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This paper aims to examine the dynamic impacts of the COVID-19 pandemic and government policy on real house price indices in five emerging economies, namely, Brazil, China, Thailand, Turkey and South Africa.

The authors use the local projection method with a panel data set of these countries spanning from January 2020 to July 2021.

The number of COVID-19 confirmed positive cases raised housing prices, whereas government containment measures reduced them. Both conventional and unconventional monetary policy implemented by central banks to cope with the COVID-19 helped increase housing prices. These effects were strengthened by the US monetary policy via globalized financial markets.

First, while previous researches typically concentrated on developed countries, the authors investigate emerging economies where proportionally more people were badly affected by the pandemic. Second, a panel data set of five emerging economies enabled the authors to examine the dynamic effects of the COVID-19 crisis on housing prices. Third, to the best of the authors’ knowledge, this is the first study evaluating the influences of easing monetary policy on housing prices in emerging economies during the pandemic.

The case study aims to achieve the following learning objectives, structured according to the Revised Bloom’s Taxonomy: First, explore the corporate governance framework: recall the roles and responsibilities of key stakeholders at UCICI Bank and AUDIOCON Group and their coordination in governance structures; interpret the principles of stakeholder theory and their application in governance decision-making processes; apply ethical frameworks like the Markkula Center for Applied Ethics Framework and the Josephson Institute Ethical Decision-Making Model to evaluate governance effectiveness; analyse governance lapses and identify gaps in oversight and stakeholder coordination; and propose reforms in governance frameworks to prevent future fraud; evaluate how effectively the governance structure addresses corporate fraud. Second, examine the concept of conflict of interest: understand the ethical and legal implications of conflicts of interest presented in the case; apply knowledge to assess corporate governance failures related to conflict of interest; analyse oversight lapses and identify causes for governance failure; evaluate SEBI regulations on conflict of interest and recommend strategies to mitigate such conflicts in corporate settings; explore the concept of related party transactions (RPTs); understand how RPTs influence governance and stakeholder interests; apply governance principles to assess the legality of RPTs in the case; analyse risks and ethical concerns associated with RPTs and governance failures linked to these transactions; and evaluate proposed regulatory reforms to enhance oversight and transparency. Third, derive key lessons from the case: understand areas for improvement in corporate governance practices, internal reporting mechanisms and whistleblower protections; apply lessons to create strategies for improving governance practices and protecting stakeholders; analyse systemic governance flaws that contributed to the fraud; evaluate the effectiveness of governance practices in preventing similar frauds in the future; and create recommendations for improving governance, ethics and whistleblower policies. Fourth, examine basic issues and remedial measures: understand the root causes of governance failures in the case; apply knowledge of corporate governance principles to recommend reforms in regulatory and accountability frameworks; analyse weaknesses in the existing governance system that enabled fraudulent activities; evaluate the feasibility of proposed remedial measures for transparency and ethical practices; and create new governance policies to enhance accountability and prevent future frauds.

By studying the UCICI AUDIOCON Loan Fraud Case, the above objectives are aimed to shed light on the complex dynamics of corporate governance, conflicts of interest, regulatory compliance, wrongdoing reporting mechanism, whistle-blower policy and reputation risks within the banking industry. The findings and insights from the case study can contribute to improving governance practices and strengthening the integrity of financial institutions.

The UCICI – AUDIOCON loan fraud case epitomises a crisis in corporate governance, spotlighting ethical breaches at the highest echelons of leadership. This case study delves into the dilemma faced by UCICI Bank’s Board of Directors regarding the prosecution of its former CEO, Mhanda Mochhar. Accusations of impropriety stem from a suspicious loan of US$391.57m to AUDIOCON Group, allegedly facilitated by Mochhar in exchange for personal benefits. The ensuing investigation unearthed violations of banking regulations, including non-disclosure, conflict of interest and RPTs. The pivotal board meeting, dissected in this study, underscores the delicate balance between accountability and reputational damage. Through analysis and debate, stakeholders grapple with the repercussions of their decisions on the bank’s integrity and stakeholder trust. The case encapsulates broader lessons on corporate governance, conflict of interest and regulatory oversight, serving as a springboard for critical inquiry and strategic reform in the financial sector. As the saga unfolds in the courtroom, this study provides a lens into the complexities of corporate morality and the imperative for robust governance frameworks.

This case study can be used in classes/subjects such as Finance, Strategic Management, Corporate Governance, Business Ethics and Law for (Vidgen, Hindle, & Randolph, 2020).▪ Graduate students and officials.

Teaching notes are available for educators only.

CSS1: Accounting and Finance.

This study explores the feasibility of substituting freshwater with alternative water sources such as potable water (PW), harvested rainwater (HRW), stormwater (SW), borewell water (BW) and seawater (Sea W) in concrete manufacturing. The aim is to evaluate the potential of these alternative sources to support sustainable development, reduce environmental impact and conserve freshwater resources in the construction industry.

The research followed established concrete production standards and evaluated the chemical properties of various water sources. Fresh concrete characteristics, including setting time, workability and mechanical properties (compressive, split tensile and flexural strength), were tested at 7, 28 and 90 days. Durability assessments utilized the Volhard assay for chloride content, RCPT for chloride permeability and a physical sulfate attack test. Additionally, a life cycle assessment (LCA) examined the environmental impacts, while an economic analysis assessed cost implications for each water source.

The results showed only minor differences of 2%–3% in the fresh and mechanical properties of concrete using alternative water sources, with no significant changes in compressive, tensile or flexural strength compared to potable water. The Rapid Chloride Penetration Test (RCPT) and Nord Test techniques showed that all water sources, except seawater, are suitable for concrete mixing, as they enhance concrete durability due to their very low chloride ion concentrations, which minimize the risk of steel corrosion. The sulfate attack, including mass loss and expansion measurements for various water sources, indicates low susceptibility to except seawater. SEM and EDS HRW and SW also showed denser microstructures compared to Potable Water, indicating the absence of voids or cracks and the formation of ettringite needles, while seawater posed challenges due to high chloride content and corrosion risks. The LCA indicated that SW had the lowest environmental impact, while seawater posed substantial challenges. The economic analysis confirmed SW as the most cost-effective option, with all sources meeting production standards except seawater.

This study provides new insights into the sustainable use of non-potable water sources in concrete manufacturing. It demonstrates the viability of using HRW, SW and BW as alternative water sources to potable water, supporting sustainability goals in construction while conserving vital freshwater resources and reducing environmental impact.

In the modern financial landscape, Artificial Intelligence (AI) is gaining prominence, offering significant economic advantages. This research paper aims to investigate the impact of Behavioural Biases (BB) such as Overconfidence Bias (OCB), Fear of Missing Out (FOMO), Herding Bias (HB) and Regret Aversion Bias (RAB) on Investment Decision-Making (IDM). Additionally, it explores how the AI-led Adoption of Digital Advisory Services (ADAS) moderates these biases among Gen Z investors in India.

The study utilized a convenience sampling method, gathering 457 responses from Gen Z investors in India through an online survey questionnaire. The data was analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM).

The results confirm a significant relationship between OCB, FOMO, HB and RAB on IDM. The study also found that ADAS significantly moderated the relationship between FOMO and IDM, as well as between HB and IDM. However, the moderation effect of ADAS was not supported for the relationships between OCB and IDM, and RAB and IDM.

This research offers valuable insights for academics, individual investors, fintech companies and policymakers. It highlights how behavioural biases affect IDM and underscores the importance of AI-enabled digital services in helping Gen Z investors recognize and manage these biases. Policymakers can use these insights to establish standards for AI use, ensuring regulatory compliance and promoting ethical conduct in AI-driven investment decisions.

The novelty of this study lies in its conceptual approach, particularly in examining the moderation role of ADAS in addressing behavioural biases among Gen Z investors.

This study aims to examine the role of knowledge-sharing behaviors within the relationships between high-performance work systems (HPWS) and feeling trusted in work engagement.

The sample consisted from 107 employees working in financial services companies in Jakarta, Indonesia, who underwent an acquisition process. In this study, structural equation modeling (SEM) was used to examine the associations between HPWS and feelings of confidence in job commitment. In addition, the Sobel test was used to test the mediation effect of knowledge-sharing behavior.

This study found that HPWS have a positive relationship with work engagement and knowledge-sharing behaviors. Accordingly, the feeling trusted by supervisors has a positive, non-significant impact on knowledge-sharing behavior. Conversely, the feeling trusted by supervisors has a negative, non-significant impact on work engagement. Finally, this study also found that knowledge sharing does not lead to HPWS and feeling trusted does not improve work engagement.

Although this study was conducted in a multicultural country, the analysis of cultural aspects is insufficient analysis. Therefore, future research should consider the cultural aspects to further this form of research.

Organizations should note that human resource management practices through HPWS play an important role in improving positive employee outcomes. In addition, companies through managers should manage their relationships with subordinates to optimize work engagement.

Financial services companies not only conduct a financial business, but also an information business. This paper is one of the quantitative studies that examines the work engagement of employees from financial companies that have gone through an acquisition process.

The significance of financial literacy (FL) in deciding how to allocate one’s investment capital has recently attracted much attention from various market participants and stakeholders. The study examines how FL affects individual investors' investment decisions (ID) in emerging markets. Additionally, the study investigates the potential mediating effects of attitude (ATT) and overconfidence bias (OCB) on the association between FL and ID.

The study employed a structured questionnaire to collect data from 311 individual investors in India, using both convenience and snowball sampling methods. The collected data were analysed using Partial Least Square Structural Equation Modelling (PLS-SEM) and processed through SMART PLS 4.0 software to test the study’s hypotheses.

FL alone may not greatly affect ID, but the study enhances understanding of investor behaviour by examining how ATT and OCB mediate the link between FL and ID. The findings imply that FL, combined with positive ATT and overconfidence, empowers individual investors with the knowledge and skills for appropriate decision-making.

This research would benefit financial institutions, financial experts, and individual investors in India since it enables them to evaluate the causes and biases affecting their IDs and manage their portfolios accordingly. Policymakers should develop appropriate FL programs for investors to make informed decisions to achieve financial well-being.

The paper is exceptional in its approach as it delves into the mediating function of ATT and OCB in the intricate association between FL and ID. This innovative approach sets it apart from other studies in the field, making it a unique contribution to literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0370

This study aims to reveal how the organizational structure (vertical integration vs. franchising) of 308 stores in a Spanish fashion retail franchise chain affects their performance measured through two key performance indicators commonly used in this industry, namely, labor productivity and service quality ratings. We also appraise the moderating role played by the servant leadership of franchisees and managers of company-owned outlets to explore its influence on the relationship between organizational structure and store performance.

We have used multivariate analyses to study the research questions, with a panel dataset of quarterly store-level data for the period January–December 2022.

Vertically-integrated stores record lower labor productivity than franchised ones. This impact is lower in stores run by individuals high in servant leadership than in those run by individuals low in it. Franchised outlets also record lower ratings in service quality than vertically-integrated stores, and this negative impact is weaker in stores run by individuals high in servant leadership.

Nothing has thus far been published on the moderating effect of servant leadership in the relationship between the organizational structure of different stores and their outcomes in franchise systems.

The goal of this research is to utilize 3D virtual fitting technology to design and develop a customized full leg sleeve with graduated compression and strategically placed adhesive stripes, aiming to improve training effectiveness by restricting bending movement in the leg.

Knitted fabric and polymer adhesive film were chosen for compression garment development. The design of adhesive stripes was based on Kinesio taping method. Pattern design and 3D visualization was performed using Modaris 3D (CAD Lectra). The compression values were determined by the Laplace equation. The compression full leg sleeve with and without the adhesive stripes were fitted on the virtual mannequin in the squat position in order to determine the influence of adhesive stripes for tensile load in longitudinal direction.

The compression values in a virtual garment varied from 23.17 ± 1.94 mmHg in the ankle girth to 13.41 ± 1.50 mmHg in the thigh girth. The difference did not exceed 3 mmHg compared to the planned pressure values. The obtained result showed that purposefully placed adhesive stripes significantly increased the tensile force in the longitudinal direction of the garment in a squat position, so it may improve training effectiveness.

3D virtual fitting represents the fit on a solid body form, which may affect the accuracy of compression garment simulation, as the human body is not rigid.

The application of 3D virtual fitting technology in creating customized and functional garments demonstrates its unique contribution to garment prototyping and product development.

The study aims to identify the major challenges encountered by Indian exporters of agricultural products in the course of fulfilling export orders.

To achieve the objectives, a questionnaire and interview method are used to gather data from a randomly selected sample of 300 agri-exporters in Haryana, India. The study categorizes the various perceived constraints into problem variables or factors using factor analysis. Then, the aggregated scales are regressed against predictors, to validate the proposed hypotheses.

The results demonstrate that the broad challenges faced by agri-exporters of India are related to logistics, technological and quality assurance, financial, supply-chain bottlenecks and customs-related documentation. Furthermore, the findings confirm that the predictors have a significant effect on the identified constraints. Notably, the export experience emerged as the most influential variable contributing to overcome the challenges faced by Indian agri-exporters.

The study’s exclusive focus on the exporter’s perspective limits a comprehensive understanding. Incorporating data from logistics providers, customs agents and financial institutions could offer a more holistic view of the challenges.

The study offers new insights and contributes to the existing knowledge base by presenting a comprehensive analysis of the challenges faced by exporters and modeling them.