Template-Type: ReDIF-Article 1.0 Author-Name: Sudhi Sharma Author-X-Name-First: Sudhi Author-X-Name-Last: Sharma Author-Name: Neeraj Aswal Author-X-Name-First: Neeraj Author-X-Name-Last: Aswal Author-Name: Reepu Author-X-Name-First: Author-X-Name-Last: Reepu Author-Name: Parul Bhatia Author-X-Name-First: Parul Author-X-Name-Last: Bhatia Author-Name: Shristi Jain Author-X-Name-First: Shristi Author-X-Name-Last: Jain Author-Name: Vaibhav Aggarwal Author-X-Name-First: Vaibhav Author-X-Name-Last: Aggarwal Author-Name: Shashank Sharma Author-X-Name-First: Shashank Author-X-Name-Last: Sharma Title: Do top ranked ESG score countries provide diversification opportunities with global markets? Abstract: The paper attempts to find diversification opportunities with Nordic countries with high environmental, social, and governance (ESG) scores and world and emerging indices. The study also identifies the resilient diversification opportunities in these countries during the pandemic. The study utilises daily-adjusted closing prices of the selected indices from March 11, 2018, to March 11, 2021, divided into pre-COVID and post-COVID windows. The time-varying connectedness-wavelet coherence model and network analysis capture the time-varying volatilities and analyse the interconnectedness between the indices. The results found that MSCI Emerging markets diversification opportunities are least impacted by the outbreak of the pandemic and thus, show more resilient diversification in comparison with MSCI World Index. It has been found that Iceland and Switzerland are the two indices that provide diversification with benchmark indices and captured diversification. Finally, Switzerland is providing resilient diversification opportunities with both benchmark indexes. Journal: Int. J. of Revenue Management Pages: 25-47 Issue: 1/2 Volume: 15 Year: 2025 Keywords: environmental, social, and governance; ESG scores; sustainable development; economic growth; COVID-19; time-varying connectedness; UN SDG8. File-URL: http://www.inderscience.com/link.php?id=147333 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:1/2:p:25-47 Template-Type: ReDIF-Article 1.0 Author-Name: Afef Jarraya Author-X-Name-First: Afef Author-X-Name-Last: Jarraya Author-Name: Mouna Abbes Boujelbène Author-X-Name-First: Mouna Abbes Author-X-Name-Last: Boujelbène Title: Exploring the moderating role of CEO overconfidence in the CSR-financial performance nexus: a quantile analysis in the banking sector Abstract: The present study investigates to what extent CEO overconfidence could moderate the CSR and financial performance binding relationship, concerning a sample of American and European banks, regarding the period spanning from 2013 to 2021. Using simultaneous quantile regression analysis, the empirical results indicate that engaging in socially responsible activities might negatively impact banking financial performance at high financial performance levels. Moreover, CEO overconfidence appeared to positively affect financial performance at all quantile levels. Additionally, CEO overconfidence was liable to exert a rather significant influence on the CSR of banks displaying FP scores approaching the highest performance levels. The findings also highlighted that overconfidence positively moderates the CSR effect on banking financial performance at all quantile levels. This research provides practical implications and insights for managers and policymakers seeking to improve banks' financial performance through highlighting the joint effect of strong commitment to CSR practices and CEO overconfidence. Journal: Int. J. of Revenue Management Pages: 1-24 Issue: 1/2 Volume: 15 Year: 2025 Keywords: corporate social responsibility; CSR; behavioural finance; overconfidence; performance; sustainability; COVID-19 pandemic. File-URL: http://www.inderscience.com/link.php?id=147347 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:1/2:p:1-24 Template-Type: ReDIF-Article 1.0 Author-Name: Tam Phan Huy Author-X-Name-First: Tam Phan Author-X-Name-Last: Huy Title: Comparative study on classifying overinvestment by machine learning Abstract: This research delves into the prevalent issue of overinvestment in Vietnamese firms, employing a range of machine learning algorithms to classify such behaviour. The study utilises data from Vietnam's stock exchanges, applying a wide array of machine learning algorithms - ranging from Logistic Regression to complex deep learning architectures - to identify the most effective tool in classifying overinvestment. The findings from this study reveal that certain machine learning algorithms, particularly ensemble methods like AdaBoost, XGBoost, LightGBM, and CatBoost, demonstrate exceptional proficiency in classifying overinvestment scenarios among Vietnamese firms. These models outperform traditional statistical approaches by effectively capturing the complex, non-linear dynamics that characterise overinvestment behaviour. Notably, the research uncovers that AdaBoost and XGBoost are particularly adept in this context, offering high accuracy and robustness in detecting overinvestment patterns. The research concludes that these machine-learning tools are crucial for understanding and mitigating overinvestment risks, providing a significant analytical resource for Vietnam's financial sector. The study recommends further adoption of machine learning in corporate financial analysis to enhance decision-making and market stability. Journal: Int. J. of Revenue Management Pages: 48-77 Issue: 1/2 Volume: 15 Year: 2025 Keywords: overinvestment; machine learning; Vietnam markets. File-URL: http://www.inderscience.com/link.php?id=147361 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:1/2:p:48-77 Template-Type: ReDIF-Article 1.0 Author-Name: Vo Tan Liem Author-X-Name-First: Vo Tan Author-X-Name-Last: Liem Author-Name: Nguyen Ngoc Hien Author-X-Name-First: Nguyen Ngoc Author-X-Name-Last: Hien Title: Factors affecting the use of cost management system information and financial performance in Vietnam manufacturers Abstract: The current research established and analysed the influence of the top managers' characteristics (only consider the CEO) on using information from the cost management system (CMS) to make strategic decisions, which is based on upper echelon theory (UET). Additionally, the current research takes into account the moderating influence of environmental dynamism in some relationships. Survey participants are CEOs in medium and large manufacturing enterprises operating in Vietnam. All relationships are statistically significant (except the impact of aging on financial performance). These results suggest that, under environmental dynamism, a good fit between the characteristics of CEOs and the CMS contributes to improving the financial performance of Vietnamese manufacturing enterprises. This result will assist top managers in enhancing the financial performance of the Vietnam manufacturers through the design of an effective cost management system. When realising the significant benefits that a cost management system brings, top managers will provide more support to cost management system designers, thereby enhancing the competitiveness of manufacturing enterprises in Vietnam. Journal: Int. J. of Revenue Management Pages: 78-99 Issue: 1/2 Volume: 15 Year: 2025 Keywords: age; managerial risk-taking propensity; cost management system; CMS; financial performance; environmental dynamism; Vietnam; upper echelon theory; UET. File-URL: http://www.inderscience.com/link.php?id=147364 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:1/2:p:78-99 Template-Type: ReDIF-Article 1.0 Author-Name: Fouzia Alloul Author-X-Name-First: Fouzia Author-X-Name-Last: Alloul Author-Name: El Mehdi Ferrouhi Author-X-Name-First: El Mehdi Author-X-Name-Last: Ferrouhi Title: Governance quality and stock market returns: a comparative study of developed, emerging and frontier markets Abstract: A nation's ability to effectively execute regulations that protect investors and enhance stock market performance is directly correlated with its level of governance. The objective of this study is two-fold: 1) to empirically examine the short-term and long-term effects of governance quality, measured by indicators such as control of corruption (CCOR), government effectiveness (GEFF), political stability and absence of violence/terrorism (PSAV), regulatory quality (RQUA), rule of law (RLAW), and voice and accountability (VACC), on stock returns (SR) in developed, emerging, and frontier markets; 2) to analyse whether this relationship differs as a result of the market development level. Using a PMG/panel ARDL technique, the results suggest that there is a statistically significant long-term relationship between governance quality indicators and stock market returns in developed, emerging, and frontier markets, except for PSAV in emerging markets. Additionally, frontier markets are more sensitive to these effects than both developed and emerging markets. However, no such relationship was found in the short-term. Journal: Int. J. of Revenue Management Pages: 100-131 Issue: 1/2 Volume: 15 Year: 2025 Keywords: governance quality; governance indicators; stock returns; PMG/panel ARDL; developed markets; emerging markets; frontier markets. File-URL: http://www.inderscience.com/link.php?id=147367 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:1/2:p:100-131 Template-Type: ReDIF-Article 1.0 Author-Name: Zinovy Radovilsky Author-X-Name-First: Zinovy Author-X-Name-Last: Radovilsky Author-Name: Harshini Jawahar Author-X-Name-First: Harshini Author-X-Name-Last: Jawahar Title: Magnificent Seven companies: analysis of revenue trends during COVID pandemic Abstract: This research focuses on analysing revenue trends of the Magnificent Seven (M7) companies during the COVID pandemic (2020-2023). Using time series ensemble models, we forecasted quarterly revenues and applied counterfactual analysis to evaluate revenue trends during the pandemic. We determined that the majority of the M7 companies were able to sustain and increase their revenues versus estimated ensemble forecasts during the pandemic years of 2020-2023. We also concluded that for a short-term period, e.g., within the first pandemic year of 2020, some of the M7 companies had experienced revenue losses that were potentially associated with the adverse effects of the pandemic. However, for the subsequent COVID years of 2021-2023, revenue trends for all M7 companies were not adversely affected by the pandemic. This research also provided specific directions on how to develop a new or improve existing methodology for analysing revenues of any organisation during the pandemic. Journal: Int. J. of Revenue Management Pages: 133-153 Issue: 3/4 Volume: 15 Year: 2025 Keywords: analysis of revenue trends; Magnificent Seven companies; COVID pandemic; time series ensemble models; counterfactual analysis. File-URL: http://www.inderscience.com/link.php?id=149668 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:3/4:p:133-153 Template-Type: ReDIF-Article 1.0 Author-Name: Reganti Lavanya Author-X-Name-First: Reganti Author-X-Name-Last: Lavanya Author-Name: Smita Panda Author-X-Name-First: Smita Author-X-Name-Last: Panda Title: Digital financial literacy and wealth creation among women in Bengaluru's IT sector: an empirical study Abstract: The study explores the impact of digital financial literacy on wealth creation among women employed in the IT industry in Bengaluru, India. A well-structured questionnaire was administered to a sample of 420 women, and the data were analysed using Smart PLS 3. Findings reveal that digital financial literacy mediates the relationship between financial literacy and wealth creation. This suggests that women with higher financial literacy and awareness of digital financial tools tend to make better financial decisions, resulting in increased wealth. The study highlights a positive correlation between wealth creation, digital financial literacy, and financial literacy. These insights underscore the importance of enhancing financial education and promoting digital financial technologies to empower women in the IT sector to make informed financial decisions and boost wealth accumulation. The results have a significant impact on financial institutions, policymakers, and individuals seeking to improve their financial well-being. Journal: Int. J. of Revenue Management Pages: 154-178 Issue: 3/4 Volume: 15 Year: 2025 Keywords: digital financial literacy; DFL; financial literacy; financial well-being; IT sector; wealth creation. File-URL: http://www.inderscience.com/link.php?id=149677 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:3/4:p:154-178 Template-Type: ReDIF-Article 1.0 Author-Name: R. Supriya Author-X-Name-First: R. Author-X-Name-Last: Supriya Author-Name: Vaishnavi Balaji Author-X-Name-First: Vaishnavi Author-X-Name-Last: Balaji Author-Name: A. Shakti Priya Author-X-Name-First: A. Shakti Author-X-Name-Last: Priya Author-Name: R. Manigandan Author-X-Name-First: R. Author-X-Name-Last: Manigandan Author-Name: N. Parthasarathi Author-X-Name-First: N. Author-X-Name-Last: Parthasarathi Title: Eco-market dynamics: deciphering India's agricultural pricing in the context of carbon emissions and inflation Abstract: This study explores the intricate relationship between carbon emissions, agricultural commodity prices, and inflation in India. Using monthly data from January 2014 to March 2022 and structural vector auto regression (SVAR) modelling, the analysis reveals diverse dynamics among key commodities. An inverse relationship is found between wheat prices and inflation, suggesting consumer benefits. Turmeric shows a strong negative correlation, indicating unique market behaviour, while refined soybean oil and cotton prices exhibit minimal negative impacts. In contrast, crude palm oil prices positively influence inflation. A noteworthy finding is the negative correlation between carbon emissions and inflation, highlighting the environmental-economic linkage. These insights enhance understanding of how specific agricultural prices interact with inflation, and how environmental variables play a role. The findings can guide evidence-based policies for agricultural stability, environmental sustainability, and economic growth in India. The implications extend globally, offering valuable insights for developing economies facing similar challenges. Journal: Int. J. of Revenue Management Pages: 179-215 Issue: 3/4 Volume: 15 Year: 2025 Keywords: carbon emissions; agricultural commodity prices; inflation; agricultural stability; environmental sustainability; economic prosperity; India. File-URL: http://www.inderscience.com/link.php?id=149684 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:3/4:p:179-215 Template-Type: ReDIF-Article 1.0 Author-Name: Vikas Author-X-Name-First: Author-X-Name-Last: Vikas Author-Name: Ganesh P. Sahu Author-X-Name-First: Ganesh P. Author-X-Name-Last: Sahu Title: Blockchain integration in accounting: the comprehensive bibliometric analysis of trends, themes, and future directions Abstract: This paper uses an exhaustive bibliometric analysis to describe the interaction between blockchain technology and accounting, showing trends, themes, and future research directions. Traditional methods of accounting are pivotal for trustworthy business decision-making. They generally fall victim to errors and even fraud. Blockchain technology can revolutionise financial data integrity because it is decentralised, transparent, and secure. Through the R-bibliometric package and visualisation of scientific landscapes by VOSviewer, 492 documents from Scopus and Web of Science are analysed. The results describe that scholarly interest in this topic has increased with an annual growth rate of research of 23.17%. Identifying influential authors, institutions that take the leading place, critical publication, and citation patterns using thematic analysis is to reshaping key themes of literature. Indeed, the analysis upholds blockchain's potential to increase accounting quality and reduce fraud in the accounting field, bringing greater transparency into a domain whose ongoing developments keep reforming it. Journal: Int. J. of Revenue Management Pages: 248-274 Issue: 3/4 Volume: 15 Year: 2025 Keywords: blockchain; accounting; bookkeeping; bibliometric; literature review. File-URL: http://www.inderscience.com/link.php?id=149698 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:3/4:p:248-274 Template-Type: ReDIF-Article 1.0 Author-Name: P.S. Biswa Bhusan Sahoo Author-X-Name-First: P.S. Biswa Bhusan Author-X-Name-Last: Sahoo Author-Name: Vikas Thakur Author-X-Name-First: Vikas Author-X-Name-Last: Thakur Title: Research trends in supply chain finance and future agenda: a systematic literature review and bibliometric analysis Abstract: Supply chain finance (SCF) is still new to organisations, especially in developing nations. Practitioners and researchers have not fully explored SCF's short-term financial potential. Hence, to know the significance and trends of research in SCF, the present study attempts a systematic literature review published in some of the reputed international journals and provides a future research agenda. The study adopts a structured approach to collect the widespread literature. The present study reviews 216 papers from 19 reputed international journals from January 2015 to January 2024. The literature collected has been analysed using both qualitative and quantitative techniques. The content analysis of the most researched themes highlights that SCF helps firms streamline their financial flow and boosts their overall profitability, and a shortage of finance is the prime reason firms are shutting down their business. The study offers a comprehensive understanding of SCF concepts and advantages for supply chain participants. Journal: Int. J. of Revenue Management Pages: 216-247 Issue: 3/4 Volume: 15 Year: 2025 Keywords: systematic literature review; supply chain finance; SCF; reverse factoring; financing decisions; content analysis; literature limitations. File-URL: http://www.inderscience.com/link.php?id=149703 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijrevm:v:15:y:2025:i:3/4:p:216-247