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Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy. Past studies have focused on the outcome of failures, while, there is a dearth of studies focusing on ongoing firms in bad shape. We plug this gap and attempt to identify underlying communication patterns for firms witnessing prolonged underperformance. Using text mining, we extract and analyze semantic, linguistic, emotional, and sentiment-based features in non-numeric communication channels of these poor-performing firms and their peers. These uncovered patterns highlight the use of vocabulary and tone of communication, in correspondence to their financial well-being. Furthermore, using such patterns, we deploy various Machine Learning algorithms to identify loser firm(s) way ahead in time. We observe promising accuracy over a time window of five years. Such early warning signals can be of critical importance to various stakeholders of a firm. Exploration of writing style-related features for any firm would help its investors, lending agencies to assess the likelihood of future underperformance. Firm management can use them to take suitable precautionary measures and preempt the future possibility of distress. While investors and lenders can be benefitted from this incremental information to identify the likelihood of future failures.

The purpose of this paper is to quantitatively assess the essential trends of existing research on “puffery in advertising” through bibliometric analysis.

This study uses citation data collected through Scopus and Google Scholar for the research area “puffery in advertising” to investigate the most productive journals, top countries of affiliation and prominent years with maximum citations. The study analyses the 87 articles related to “puffery in advertising,” published during 1840 to 2018. Moreover, this study also presents graphical analysis through network maps.

“Puffery in advertising” has remained an under-researched area. However, records of past ten years indicate marginal growth in the number of publications. USA dominates this research area with most numbers of articles published till date. Through clustering of subject areas, it is found that majority of articles have been published under the subject area of “Business, Management and Accounting.” Interestingly, the results of the network maps slightly differ from that of citation table.

This paper is useful for any reader or researcher who wants to understand the trends of “puffery in advertising” in terms of citation analysis, authors and affiliation countries, and prominent years with maximum citations, which would further enable them to discover emerging research areas, potential research collaborations and publications.

To the knowledge of the authors, this is the first ever bilbiometric study on “puffery in advertising” providing a bird’s-eye view of the essential trends.

Transformation and involvement from every organizational function are essential in creating a diverse and inclusive workplace. The paper explores the role of training and development (T&D) interventions in building a diverse and inclusive workplace.

Through the review of existing research studies, the authors report and discuss how T&D function supports fostering a diversity and inclusion (D&I) mindset in the workplace and propose an organizational schema that facilitates the systematic design and implementation of T&D interventions for D&I.

Based on the literature an organizational schema was developed which indicated that to foster a D&I mindset in the workplace, it is important that diversity training is designed after considering established diversity theories. Further diversity training can be conducted in two phases, where phase 1 would focus on awareness training and phase 2 on skill training. This would lead to an increase in employee competency development including knowledge, skills, behavior, and a positive attitude toward a D&I mindset.

HR and training managers can benefit from the paper indicating that for achieving effective results from diversity training, it must draw insights from established diversity theories. Through the organizational schema discussed in the paper, organizations can minimize the negative attitude and behavior that emerge from social categorization with the help of systematic T&D where employees are made self-aware of their prejudice and discrimination and further equipped with relevant skills to manage diversity.

A positive mindset incorporated by employees at a workplace with reference to Diversity & Inclusion through structured D& I training can percolate beneficially to the society as a whole.

The study is a rare one that explores the impact of T&D on D&I. The novelty of the research lies in the organizational schema presented in the study exploring how HR practitioners must systematically design T&D for D&I combining both theory and practice to achieve long-term organizational diversity management objectives.

This paper aims to propose an innovative blockchain-based system enabling implementation of a bond-pays model in credit rating industry. Issuer-pays model has led to conflict of interest resulting in rating shopping and inflation. Alternative business models have their own problems, e.g. investor-pays model suffers from “free rider” and public dissemination challenges, whereas government-controlled business models can lead to market distortion. Bond-pays model has been difficult to implement owing to operational difficulties in managing co-ordination amongst multiple entities involved, often with conflicting goals. Blockchain technology enables inter-organizational systems that foster trust amongst non-trusting entities, facilitating business functions such as credit rating to be carried out.

This paper outlines current processes in credit rating business that has led to repeated rating failures and proposes a new set of processes, leveraging capabilities of blockchain technology to enable implementation of an arms-length bond-pays model.

A proof-of-concept system, namely, rating chain has been designed to implement a small part of the proposed model to establish technical feasibility in a blockchain environment.

A fully functional blockchain-based system on bond-pays business model, if built and adopted, could impact how credit rating market functions currently and could contribute to a reduction in rating-related challenges.

The proposal to adopt blockchain technologies in implementing a bond-pays model in credit rating industry is a novel contribution.

The purpose of this study is to develop a framework to investigate the mediating role of attitude toward advertising for the relationship between the exogenous constructs – advertising puffery and celebrity trustworthiness, and an endogenous construct purchase intent.

This paper has proposed a conceptual model based on the previous relevant studies and conducted a survey of 223 youth respondents from India. Further, structural equation model with the help of AMOS software was used to test the relationship among the proposed constructs.

This paper has considered advertising puffery and celebrity trustworthiness as exogenous constructs, attitude toward advertising as a mediating construct and purchase intent as an endogenous construct. The results revealed that advertising puffery influenced purchase intent and attitude toward advertising inversely, whereas celebrity trustworthiness positively influenced both purchase intent and attitude toward advertising. Additionally, attitude toward advertising was found to be a significant predictor of the purchase intent. Moreover, attitude toward advertising is found to have significant partial mediation between the constructs, celebrity trustworthiness and purchase intent.

This paper is useful for the marketers of soft drinks and other low-involvement products in India to understand the perceptions of the youth toward advertising with puffery content and celebrity endorser.

This study is a unique attempt to build a framework involving a combination of advertising puffery and celebrity trustworthiness to analyze the mediating effect of attitude toward advertising on the purchase Intent.

This study aims to develop a database of existing academic information in house purchase decision (HPD) using systematic literature review (SLR), to facilitate worldwide advancement of research under HPD domain.

This research examined papers from two reputable databases – Scopus and Google Scholar – from 1992 to 2022 using a scoping review technique (Arksey and O’Malley, 2005) and a theme analysis method. Out of 374, 181 articles fit the inclusion parameters and were evaluated using the theme analysis approach.

Data from 181 articles was evaluated thematically to create a thematic map of HPD research. Five main themes and their sub-themes were identified: consumer behaviour, housing attributes, factors influencing purchasing decisions, investment analysis and demographics, which proved essential in understanding HPD and customer preferences for house purchase.

Data from 181 articles were evaluated thematically to create a thematic map of HPD research. This SLR intends to provide useful new insights on consumer concerns about home purchases in the rapidly developing residential real estate market and the issues that marketers, housing sector stakeholders, real estate industry and existing and future researchers should prioritize.

This research is unique such that it is the only 30-year-long SLR on the subject matter of HPD. This paper makes a significant contribution to residential real estate domain signifying the present state of research in HPD.

The purpose of this paper is to present an overview of the research which has been done during the past three decades on the topic of green advertising and identify gaps for future research.

The methodology that has been adopted for analysis is two-pronged – the first being a literature review with tabulation of data using excel sheets and bar graphs and the second being a bibliometric review using the software VOSviewer. Both approaches analyze the number of citations, keywords, authors, journals and countries. A database of 113 articles from 1990 to 2020 is generated from Web of Science.

Major contributors to the topic of green advertising research have been identified. Thematic classification is created to understand the subtopics of green advertising. Under this classification, nine subtopics have been identified. Six core research gaps have been identified for future research in the area of green advertising.

The study helps identify where green advertising research is being conducted, its growth potential and future prospects. This research work will enable the industry to gain new insights into this emerging field of green advertising for incorporating the same in their advertising campaigns in view of growing consumer concerns on environment.

The paper provides a comprehensive overview of the current status of research in green advertising. The paper is unique as it is the only review on the topic of green advertising. Given the increasing trend of going green among consumers, the paper adds tremendous value to the field of green advertising.

This research aims to combine and extend the literature on the self-monitoring approach used by faculty members in online teaching during the COVID-19 pandemic using the Technology Acceptance Model (TAM) model. The study also highlights the challenges faced by faculty members in online teaching.

Based on a mixed methodology approach, the primary data was obtained from the faculty members of the post-graduate business schools. This data enabled the measurement of self-monitoring adopted by the faculty members and the relationship of the factors by using the TAM model. Multivariate regression was adopted to study the relationships between the elements in the TAM model and faculty members’ self-monitoring. Secondly, a few exploratory questions were asked to the respondents about the challenges faced by them during online teaching.

The quantitative analysis conducted using multiple regression directed that the faculty’s contentment with any digital platform influenced their engagement, attention and participation while taking an online class as a part of the self-monitoring process. The perception of the technology platforms used for online teaching affected the faculty members’ self-monitoring dimensions: attention, participation and engagement. Based on the qualitative approach, the thematic analysis pointed out five major challenges for faculty members in conducting online classes: I.T. support, hesitation, interaction with peers and students, proficiency with an online platform and evaluation challenges.

This study was conducted during the complete lockdown of the COVID-19 pandemic; many faculty members were initially trained to get familiarized with the online teaching platforms and educate students. Hence, this study enriches the literature on online teaching during pandemic times.

To ensure that the faculty impacts quality online education and the students obtain the knowledge and skills required, faculty need to alter their pedagogy based on the technology they use to focus on their students’ teaching, learning and needs.

This study measures self-monitoring and its dimensions for faculty members, which is unique in nature. This was the first time the faculty members were imposed with the responsibility of online teaching and ensuring that the learning-teaching process was fruitful. This study has both-theoretical and practical implications as the paper focuses on various insights which can make online teaching-learning more effective.

Financial distress is a socially and economically important problem that affects companies the world over. Having the power to better understand – and hence aid businesses from failing, has the potential to save not only the company, but also potentially prevent economies from sustained downturn. Although Islamic banks constitute a fraction of total banking assets, their importance have been substantially increasing, as their asset growth rate has surpassed that of conventional banks in recent years. The paper aims to discuss these issues.

This paper uses a data set comprising 101 international publicly listed Islamic banks to work on advancing financial distress prediction (FDP) by utilising cutting-edge stochastic models, namely decision trees, stochastic gradient boosting and random forests. The most important variables pertaining to forecasting corporate failure are determined from an initial set of 18 variables.

The results indicate that the “Working Capital/Total Assets” ratio is the most crucial variable relating to forecasting financial distress using both the traditional “Altman Z-Score” and the “Altman Z-Score for Service Firms” methods. However, using the “Standardised Profits” method, the “Return on Revenue” ratio was found to be the most important variable. This provides empirical evidence to support the recommendations made by Basel Accords for assessing a bank’s capital risks, specifically in relation to the application to Islamic banking.

These findings provide a valuable addition to the limited literature surrounding Islamic banking in general, and FDP pertaining to Islamic banking in particular, by showcasing the most pertinent variables in forecasting financial distress so that appropriate proactive actions can be taken.

To study the steady viscous incompressible electrically conducting fluid flow past a circular cylinder under the influence of an external magnetic field at high Reynolds numbers (Re).

The finite difference method is applied to solve the governing non‐linear Navier‐Stokes equations. First order upwind difference scheme is applied to the convective terms. The multigrid method with coarse grid correction is used to enhance the convergence rate. The defect correction technique is employed to achieve the second order accuracy.

A non‐monotonic behavior in separation angle when N≥5 and separation length when N≥3 is found with the increase of external magnetic field. The drag coefficient is found to increase with increase of N. The pressure drag coefficient, total drag coefficient and rear pressure are found to exhibit a linear dependence with N^0.5. The pressure Poisson equation is solved to find pressure fields in the flow region. It is found that the upstream base pressure increases with increase of external magnetic field while the downstream base pressure decreases with the increase of the external magnetic field.

The non‐monotonic behaviors in the separation angle and separation length at high Re are explained through pressure fields which are found first time for this problem. The linear dependence of the pressure drag coefficient, total drag coefficient and the pressure at rear stagnation point with N^0.5 is in agreement with experimental findings.