PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 31, 2025APSSAI ACCOUNTING REVIEW0 citations

Beyond Numbers: Unveiling The Landscape of Taxpayer Motivation Through Meta-Analysis

View Full Paper
MWMichael WalzerAFAmrie Firmansyah

Key Points

  • Taxpayer compliance is influenced by economic, psychological, and social factors, shaping government policy.
  • The most significant factors identified align with the Theory of Planned Behaviour framework and suggest new research directions.
  • Bibliometric analysis of scientific journals from 2019 and 2020 provided a comprehensive overview of existing research.
  • Insights from this analysis may aid the Indonesian government in developing effective fiscal policies to enhance tax compliance.

Abstract

Research aims: This study aims to uncover the motivations behind taxpayer compliance through a meta-analytical approach and identify potential research gaps for future exploration. Design/Methodology/Approach: The research adopts a bibliometric analysis method to examine various global factors influencing tax compliance. Data were sourced from scientific journals published between 2019 and 2020, collected using the Publish or Perish 8 application, and further processed with Mendeley and VOSviewer. Research findings: The findings indicate that tax compliance is shaped by economic, psychological, and social factors, each aligning with the Theory of Planned Behaviour framework Theoretical contribution/Originality: Provides a conceptual basis and data for the development of further academic research in the field of tax compliance. Practitioner/Policy implication: The insights generated from this study are expected to offer strategic value for the Indonesian government in formulating more effective fiscal policies, particularly to increase the tax ratio by deepening the understanding of compliance determinants

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Walzer et al. (2025) studied this question.

synapsesocial.com/papers/68af5bbcad7bf08b1eadfa93https://doi.org/10.26418/apssai.v5i1.120
Ask AI
Helpful
Bookmark
Share
View Full Paper