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Islamic banking and microfinance institutions (MFIs) share the core objective of serving the underprivileged. This study aims to investigate whether Islamic banking development facilitates (greases) or hinders (sands) the social mission of MFIs.

Data for 19 countries covering the period 2010–2018 were collected from the World Bank, Bank Focus and International Monetary Funds and analyzed using conventional econometric methods. Endogeneity-corrected techniques and alternative proxies were employed to ensure robust results.

The study revealed that Islamic banking development (proxied by the size of the Islamic banking assets) weakens the depth of outreach of MFIs (measured by average loan size). In countries with growing Islamic banking, MFIs appear to shift their focus toward wealthier clients, potentially due to market saturation among the poor. This is evidenced by MFIs offering larger loans, suggesting a mission drift toward profit maximization. Therefore, it can be inferred that competition from Islamic banks, to some extent, erodes the social mission of MFIs.

This study is among the few to examine the recent and comprehensive relationship between Islamic banking development and the social mission of MFIs.

The purpose of this research is to identify the sustainable practices of luxury fashion brands through their communications via official reporting documents to classify practices used for communicating sustainability performance.

This research uses the qualitative content analysis of Global Reporting Initiative (GRI)-oriented sustainability reports to examine the sustainable practices of 31 companies within the top 100 global luxury brands.

The authors classify the sample into four clusters: sustainability driven, sustainability newcomers, sustainability potential and sustainability passive. Results indicate that companies in this sector are focused on the issue of sustainability even though there is a remarkable fragmentation in terms of practices.

The study contributes to a better understanding of sustainability reporting activities and approaches in the fashion luxury industry by describing best practices and the effect of sustainability in corporate communications.

Grounding on the goal-setting theory and flow theory, this study explored the mechanism underlying the association between transfer design (TD); identical elements and training transfer (TT). Specifically, the authors explored a moderated mediation process of trainer performance and motivation to improve work through learning (MTIWL) that has received less consideration in the TT literature.

Data were collected using the retro-perspective survey method. The first survey was administered offline (t1: the day when leadership intervention was completed. Subsequently, trainees were requested to participate in an online survey (t2: 12–14 weeks later). In all, 355 executives participated.

The results of structural equation modeling (SEM) analyses suggested that trainees’ MTIWL mediational impact between leadership intervention triggers (transfer design and identical elements), and TT was supported. In addition, the indirect impact of these variables on TT was found to be significant when the trainer had high performance than when it was low. This confirmed the trainer’s performance as a potential moderator in the TT process.

This study is limited to the exploration of leadership intervention variables on TT. The findings have implications for leadership professionals and scholars who use leadership intervention and motivation metrics to predict TT.

This study offers a moderated mediation mechanism for enhancing TT through leadership intervention triggers. The proposed conceptual model included MTIWL as mediator and trainer performance during leadership intervention as moderator.

Management education has assumed phenomenal prominence in India in recent years, with branding being a prime factor used as a yardstick, rather a benchmark or point of reference, for one institution having an edge over the other. The purpose of this paper is to explore the factors leading to branding of management education in India. It proposes two frameworks using Total Interpretive Structural Model (TISM) for public and private sector management colleges. For this purpose, variables are extracted using systematic literature review, which play a crucial role in changing the dynamics of college rankings. The inquiry distinctly examines the nature of relationship between them for public and private colleges offering higher education. The study further proposes strategies for improvement of rankings by discussing the hierarchy and interrelationship among the enablers.

The study uses Interpretive Structural Model (ISM) to ascertain the linkages between the variables, and employs TISM to validate the reasons of association. The model was fabricated by consulting the experts from various spheres closely allied to branding and higher education, including the private agencies and decision makers in the selected colleges. The variables were furthermore structured for classification using Matrice d’Impacts Croises-Multiplication Appliqué an Classment Analysis.

It was observed that the variables behave differently when studied from the perspective of private sector colleges and public sector colleges; the former have seven levels of arrangement while it is only four for the latter. Quality of Faculty and Research were the key areas of concern for private sector colleges while infrastructure featured as a focal point for those in public sector. It was also evident that the placement of variables and their flow were different. Rankings should thus be premeditated differently for both the sectors and different weights should be assigned to rank the colleges.

The study is confined to branding of management education institutes in India, without considering other important disciplines for generalizing the framework. It is based on literature review followed by ISM, while other approaches such as ethnographic research methods and appreciative inquiry could have been possible alternatives as well.

The paper helps in developing different frameworks for private and public sector institutes, which would assist them to have a homogenous completion within their respective sectors. The study can be used to measure the performance of colleges on various parameters and gives them linking variables to enhance their productivity.

The paper discusses the need for developing a different barometer to measure the performance of private sector and public sector colleges offering higher education.

This study aims to create a systematic knowledge base on importance and utilization patterns of underrated pseudo-cereals prevalent in the northeastern hilly (NEH) region of India, namely, buckwheat, Job’s tears, chenopod and amaranth, enabling their diversified use to develop innovative food products from them. The information presented in the paper would facilitate scientists, trainers and young entrepreneurs in developing many novel food products from these underrated pseudo-cereals.

Major scientific information has been collected from Scopus, Web of Science and Google Scholar. Several keywords such as underrated crop, pseudo-cereals, buckwheat, chenopod, Job’s tears, amaranth, value addition and utilization were used to find the data. Relevant information was collected by using about 60 recent research and review articles.

The main findings of this comprehensive study include compiled record of utilization of underrated pseudo-cereals found in the NEH region of India and their scope to innovate smart food products.

The paper presents a comprehensive record of nutritional benefits and utilization status of the underrated pseudo-cereals available in the NEH region of India. This knowledge base would help both the researchers and other professional working in the processing of these crops.

The primary purpose of this study is to examine the factors leading to shopping cart abandonment and construct a model depicting interrelationship among them using interpretive structural modeling (ISM) and Matriced Impact Croises Multiplication Appliquee an un Classement (MICMAC).

Initially, 20 factors leading to shopping cart abandonment were extracted through a systematic literature review and expert opinions. Fifteen factors were finalized using the importance index and CIMTC method, for which consistency has been checked in SPSS software through a statistical reliability test. Finally, ISM and MICMAC approach is used to develop a model depicting the contextual relationship among finalized factors of shopping cart abandonment.

The ISM model depicts a technical glitch (SC8), cash on delivery not available (SC4), bad checkout interface (SC9), just browsing (SC11), and lack of physical examination (SC12) are drivers or independent factors. Additionally, four quadrants have been formulated in MICMAC analysis based on their dependency and driving power. This facilitates technical managers of e-commerce companies to focus more on factors leading to shopping cart abandonment according to their dependency and driving power.

Taking an expert’s opinion as a base may affect the results of the study due to biases based on subjectivity.

This study’s outcomes would accommodate practitioners, researchers, and multinational or national companies to indulge in e-commerce to anticipate factors restricting the general public from online shopping.

For the successful running of an e-commerce business and to retain the confidence of e-shoppers, every e-commerce company must make a strategy for controlling factors leading to shopping cart abandonment at the initial stage. So, this paper attempts to highlight the main factors leading to shopping cart abandonment and interrelate them using ISM and MICMAC approaches. It provides a clear path to technical heads, researchers, and consultants for handling these shopping cart abandonment factors.

Introduction: With a rapid increase in the application of artificial intelligence and machine learning, new Artificial Intelligence (AI) technologies are now playing a vital role in evolving green human resource management practices in the sustainable development of organizations. A thorough analysis of the part of AI technologies in Green Human Resource Management (GHRM) is still an ongoing process.

Purpose: This chapter/study aims to provide an overview of the changing paradigm of human resource management practices into Green Human Resource Management Practices and the role of Artificial Intelligence interventions in various aspects of talent management, talent acquisition, and talent retention.

Design/methodology/approach: This study is based on the systemic review of 37 research studies and reports on human resource management practices, green human resource management, artificial intelligence, and talent management strategies.

Findings: The findings below show a change in human resource management practices encouraging new technologies, software solutions, and artificial intelligence. Green management practices are overtaking the traditional mindsets and work environment. This transformation has synergized the adoption of artificial intelligence and G-HRM practices, encouraging innovative and positive work behaviors.

Originality/value: The originality of this study lies in fulfilling the existing gap in the studies of the role of artificial intelligence and its effects on green human resource management. Its value counts in showing the aspects of innovation in HRM with sustainability and advanced technology.

Fashion brands are one of the strongest means of expressing consumers identity. This study explores and empirically validates the concepts of brand love and hate for masstige fashion brands from the purview of emerging markets. This study deciphers three components of masstige fashion brand promise through the lens of hedonic identity, uniqueness and expected social gains for the affluent middle-class consumers. The model is complemented by the impact of environmental and society’s well-being.

Empirical evidence was obtained through an online survey in India. Total of 222 complete responses were used to test hypotheses by fitting a model with the partial least squares algorithm.

Fashion brand love is triggered by consumers’ hedonic identity and expected social gains. Brand hate is fuelled by environmental and societal well-being concerns, expected social gains and uniqueness. Theoretical contribution is threefold: First, the relevance of social and environmental consequences reflecting consumers’ accepted responsibility for their masstige consumption is introduced. Second, the study deciphers the emotions related to masstige brand love and brand hate for emerging market’s affluent middle-class. Third, empirical results contribute to the ongoing discussion on whether brand hate and love are two distinct concepts or collapse to be two extremes of one and the same continuum.

Middle-class consumers in India are strict in their avoidance and rejection of the lower classes’ preferred fashion brands. Targeting must consider the social classes hierarchy. Marketing-mix design, particularly prices and distribution networks, need to enable a distinction between the social classes.

Masstige fashion brand love and hate turn out to be two distinct constructs that co-exist rather than being two extremes of one and the same dimension.

Indian middle-class consumers satisfy their need of environmental and social caretaking by avoidance and brand hate but continue to choose masstige brands to demonstrate social status and are not modernizing their traditional accumulative materialism.

The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image.

This study proposed convolutional neural network (CNN) approach to predict COVID-19.

Prediction of COVID-19 using CNN.

The work has implemented multiple CNN models to classify chest X-ray of affected patients by using their chest scans. According to three models, the ResNet-50 is advantageous because of its high service reliability.

Responding to the radical changes in work practices and extensive virtual forms of interaction brought by COVID-19, this study aims to investigate the role played by authentic leadership and horizontal collectivism in helping the Indian startups sail through the pandemic.

Data was gathered through standardized questionnaires from 300 leaders and 300 employees from Indian startups during the second phase of lockdown. Statistical analysis using AMOS 23.0 checks for the direct effect of authentic leadership on work engagement and the moderating effect of horizontal collectivism on the relationship between the two. This study also compares the results between self-ascribed and perceived authentic leadership.

Statistical analysis using AMOS 23.0 was done to check for the direct effect of authentic leadership on work engagement and the moderating effect of horizontal collectivism on the relationship between authentic leadership and work engagement. This study also compared the results between self-ascribed and perceived authentic leadership.

To the best of the authors’ knowledge, this is the first study that explores the role of authentic leadership in unlocking work engagement among employees serving in Indian startups during the pandemic. The lesson learned from this is when employees perceived their leaders to be authentic, the work culture to be nonhierarchical and felt collective responsibility toward work, it unlocked their high potential and made them soulfully engaged in their work.