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Although risk culture is a key determinant for an effective risk management, identifying the risk culture of a firm can be challenging due to the abstract concept of culture. This paper proposes a novel approach that uses unsupervised machine learning techniques to identify significant features needed to assess and differentiate between different forms of risk culture.

To convert the unstructured text in our sample of banks' 10K reports into structured data, a two-dimensional dictionary for text mining is built to capture risk culture characteristics and the bank's attitude towards the risk culture characteristics. A principal component analysis (PCA) reduction technique is applied to extract the significant features that define risk culture, before using a K-means unsupervised learning to cluster the reports into distinct risk culture groups.

The PCA identifies uncertainty, litigious and constraining sentiments among risk culture features to be significant in defining the risk culture of banks. Cluster analysis on the PCA factors proposes three distinct risk culture clusters: good, fair and poor. Consistent with regulatory expectations, a good or fair risk culture in banks is characterized by high profitability ratios, bank stability, lower default risk and good governance.

The relationship between culture and risk management can be difficult to study given that it is hard to measure culture from traditional data sources that are messy and diverse. This study offers a better understanding of risk culture using an unsupervised machine learning approach.

This study aims to discuss the nutritional value and potential nutraceutical properties of Diospyros kaki L. (DKL); to encapsulate recent studies conducted across the world to develop functional foods using different parts of Persimmon fruit to emphasise on the need for further research on Persimmon fruit.

The methodology of the study involved surveying primary and secondary information generated in the respective field of interest. The papers found most suited for the research problem and objective of the study were selected. The perspectives taken by different studies and researchers were synthesised to generate a solution to the research problems and to bridge the research gaps in the field.

As a result of the global rise in the prevalence of metabolic disorders, researchers are aimed at identifying nutrient rich foods and techniques to develop functional foods for the population. Researchers have recognised the role of fresh fruits and vegetables, whole grains and probiotics, are now interested in leveraging these foods by incorporating them in conventional foods, such as breads, jams, pastas and yoghurts as functional ingredients. One such food that has gained the interests of various researchers is DKL. Owing to its rich macro-and micro-nutrient, as well as phytochemical content various studies have been conducted to explore the possibility of using it as a functional ingredient to develop a range of foods.

A limited studies are available that have investigated the effect of the functional foods developed using different parts of Persimmon fruit on different ailments.

This study collected the data/information from recently published research in the field of health and medicinal benefits of Persimmon fruits and its utilisation to develop functional food.

This article aims to analyze strategically optimal maintenance actions for a multi‐component system whose deterioration is observed through a monitoring system set in place to support condition‐based maintenance.

Deterioration of a multi‐component system is modeled by a continuous‐time jump diffusion model which incorporates interaction between the components of the system. A simulation‐based optimization heuristic is developed to obtain strategically optimum maintenance actions. The methodology is applied to an illustrative example.

The article finds that the framework facilitates analyzing at a strategic level the role of degree of response to the deterioration of components for the overall functionality of a multi‐component system. The optimal solution for the illustrative example recommends a provider to perform a variety of opportunistic maintenance.

In this article, a framework is developed to determine strategically optimal maintenance actions for a multi‐component system whose deterioration is observed in real‐time through embedded monitoring units set in place to support condition‐based maintenance (CBM). The framework facilitates analyzing at a strategic level the role of degree of response to the deterioration of components for the overall functionality of a multi‐component system. A strategically optimal maintenance policy can then be enhanced to develop a detailed tactical maintenance strategy. This approach is expected to benefit the management of long‐term service agreements, where a service contract is sold bundled with a product, which makes a provider responsible for maintaining the product over a specified contract period.

Besides a tactical approach for performing maintenance, in order to stay profitable in the long‐run, a decision maker needs to assess the strategic performance of maintenance strategies adopted. This framework is a first attempt to facilitate this analysis at a strategic level for a monitoring‐enabled multi‐component system.

The paper aims to highlight the understated role of creativity in R&D organizations by exploring the effect of creativity-oriented high-performance work practices (CHPWPs) on resilience. The moderator effect of role clarity (RC) on the association between CHPWPs and resilience is examined.

The study proposes a simple moderation model to understand the relationship, and specifically hierarchical regression analysis (SPSS 22.0) and SPSS PROCESS Macro has been used to test the hypotheses.

Findings revealed that the implementation of CHPWPs would significantly improve resilience. The benefits of CHPWPs on resilience get compromised as the organizations lay stress on higher levels of RC.

Indian R&D organizations must emphasize upon enhancing resilience through a set of CHPWPs. Rather than laying greater stress on RC, these organizations should build a creative climate characterized by experimentation, freedom and a free flow of ideas.

The current study makes a valuable contribution by highlighting the importance of creativity and resilience in organizations. Although conceptual studies highlight the importance of creativity in R&D organizations, this has been was greatly neglected. The current study adds value to the existing literature by deepening the authors’ understanding of the role of CHPWPs in enhancing resilience, the latter being a subject of huge focus of organizations during the pandemic.

Amidst the concerns surrounding knowledge sharing, especially in academia, the study attempts to understand its impact on Research output. To deepen our understanding, the study considered the differing impact of age on knowledge sharing and research output through the lens of Continuity Theory and Socioemotional Selectivity Theory.

Data were collected from 385 faculties working in higher education institutions in India. The study uses Hierarchical regression analysis in SPSS 22.0 to test the hypotheses proposed.

A three-way interaction analysis of 385 faculties confirmed our presumption that the effect of knowledge sharing on research output was different for the two-age groups. Surprisingly, the positive effect of knowledge sharing on research output was stronger in older faculties than younger ones. However, technology usage and its effect on research output, declined with age.

Findings gave interesting insights which contradict our earlier notions of increasing age and suggest that instead of blaming increasing age alone for the reduced output, attention must be paid towards other hidden influencing factors.

The study is the first of its kind that investigates the effectiveness of knowledge sharing in academia and the impact of age on the underlying phenomenon. This study makes a novel attempt to deepen our understanding of the impact of age on research output.

The pressing issues of climate change and environmental degradation call for a reevaluation of how we approach economic activities. Both leaders and corporations are now shifting their focus, toward adopting practices and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play in facilitating the adoption of CE principles, within the F&B sector.

This research employs the Best Worst Method, a technique in multi-criteria decision-making. It focuses on identifying and ranking the challenges in implementing AI-driven CE in the F&B sector, with expert insights enhancing the ranking’s credibility and precision.

The study reveals and prioritizes barriers to AI-supported CE in the F&B sector and offers actionable insights. It also outlines strategies to overcome these barriers, providing a targeted roadmap for businesses seeking sustainable practices.

This research is socially significant as it supports the F&B industry’s shift to sustainable practices. It identifies key barriers and solutions, contributing to global climate change mitigation and sustainable development.

The research addresses a gap in literature at the intersection of AI and CE in the F&B sector. It introduces a system to rank challenges and strategies, offering distinct insights for academia and industry stakeholders.

The study aims to explore the effectiveness of performance-oriented practices like high-performance work practices (HPWPs) in higher education (HE), given its explicit focus on performance these days.

The study uses hierarchical linear modeling using statistical package for social sciences (SPSS 22.0) to test the hypotheses. An intertwined framework of the ability–motivation–opportunity (AMO) model and the job demand-resources (JD-R) model was proposed. The study considered strategic hiring, recognition and participatory decision-making as ability, motivation and opportunity-enhancing practices respectively. Further, the study addressed the impact of institutional level moderators, like administrative workload (AWL) and support staff (SS).

The findings based on the responses of 385 faculties and 443 students from 36 Indian institutes, indicated that HPWPs enhanced the education performance (EP) of HE institutes. Further, results revealed that both AWL and SS had differential effects on the relationship between HPWPs and EP. Contrary to authors’ expectations, SS showed a negative effect of the relationship between HPWPs and EP.

The increased AWL was debilitating the beneficial effects HPWPs. The negative interaction effect of SS sheds light on the hidden issues surrounding SS in HE institutes. Based on findings, the study offered important theoretical and practical implications.

To the best of authors’ knowledge, the impact of innovative human resource (HR) practices in academia remains relatively under-researched, and the current study is an attempt to fill this void.

Management (interdisciplinary): corporate social responsibility/financial management/social entrepreneurship.

Undergraduate/MBA.

The case revolves around a Delhi-based non-governmental organization (NGO), GOONJ founded by 40-year-old social activist, Mr Anshu Gupta. Winner of several awards, this NGO is trying to highlight some ignored but basic needs of the poor by using the surplus of the cities (supply of discarded commodities: clothes, furniture, toys, waste paper, utensils stationary, etc. due to space constraints and the growing consumerism) to address scarcity of essential commodities to the poor in the rural areas and creating it as a powerful developmental resource. GOONJ has a number of collection centers across the nation through which the old clothes are collected. Thereafter, the clothes are washed, dried, repaired and packed and then reached to the far flung villages with help of partner grassroots NGO, panchayats, Indian army, etc.There are three key issues raised in the case:

• This NGO has been operating without any formal funding for last many years. With annual expenses over ten million, how does NGO operate so successfully. Also, it is interesting to find out how they are able to maintain cost of just 97 paisa (1 paisa=1/100 rupee) from the time old clothing is collected to the point where it has been delivered to a needy.

• The second issue about the synergy that is created by the NGO – corporate partnership. Further, this case also gives the audience to explore synergy between NGO and B-schools.

• To understand the problem areas of distribution management when so many different stakeholders are involved.

This NGO has been operating without any formal funding for last many years. With annual expenses over ten million, how does NGO operate so successfully. Also, it is interesting to find out how they are able to maintain cost of just 97 paisa (1 paisa=1/100 rupee) from the time old clothing is collected to the point where it has been delivered to a needy.

The second issue about the synergy that is created by the NGO – corporate partnership. Further, this case also gives the audience to explore synergy between NGO and B-schools.

To understand the problem areas of distribution management when so many different stakeholders are involved.

• To explore innovations in resource mobilization (sources of financing) and cost management.

• To appreciate the synergy created by forming partnerships between different stakeholders: NGO, corporate houses, B-schools.

• To appreciate issues and problems of distribution management – especially in the case when there are different stakeholders involved.

To explore innovations in resource mobilization (sources of financing) and cost management.

To appreciate the synergy created by forming partnerships between different stakeholders: NGO, corporate houses, B-schools.

To appreciate issues and problems of distribution management – especially in the case when there are different stakeholders involved.

This paper aims to investigate the customers’ response to mandatory activities as per the corporate social responsibility (CSR) laws of India in the Indian hotel industry. Further, it analyzes the influence of mandatory CSR activities of the companies on the purchase intention (PI) of customers with the mediating role of customer satisfaction (CS). It also examines the link between mandatory CSR activities and the customers’ evaluation of corporate.

The customers of five-star hotels in Kerala, India, were surveyed, and the proposed model is analyzed with factor analysis and structural equation modelling with mediation analysis.

The study proves three propositions, namely, the mandatory CSR activities influence the PIs of customers, the CS partially mediates the relationship of CSR activities on the PI of the customers and the mandatory CSR activities demonstrate a positive impact on customers’ evaluation of corporate in the Indian hotel industry.

The comprehensive CSR assessment based on hotel customers’ response by considering CSR law in India is a novel outlook. The study will aid in determining the association between mandatory CSR and PI and evaluate the role of mandatory CSR on favorable corporate evaluation.

This study aims to examine the pattern of corporate social responsibility expenditure (CSRE) incurred by Indian companies after the inception of Companies Act 2013. It also highlights the resultant change brought in the corporate social responsibility (CSR) spends of the companies because of COVID-19 pandemic.

The CSR index provided by the Ministry of Corporate Affairs under Companies (CSR Policy) Rules 2014, is adopted to measure the extent of CSRE made by top 30 Indian companies listed on Bombay Stock Exchange. To study the pattern of CSRE in various domains mentioned in the CSR index, the study is conducted over four points of time. Three alternative years since the commencement of the Companies Act 2013 i.e. 2014–2015, 2016–2017 and 2018–2019 have been taken up. Additionally, the financial year 2019–2020 is included as it marks the inception of the COVID-19 pandemic.

The findings show that the CSRE made by companies is increasing every year over all points of time taken in the study. In addition to this, Indian companies have voluntarily contributed a substantial amount towards COVID-19 relief over and above the required mandatory limits.

The gradual increase in CSR contributions even above the mandated amount and voluntary contribution towards COVID-19 relief by Indian companies implies that the nature of CSR in India is still philanthropic.

The study contributes to the CSR literature after the implementation of the mandatory CSR provisions in India and in the wake of the global pandemic caused by COVID-19 as so far there is no such study available in the extant literature.