Search Results (5)

This study examines the key drivers behind the adoption of artificial intelligence (AI) in the accounting profession, emphasizing the influence of AI-related knowledge, personality traits, and professional roles. By applying Decision Tree Regression analysis to survey data from accounting professionals, our research identifies AI knowledge as the strongest determinant of AI adoption, underscoring the importance of expertise in technology acceptance. While personality traits play a secondary role, extraversion and openness emerge as significant factors influencing adoption intentions. The study further explores AI applications in financial auditing, tax compliance, and fraud detection, clarifying the specific accounting domains impacted by AI integration. These findings offer valuable guidance for policymakers, educators, and business leaders aiming to equip the accounting workforce with the necessary skills and mindset to navigate the AI-driven transformation of the profession. Full article

Tax compliance and avoidance are critical issues for governments and businesses worldwide, especially as businesses often use legal methods to minimize taxes, which can impact public revenue and equity within the tax system. This study focuses on understanding the factors influencing tax avoidance behaviors among SMEs in Greece’s tourism sector, a sector that has received limited research attention. To this end, a quantitative cross-sectional design was employed, using a structured questionnaire to explore potential factors influencing tax avoidance behavior. Data were collected from 534 SME managers and analyzed using Structural Equation Modeling (SEM) to assess the impact of key factors and their interrelationships, including coercive power, digital transformation, tax knowledge, firm performance, and perceived fairness, on tax avoidance. In addition, corporate social responsibility (CSR) was included as a moderator variable, while coercive power and digital transformation were assessed as mediators. Furthermore, Multi-Group Analysis (MGA) was conducted to explore the differences between small and medium enterprises, as well as different ownership structures. The results indicate that all key determinants, except perceived fairness, are significantly and positively related to tax avoidance intention. Additionally, it was revealed that coercive power increases tax avoidance through firm performance and tax knowledge, while digital transformation mediates the influence of firm performance on tax avoidance by curtailing avoidance intentions. While CSR mitigates the negative influence of coercive power, digital transformation has a dual role: that of promoting transparency and strategic efforts to reduce the tax burden. These findings have important policy implications, as policymakers seek to promote digital adoption and enhance CSR engagement while formulating specific regulatory strategies to reduce tax avoidance among SMEs. Full article

The effectiveness of the e-tax system in encouraging tax compliance has been largely unexplored. Thus, the current study aims to examine the interrelationship between technological predictors in explaining tax compliance intention among certified tax professionals. Based on the literature on information system success and tax compliance intention, this paper proposed an expanded conceptual framework that incorporates convenience and perception of reduced compliance costs as predictors and satisfaction as a mediator. The data were collected from 650 tax professionals who used e-Filing and 492 who used e-Form through an online survey and analyzed using hierarchical multiple regression. The empirical results suggest that participants’ perceived service quality of e-Filing services and perceptions of reduced compliance costs positively influence users’ willingness to comply with tax regulations. The latter predictor is also, and only, significant among e-Form users. The empirical results also provide statistical evidence for the mediating role of satisfaction in the relationship between all predictors and tax compliance intention. This study encourages tax policymakers and e-tax filing providers to improve their services to increase user satisfaction and tax compliance. Full article

The present study aimed to adopt the extended theory of planned behavior (TPB) to determine the intentions of owner-managers in SMEs towards engaging in sales tax compliance. The study distributed a total of 660 questionnaire copies through systematic random sampling to the mangers/owners of Jordanian manufacturing SMEs, from which 385 questionnaire copies were retrieved and considered useable and appropriate for further analysis. The study made use of Partial-Least Squares-Structural Equation Modeling (PLS-SEM) for the validation of the measurement model and structural model, and to establish the predictive relevance of the proposed model. Based on the obtained findings, the attitude towards behavior, subjective norms, perceived behavioral control and patriotism were significant determinants of the intentions towards engaging in sales tax compliance among the examined enterprises. Full article

This research examined the effect of Religiosity, Perceived Risk, and Attitude on Tax Compliant Intention, moderated by e-Filing. This research used a quantitative approach which involved the Structural Equation Model (SEM). Large taxpayers are generally in the form of agencies and individuals, so the population of this study comprised of companies that are in the Directorate General of Taxation of Large Taxpayers Jakarta, Large Tax Service Offices 1 and 2, totaling 529 companies. Religiosity (X1) and Perceived Risk (X2) significantly influence Attitude (Y1). Furthermore, Attitude (Y1) has a positive and significant effect on Tax Compliant Intention (Y2). e-Filing showed an insignificant moderating effect on the research model. The novelties are the development of the Theory of Planned Behavior by involving other variables that affect taxpayer compliance behavior, namely Religiosity and the perceived risk of taxpayers. In addition, this research involves the e-Filing variable as a moderating variable. Full article