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Motivated by concerns and the ongoing debate regarding auditors’ independence and impartiality, this paper aims to examine the impact of the financial crisis on non-audit services (NAS) provision and audit quality (main and robust variables) in the four largest Eurozone countries together during the global financial crisis (GFC).

The authors used a time trend OLS model with a dummy variable as well as a baseline model with a dummy and control variables accounting for multicollinearity, considering the characteristics of the GFC.

It documented a positive (negative) relationship between NAS provision (audit quality) and crisis in four Eurozone countries, Germany, France, Italy and Spain, in the context of a baseline approach, supporting the hypotheses that there are higher non-audit fees and a lower audit quality. Moreover, it is revealed that NAS provision and audit quality behave similarly, using a time trend approach, during the GFC. Considering the role of the auditor specialization or not (Big4 vs non-Big4) in companies, a significant effect from crisis on non-audit fees and audit quality for the four countries under the baseline approach is found. In general, the findings persist for NAS provision and audit quality using the robust methods of the time trend and panel OLS approaches. Multicollinearity was not found to affect the findings of the regressions.

The study provides important implications for firm managers, auditors and regulatory authorities.

To the best of the author’s knowledge, it is the first time that the impact of the crisis on non-audit fees and audit quality is investigated during the GFC with two sets of OLS models (a time trend OLS with a dummy and a panel OLS with a dummy and control variables) in four largest Eurozone countries together.

The purpose of this study is to analyse cyberfraud in the South African banking industry using a multiple regression approach and develop a predictive model for the estimation and prediction of financial losses due to cyberfraud.

To mitigate the occurrence of cyberfraud, this study uses the multiple regression approach to correlate the relationship between financial loss and cyberfraud activities. The cyberfraud activities in South Africa are classified into three, namely, digital banking application, online and mobile banking fraud. Secondary data that captures the rate of cyberfraud occurrences within these three major categories with their resulting financial losses were used for the multiple regression analysis that was carried out in the Statistical Package for Social Science (SPSS, 2022 environment).

The results obtained indicate that the South African financial institutions still incur significant financial losses due to cyberfraud perpetration. The two main independent variables used to estimate the magnitude of financial loss in the South Africa’s banking industry are online (internet) banking fraud (X2) and mobile banking fraud (X3). Furthermore, a multiple regression model equation was developed for the prediction of financial loss as a function of the two independent variables (X2 and X3).

This study adds to the literature on cyberfraud mitigation. The findings may promote the combat against cyberfraud in the South Africa’s financial institutions. It may also assist South Africa’s financial institutions to predict the financial loss that financial institutions can incur over time. It is recommended that South Africa’s financial institutions pay attention to these two key variables and mitigate any associated risks as they are crucial in determining their profitability.

Existing literature indicated significant financial losses to cyberfraud perpetration without establishing any relationship between the magnitude of losses incurred and the prevalent forms of cyberfraud. Thus, the novelty of this study lies in the analysis of cyberfraud in the South African banking industry using a multiple regression approach to link financial losses to the perpetration of the prevalent forms of cyberfraud. It also develops a predictive model for the estimation and projection of financial losses.

The purpose of this paper is to investigate the determinants of capital expenditures (CAPEX) in the theme park industry, particularly following the financial stresses induced by the COVID-19 pandemic. CAPEX drivers are poorly understood due to the idiosyncratic nature of this industry, which is dominated by a few large players. It also aims to identify the variables influencing both the growth and maintenance components of CAPEX among U.S. theme park operators.

The paper uses contingency theory to analyze both financial and nonfinancial data from U.S. theme park operators between 2009 and 2021. The paper also uses partial least squares structural equation modeling to manage issues of multicollinearity and to ensure robustness in the findings.

The analysis identifies several key determinants of CAPEX. Resources and the presence of competing theme parks in proximity to an operator’s parks positively affect CAPEX. Conversely, higher leverage, dividend payouts, intellectual property (IP) dominance and population density in areas with their active parks correlate with reduced CAPEX. The paper also notes distinct trends in maintenance versus growth CAPEX post-COVID-19, with maintenance CAPEX increasing as operators invest in existing assets while growth CAPEX trending downwards.

The study’s scope is confined to U.S.-based theme park operators, limiting the generalizability of the findings internationally. Moreover, data limitations restrict the sample size due to the consolidation of the industry players, potentially affecting the statistical power of the analysis.

This research offers significant insights for theme park operators, industry analysts and policymakers. Understanding the factors influencing CAPEX can aid operators in strategic planning and investment decisions, especially in a post-pandemic economic environment where efficient capital allocation will be crucial for recovery and growth. A major contribution of this research is the development of a new measure for IP dominance, which allows theme park operators to quantify the impact of IP on their investment strategies.

This study contributes uniquely by incorporating both financial and nonfinancial determinants in analyzing CAPEX within the theme park industry, a sector significantly impacted by the pandemic. It introduces novel metrics for assessing the impact of IP on CAPEX and differentiates between the factors driving maintenance and growth expenditures. The findings enrich the existing literature on hospitality management and provide actionable insights that could guide the strategic financial decisions of theme park operators.

The purpose of this paper is to develop an index for measuring urban house price affordability that integrates spatial considerations and to explore the drivers of housing affordability using the post-least absolute shrinkage and selection operator (LASSO) approach and the ordinary least squares method of regression analysis.

The study is based on time-series data collected from 2005 to 2021 for 256 prefectural-level city districts in China. The new urban spatial house-to-price ratio introduced in this study adds the consideration of commuting costs due to spatial endowment compared to the traditional house-to-price ratio. And compared with the use of ordinary economic modelling methods, this study adopts the post-LASSO variable selection approach combined with the k-fold cross-test model to identify the most important drivers of housing affordability, thus better solving the problems of multicollinearity and overfitting.

Urban macroeconomics environment and government regulations have varying degrees of influence on housing affordability in cities. Among them, gross domestic product is the most important influence.

The paper provides important implications for policymakers, real estate professionals and researchers. For example, policymakers will be able to design policies that target the most influential factors of housing affordability in their region.

This study introduces a new urban spatial house price-to-income ratio, and it examines how macroeconomic indicators, government regulation, real estate market supply and urban infrastructure level have a significant impact on housing affordability. The problem of having too many variables in the decision-making process is minimized through the post-LASSO methodology, which varies the parameters of the model to allow for the ranking of the importance of the variables. As a result, this approach allows policymakers and stakeholders in the real estate market more flexibility in determining policy interventions. In addition, through the k-fold cross-validation methodology, the study ensures a high degree of accuracy and credibility when using drivers to predict housing affordability.

In recent years, the global consumption of craft beer witnesses remarkable growth. This growth is attributed to the evolving demographics of beer consumers, particularly the emergence of a new generation known as Digitarians or Generation Z. This study aims to analyze the key determinants influencing craft beer consumption among Digitarians.

An online questionnaire is administered, and a total of 296 completed responses are included in the statistical analysis. The methodology uses logistic regressions combined with a backward selection process and variance inflation factor analysis to address multicollinearity. The logistic regressions are conducted in three steps to delve into the research objective and gain insights into the behavior of young consumers. The stepwise backward selection aids in obtaining robust coefficients as a variable selection tool.

The results shed light on how Digitarians’ preferences for craft beer are influenced by various factors, including self-perceived knowledge, alcohol content, gender, food pairings, environment and companionship.

To the best of the authors’ knowledge, this paper contributes novel insights by being the first study to explore the significance of craft beer choices among Digitarians, identifying the role of several predictors in their consumption patterns.

The objective of this article is to identify the relationships between the enablers in the implementation of Green Lean Six Sigma (GLSS) in the Mexican manufacturing industry (MMI).

To create the survey instrument, the authors did an extensive literature research, which they then applied in the MMI to find the relationships between enablers and their impact on the positive effects of implementing GLSS projects. Using exploratory and confirmatory factor analyses (EFA and CFA), the data were empirically and statistically corroborated. Furthermore, the authors validated the hypotheses that support the research using the structural equation modeling (SEM) approach in SPSS Amos.

The findings reveal that leadership has a positive impact on social and economic benefits (EcB), as well as an indirect impact on the environmental benefits (EB) of GLSS projects, with organizational involvement (OI) and performance measurement (PM) functioning as mediators.

This study represents an empirical reference for practitioners and researchers pursuing high-quality, low-cost, environmentally and socially sustainable products or processes through the implementation of GLSS projects in the manufacturing industry.

This study provides a statistically validated model using the SEM technique to represent the relationships between GLSS enablers in the MMI.

Employee green behavior contributes to the achievement of hospitality organizations’ sustainability goals. However, there is a need to examine how green human resource management (GHRM) fosters employees’ green behavior. Anchored on the conservation of resources (COR) theory, we anticipate that GHRM may have double-edged effects on employees’ organizational citizenship behavior for the environment (OCBE) via two opposing mechanisms (e.g. environmental passion and emotional exhaustion). Moreover, we expect that the relationship of GHRM on environmental passion and emotional exhaustion depends on environmentally specific empowering leadership (ESEL).

The data were garnered from 356 hospitality employees in Pakistan and analyzed using partial least squares structural equation modeling (PLS-SEM).

The findings revealed a significant and positive link between GHRM and employee OCBE and environmental passion and a significant and negative relationship between GHRM and emotional exhaustion. Similarly, the link between environmental passion and employee OCBE was significant and positive and between emotional exhaustion and employee OCBE was significant and negative. Our results indicate that the impact of GHRM on OCBE among hospitality employees was mediated by environmental passion and emotional exhaustion. Further, ESEL strengthened the association of GHRM with environmental passion while mitigating the effect of GHRM on emotional exhaustion.

Anchored on the COR theory, our study provides novel empirical evidence by investigating the mechanisms and boundary conditions between GHRM and employee OCBE nexus in the hospitality realm.

The primary purpose of this study is to explore the relationship between the unsolicited proposal (USP) and the performance of private participation infrastructure (PPI) projects in developing countries.

The main data set for this study was collected from the World Bank database consisting of 8,951 PPI projects that occurred in developing countries from 1996 to 2020. Hierarchical logistic regression was applied for investigating the effects of USPs on project success. Three moderators, namely, control of corruption, presence of local sponsor and project size were also included in the model to test the impact of their interactions with the USP on the performance of PPI projects. Further, to assess the impact of the effect of USPs, the average marginal effect was calculated. The framework used in this study consists of 18 control variables, three moderators and one noncontrolled independent variable (the USP).

The results of hierarchical logistic regression indicate that USPs have a significant and negative effect on the success of PPI projects occurring in developing countries. The negative effect of a USP weakens with the presence of local sponsors and stronger control of corruption in the host country. However, contrary to the authors’ expectations, the results show that project size does not significantly affect the association between USPs and the success of PPI projects. Moreover, the results of average marginal effects show that the negative impact of USP on the success of PPI projects ranges between 2.4% and 3.8%.

This study quantifies the negative impact of USP on the success of PPI projects in developing countries, which will be helpful for the practitioners to understand the associated risk with USP projects. Furthermore, it also identifies the moderating roles of control of corruption and the presence of local sponsors on the relationship between USP and the success of PPI projects.

Nowadays, there is a strong public interest in promoting transparency to be informed about the actions of the public sector. At the same time, there has been a significant change in society’s perceptions and concerns about sustainable development, with a marked increase in attention to this area. In this context, our main objective is to investigate the impact of transparency practices in local government on the implementation of the Sustainable Development Goals (SDGs) in Spanish municipalities.

We will analyse a sample of 84 municipalities, using the Dynamic Transparency Index published by Dyntra to measure transparency. For the level of implementation of the SDGs, we will use an index specifically created using data from the report “The SDGs in 100 Spanish Cities”, published by the Spanish Network for Sustainable Development in 2020.

Municipalities with a larger dependent population tend to achieve higher SDG levels. Municipalities with lower financial surpluses and more self-generated resources show better SDG implementation. Progressive political parties lean more towards sustainability, and coalition governments show higher SDG implementation than majority governments. Gender appears to play a minor role in SDG implementation, but male leadership is associated with higher levels. Factors such as population density and government transfers do not have a significant impact on SDG implementation levels.

This study seeks to address the lack of empirical research on the potential impact of transparency on the achievement of the SDGs, while also taking into account other socio-economic, financial and political aspects of the municipality. In doing so, it also contributes to the limited empirical literature on the determinants of the level of SDG implementation in local governments.

This paper aims to create a model of musharaka financing performance and Islamicizing agency theory to explain issues related to musharaka financing and propose solutions to these problems.

This research focuses on Islamic banks located in East Java Province, Indonesia, as the population for investigation. This study used primary data collected through a questionnaire instrument. The research adopts a mixed method approach, integrating quantitative data using the smartPLS program, qualitative data using a case study and kasyif research.

This research revealed that employee competence, Islamic business ethics and monitoring significantly impact the risk of musharaka financing. In contrast, information asymmetry does not significantly influence the risk of musharaka financing in Islamic banks. On the contrary, information asymmetry, Islamic business ethics and monitoring significantly affect the performance of musharaka financing. However, employee competence and risk of musharaka financing do not significantly influence the performance of musharaka financing in Islamic banks.

The responses to the questionnaire are analyzed from the perspective of directors and financing managers of Islamic banks who possess expertise in management and act as financing providers. However, musharaka partners who receive financing may have different perceptions and experiences of implementing musharaka financing.

Financing managers and directors at Islamic banks need to minimize the risk of musharaka financing and alleviate information asymmetry by enhancing employee competence and selecting musharaka partners capable of adhering to Islamic business ethics.

Partners of musharaka financing should enhance their Islamic business ethics. Next, other researchers should improve this study by expanding the research locations, increasing the sample size, incorporating additional variables and involving musharaka partners as respondents.

It is a new research using three methods to construct a model of musharaka financing performance. The research refines agency theory by integrating Islamic values into Sharia agency theory.