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This paper aims to analyze the impact of tax digitalization, focusing on artificial intelligence (AI), machine learning and blockchain technologies, on enhancing tax compliance behavior in various contexts. It seeks to understand how these emerging digital tools influence taxpayer behaviors and compliance levels and to assess their effectiveness in reducing tax evasion and avoidance practices.

Using a systematic review technique with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method, this study evaluates 62 papers collected from the Scopus database. The papers were analyzed through textometry of titles, abstracts and keywords to identify prevailing trends and insights.

The review reveals that digitalization, particularly through AI and blockchain, significantly enhances tax compliance and operational efficiency. However, challenges persist, especially in emerging economies, regarding the adoption and integration of these technologies in tax systems. The findings indicate a global trend toward digital Tax Administration 3.0, emphasizing the importance of regulatory frameworks, capacity building and simplification for small and medium enterprises (SMEs).

The findings provide guidance for policymakers and tax administrations, underscoring the necessity of strategic planning, regulatory backing and global cooperation to effectively use digital technologies in tax compliance. Emphasizing the need for tailored support for SMEs, the study also calls for expanded research in less represented areas and specific sectors, such as SMEs and developing economies, to deepen global insights into digital tax compliance.

This study has attempted to fill the gap in the literature on the comprehensive impact of fiscal digitalization, particularly AI-based, on tax compliance across different global contexts, adding to the discourse on digital taxation.

This study aims to analyze the tax compliance behavior of family firms by integrating social and psychological norms with legitimacy determinants, focusing specifically on the Moroccan context.

Employing a qualitative research design, the study conducted semi-structured interviews with 30 chief executive officers (CEOs) of Moroccan family firms. The data were analyzed using thematic analysis to unravel the interplay between individual beliefs and societal norms.

The findings reveal a complex interplay between the personal norms of CEOs and chief financial officers (CFOs) and wider societal and cultural expectations, significantly influencing tax compliance behavior. The study identifies the multifaceted nature of tax compliance, which is shaped by personal ethics, family values and the dominant societal tax culture.

The research is limited by its qualitative approach and focus on Moroccan family businesses, which may not be generalizable to other contexts. Future studies could use a quantitative approach and expand to other geographical settings for a more comprehensive understanding.

Insights from the study can assist policymakers and tax authorities in developing culturally sensitive tax compliance strategies that resonate with family business values.

The research underscores the importance of considering sociocultural dimensions in tax compliance, fostering a more cooperative relationship between family businesses and tax authorities.

The study contributes a novel perspective by synthesizing social, psychological and legitimacy factors in understanding tax compliance in the unique context of family businesses.

This study aims to understand the interaction between tax fairness perceptions, equitable tax burden distribution and tax compliance within Morocco’s unique socio-economic context, with the goal of uncovering strategies to enhance tax compliance.

Using the Delphi method, this study engaged tax experts in the Moroccan context to explore the impact of taxpayers’ perception of fairness, tax rates and tax burden on compliance. Their responses were gathered and analyzed with the aid of IRaMuTeQ software, which helped the authors identify themes relevant to the research question.

The preliminary results indicate a positive correlation between perceptions of tax fairness and compliance behavior, corroborating earlier studies conducted in different contexts. Notably, a substantial majority of Moroccan taxpayers perceive the current tax system as inequitable, deeming tax rates too high and the tax burden unfairly distributed among various taxpayer categories. This perception potentially influences their voluntary tax compliance behavior.

The findings have significant policy implications for the Moroccan Government and stakeholders. They suggest that by improving tax fairness, particularly by aligning tax assessment and payment modalities for employees, civil servants and small to medium enterprises, policymakers can encourage higher voluntary tax compliance, thereby potentially enhancing the efficiency of the Moroccan tax system.

This study adds to the existing body of knowledge by exploring the dynamics of tax fairness and compliance behavior in Morocco, a context which has been significantly understudied.