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This study aims to analyze the connection between institutional isomorphic pressures and both women serving on boards and women’s influence on boards within large American firms.

This study examines a longitudinal panel data set of all Standard and Poor’s (S&P) 500 organizations across a seven-year period from 2009 to 2015.

The analyses affirm that institutional isomorphic pressures impact the prevalence and influence of women on boards. Evidence suggests that coercive and normative pressures strongly impact the number of women serving as corporate directors, whereas the power of women directors is linked only to mimetic pressures.

The research suggests that to increase the number of women serving as directors, the industry must first increase the overall number of women serving in senior management roles. Once women directors gain a critical mass of three women on the board, the association with the total number of women directors, the number of boards upon which they concurrently serve, the power of women directors being selected to board leadership and the influence of women directors increase.

This paper extends existing board diversity work by examining institutional pressures at the international, national and firm levels. By examining the relationship between coercive, normative and mimetic pressures on both the prevalence of women on boards and the influence of women on boards, the authors illuminate certain mechanisms that shape the likelihood of board appointment and placement in more powerful positions.

Organizations have always faced the possibility of disruptions. Traditional approaches, such as shifting risks through insurance or improving organizational resiliency, view disruptions as threats. This study aims to propose a new perspective where disruptions can also be opportunities. By adopting project portfolio management (PPM), organizations can develop proactive capabilities to manage uncertainty and prepare to exploit future disruptions.

Drawing on publicly available research reports, company reports, professional standards and press reports, this study describes key features of PPM and provides detailed practical guidance on how to apply PPM in daily operations, especially in preparation for the next disruption.

The key steps in applying PPM in daily operations are: align portfolios and projects with strategic goals and objectives; establish a robust governance framework; optimize resource capability and capacity; build and implement appropriate implementation methodologies; continuously monitor, review and optimize the project portfolio; and develop a culture that embraces risks, innovation and adaptability.

This research has several limitations and implications. On limitations, the study was constrained by publicly available data, an in-depth interview with a consulting firm and a survey based on convenient sampling. These limitations will impact the generalizability of the findings. On implications, this paper shows how organizations can prepare for future disruptions by applying PPM. There are other ways to prepare for the unpredictable future, and further research is needed to explore other methods.

The results of this study have important practical implications for all organizations and in all sectors. Major disruptions are matters of “when,” not “how,” and responsible organizations need to pay attention. Based on the PPM discipline, this research provides an approach for business executives and project management practitioners to tackle this challenge. Furthermore, portfolio managers should use this information to promote and advocate for more disciplined planning to confront the uncertain future.

The findings of this paper carry important social implications. As the recent events showed the vastness of disruptions, from extreme heat to fires in Maui, sitting idly and waiting passively for an unpredictable future is not an option. This paper advocates the need for more awareness and preparation for future disruption by applying PPM. Furthermore, this research provides concrete guidelines for organizations and practitioners to consider as they confront the unknown. Additional research should investigate other effective strategies to meet the challenges of an uncertain and volatile future.

This study offers practical steps on how organizations may manage not only to survive but also to thrive in an uncertain and volatile world.

Paper aims to investigate the interdependencies and spillover effects that the Visegrad (V4 hereafter) Equity Markets hold on each other. The V4 group stands for the political alliance of four Central European countries: Poland, the Czech Republic, Hungary and Slovakia.

The study uses Wavelet coherence, dynamic conditional correlation GARCH (1, 1) and unrestricted vector autoregression (VAR) methodologies. Daily data series (covering the period from January 2, 2006, to February 2, 2023) are analyzed to assess coherence, time-varying conditional correlation and shock transmission among the V4 Equity Markets.

Wavelet analysis reveals that the Slovak equity market does not maintain coherence with three other equity markets. The time-varying conditional correlation documents for the high interdependence during the COVID-19 outbreak of the four indexes. The VAR estimates reveal that shocks in the Warsaw equity market are easily transmitted in Prague and Budapest exchanges but not in Bratislava. The results show that the Slovak equity market tends to be isolated from the influence of other three V4 exchanges. This isolation is attributed to its size, limited volume and adoption of the euro in 2009. The study emphasizes the Slovak financial system’s gravitation toward the Eurozone after euro adoption.

Notably, the findings provide important signals for local and international investors as the results cover four significant international shocks. The global meltdown of 2008/09, the Greek debt crisis of 2010/11, the COVID-19 pandemic and the Russia-Ukraine war.

Sustainability is essential to the ongoing operations of banks, though it is much less clear how Islamic corporate governance (ICG) promotes economic sustainability (ES) and thereby prevents bankruptcy. To explore the unexplored, this study aims to examine the efficacy of ICG in preventing bankruptcy and enhancing the ES of Islamic banks operating in Pakistan.

The current study measures ES through Altman's Z-score to analyze the level of the industry's stability and consequently examines the effect of ICG on the ES of Islamic banks in Pakistan for the post-financial-crises period. Using the country-level data, this study utilized a fixed-effect model and two-stage least squares (2SLS) techniques on balanced panel data spanning from 2009 to 2020 to provide empirical evidence.

The empirical results unveiled that board size and meetings have a significant positive influence on the ES while managerial ownership demonstrated an unfavorable effect on ES. Interestingly, the insignificant effect of women directors became significant with the inclusion of controlled variables. Overall, the findings indicate that ICG is an efficient tool for promoting ES in Islamic banks and preventing them from the negative effects of emerging crises.

The findings provide concrete insights for policymakers, regulators and other concerned stakeholders to execute a sturdy corporate governance system that not only oversees the economic, social and ethical aspects but also provides measures to alleviate the impacts of potential risks like the COVID-19 pandemic.

Examining the role of ICG in alleviating bankruptcy risk is an informative and useful endeavor for all social actors.

To the best of the authors’ knowledge, this study is one of the first efforts to provide evidence-based insights on the role of ICG in preventing bankruptcy and offers a potential research direction for ES.

This study aims to examine the degree of consciousness of forensic accounting (FA) in Jordan. This study surveys practitioners and academicians about their views and thoughts toward the expected role of using FA techniques to detecting and preventing fraud practices and shedding more light on advantages and obstacles of using the FA techniques.

To collect the data, a questionnaire was constructed and distributed to the study population which consists of accounting academics, students and accounting practitioners.

The results of this study show evidence that both students and professionals have a lower level of awareness on the FA concept and its importance. The results also confirm there is a significant correlation between, fraud prevention and detection, advantages of the application of FA, the training courses toward the application of FA and the application of FA in the context of Jordan. It has also been confirmed that there is a number of significant factors hinders this implementation in Jordan.

The findings of this study offer many policy implications for regulators and policymakers on the needed relevant information to address and implement FA in education and practice, thereby activating the FA concept in Jordan.

The primary motivation of this study is driven by the limited and inconclusive research on the FA as a monitoring tool, notably there is a high possibility of fraud and misstatement practices due to the agency conflict. This study is the first of its kind to discuss this topic in the context of Jordan. The need to integrating the accounting education within accounting profession regarding FA becomes an urgent need to develop the awareness level of practitioners when it comes to practice of FA.

The present study aims to comprehensively examine the impact of the Union Bank of Switzerland (UBS) takeover of Credit Suisse on the banking and financial services sector in the Indian stock market. To fully comprehend the impact of the event, the study separately investigates the response of private sector banks, public sector banks, overall banking companies and financial services companies to the takeover of the second-largest financial institution in Switzerland.

The study employs event study methodology, using the market model, to analyze the event's impact on Indian banking and financial services sector stocks. The data consists of daily closing prices of companies included in the Nifty Private Bank Index, Nifty PSU Bank Index, Nifty Bank Index and Nifty Financial Services Index from the National Stock Exchange (NSE). Furthermore, cross-sectional regression analysis has been conducted to explore the factors that drive abnormal returns.

The empirical findings of the study suggest the event had a heterogeneous impact on the stock prices of Indian banks and financial services companies. While public sector banks experienced a significant negative impact on select days within the event window, the overall Indian banking sector and financial services companies also witnessed notable declines. In contrast, Indian private sector banks were relatively resilient, exhibiting minimal effects. However, the cumulative effect is found to be insignificant for all four categories across different event windows. The study also observed that the cumulative abnormal returns (CARs) were significantly influenced by certain variables during different event windows.

To the best of the authors' knowledge, the present study is the earliest attempt that investigates the impact of the UBS takeover of Credit Suisse on the Indian banking and financial services sector using event study methodology and cross-sectional regression model.

This study aims to examine the impact of intellectual capital (IC) on default risk in Indian companies listed on the National Stock Exchange.

This study applies panel data regression analysis to derive a relationship between IC and default risk for the sample period 2013–2022. The value-added intellectual coefficient (VAIC) of Pulic (2000) has been applied to measure IC performance, and default risk is estimated using the revised Z-score model of Altman (2000).

The results revealed a positive association between Z-score and VAIC. It implies that a higher value of VAIC improves financial stability and leads to a lower likelihood of default. The findings further suggest that new default forecasting models can be experimented with IC indicators for better default prediction.

The findings can have implications for investors and banks. This paper provides evidence of IC performance in improving the financial solvency of firms. Investors and financial institutions should invest their resources in a healthy firm that effectively manages and invests in their IC. It will eventually award investors and creditors high returns through efficient value-creation processes.

This study provides evidence of IC performance in improving the financial solvency of Indian high-defaulting firms, which lacks sufficient evidence in this domain of research. Numerous studies exist examining the relationship between firm performance and IC value, but this area is inadequately focused and underresearched. This study, therefore, fills the research gap from an Indian perspective.

This paper aims to investigate the dynamic volatility connectedness among 13 G20 countries by using the volatility indices.

The connectedness approach based on the time-varying parameter vector autoregression model has been used to investigate the linkage. The period of study is from 1 January 2014 to 20 April 2023.

This analysis revealed that volatility connectedness among the countries during COVID-19 and Russia–Ukraine conflict had increased significantly. Furthermore, analysis has indicated that investors had not anticipated the World Health Organization announcement of COVID-19 as a global pandemic. Contrarily, investors had anticipated the Russian invasion of Ukraine, evident in a significant rise in volatility before and after the invasion. In addition, the transmission of volatility is from developed to developing countries. Developed countries are NET volatility transmitters, whereas developing countries are NET volatility receivers. Finally, the ordinary least square regression result suggests that the volatility connectedness index is informative of stock market dynamics.

The connectedness approach has been widely used to estimate the dynamic connectedness among market indices, cryptocurrencies, sectoral indices, enegy commodities and metals. To the best of the authors’ knowledge, none of the previous studies have directly used the volatility indices to measure the volatility connectedness. Hence, this study is the first of its kind that has used volatility indices to measure the volatility connectedness among the countries.

The crux of this paper is to unveil efficient features and practical tools that can predict credit default.

Annual data of non-financial listed companies were taken from 2000 to 2020, along with 71 financial ratios. The dataset was bifurcated into three panels with three default assumptions. Logistic regression (LR) and k-nearest neighbor (KNN) binary classification algorithms were used to estimate credit default in this research.

The study’s findings revealed that features used in Model 3 (Case 3) were the efficient and best features comparatively. Results also showcased that KNN exposed higher accuracy than LR, which proves the supremacy of KNN on LR.

Using only two classifiers limits this research for a comprehensive comparison of results; this research was based on only financial data, which exhibits a sizeable room for including non-financial parameters in default estimation. Both limitations may be a direction for future research in this domain.

This study introduces efficient features and tools for credit default prediction using financial data, demonstrating KNN’s superior accuracy over LR and suggesting future research directions.

Ethical leadership has been recognized as a critical factor in encouraging employees’ moral voices. This study offers a dual-route model to understand this process. The boundary conditions of these two routes are discussed herein.

The data originate from a multiwave, multisource survey study of 212 leader–subordinate dyads in Taiwan drawn from a variety of industry sectors.

The findings validate both the cognitive (moral efficacy) and affective (affective attachment) pathways from ethical leadership to moral voice, influenced by the organizational factor of political climate. While the moral efficacy pathway is more pronounced in a situation of weak political climate, the affective attachment pathway remains effective regardless of the climate’s strength.

Managers need to identify if their organization prioritizes rational professionalism or interpersonal affection. In the former case, they should focus on the learning effects of ethical leadership. Conversely, in the latter, the emphasis should be on the leader-subordinate relationship. Doing so optimizes the effectiveness of ethical leadership in growing moral voices.

Considering both cognitive and affective routes from ethical leadership to moral voice could integrate social learning theory (SLT) and social exchange theory (SET). Identifying factors influencing these two routes resonates with the leader–situation interaction perspective. This research deepens the understanding of ethical leadership's effects on encouraging and protecting employee moral voice.