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The purpose of this paper is to highlight the biological activities of low-calorie natural sweetener, i.e. monk fruit (Siraitia grosvenorii), which are associated with its bioactive constituents.

Recent investigations focused on biochemical characterization and nutraceutical potential of monk fruit (traditional Chinese perennial vine) have been critically reviewed. Also, the safety and influence of monk fruit on organoleptic characteristics of prepared food products have been documented.

Biochemistry of monk fruit revealed that mogrosides are the principal compounds responsible for the high-intensity sweetness in the monk fruit. The fruit induces several biological activities including anti-oxidative effect, hypoglycemic response, anti-allergic properties, anti-carcinogenic and anti-tissue damage activities. Attributing to great potential as a bio-functional sweetener in food products, monk fruit extract has been approved as Generally Regarded as Safe.

This paper highlights the biological potential of monk fruit opening the doors to future investigations for its utilization in products of commercial importance including food and pharmaceutical preparations.

This chapter discussed the role of business intelligence (BI) in healthcare twofold strategic decision making of the organization and the stakeholders. The visualization techniques of data mining are applied for the early and correct diagnosis of the disease, patient’s satisfaction quotient and also helpful for the hospital to know their best commanders.

In this chapter, the usefulness of BI is shown at two levels: at doctor level and at hospital level. As a case study, a hospital is taken which deals with three different kinds of diseases: Breast Cancer, Diabetes, and Liver disorder. BI can be applied for taking better strategic decisions in the context of hospital and its department’s growth. At the doctor level, on the basis of various symptoms of the disease, the doctor can advise the suitable treatment to the patients. At the hospital level, the best department among all can be identified. Also, a patient’s type of admission, continued their treatments with the hospital, patient’s satisfaction quotient, etc., can be calculated. The authors have used different methods like Correlation matrix, decision tree, mosaic plots, etc., to conduct this analysis.

The purpose of this paper is to explore the dimensions of online customer experience (OCE) and their impact on satisfaction and loyalty in the clothing e-retail context. Furthermore, it explores the influence of gender on the OCE-satisfaction-loyalty chain.

OCE dimensions were drawn from the literature and then adapted and validated using two samples (217 – exploratory factor analysis, 651 – confirmatory factor analysis) of experienced online clothing shoppers in India. An analysis was done using structured equation modelling.

Six OCE psychological factors and four OCE functionality factors were revealed. Both OCE dimensions impact loyalty either directly or indirectly through satisfaction. Gender is observed to moderate the relationship among three OCE factors (e-distrust, e-negative beliefs and website interactivity) and satisfaction.

The research results are limited to the factors related to each of the two OCE dimensions explored within the clothing e-retail context in India.

Clothing e-retailers need to focus on both the OCE dimensions to drive business sustenance. Furthermore, their OCE strategies should be in line with the gender-based differences highlighted by the study.

The study facilitates in the adaptation and validation of the OCE dimensions in the clothing e-retail category in an emerging market. While all factors associated with both OCE dimensions are important for driving satisfaction and loyalty, the study underscores the need for a higher focus on visual engagement by e-retailers in the given context. Gender moderates the OCE-satisfaction paths, but does not moderate the OCE-loyalty paths.

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 purpose of this paper is to identify challenges for management education in India and explain their nature, significance and interrelations using total interpretive structural modelling (TISM), an innovative version of Warfield’s interpretive structural modelling (ISM).

The challenges have been drawn from literature and validated by an empirical study conducted through questionnaires administered electronically and personally to 250 management graduates. TISM has been applied to 14 finalised factors.

All the identified factors, except accreditation, were found to be important. Ineffective regulatory bodies and ineffective leadership emerged as the biggest roadblocks. Several significant interrelations were found which were sometimes not revealed by plain observation.

The existing literature has discussed the challenges for management education but not their interrelations. This paper uses TISM to demonstrate the relationships between different challenges and to explain the logic behind the relationships. The results would be useful for the owners (or managers) of management institutes faced with the same challenges.

Each individual needs to be vaccinated to control the spread of the COVID-19 pandemic in the shortest possible time. However, the vaccine distribution with an already strained supply chain in low- and middle-income countries (LMICs) will not be effective enough to vaccinate all the population in stipulated time. The purpose of this paper is to show that there is a need to revolutionize the vaccine supply chain (VSC) by overcoming the challenges of sustainable vaccine distribution.

An integrated lean, agile and green (LAG) framework is proposed to overcome the challenges of the sustainable vaccine supply chain (SVSC). A hybrid best worst method (BWM)–Measurement of Alternatives and Ranking According to COmpromise Solution (MARCOS) methodology is designed to analyze the challenges and solutions.

The analysis shows that vaccine wastage is the most critical challenge for SVSC, and the coordination among stakeholders is the most significant solution followed by effective management support.

The result of the analysis can help the health care organizations (HCOs) to manage the VSC. The effective vaccination in stipulated time will help control the further spread of the virus, which will result in the normalcy of business and availability of livelihood for millions of people.

To the best of the author's knowledge, this is the first study to explore sustainability in VSC by considering the environmental and social impact of vaccination. The LAG-based framework is also a new approach in VSC to find the solution for existing challenges.

The purpose and value of management education was always under the critics’ scanner but the proliferation of institutes impelled a serious debate on its quality. The purpose of this paper is to identify the factors affecting quality of management education in India and explains their nature, significance and mutual influences using interpretive structural modelling (ISM).

The factors were listed through literature review. They were then validated by empirical research conducted through questionnaires administered electronically and personally to 220 master of business administration students and alumni. On 13 such factors finalised, a qualitative and interpretive tool, ISM was applied.

Leadership emerged as the most important factor followed by organisational structure and practices. Interrelations otherwise not easily observable established their prominence. An important fact that evolved is that almost all the factors have strong interdependence and have to be seen in coherence when analysing their impact on students.

The literature until now has been highlighting the factors and their association with management education largely in isolation. This paper contributes to the existing literature by proposing a framework of the interrelationships of the factors which have a role in improving the quality of management education.