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The study aims to explore the mechanism to strengthen service recovery performance among public sector employees. Delving on the notion that ethical aspects of public leaders could serve as reliable models, the research investigated the role of ethical leadership, thriving at work and moral self-efficacy.

A quantitative approach with two waves of data collection from both supervisors' and subordinates’ perspectives in public organizations was conducted. The final sample size was 331.

Ethical leadership has a positive effect on public sector employees' thriving at work. In turn, the state of thriving at work mediates the association between ethical leadership and service recovery performance. Public servants’ moral self-efficacy moderates both the direct relationship between ethical leadership and thriving at work, as well as the indirect effect of ethical leadership on service recovery performance through thriving at work.

The research findings suggest an understanding of how ethical leadership could cultivate public service recovery performance through employees’ thriving. The common values between subordinates and leaders were found to facilitate a better translation of the leaders’ role model into employees’ psychology and behaviors.

Service providers and tourism players have introduced the green hotels concept to mitigate detrimental environmental impact. This study aimed to review the literature on green hotels based on bibliometric analysis.

In analyzing the potential and significant subject of the tourism industry and concern on environmental issues, this study evaluates the themes based on the past, present and future trends in green hotels from a bibliographic database retrieved from the Web of Science (WoS).

Several themes were identified from the role of the theory of planned behavior and predictors of consumers' intention to visit green hotels.

Implications were discussed mainly related to green hotels contribution towards sustainable tourism and its role in shaping the tourism sector's landscape. Among the practical implications include rewards by the authorities in the form of incentives or tax relief to green hotel operators, which will encourage conventional hotel transformation into green hotels. Furthermore, green hotels will be at the forefront of tourism and hospitality brands, requiring substantial green marketing initiatives. Sooner or later, opting for green hotels while traveling will be the norm among travelers.

The green hotels have emerged as a way to tackle the environmental issues related to tourism and hospitality while at the same time, allowing the industry to flourish. This research is one of the scant studies that provide a comprehensive overview about green hotel studies and offer future research agendas.

This paper aims to examine the relationship between environmental, social and governance (ESG) performance and text-based corporate innovation based on a sample of India’s ESG-disclosed companies from financial year 2011–2012 to 2021–2022. Further, it endeavors to investigate the moderating role of heightened climate policy uncertainty (CPU) in this relationship.

To verify these hypotheses, the authors first construct a corporate innovation index for India using a sophisticated natural language processing model on each firm-year’s management discussion and analysis reports. Next, the authors use a panel fixed effects model to examine how ESG performance impacts corporate innovation and its moderating and mediating components.

Empirical evidence suggests higher ESG performance bolsters text-based corporate innovation. After addressing endogeneity issues with the system GMM estimator and two-stage least square IV, incorporating additional control variables and using alternative innovation measurement, the baseline results remain unchanged. Next, the authors find this link is mediated by reducing information asymmetry, financial constraints and managerial myopia. The authors also observe that increased CPU favorably moderates the ESG-innovation nexus. Additionally, the heterogeneity research shows that ESG only positively impacts innovation in specific industries and firms in their growth and mature life cycle phases.

The results demonstrate that sustainable and ethical business practices can foster corporate innovation. Thus, this study may provide valuable insight for investors, managers and policymakers.

To the best of the authors’ knowledge, this is the first study to examine the relationship between ESG performance and text-based corporate innovation using a machine learning model.

This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.

The study uses the supply and demand approach and provides a literature review of previous studies to develop four main hypotheses using four determinants of apartment price volatility in Vietnam: gross domestic product (GDP), inflation rate, lending interest rate and construction cost. Subsequently, the Vector Error Correction Model (VECM) is used to analyze a monthly data sample of 117.

The research highlights the important role of construction costs in apartment price volatility in the two largest cities. Moreover, there are significant differences in how all four determinants affect apartment price volatility in the two cities. In addition, there is a long-run relationship between the determinants and apartment price volatility in both Hanoi and Ho Chi Minh City.

Limitations related to data transparency of the real estate industry in Vietnam lead to three main limitations of this paper, including: this paper only collects a sample of 117 valid monthly observations; apartment price volatility is calculated by changes in the apartment price index instead of apartment price standard deviation; and this paper is limited by only four determinants, those being GDP, inflation rate, lending interest rate and construction cost.

The study provides evidence of differences in how the above determinants affect apartment price volatility in Hanoi and Ho Chi Minh City, which helps investors and policymakers to make informed decisions relating to the real estate market in the two biggest cities in Vietnam.

This paper makes several recommendations to policymakers and investors in Vietnam to ensure a stable real estate market, contributing to the stability of the national economy.

This paper provides a new approach using VECM to analyze both long-run and short-run relationships between macroeconomic and sectoral independent variables and apartment price volatility in the two biggest cities in Vietnam.

This study examines the role of integrated reporting (IR) and earnings management (EM) practices on the combined assurance model (CA) and the firms’ capital market liquidity (FCML) performance nexus. Based on a moderated mediation analysis, it examines the channels through which CA quality influences FCML performance.

The study uses data from the top 100 firms on the Johannesburg Stock Exchange (JSE) based on market capitalisation, and a bootstrap moderated mediation model through Hayes Process Macro was adopted.

The findings show that although IR quality mediates the CA quality and FCML performance nexus, the mediation is conditional on firms’ practices of EM, implying that the value of CA through IR to capital market participants is more pronounced for firms engaged in high EM practices.

The findings emphasise the importance of the CA model in streamlining assurance processes, reducing assurance costs and enhancing the credibility of financial and sustainability reports, thereby improving capital market performance. Hence, it is a valuable assurance framework for International Financial Reporting Standards (IFRS) S1 and S2 compliance.

This study uniquely lines up the CA model, IR quality and EM practices to project the value relevance and channel(s) through which the effective communication of the CA model influences FCML performance.

The study aims to discover the spatial relationship between financial development, energy consumption and economic growth in 11 ASIA countries, using panel data from 1980 to 2016.

The study applies three popular spatial models, namely, (1) spatial error model (SEM), (2) spatial autoregressive model (SAR) and (3) spatial Durbin model (SDM), to explore the direct and spillover effect of financial development and energy consumption on economic growth. Furthermore, a novel test proposed by Juodis et al. (2020) is employed to check the Granger non-causality between each pair of variables.

The empirical outcomes found direct and spillover effects of financial development and energy consumption on economic growth in 11 ASIA countries. Accordingly, an expansion of the financial development in country i is beneficial for the growth of the host country and neighboring countries, and vice versa. However, an increase in energy consumption in country i leads to a decrease in the economic growth of neighboring countries. The test of Granger non-causality indicated a bidirectional causality between financial development and economic growth, and unidirectional causality running from economic growth to energy consumption.

Spillover effects of financial development and energy consumption on growth have largely been ignored in previous studies, especially in emerging countries. Thus, the study enriches the literature and provides some policy implications for ASIA countries.

Spillover effects of financial development and energy consumption on growth have largely been ignored in previous studies, especially in emerging countries. Thus, the study enriches the literature and provides some policy implications for ASIA countries.

Spillover effects of financial development and energy consumption on growth have largely been ignored in previous studies, especially in emerging countries. Thus, the study enriches the literature and provides some policy implications for ASIA countries.

Incipient detection of pavement deterioration (such as crack identification) is critical to optimizing road maintenance because it enables preventative steps to be implemented to mitigate damage and possible failure. Traditional visual inspection has been largely superseded by semi-automatic/automatic procedures given significant advancements in image processing. Therefore, there is a need to develop automated tools to detect and classify cracks.

The literature review is employed to evaluate existing attempts to use Hough transform algorithm and highlight issues that should be improved. Then, developing a simple low-cost crack detection method based on the Hough transform algorithm for pavement crack detection and classification.

Analysis results reveal that model accuracy reaches 92.14% for vertical cracks, 93.03% for diagonal cracks and 95.61% for horizontal cracks. The time lapse for detecting the crack type for one image is circa 0.98 s for vertical cracks, 0.79 s for horizontal cracks and 0.83 s for diagonal cracks. Ensuing discourse serves to illustrate the inherent potential of a simple low-cost image processing method in automated pavement crack detection. Moreover, this method provides direct guidance for long-term pavement optimal maintenance decisions.

The outcome of this research can help highway agencies to detect and classify cracks accurately for a very long highway without a need for manual inspection, which can significantly minimize cost.

Hough transform algorithm was tested in terms of detect and classify a large dataset of highway images, and the accuracy reaches 92.14%, which can be considered as a very accurate percentage regarding automated cracks and distresses classification.

The purpose of this study is to assess the extent of Sustainable Development Goals (SDGs) disclosures among Vietnamese listed firms and identify key influencing factors.

The authors analyse SDG-related disclosures of the top 100 listed firms by market capitalisation on the Hanoi and Ho Chi Minh stock exchanges as of December 31, 2023, using an established reporting methodology. Data were sourced from annual, corporate governance, ESG, financial and sustainability reports. A regression model was used to examine factors influencing SDG disclosure.

SDG disclosure among Vietnamese firms is relatively low. Corporate governance, firm size, government ownership, industry and Global Reporting Initiative (GRI) usage positively influence disclosure levels, while auditing firm type and firm age show a negative association. Financial firms tend to use sustainable development reports and GRI indicators more frequently.

Practically, strengthening governance frameworks and promoting GRI adoption can improve the quality and extent of sustainability reporting among Vietnamese firms. Socially, enhanced SDG disclosure supports improved corporate practices that align with the United Nations SDGs, fostering a more sustainable and transparent economy in Vietnam.

To the best of the authors’ knowledge, this is the first study examining SDG disclosure and influencing factors in Vietnamese listed (2021–2023), using the GRI (2016) standard. This study contributes to transparency in Vietnam’s financial markets and sustainability practices, offering insights for preparers and policymakers.

This study aims to investigate the institutional, macroeconomic and firm-specific determinants of financial leverage in Vietnam and provides new evidence from the dynamic panel fractional estimator.

This study uses a panel dataset of 859 Vietnamese firms from 2008 to 2022 and employs three estimators: Feasible Generalized Least Squares (FGLS), System Generalized Method of Moments (SysGMM) and Dynamic Panel Fractional (DPF), with DPF being particularly suitable for handling fractional dependent variables and the dynamic nature of financial leverage.

The results confirm the dynamic nature of the financial leverage model, with firm-specific factors, institutional factors and macroeconomic factors playing significant roles in shaping firms' financing decisions. The DPF estimator highlights the positive impact of stock market development on leverage. This study contributes to the literature by providing new evidence on the determinants of leverage in Vietnam, using the DPF estimator for more accurate estimation and revealing the significant impact of the size of the banking sector, the size of the stock market, the stock market development index, the financial development index and the corruption perception index on leverage.

This study contributes to the literature by providing new evidence on the dynamic nature of the financial leverage model and the impact of institutional, macroeconomic and firm-specific factors on financial leverage in the context of Vietnam. The use of the DPF estimator allows for a more accurate and reliable estimation of the determinants of leverage, considering the fractional nature of the dependent variable and the persistence of capital structure decisions over time.

Audit firms have a strong historical tradition of professionalism, but they are also commercial entities. This study aims to investigate the relationship between auditor cash compensation and office-level financial performance.

This study uses proprietary compensation expense and financial performance data from audit offices in China. Using the ordinary least squares regressions, this study tests the association between per capita compensation and office-level financial outcomes.

This study provides evidence that audit offices offering higher compensation achieve more profitable performance, as reflected in increased market share, higher return on assets and greater operating profit margins. Mechanism tests suggest that reductions in auditor turnover, driven by compensation incentives, partially account for this performance improvement. Additional tests show that the benefits of compensation incentives are particularly pronounced in audit firms licensed to conduct listed firm audits or when accompanied by staff training and technical development. Furthermore, both partner-level and staff auditor compensation significantly enhance office-level financial performance. The results might be of interest to both practitioners and regulatory bodies.

To the best of the authors’ knowledge, this study is the first to examine the relationship between auditor cash compensation and audit-office profitability. The findings highlight important policy implications for audit firms seeking to retain high-caliber auditors and maximize their economic benefits through human capital investments, including compensation, education, training and technical development.