Chapter 3 Adoption of IFRS in Germany: A Neo-Institutional Analysis
Bibliographic record
Abstract
Over the last decade, the accounting convergence process with the development and adoption of IFRS as national standards has become the focus of governments, professionals, and researchers. In 2005, the EU (including Germany) and Australia adopted IFRS. A survey by Deloitte Touche Tohmatsu (2010) reported that 89 countries have adopted or intend to adopt IFRS for all their domestic listed companies. Currently, more than 100 jurisdictions require or permit the use of IFRS, with countries such as Canada, Brazil, and Argentina being the most recent adopters (IFRS Foundation, 2011b). This growing number of countries implementing IFRS and their experiences and emerging challenges have further raised researchers' interest in this controversial topic (Ashbaugh & Pincus, 2001; Atwood et al., 2011; Byard et al., 2011; Christensen et al., 2007; Daske et al., 2008; Ding et al., 2007; Hail et al., 2010a, 2010b; Kvaal & Nobes, 2010; McAnally et al., 2010; Mechelli, 2009; Niskanen, Kinnunen, & Kasanen, 2000; Stolowy, Haller, & Klockhaus, 2001; Tyrrall et al., 2007). However, these studies have concentrated on the development and application of specific accounting standards and practices and/or cross-national and cross-cultural issues concerning adaptation, implementation, and evaluation of IFRS. Moreover, an increasing number of studies have been devoted to classifications of accounting models and categorization of accounting standards, principles, and values (Chanchani & Willett, 2004; D'Arcy, 2000, 2001; Doupnik & Richter, 2004; Doupnik & Salter, 1993; Gray, 1988; Kamla, Gallhofer, & Haslam, 2006; Nair & Frank, 1980; Patel, 2003, 2007; Perera & Mathews, 1990; Salter & Doupnik, 1992). However, very few studies have critically examined the historical development of accounting practices and issues related to convergence in its socioeconomic context and, importantly, we are not aware of any study that has rigorously examined the institutionalization of Anglo-American accounting practices as international practice with an emphasis on power and legitimacy in the move toward convergence of accounting standards.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".