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The purpose of this study is to explore the moderating role of chief executive officer (CEO) duality in the relationship between board subcommittees and audit committees with financial expertise on firm performance in European countries. To extend this research, the sample is divided into two subsamples based on common and civil law, with the latter being divided into the three subgroups of civil French law, civil German law and civil Scandinavian law.

Panel data for 3,448 observations from nine European countries are analyzed for the period 2016–2019. The model is estimated and contrasted with the generalized method of moments.

The main findings of this study show that CEO duality moderates positively the relationship between corporate governance committees and firm performance in Europe. Furthermore, the results indicate that CEO duality moderates positively on the association between corporate governance committees and firm performance in countries located by civil law. The findings also evidence that CEO duality moderates positively on the association between corporate governance and compensation committees and firm performance in countries located by Civil-French. Finally, the findings reveal that CEO duality moderates positively the relationship between audit committees with financial experts and firm performance performance in countries located by Civil-German.

This study has some limitations. First, this study may not have considered some characteristics that could influence firm performance from other empirical and theoretical approaches. Second, this study divided the sample according to La Porta et al. (1997) and Graff’s (2008) approaches, but other classifications from different studies may have led to different outcomes. Finally, this study did not examine the country-level aspects that influenced firm performance, such as culture and institutional characteristics beyond corporate governance, economic and political factors. This is a potential avenue for future research.

Managers can use the findings to make strategic company decisions, and they can help other directors understand the important effects CEO duality has on corporate boards because board subcommittees mitigate the negative effect of CEO duality on firm performance.

This study expands upon the research about the moderating role of CEO duality through the different board subcommittees, thereby presenting it as an instrument that greatly enhances firm performance. In this sense, this moderating role preserved firm performance when the agency theory was previously corroborated, and the independent management of CEO duality was found to negatively impact.

This paper aims to investigate the influence of human resource management (HRM) practices on the level of innovativeness observed within the service sector of Ghana, taking into account the potential mediating role of innovation capability.

The research used a quantitative methodology to fulfill the study's objectives. A Web-based survey questionnaire was designed to gather data from a sample of 168 respondents, selected through a convenient sampling technique. The proposed model was tested using the Process Macro Model 4 by Hayes in SPSS version 26.

The study’s outcomes indicate that there is no statistically significant correlation between HRM practices and firm innovativeness. However, the mediating role of innovation capability was observed to fully account for the relationship between human HRM practices and firm innovativeness. Additionally, a positive and significant association was identified between HRM practices and innovation capability, as well as between innovation capability and firm innovativeness.

It is important to note that the findings are limited to the perspective of employees within the service sector of Ghana. Therefore, future research could explore the manufacturing and/or extraction industries in Ghana to obtain a more comprehensive understanding. Furthermore, a larger sample size could be considered in future studies.

To the best of the authors’ knowledge, this study presents a novel examination of the hypothesized model within the Ghanaian context, providing valuable insights into the relationship between HRM practices, innovation capability and firm innovativeness.

The purpose of this study is to explore the intricate relationship between oil prices, house prices in the UK and Norway, and the mediating role of gold and stock prices in both the short- and long-term, unraveling these complex linkages by employing an empirical approach.

This study benefits from a comprehensive set of econometric tools, including a multiequation vector autoregressive (VAR) system, Granger causality test, impulse response function, variance decomposition and a single-equation autoregressive distributed lag (ARDL) system. This rigorous approach enables to identify both short- and long-run dynamics to unravel the intricate linkages between Brent oil prices, housing prices, gold prices and stock prices in the UK and Norway over the period from 2005:Q1 to 2022:Q2.

The findings indicate that rising oil prices negatively impact house prices, whereas the positive influence of stock market performance on housing is more pronounced. A two-way causal relationship exists between stock market indices and house prices, whereas a one-way causal relationship exists from crude oil prices to house prices in both countries. The VAR model reveals that past housing prices, stock market indices in each country and Brent oil prices are the primary determinants of current housing prices. The single-equation ARDL results for housing prices demonstrate the existence of a long-run cointegrating relationship between real estate and stock prices. The variance decomposition analysis indicates that oil prices have a more pronounced impact on housing prices compared with stock prices. The findings reveal that shocks in stock markets have a greater influence on housing market prices than those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices.

This study may have several limitations. First, the model does not include all relevant macroeconomic variables, such as interest rates, unemployment rates and gross domestic product growth. This omission may affect the accuracy of the model’s predictions and lead to inefficiencies in the real estate market. Second, this study does not consider alternative explanations for market inefficiencies, such as behavioral finance factors, information asymmetry or market microstructure effects. Third, the models have limitations in revealing how predictors react to positive and negative shocks. Therefore, the results of this study should be interpreted with caution.

These findings hold significant implications for formulating dynamic policies aimed at stabilizing the housing markets of these two oil-producing nations. The practical implications of this study extend to academics, investors and policymakers, particularly in light of the volatility characterizing both housing and commodity markets. The findings reveal that shocks in stock markets have a more profound impact on housing market prices compared with those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices.

These findings could also serve as valuable insights for future research endeavors aimed at constructing models that link real estate market dynamics to macroeconomic indicators.

Using a variety of econometric approaches, this paper presents an innovative empirical analysis of the intricate relationship between euro property prices, stock prices, gold prices and oil prices in the UK and Norway from 2005:Q1 to 2022:Q2. Expanding upon the existing literature on housing market price determinants, this study delves into the role of gold and oil prices, considering their impact on industrial production and overall economic growth. This paper provides valuable policy insights for effectively managing the impact of oil price shocks on the housing market.

This research aims to highlight the connection of entrepreneurial leadership with improved organizational outcomes through employee-driven factors of creativity and behavior. It addresses certain existing research gaps concerning the interaction of leadership practices with organizational performance.

A quantitative cross-sectional design was employed to analyze the interaction among the study variables. Data was collected from 414 employees across various industries in Punjab, Pakistan through an adapted questionnaire which was in structured form. Smart Pls 4 and SPSS were used for analysis of the collected data.

The findings indicate positive and significant effect of entrepreneurial leadership on organizational performance, wherein employee creativity and behavior are the key mediators. The study shows that high levels of employee creativity and positive behavior are directly linked to improved performance metrics in organizations led by entrepreneurial leaders. This consequently underscores the need of creating an environment which encourages creativity and supports positive employee behaviors required for entrepreneurial leadership.

This research enriches the academic discourse by quantitatively confirming the mediating role of employee creativity and behavior between entrepreneurial leadership and organizational performance. Unlike previous studies which focused mainly on direct effects or less quantifiable leadership aspects, this study provides empirical evidence supporting a model where employee attributes significantly impact organizational success under entrepreneurial leadership. This insight is valuable for leaders and practitioners aiming to utilize entrepreneurial leadership in dynamic business settings.

This paper aims to examine the key antecedents and challenges faced by Malaysian small and medium-sized enterprises (SMEs) and the suggestion for the government to support SMEs in implementing sustainable practices.

In-depth interviews were chosen and conducted with seven SME owner-managers from Kuala Lumpur or Selangor, chosen through a purposive sampling technique. The data was analyzed thematically using NVivo 12 software. The study also extended the resource-based view theory by incorporating sustainable practices as an advantage for SMEs in the competitive business environment.

This study discovers the antecedents of sustainable practices are awareness, pressures, competitiveness and company image. According to the data, all SME owner-managers indicate that awareness is the main reason for implementing sustainable practices. The consequences of implementing sustainable practices in SMEs are financial issues, limited knowledge and skills and a lack of resources when implementing sustainable practices. The current study also suggests the government provides financial and non-financial support to encourage sustainability among the SMEs.

This paper may also provide the policymakers, SME Corporations, investors and SME owner-managers with an understanding of the current sustainable practices among SMEs. It also helps formulate policies, plans and actions to support SMEs in implementing sustainable practices.

The findings of this study contribute to the existing literature by highlighting the role of sustainable practices in enhancing firm performance while advancing the RBV theory in the context of Malaysian SMEs. This research fills a research gap by examining sustainability’s specific antecedents and consequences within this sector.

Megaprojects exert a significant impact on sustainable development, and it is imperative for stakeholders to collectively ensure their development occurs in a socially responsible manner. While there has been a growing focus on the involvement of megaprojects in social responsibility, scant attention has been given to understanding the collective actions of stakeholders in implementing social responsibility within these projects. Specifically, the institutional mechanism leading megaproject stakeholders to engage in socially responsible collective action is largely unexplored. To fill this gap, this study primarily aims to explore the institutional antecedents influencing socially responsible collective action in megaprojects.

Drawing on institutional theory, this study empirically examines the factors influencing socially responsible collective action in megaprojects. An online questionnaire survey was administered to collect data from 365 participants engaged in mega water transfer projects in China. The data analysis employed the partial least squares structural equation modeling technique.

The findings from the partial least squares analyses indicate that coercive isomorphism, mimetic isomorphism, and normative isomorphism all demonstrate positive associations with stakeholders’ intention to engage in socially responsible collective action. Moreover, the findings also show a positive correlation between stakeholders’ intention and their behavior in participating in socially responsible collective action within megaprojects. Additionally, coercive isomorphism positively moderates the connection between mimetic isomorphism and the intention to engage in SRCA, while negatively moderates the relationship between normative isomorphism and the intention to undertake socially responsible collective action.

This study enriches the existing body of knowledge by identifying coercive, mimetic, and normative isomorphism as antecedents to adopting socially responsible collective action in megaprojects. Furthermore, the study enhances our comprehension by demonstrating that stakeholders’ intention to fulfill social responsibility translates into tangible actions. The implications and recommendations provided shed light on how various types of institutional isomorphism can be used to encourage stakeholders to embrace socially responsible collective action in megaproject management.

This study investigates the effects of diversity and specialty on the performance of public research and development (R&D) teams and addresses a gap in research that has largely focused on diversity without adequately considering specialty. It explores the influence of educational background and level, as aspects of diversity, and specialty on team performance and innovation, particularly among leaders and members.

Employing panel data from the National Science and Technology Information Service and a modified rank-normalized impact factor index for innovation performance, this study differentiates between educational background and level. It examines their influence on the performance of public R&D teams by focusing on the dynamics between diversity and specialty in leader and member groups.

The study finds that diversity in educational level boosts performance in member groups, whereas “leaders” performance is more closely linked to their educational background and specialty. The results underscore the importance of managing educational diversity and specialty within leader and member groups and highlight the need to avoid a unilateral emphasis on singular necessity.

This study’s novelty lies in its examination of the influence of educational diversity and specialty on innovation performance within the framework of inter-organizational public R&D teams, considering the interaction between these factors among leaders and members. It offers new insights for establishing inter-organizational teams and contributes a unique perspective to the literature on innovation management.

This study aims to investigate the impact of dividend policy on a firm’s participation in corporate social responsibility (CSR)-related activities in the context of Pakistani firms. Furthermore, the role of the board governance mechanism in dividend policy-CSR is investigated.

The study’s sample consists of 115 nonfinancial Pakistan Stock Exchange-listed firms from 2010 to 2021. A multidimensional financial method is used to assess the firm’s CSR engagement, and dividend policy is assessed using the dividend payout ratio and dividend yield. The authors used the fixed effect model and the random effect model to fulfill the study’s objectives. Furthermore, the system-generalized method of moment estimation technique is used to test the robustness of the result. In addition, the authors perform reverse causality analysis and investigate the effect of financial constraints on the dividend policy–CSR relationship.

The authors find that dividend policy has a significant positive impact on CSR. The authors also find that dividend policy is significantly positively associated with components of CSR, i.e. donation, employee welfare and research and development. Furthermore, the authors find that the board governance mechanism strengthens this positive relationship between dividend policy and CSR.

The government and authorities must mandate or at least encourage enterprises to pay dividends as doing so not only keeps shareholders happy but also encourages firms to make CSR initiatives to balance stakeholders. Furthermore, the regulator should take steps to strengthen the board governance structure as it strengthens the positive dividend policy–CSR relationship.

Although little previous research has focused on the CSR-dividend policy link, the authors believe that this is the first study to look at the influence of dividend policy on CSR and the moderating impact of board governance mechanisms in an emerging country, namely, Pakistan.

The purpose of this study is to provide a holistic understanding of the factors that either promote or hinder the adoption of artificial intelligence (AI) in supply chain management (SCM) and operations management (OM). By segmenting the AI lifecycle and examining the interactions between critical success factors and critical failure factors, this study aims to offer predictive insights that can help in proactively managing these factors, ultimately reducing the risk of failure, and facilitating a smoother transition into AI-enabled SCM and OM.

This study develops a knowledge graph model of the AI lifecycle, divided into pre-development, deployment and post-development stages. The methodology combines a comprehensive literature review for ontology extraction and expert surveys to establish relationships among ontologies. Using exploratory factor analysis, composite reliability and average variance extracted ensures the validity of constructed dimensions. Pearson correlation analysis is applied to quantify the strength and significance of relationships between entities, providing metrics for labeling the edges in the resource description framework.

This study identifies 11 dimensions critical for AI integration in SCM and OM: (1) setting clear goals and standards; (2) ensuring accountable AI with leadership-driven strategies; (3) activating leadership to bridge expertise gaps; (4) gaining a competitive edge through expert partnerships and advanced IT infrastructure; (5) improving data quality through customer demand; (6) overcoming AI resistance via awareness of benefits; (7) linking domain knowledge to infrastructure robustness; (8) enhancing stakeholder engagement through effective communication; (9) strengthening AI robustness and change management via training and governance; (10) using key performance indicators-driven reviews for AI performance management; (11) ensuring AI accountability and copyright integrity through governance.

This study enhances decision-making by developing a knowledge graph model that segments the AI lifecycle into pre-development, deployment and post-development stages, introducing a novel approach in SCM and OM research. By incorporating a predictive element that uses knowledge graphs to anticipate outcomes from interactions between ontologies. These insights assist practitioners in making informed decisions about AI use, improving the overall quality of decisions in managing AI integration and ensuring a smoother transition into AI-enabled SCM and OM.

A company’s dividend policy is determined not just by its strategy but also by the qualities of its managers, particularly overconfidence. As a result, the purpose of this study is to explore the impact of CEO overconfidence on dividend policy using the dividend payout ratio and dividend yield ratio.

The study’s sample includes 170 non-financial enterprises listed on the Pakistan Stock Exchange between 2011 and 2022. Furthermore, we used corporate governance and firm-specific factors as control variables. The fixed effect model based on the Hausman test result and dynamic system GMM estimation technique was employed in the analysis. Furthermore, the dividend dummy variable and alternative proxies of dividend payments are used to ensure the results are robust.

The findings indicate that CEOs’ overconfidence positively impacts dividend payout and dividend yield ratios. Further analysis reveals that board size and remuneration committee significantly impact dividend payment among corporate governance control variables, while block holding has a negative effect. Among firm-specific control variables, the results suggest that firm size, profitability, and market-to-book ratio are significantly positively associated. In contrast, the coefficient of variation and debt ratio are inversely associated with dividend payments.

Managerial overconfidence benefits shareholders by increasing dividend payouts, but firms may struggle in the long run if they do not have adequate retained earnings to meet capital requirements. Dividends and retained earnings must be balanced to make enough funds available for long-term investment in capital-intensive projects.

Although little previous research has focused on the managerial overconfidence-dividend policy relationship, the authors believe this is the first study to test this relationship generally in emerging markets, particularly Pakistan.