Full IFRS and IFRS for SMEs Adoption by Private Firms

Table Of Contents

• Cover
• Title
• Copyright
• Preface
• Acknowledgement
• About the Author
• About the Book
• This eBook can be cited
• Contents summary
• Contents
• Index of figures
• Index of tables
• Index of formulas
• Index of abbreviations
• Index of symbols
• 1 Foundation
• 1.1 Introduction
• 1.1.1 Motivation
• 1.1.2 Research questions
• 1.1.3 Outline
• 1.2 Scientific research strategy
• 1.2.1 Science and philosophy of science
• 1.2.2 Scientific positioning of the study
• 1.3 Financial reporting of private firms
• 1.3.1 Defining private firms
• 1.3.1.1 Quantitative definitions
• 1.3.1.2 Qualitative definitions
• 1.3.1.3 Definition used in this study
• 1.3.2 Differential reporting
• 1.3.2.1 Big GAAP vs. little GAAP debate
• 1.3.2.2 Different users and users’ needs
• 1.3.2.3 Stewardship vs. decision-usefulness
• 1.3.2.4 Examples of differential reporting
• 1.4 International accounting harmonization
• 1.4.1 Definitions and fundamentals
• 1.4.2 Early attempts of harmonization
• 1.4.3 Development of Full IFRS
• 1.4.4 Development of IFRS for SMEs
• 1.5 Field of research
• 1.5.1 International comparative financial accounting research
• 1.5.2 International accounting harmonization research
• 1.6 Prior research
• 1.6.1 Overview
• 1.6.2 Descriptive country level studies on GAAP adoption
• 1.6.2.1 Full IFRS
• 1.6.2.1.1 National GAAP’s compliance with Full IFRS
• 1.6.2.1.2 Full IFRS implementation as a whole
• 1.6.2.2 IFRS for SMEs
• 1.6.3 Explanatory country level studies on GAAP adoption
• 1.6.3.1 Full IFRS
• 1.6.3.1.1 Economic factors
• 1.6.3.1.2 Political factors
• 1.6.3.1.3 Network effects
• 1.6.3.1.4 National culture
• 1.6.3.2 IFRS for SMEs
• 1.6.4 Limitations and implications for this study
• 2 Theory and hypotheses development
• 2.1 Theoretical foundation
• 2.1.1 Economic theory of networks
• 2.1.2 Institutional theory of isomorphism
• 2.1.3 Integration of theoretical perspectives
• 2.2 Hypotheses development
• 2.2.1 Describing Full IFRS and IFRS for SMEs adoption
• 2.2.2 Explaining Full IFRS and IFRS for SMEs adoption
• 2.2.2.1 Net economic benefits
• 2.2.2.1.1 Perceived quality of accounting standards
• 2.2.2.1.2 Local GAAP
• 2.2.2.1.3 Local Full IFRS
• 2.2.2.1.4 Full IFRS adoption for listed firms
• 2.2.2.1.5 Full IFRS adoption for private firms
• 2.2.2.2 Network effects
• 2.2.2.3 Political pressures
• 2.2.2.3.1 Economic power
• 2.2.2.3.2 Political power
• 2.2.2.3.3 Import dependency
• 2.2.2.3.4 Pressures from supranational institutions
• 2.2.3 Refined conceptual framework
• 3 Characteristics of Full IFRS and IFRS for SMEs adoption
• 3.1 Research design
• 3.1.1 Data collection and sample
• 3.1.1.1 Sample selection procedure
• 3.1.1.2 Characteristics of the sample
• 3.1.2 Conceptual foundation
• 3.1.2.1 Classifying accounting systems
• 3.1.2.2 Type of adoption
• 3.1.2.3 Scope of adoption
• 3.2 Empirical results
• 3.2.1 North America
• 3.2.1.1 Time series analysis
• 3.2.1.2 Cross-sectional analysis
• 3.2.2 Central America & Caribbean
• 3.2.2.1 Time series analysis
• 3.2.2.2 Cross-sectional analysis
• 3.2.3 South America
• 3.2.3.1 Time series analysis
• 3.2.3.2 Cross-sectional analysis
• 3.2.4 European Union
• 3.2.4.1 Time series analysis
• 3.2.4.2 Cross-sectional analysis
• 3.2.5 Southeast Europe
• 3.2.5.1 Time series analysis
• 3.2.5.2 Cross-sectional analysis
• 3.2.6 Africa
• 3.2.6.1 Time series analysis
• 3.2.6.2 Cross-sectional analysis
• 3.2.7 Middle East
• 3.2.7.1 Time series analysis
• 3.2.7.2 Cross-sectional analysis
• 3.2.8 Asia
• 3.2.8.1 Time series analysis
• 3.2.8.2 Cross-sectional analysis
• 3.2.9 Australia & Oceania
• 3.2.9.1 Time series analysis
• 3.2.9.2 Cross-sectional analysis
• 3.3 Discussion
• 3.3.1 Time series analysis
• 3.3.2 Cross-sectional analysis
• 4 Determinants of Full IFRS and IFRS for SMEs adoption
• 4.1 Research design
• 4.1.1 Descriptive analysis
• 4.1.2 Explanatory analysis
• 4.1.2.1 Logistic regression model
• 4.1.2.2 Variables
• 4.1.2.2.1 Dependent variables
• 4.1.2.2.2 Independent variables
• 4.2 Empirical results
• 4.2.1 Full IFRS adoption by 2008
• 4.2.1.1 Descriptive statistics
• 4.2.1.2 Correlation analysis
• 4.2.1.3 Multivariate logistic regression
• 4.2.2 Full IFRS adoption by 2014
• 4.2.2.1 Descriptive statistics
• 4.2.2.2 Correlation analysis
• 4.2.2.3 Multivariate logistic regression
• 4.2.3 IFRS for SMEs adoption by 2014
• 4.2.3.1 Descriptive statistics
• 4.2.3.2 Correlation analysis
• 4.2.3.3 Multivariate logistic regression
• 4.2.4 Robustness tests
• 4.3 Discussion
• 5 Conclusions
• 5.1 Main findings and implications
• 5.2 Limitations
• 5.3 Perspectives
• Appendix
• References