Search results

This study aims to analyze the effect of inward foreign direct investment (FDI) on new job creation. This study pays attention to factors interrelated to China’s FDI by using the case of Thailand.

Using time series data from 2001 to 2014, this paper explores the driving forces and reduction potentials of employment in Thailand’s industrial sector with consideration for dynamic changes within the vector autoregression model.

The results show that government expenditure plays a dominant role in increasing employment in Thailand’s industrial sector and exports plays a dominant role in decreasing employment in Thailand’s industrial sector. All variables are co-integrated and the analysis of the impulse–response function also turns out to be synchronous. Furthermore, in the short term, exports are more critical than China’s FDI in industrial sectors in reduction potentials of employment in Thailand’s industrial.

Policies should be devised to increase skilled labour and improve the equality of infrastructure in the country to attract more FDI into the economy and for quick adjustment purposes in case of shock to the system.

The paper uncovers some important factors influencing employment in Thailand’s industrial sector under study and provides a guide-map for policymakers.

This study aims to examine the ability of big data analytics (BDA) to investigate financial reporting quality (FRQ), identify the knowledge base and conceptual structure of this research field and explore BDA techniques used over time.

This study uses a comprehensive bibliometric analysis approach (performance analysis and science mapping) using software packages, including Biblioshiny and VOSviewer. Multiple analyses are conducted, including authors, sources, keywords, co-citations, thematic evolution and trend topic analysis.

This study reveals that the intellectual structure of using BDA in investigating FRQ encompasses three clusters. These clusters include applying data mining to detect financial reporting fraud (FRF), using machine learning (ML) to examine FRQ and detecting earnings management as a measure of FRQ. Additionally, the results demonstrate that ML and DM algorithms are the most effective techniques for investigating FRQ by providing various prediction and detection models of FRF and EM. Moreover, BDA offers text mining techniques to detect managerial fraud in narrative reports. The findings indicate that artificial intelligence, deep learning and ML are currently trending methods and are expected to continue in the coming years.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive analysis of the current state of the use of BDA in investigating FRQ.

This study aims to explore how the structure of the board of directors is influenced by national informal culture values and the strength of formal institutional environments, as measured through legal regulations, market conditions and investor protection regulations.

This study analyzes data from 432 companies listed in the S&P Global 1200 index using structural equation modeling. National cultural dimensions from Hofstede’s (2011) framework capture informal cultural aspects, while the World Bank’s Worldwide Governance Indicators assess formal institutions. This study examines board structure in terms of leadership style, board size, board independence, board committee structure and board diversity.

The results reveal that national cultural values are negatively associated with rule of law institutions, indicating that culture can substitute for legal institutions, acting as “soft” regulation. Cultural values establish social norms and accountability when legal frameworks are weak. In addition, national culture positively relates to open market institutions, enhancing transparency, fairness and competition in strong markets. The findings also show that national culture and formal institutions significantly shape managerial perceptions of the board’s role and structure, impacting how firms prioritize monitoring versus resource provision.

The findings offer valuable insights for managers in diverse institutional contexts, enabling them to adjust board structures according to cultural and institutional factors.

The research advocates for tailored governance practices that fit specific institutional and cultural contexts. Multinational corporations can benefit from customizing their governance structures according to the cultural and institutional environments of the countries in which they operate.

This paper contributes to existing literature by focusing on complementarity as well as substitution mechanisms between national cultural characteristics and formal institutions in shaping board structure.

This study aims to empirically investigate the impact of adopting big data and data analytics (BD&A) on audit quality (AQ).

A questionnaire was distributed among audit practitioners working at audit firms in Egypt and 205 responses were collected. Partial least square structural equation modeling (PLS-SEM) was used to analyze and test research hypotheses.

The results reveal that BD&A has a direct significant positive effect on the audit process (AP) and auditor competence (AC). However, an insignificant impact of BD&A is found on audit fees (AF). In addition, the results indicate that BD&A has significant positive direct and indirect impacts on AQ.

The results of this study will benefit several auditing stakeholders, such as audit firms, audit regulators, novice financial auditors and academic scholars.

This research is one of the earliest to empirically address the role of BD&A in enhancing AQ. It incorporates AP, AC and AF as mediators into a single model to explain the impact of BD&A on AQ. Also, it attempts to provide empirical evidence from a developing country with a less-regulated audit environment.

This study examines the impact of female directors on cash holdings in Egyptian listed firms, particularly in light of Decree 123/2019, which mandates female board representation. This study aims to determine if female directors mitigate agency conflicts related to cash holdings and how these dynamics shift post-quota implementation.

Using a panel fixed-effects model, the research analyzes 1,563 firm-year observations from 223 non-financial Egyptian firms listed on the EGX between 2014 and 2022. The robustness of the findings is tested through additional analyses using alternative proxies for cash holdings, different sample periods and a two-stage least squares approach to address endogeneity concerns.

This study finds a significant negative association between female directors and cash holdings, suggesting that female board members may promote more conservative cash management practices. However, this relationship weakens post-quota implementation, becoming statistically insignificant. This implies that while quotas increase female representation, they do not necessarily enhance corporate governance effectiveness regarding cash management. The pre-quota positive link between female directors and excess cash holdings also becomes insignificant post-quota.

The study focuses on female directors’ impact on cash holdings, excluding potential effects on other board subcommittees or functions. It does not capture long-term benefits of increased female representation, which may emerge as the pool of qualified female directors grows. Future research should explore broader implications of gender diversity guidelines and other diversity dimensions across various corporate governance aspects and institutional contexts.

This research provides empirical evidence from an emerging market context on the understudied impact of gender diversity on cash holdings. It critically evaluates the unintended consequences of mandatory gender quotas, highlighting the complexity of regulatory interventions in corporate governance. The study stresses the need for policymakers to address factors limiting the effectiveness of such quotas and to consider potential suboptimal outcomes when increasing female board representation without a corresponding increase in the supply of qualified female directors.

The purpose of this paper is to examine the potential role of remittances on renewable energy consumption in the top recipient developing countries from 1990 to 2016.

The paper uses autoregressive distributed lag (ARDL) technique to fulfil the purpose.

The empirical findings divulge that remittances positively affect renewable energy consumption. This finding implies that remittances can potentially increase the level of renewable energy consumption by increasing affordability if proper incentives and encouragement are offered.

Given the enormous potential that renewable energy can bring to an economy, the government should offer indirect incentives to encourage recipients to allocate a portion of their remittances to renewable energy projects, either as minor investors or users.

To the best of the authors’ knowledge, this paper is novel for two reasons. First, this study adds to the existing literature by empirically examining the link between remittances and renewable energy consumption in the top five remittance recipients, which have never been studied before. Second, the findings of this study will have policy implications not only for the top remittance recipients but also for other remittance recipients, particularly for developing countries.

This paper aims to examine the antecedents of the Automated VAT Solution (AVS) and its eventual consequence on value-added tax (VAT) compliance costs among the small and medium enterprises (SMEs) in Gulf Cooperation Countries (GCC), with the United Arab Emirates (UAE) as context.

A quantitative research design was deployed through a survey of 576 SMEs in the UAE. The data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).

The findings revealed that technological factors (IT complexity and IT competency) and organizational factors (management support and size of SME) significantly influence AVS adoption. However, only consumer pressure was found to be significant among the environmental factors, and AVS adoption was found to have a significant negative effect on the VAT compliance cost.

A lower coefficient of determination for the effect of AVS adoption on VAT compliance cost meant that there may be other accounting-related technologies that improve operational efficiency and process automation and, in the long run, lower the cost of VAT compliance. These technologies should be included in future studies.

The findings imply that the adoption of AVS among SMEs is highly desirable, as it reduces VAT compliance costs. Increased regulatory pressure by the UAE’s policymakers is also desirable to accelerate AVS adoption for enhanced cost reduction and revenue maximization from the perspectives of both the government and SMEs.

To the best of the authors’ knowledge, this study could be the first to expand the Technology-Organization-Environmental (TOE) Framework through the integration of determinants of AVS adoption and VAT compliance costs among SMEs in GCC countries.