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The purpose of this paper is to reviews some of the learnings, challenges and solutions suggested by the article author regarding the role of implementing emotional intelligence by corporate social responsible (CSR) leaders and offers ideas for future research. The aim is to offer a positive conclusion to the problems and their solutions.

The study investigates the relationship between emotional intelligence and effective CSR leadership. The author evaluates the body of research on the issue and provides a reassuring assessment of the problems and recommendations.

Having emotional intelligence is essential for executives who wish to implement successful CSR initiatives. It allows CEOs to create a culture of social responsibility inside their organizations, highlight the importance of CSR initiatives and strengthen relationships with stakeholders. Key emotional intelligence traits, including self-awareness, self-regulation, motivation, empathy and social skills, are necessary for effective CSR leadership.

The study focuses on the role of emotional intelligence in corporate social responsibility leadership, offering a unique perspective on the subject. It also explores practical solutions and ideas for future research, adding originality and value to the existing body of literature on emotional intelligence and CSR leadership.

The purpose of this article is to study green banking practices, its methods of adoption and importance of practicing green banking. This study also includes the role and contribution of banks in environmental sustainability and UN Sustainable Development Goals.

The current research paper is conceptual in nature, based on a thorough literature review, websites of financial institutions and literature evaluations among other sources. This study has been supplemented by a variety of research journal articles. The websites of many banks including SBI (State Bank of India) and MayBank (Malaysia) were used and reviewed to know about various green banking practices both nationally and internationally and their contribution toward sustainability.

The devastating effects of recent flooding, droughts and extreme temperatures that several people all over the world have experienced compelled everyone to begin thinking about global warming and its consequences, and to do everything that can be done to address this problem. Governments, businesses and individuals all play a part in preventing global warming and creating a more sustainable world. People have to deal with financial institutions, particularly banks, which play a vital role in this environment by assisting in the development of a robust and successful low-carbon economics. They should make more use of environmental data when extending credit and making investment decisions. The project will assist them in proactively improving their environmental performance while also adding long-term value to their company. Businesses having a bigger carbon output may be viewed as riskier in the future, and banks may shy away from funding such businesses in favor of innovative technology solutions that absorb or reduce carbon emissions. As a result, green banking is the order of the day, a source for sustainable development and it will undoubtedly benefit banks, industries as well as the environment at large.

The theoretical implications can be summed in the following points: (1) there is no universally accepted framework for green or sustainable banking so far. However, green banking practices are at different stages of development across countries. As per the case of India, green banking practices are at a development phase in India, and green processes have a significant impact on sustainable development. (2) The study is one of the first of its kind in the academic literature as it links green banking practices with sustainability besides discussing green banking practices of the top public sector Bank of India and top commercial bank of Malaysia. Despite the significant contributions made by this study, many disadvantages should be addressed for future research. The present work was chosen for comfort, it was restricted to green banking practices of two banks only, which limits conclusion and interpretation of outcome to some extent Future research can be conducted by a comparative study with the top green banks or with the cleanest country of the world or green banking practices by those banks toward sustainability in that country can also be a good area for research

Managerial implication: The study is extremely helpful to the banking industry in determining the scope of green banking initiatives in sustainable development. This study is a prime study in India to interrelate banking industry towards sustainability and two UN SDGs besides green banking practices of banks. This paper has noted the areas where the banks can make progress for the greener, sustainable economics. It has also aided the banking industry in identifying areas for development so that it may focus on improving social satisfaction and satisfaction of stakeholders across its operating areas. The study is also very helpful for banks to comprehend how vital these green initiatives, especially green processes, are to improve sustainability.

The study will serve as a gauge for banking actions toward greener nations and a greener world since these are the efforts toward Carbon Free World, Efforts for controlling global warming, efforts for the greener planet in general which undoubtedly is a significant long-term service to society a reason for better climate and better tomorrow.

This paper identifies the need for green banking in sustainability. This article also summarizes the notion of green banking besides outlining some methods and analyzing green banking initiative by SBI (State bank of India) of India, MayBank of Malaysia & UNSDG .

The paper intends to show the role of fear of COVID-19 and the relevance of customer empowerment (CU_EMP) and customers’ perceived value of digital service transactions (CU_PV_DST) in promoting green bank service purchase intention (GBS_PI), despite the antagonistic impacts brought in other sectors and the relevance of customer empowerment (CU_EMP) and customers’ perceived value of digital service transactions (CU_PV_DST) as important mediating variables of the relation.

The structured questionnaire helped collect survey data from 323 small business people. The model relationship was assessed through EFA, CFA by SPSS-AMOS and SEM using bootstrapping procedures in Smart-PLS.

The findings of this study show that there is a significant effect of fear of COVID-19 pandemic (F_COVID-19P) on CU_EMP and GBS_PI. CU_EMP influences GBS_PI, whereas F_COVID-19P influences GBS_PI indirectly via CU_EMP. Furthermore, there is a substantial effect of F_COVID-19P on CU_PV_DST and GBS_PI. Thus, F_COVID-19P significantly influences GBS_PI indirectly via CU_PV_DST.

Capitalizing on the COVID-19 wave by empowering customers technologically, improving the legal framework and increasing the perceived value of green service by using an innovative mechanism. In addition, fostering cultural change and emphasizing altruistic values through green advertisements have been explored in this study.

Green services are healthier for smart/green economy and are health-protective for coping with health risks.

This study helps in understanding the theories used in this context by linking them to F_COVID-19P with CU_EMP, CU_PV_DST and GBS_PI and contributes to the literature of both. Furthermore, this is the only study that has used SEM to study this kind of interrelation.

This study aimed to assess the potential of the Clinical Dementia Rating (CDR) Scale in the prognosis of dementia in elderly subjects.

Dementia staging severity is clinically an essential task, so the authors used machine learning (ML) on the magnetic resonance imaging (MRI) features to locate and study the impact of various MR readings onto the classification of demented and nondemented patients. The authors used cross-sectional MRI data in this study. The designed ML approach established the role of CDR in the prognosis of inflicted and normal patients. Moreover, the pattern analysis indicated CDR as a strong cohort amongst the various attributes, with CDR to have a significant value of p < 0.01. The authors employed 20 ML classifiers.

The mean prediction accuracy varied with the various ML classifier used, with the bagging classifier (random forest as a base estimator) achieving the highest (93.67%). A series of ML analyses demonstrated that the model including the CDR score had better prediction accuracy and other related performance metrics.

The results suggest that the CDR score, a simple clinical measure, can be used in real community settings. It can be used to predict dementia progression with ML modeling.

This paper aims to develop predictive methods, based on recurrent neural networks, useful to support facility managers in building maintenance tasks, by collecting information coming from a computerized maintenance management system (CMMS).

This study applies data-driven and text-mining approaches to a CMMS data set comprising more than 14,500 end-users’ requests for corrective maintenance actions, collected over 14 months. Unidirectional long short-term memory (LSTM) and bidirectional LSTM (Bi-LSTM) recurrent neural networks are trained to predict the priority of each maintenance request and the related technical staff assignment. The data set is also used to depict an overview of corrective maintenance needs and related performances and to verify the most relevant elements in the building and how the current facility management (FM) relates to the requests.

The study shows that LSTM and Bi-LSTM recurrent neural networks can properly recognize the words contained in the requests, thus correctly and automatically assigning the priority and predicting the technical staff to assign for each end-user’s maintenance request. The obtained global accuracy is very high, reaching 93.3% for priority identification and 96.7% for technical staff assignment. Results also show the main critical building elements for maintenance requests and the related intervention timings.

This work shows that LSTM and Bi-LSTM recurrent neural networks can automate the assignment process of end-users’ maintenance requests if trained with historical CMMS data. Results are promising; however, the trained LSTM and Bi-LSTM RNN can be applied only to different hospitals adopting similar categorization.

The data-driven and text-mining approaches can be integrated into the CMMS to support corrective maintenance management by facilities management contractors, i.e. to properly and timely identify the actions to be carried out and the technical staff to assign.

The improvement of the maintenance of the health-care system is a key component of improving health service delivery. This work shows how to reduce health-care service interruptions due to maintenance needs through machine learning methods.

This study develops original methods and tools easily integrable into IT workflow systems (i.e. CMMS) in the FM field.

The paper aims to contribute to the broader literature on just transition by examining the intersection of technology and justice, and identifying opportunities for bridging the gap between theory and practice. The work seeks to emphasize the importance of transformative change, which ensures that no individual, community or sector is left behind in the transition towards a sustainable future, both on a global and local scale.

The paper explores the potential for linking justice to the ongoing technological transition, focusing on its impacts on climate and sustainability. Drawing on various sociological, environmental and technological studies, this work examines the intersections between justice and technological change. Through a qualitative analysis of case studies and a review of literature, the article offers insights and recommendations for policymakers, practitioners and scholars involved in the pursuit of a sustainable and equitable future.

The paper concludes that balancing environmental, social and economic goals is necessary on a large scale within the framework of a “just transition”, in order to ensure that no individual, community or sector is left behind in the path to a sustainable future. This involves reflecting on sensitive issues such as competition, intellectual property, market openness, liability and fighting against inequalities. Additionally, it requires considering smart and welfare policies from a multilevel perspective.

The originality of this work lies in its contribution to advancing the understanding of the limitations of a technology-centric approach to climate action and the need for systemic changes. The paper emphasizes the importance of addressing social equity, policy reform and collective action in conjunction with technological transition to achieve a sustainable future. It highlights the risks of overlooking the systemic drivers of the climate crisis, such as unsustainable consumption patterns and reliance on fossil fuels, while pursuing technological solutions. Furthermore, the work emphasizes the relevance of the Sustainable Development Goals of Agenda 2030 in guiding a just transition towards sustainability.

The purpose of this study is to examine the effect of knowledge risk management (KRM) on organizational sustainability and the role of innovativeness and agility in this relationship.

The study presents the results of a quantitative survey performed among 179 professionals from knowledge-intensive organizations dealing with knowledge risks and their management in organizations. Data included in this study are from both private and public organizations located all over the world and were collected through an online survey.

The results have confirmed that innovativeness and agility positively impact the sustainability of organizations; agility also positively impacts organizational innovativeness. The partial influence of KRM on both innovativeness and agility of organizations has been confirmed as well.

The paper findings contribute in different ways to the ongoing debates in the literature. First, they contribute to the general study of risk management by showing empirically its role in organizations in the given case of organizational sustainability. Second, by emphasizing the risks related to knowledge, this study contributes to emerging efforts highlighting the particular role of knowledge for sustained organizational development. Third, by linking KRM and organizational sustainability, this paper contributes empirically to building knowledge in this very recent field of study. This understanding is also useful for future development in the field of KM as a whole.

The paper lays the ground for both a deeper and more nuanced understanding of knowledge risks in organizations in general and regarding sustainability in particular. As such, the paper offers new food for thought for researchers dealing with the topics of knowledge risks, knowledge management and organizational risk management in general.

This study aims to examine the moderator effect of religiosity on the relationship between halal brand awareness and habit towards purchasing decisions of halal products.

The quantitative method is used in this study. Descriptive and statistical (multiple and moderated regression) analyses are employed to test the hypothesis according to the research model. The data is collected using a cross-sectional design from 197 respondents consisting of business owners in North Sumatera, Indonesia.

It is found that both halal brand awareness and habit have a positive and significant effect on the purchasing decision of halal products. Meanwhile, religiosity significantly acts as a moderating variable in the relationship between awareness and purchasing decisions, as well as habit and purchasing decisions.

This study revealed the important factor of religiosity as a moderating factor in purchase decisions of halal products. The government may need to collaborate with Islamic educational institutions to raise awareness of the halal concept and product awareness. It is assumed that individuals who know about the Islamic religion will have a higher degree of awareness of halal products compared to individuals with limited knowledge of Islam; thus, providers of Islamic education play a crucial role in raising the level of awareness of halal products. Schools may serve as catalysts for the dissemination of knowledge of halal products.

Developing halal product markets can be done by enhancing the religiosity level of consumers, one of them through attending formal or informal religious classes.