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This paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.

The study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.

The use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.

Integrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.

This study aims to investigate the effects of three significant events – the 1994 CFA currency depreciation, the 2008 Global Financial Crisis (GFC), and instances of political coups – on the relationships between FDI inflow, economic growth, and governance within the Central African Economic and Monetary Community (CEMAC) countries. It seeks to evaluate how these events influence the linkages between FDI, economic growth, and governance, to aid the understanding of responses to external shocks and internal political disruptions.

The study employs a panel Vector Autoregression (VAR) analysis using data from 1990 to 2019 by exploring the dynamic relationships among FDI inflow, economic growth, and aggregate governance indicators within the CEMAC sub-region. The analysis was conducted utilizing the EViews software package, facilitating robust examination through the introduction of the Bayesian VAR to facilitate the interpretation of parameters and the data.

The results indicate that, contrary to initial hypotheses, growth and governance do not emerge as determinants for attracting FDI within the CEMAC sub-region. However, governance stands out as a crucial determining factor for economic growth. Furthermore, the study suggests that the 1994 CFA currency depreciation, the 2008 GFC, and instances of political coups did not significantly impact FDI, growth, and governance within these countries. Despite the potential vulnerability of the CEMAC countries to external shocks, the effects of these events on the dynamics of FDI, economic growth, and governance were not apparent. Notably, political instability, as evidenced by coups, emerges as a significant factor shaping the interactions between FDI, growth, and governance in CEMAC countries.

These findings have significant implications for policymakers and stakeholders in the CEMAC countries. Understanding that governance has a central role in driving economic growth places great importance of prioritizing governance reforms to foster sustainable development. Moreover, the identification of political instability as a key determinant affecting the relationships between FDI, growth, and governance emphasizes the need for political stability and effective governance structures to attract and sustain FDI inflows as well as foster economic growth.

This study contributes to the existing literature by offering insights into the linkages between FDI, economic growth, governance, and external shocks within the CEMAC sub-region. By examining the specific impacts of the 1994 CFA currency depreciation, the 2008 GFC, and political coups on these dynamics, the study provides original perspectives on the resilience of CEMAC countries to external and internal disruptions.

This paper aims to examine the relationship between corporate governance mechanisms and firm performance in Qatari non-financial firms over a nine-year period, including the period of high uncertainty caused by the COVID-19 pandemic.

The study uses data from Refinitiv and employs panel data econometric techniques, namely generalized least squares (GLS), to analyze the impact of board characteristics (board size, board meetings, board gender diversity, board-specific skills, board independence), audit committee features (existence of audit committee, audit committee independence), CEO duality and management scores on both accounting and market performance of Qatari firms. Control variables include firm size, age, leverage and industry classifications.

The findings suggest that board-specific skills positively influence firm performance, while board size and gender diversity exhibit a non-significant impact. Audit committee independence enhances accounting performance but does not significantly affect market performance. Surprisingly, management scores show a significant yet negative impact on certain financial measures, indicating the need for further investigation.

These insights provide valuable guidance for policymakers, investors and corporate leaders, emphasizing the importance of tailored governance practices in Qatar's unique business landscape.

This study provides unique insights into the governance-performance relationship in the context of Qatar, a region with limited existing research. The inclusion of the COVID-19 period adds a contemporary dimension to the analysis, highlighting the resilience and adaptability of corporate governance practices during times of crisis.

This study aims to investigate the determinants of anti-corruption disclosures by construction firms in Asia-Pacific countries.

The sample comprises construction companies from seven Asia-Pacific countries from 2015 to 2019. The authors hand-collected data on anti-corruption disclosures by using content analysis.

This study provides empirical evidence that government ownership, country-level accounting competence and high-quality auditors increase companies’ anti-corruption disclosures. Meanwhile, this study finds that uncertainty avoidance does not affect companies’ anti-corruption disclosures.

This study has a number of implications. First, government and professional accountant organizations need to improve accountants’ knowledge and competence through education, training and continuous professional development. Second, public accounting firms need to ensure the quality of their auditors, particularly in the technical competence in financial and nonfinancial reporting. Finally, universities must improve and update their curriculum regarding nonfinancial reporting issues.

This study is among the first to examine anti-corruption disclosure practices in the most corrupted settings, i.e. the construction industry in Asia-Pacific countries. It uses the isomorphism perspective to explain the influence of government ownership, country-level accounting competence and high-quality auditors on anti-corruption disclosure transparency. The number of prior studies investigating this association is very limited. Moreover, disclosures of anti-corruption information are complex and sensitive; thus, coercive, normative and mimetic pressures are required to achieve higher transparency and sustainability.

This study seeks to evaluate gender diversity within family members and analyze its effects on financial distress in firms listed in Vietnam.

The research employs a Generalized Method of Moments (GMM) regression model to assess the impact of gender diversity on corporate board performance, including factors such as the presence and proportion of female directors, female directors with family ties and the gender of CEOs. The study covers 152 listed companies on the HNX and HOSE exchanges from 2015 to 2022. The GMM model is chosen for its robustness in dealing with endogeneity issues and its ability to provide consistent estimates in the presence of potential correlation between explanatory variables and unobserved effects. This approach allows for a more accurate evaluation of how gender diversity influences operational efficiency and how these companies manage financial difficulties within the sample period.

Our research shows that diversity on the Board of Directors (BOD) as well as female CEO employment not only does not reduce the financial distress of businesses but also increases this situation. However, being both a female and a family member of the BOD is negatively related to financial distress. This can help female members who have connections with the family contribute to the work of adjusting and monitoring the business's operations to suit the family's goals, contributing to improving the operational efficiency of the business. BOD maximizes profits and contributes to promoting the company's sustainable development goals. From there, limited ability to travel and financial exhaustion.

The empirical results obtained from this study contribute to building a solid knowledge base, supporting businesses in the policymaking process and providing empirical evidence to enrich learning materials.

This study provides empirical evidence on how gender diversity influences the financial challenges of businesses, especially within the context of publicly listed companies in Vietnam. It stands out from previous literature by specifically focusing on listed companies in Vietnam. By analyzing the impact of gender diversity on financial difficulties, this study also clarifies how various factors can influence management and business development.

This study aims to assess if the voluntary reporting of adjusted earnings before interest, taxes, depreciation and amortization (EBITDA), a widely used non-generally accepted accounting principles (GAAP) measure, has effects on information asymmetry and value relevance and how the adjustments to GAAP earnings made to derive it contribute to these effects. This study focuses on firms from two countries with contrasting institutional settings, Canada and France.

Relying on multivariate analyses and using Heckman’s procedure to address the sample self-selection issue, this study first estimates the likelihood of a firm to report adjusted EBITDA. Then, this study examines if adjusted EBITDA, as well as the adjustments made to GAAP earnings to derive adjusted EBITDA (adjustments), affect a firm’s information asymmetry and its value. These adjustments are essentially GAAP-grounded items that are discarded by management to derive non-GAAP adjusted EBITDA. The dependent variables are share price volatility, as a proxy for information asymmetry, alongside market-to-book and stock market return as indicators of value.

In terms of the used sample, results suggest that Canadian firms are much more likely to report adjusted EBITDA than French firms. Chief executive officer (CEO) attributes (CEO power) appears to increase such likelihood. Moreover, for both Canadian and French firms, adjusted EBITDA is associated with reduced stock market volatility, an indication of lower information asymmetry, as well as higher market-to-book and returns, suggesting value relevance. The results also indicate that investors view the adjustments to GAAP earnings made by management to derive adjusted EBITDA as not value relevant (similar to noise). The GAAP-grounded elements that management discard to derive adjusted EBITDA actually increase information asymmetry.

This study adds to prior research on the interface between a CEO attributes and governance and non-GAAP reporting. This study also provides evidence that, despite very different institutional settings, non-GAAP reporting conveys relevant information to capital markets’ participants in both France and Canada. Hence, a country’s institutional setting may have a differential impact on the disclosure choice but not on the resulting value relevance of such disclosure. Finally, this study extends the non-GAAP literature by examining the value relevance of a widely used yet under-researched measure, adjusted EBITDA.

The smart sustainable cities (SSC) concept has a wide acknowledgement amongst governments and societies that deal with emerging technology and help in developing better urban communities. However, the fact that citizens' participation (CP) is not adherent to the current policies and governance often boosts their aspirations of decision-making to become smart cities. This paper aims to identify SSC variables and, more importantly, rank, categorise and discuss the factors towards implementing SSC by engaging, empowering and enabling citizens to participate in the urban development of SSC.

A comprehensive literature review identified 38 factors in the CP process. Those factors were used to design an online questionnaire administered to the respondents. A total of 164 valid responses were collected. A two-stage statistical analysis was adopted. First, the Relative Importance Index (RII) was used to rank and prioritise the importance of the factors that affect the current policies and agenda. Second, factor analysis was utilised to categorise and group those factors.

This study founds four significant factors that help in implanting SSC: “knowledge of smart sustainable cities”, “awareness of smart sustainable cities”, “willingness of the citizens to participate” and “opinion on the current agenda of the government's role”.

This study has a few limitations which can be considered in future studies. First, the response rate of the participant is relatively low (163), so sampling a larger segment will support the broader perception of the citizens.

The outcome of this paper underlines the need for the successful implementation of smart cities by adopting CP in the process of impacting policies and governance. Particularly, it identifies factors that help cities and policymakers in engaging CP in developing new policies and revising existing policies for promoting SSC.

There is a need to investigate the most critical factors that influence CP for implementing SSC. These factors have not been adequately examined in extant literature.

This study aims to investigate the impact of brain drain on government AI readiness in EU member countries, considering the distinctive governance characteristics, macroeconomic conditions and varying levels of ICT specialists.

The research employs a dynamic panel data model using the System Generalized Method of Moments (GMM) to analyze the relationship between brain drain and government AI readiness from 2018 to 2022. The study incorporates various control variables such as GDP per capita growth, government expenditure growth, employed ICT specialists and several governance indicators.

The results indicate that brain drain negatively affects government AI readiness. Additionally, the presence of ICT specialists, robust governance structures and positive macroeconomic indicators such as GDP per capita growth and government expenditure growth positively influence AI readiness.

Major limitations include the focus on a specific region of countries and the relatively short period analyzed. Future research could extend the analysis with more comprehensive datasets and consider additional variables that might influence AI readiness, such as the integration of AI with emerging quantum computing technologies and the impact of governance reforms and international collaborations on AI readiness.

The theoretical value of this study lies in providing a nuanced understanding of how brain drain impacts government AI readiness, emphasizing the critical roles of skilled human capital, effective governance and macroeconomic factors in enhancing AI capabilities, thereby filling a significant gap in the existing literature.

This research fills a significant gap in the existing literature by providing a comprehensive analysis of the interaction between brain drain and government AI readiness. It uses control variables such as ICT specialists, governance structures and macroeconomic factors within the context of the European Union. It offers novel insights for policymakers to enhance AI readiness through targeted interventions addressing brain drain and fostering a supportive environment for AI innovation.

This study aims to obtain governance strategies for managing the complexity of megaprojects by analyzing the impact of individual factors and their configurations using the fuzzy-set qualitative comparative analysis (fsQCA) method and to provide references for project managers.

With the continuous development of the economy, society and construction industry, the number and scale of megaprojects are increasing, and the complexity is becoming serious. Based on the relevant literature, the factors affecting the complexity of megaprojects are determined through case analysis, and the paths of factors affecting the complexity are constructed for megaprojects. Then, the fsQCA method is used to analyze the factors affecting the complexity of megaprojects through 245 valid questionnaires from project engineers in this study.

The results support the correlation between the complexity factors of megaprojects, with six histological paths leading to high complexity and seven histological paths leading to low complexity.

It breaks the limitations of the traditional project complexity field through a “configuration perspective” and concludes that megaproject complexity is a synergistic effect of multiple factors. The study is important for enriching the theory of megaproject complexity and providing complexity governance strategies for managers in megaproject decision-making.

This paper aims to illuminate the nuanced dynamics of green supply chain management (GSCM), specifically focusing on the intersections of supplier relationships, supplier governance and organizational agility. Recognizing a gap in the understanding of how these elements confluence to promote green purchasing, the paper uses a quantitative study on data collected from the Australian food industry. Advanced analysis techniques provide empirical evidence underscoring the pivotal roles these elements play, expanding on current GSCM literature within a resource-based view.

This study, based on a questionnaire sent to Australian food professionals, used higher-order reflective constructs to assess supplier relationships and governance. Data was analyzed using partial least squares structural equation modeling and Hayes PROCESS, considering factors like firm revenue and manager experience. Both the reliability of measures and mediation hypotheses were stringently validated using established guidelines.

The comprehensive study validated supplier governance's key influence on green purchasing and supplier relationships. Notably, organizational agility emerged as a crucial mediator, underscoring the interplay of these constructs. Concurrently, the reflective measurement model exhibited robust validity and reliability. Interestingly, demographic factors such as company size, revenue and managerial experience showed no discernible impact on green purchasing practices.

In the Australian food sector, supplier governance and relationships are pivotal for advancing green purchasing. This study emphasizes the value of organizational agility in amplifying these practices. Managers, when aligning with supplier relationships enhanced by communication and mutual aid, can foster robust green initiatives. Embracing these insights and the critical importance of supplier governance, managers can drive more sustainable, informed supply chain decisions in the industry.

In pursuit of understanding the relationship between supplier governance, supplier relationships and green purchasing, this research uniquely situates itself within the resource-based view (RBV) to reveal critical theoretical and practical implications. By focusing on the Australian food industry, the study spotlights the often-overlooked mediating role of organizational agility in linking supplier relationships with green purchasing efforts. In doing so, this research not only strengthens the argument for fortified supplier relationships – as a catalyst for enhancing agility and thereby green practices – but also re-contextualizes the RBV in a fresh light. This new perspective provides managers with an enriched model, emphasizing the imperative of solid supplier governance for sustainable, agile and green supply chain operations in the food domain.