themes in the microlearning domain, encompassing (1) Design and evaluation of mobile learning, (2) Microlearning adaptation in MOOCs, (3) Language teaching and learning, (4) Workflow of a microlearning system, (5) Microlearning content design, (6) Health competence and health behaviors. Other aspects analyzed in this study include the most prominent authors, research groups, documents and references.

The finding represents all topics at various educational levels to offer a comprehensive view of the knowledge base.

The purpose of this paper is to explore Ontario education professors’ perceptions of well-being, document ways in which they support graduate students’ well-being and discuss perceived challenges in doing so.

A basic interpretative design was used, with participants consisting of seven (four females, three males) tenured professors from five faculties of education in Ontario, Canada. Participants completed one to two semi-structured interviews. Interviews were audio recorded, transcribed for member checking and read holistically to identify emergent themes across participants.

Participants provided multifaceted representations of well-being and reported that supporting graduate students’ psycho-socio-emotional well-being was a critical aspect of their role. They discussed the intentional use of specific strategies including creating inclusive learning environments, nurturing caring relationships, providing academic accommodations and promoting relevant on-campus supports and services. Finally, participants identified factors that challenged their abilities to support graduate students’ wellness including institutional norms and expectations, shifting student demographics and uncertainties with respect to professional capacities.

Graduate student mentorship should be included in the faculty reward system. The provision of private, specialized services offered by trained personnel is also recommended. Future research is needed to explore faculty experiences supporting and mentoring diverse groups of graduate students.

While limited in participant numbers and educational jurisdiction, this research extends current mentoring models by adding a mental health and well-being component, thus bridging gaps between well-being and graduate mentorship in higher education.

This study aims to reveal consumers' internal and external motivations to prefer online food shopping. The paper proposes an integrated model including aspirations, capabilities, subjective norms (divided into online resources and offline resources), perceived value and traditionalism to examine their effects on consumers' intention to do online food shopping.

A cross–sectional design was used to understand which factors affect consumers' intention to do online food shopping. The data were collected from a total of 400 people via an online survey. The conceptual model was tested using structural equational modeling to understand the relationships between the factors.

The results suggest that the conceptual framework can be used to have a better understanding of consumers' internal and external motivations to do online food shopping. The study proves that aspirations have a considerable direct effect on and a mediating role between capabilities, subjective norms from online resources, traditionalism and the effect of COVID-19 pandemics and the intention. Also, traditionalism was found to be an antecedent for consumers to prefer online food shopping.

This study reveals better insights for the sellers, marketers and system providers dealing with supplying food products through online channels. The findings suggest that the stakeholders take into consideration aspirations, capabilities, subjective norms, perceived value and traditionalism to organize their activities in food marketing in the online area.

In this study, aspirations–capabilities framework was adopted and confirmed within consumers' online food shopping domain. Also, it was proved that traditionalism was a driver of individuals' intention to do online shopping for food products.

The study aims to investigate employees' overall justice perception and job stress as multiple mediators in the relationship between perceived talent management (TM) practices and turnover intention.

Covering various industries in Bangkok, Thailand, the sample of the study consists of 552 employees, including both talented employees and normal employees as defined by their organization. Online questionnaires were distributed internally by selected organizations, and structural equations modeling was used to analyze the data.

The results indicate that both overall justice perception and job stress mediate the relationship between perceived TM practices and turnover intention.

The study contributes to the lack of empirical evidence in TM literature and aids in the design of better TM strategies to deliver effective organizational investments in its people.

The study aims to analyze the impact of Research & Development (R&D) intensity on the firm’s performance, measured by growth of sales in the emerging market like India. Innovation strategy and its outcomes for firms may be different in developing countries as compared to developed countries. Thus, a study that focuses on the emerging economy like India, with a majority of the population dependent on agriculture, is of prime importance to the firm performance in the food and agricultural manufacturing industry. For this study, the broader focus will be on one widely recognised factor which may influence the growth rate of firms, i.e. investment in innovations which is in terms of R&D expenditure.

The paper investigates the relationship between the R&D efforts and growth of firms in the Indian food and agricultural manufacturing industry during 2001–2019. To empirically test the relationship between firm’s growth (FG) and R&D investments, system generalised method of moments technique has been used, hence enabling to avoid problems related to endogeneity and simultaneity.

The findings reveal that investments in innovations have a positive effect on the growth of firms in the Indian food and agricultural manufacturing industry. Investment in R&D also enables the firms to reap benefits from externalities present in the industry. Further analysis reveals that younger firms grow faster when they invest in R&D. More specifically, this paper finds evidence in the case of the food and agricultural industry that import of raw materials negatively affects the FG and export intensity positively affects the growth in the case of R&D firms.

This study suggests that the government should encourage the industries to invest optimally in R&D projects by providing favourable fiscal treatments and R&D subsidies which are observed to have positive effects in various developed countries.

To the best of the author’s knowledge, the current paper is the first to analyse the impact of innovation in food and agricultural industry on firm’s performance in an emerging economy context with the latest data. This paper agrees that a government initiative to increase private R&D expenditure would have favourable effects on FG as growing investments in R&D lead to further growth of the firms.

Price discovery and spillover effect are prominent indicators in the commodity futures market to protect the interest of consumers, farmers and to hedge sharp price fluctuations. The purpose of this paper is to investigate empirically the price discovery and volatility spillover in Indian agriculture spot and futures commodity markets.

This study uses Granger causality, vector error correction model (VECM) and exponential generalized autoregressive conditional heteroskedasticity (EGARCH) to examines the price discovery and spillover effects for nine most liquid agricultural commodities in spot and futures markets traded on National Commodity and Derivatives Exchange (NCDEX).

The VECM results show that price discovery exists in all the nine commodities with futures market leading the spot in case of six commodities, namely soybean seed, coriander, turmeric, castor seed, guar seed and chana. Whereas in case of three commodities (cotton seed, rape mustard seed and jeera), price discovery takes place in the spot market. The Granger causality tests indicate that futures markets have stronger ability to predict spot prices. Supporting these, the results from EGARCH volatility test reveal that there exist mutual spillover effects on futures and spot markets. Thus, it could be inferred that futures market is more efficient in price discovery of agricultural commodities in India.

These results can help the market participants to benefit by hedging out the uncertainty and the policymakers to design futures contracts to improve the efficiency of the agricultural commodity derivatives market.

The findings provide fresh view on lead–lag relationship between future and spot prices using the latest data confirming that futures market indeed is dominant in price discovery.

There are very few studies that have explored the efficiency of the agricultural commodity spot and futures markets in India using both price discovery and volatility spillover in a detailed manner, especially at the individual agriculture commodity level.

The preference of firm corporate social responsibility (CSR) spending is shaped by different groups of owners and the institutional environment in which the firm operates. This paper aims to study the heterogeneity among the controlling groups and firms’ internationalization in influencing the CSR decision in emerging economy firms.

This paper draws understanding from institutional theory to inspect the propensities of various ownership groups such as lending institutions (LI), domestic mutual funds (MF) and foreign institutional investors (FIIs). The empirical analysis was conducted from a sample of 1,594 unique Bombay stock exchange (BSE)-listed non-financial Indian firms during the 2014–2019 period using Tobit panel regression analysis.

The findings reveal that firms’ CSR activities are impacted differently by ownership share of different types of institutional investors after controlling for firm-level resources and capabilities. Lending institutions, FIIs and MF are supportive of CSR investments by firms along with international investments by the firm. Further, the results show that the CSR spend is positively influenced by the business group affiliation of the firm compared to the unaffiliated group of firms.

The analysis has implications for both institutional investors and multinational firms. In the merging market context, managers and owners who target long term strategies such as CSR will benefit from increasing shareholdings of creditors (lending institutions). They can also take steps to improve their transparency and corporate governance structure so as to attract foreign institutional investments, thus, in turn, helping the internationalization process of the firm.

This paper considers the role of the diverseness of the ownership institutional investors along with the moderating effect of business group affiliation of the firm and international investments in impacting the CSR spend. This disparity has not been previously studied with the latest data in an emerging economy context.

The purpose of this paper is to provide an overview of unmanned aerial vehicle (UAV) developments, types, the major functional components of UAV, challenges, and trends of UAVs, and among the various challenges, the authors are concentrating more on obstacle sensing methods. This also highlights the scope of on-board vision-based obstacle sensing for miniature UAVs.

The paper initially discusses the basic functional elements of UAV, then considers the different challenges faced by UAV designers. The authors have narrowed down the study on obstacle detection and sensing methods for autonomous operation.

Among the various existing obstacle sensing techniques, on-board vision-based obstacle detection has better scope in the future requirements of miniature UAVs to make it completely autonomous.

The paper gives original review points by doing a thorough literature survey on various obstacle sensing techniques used for UAVs.