Percorrer por autor "dos Santos, P. G."
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- Can ChatGPT be a knowledgeable and accurate ethical accountant? Assessing the overall usefulness of ChatGPT’s answers to ethical dilemmasPublication . Albuquerque, F.; dos Santos, P. G.This paper aims to assess the overall usefulness of ChatGPT regarding ethical dilemmas in accounting by exploring the tool’s ability to produce accurate answers, as well as reliably and properly identify the relevant legal frameworks in its justification. This study employs a quasi-experimental method and an exploratory perspective to evaluate ChatGPT 4.0′s responses to questions from the Portuguese Order of Certified Accountants exams. Consistency and robustness tests were conducted by varying and repeating the prompts, and the outputs (ChatGPT responses) were assessed through a content analysis method by comparing them with official answer keys (accuracy) and their justification (legal frameworks). The findings indicate that, throughout the process, ChatGPT’s performance is influenced by prompt design and repetition, and it consistently lacks accuracy, namely when professional judgment is required. Besides, although it is generally capable of recognising the relevant legal frameworks, its justifications were usually vague. Moreover, whenever more precise answers were provided, evidence of hallucinations was commonly found. Therefore, while the responses are often persuasive and structured, their reliability is limited, raising concerns about the model’s epistemic soundness and reducing its overall usefulness, which highlights the need for users to exercise caution when relying on their outputs. To the best of the authors’ knowledge, this is the first research to analyse in depth the characteristics within ChatGPT responses, specifically regarding professional ethics in an accounting proficiency exam. This study offers empirical evidence on ChatGPT’s limitations and potential as a supplementary tool in accounting ethics. It contributes to ongoing debates about the role of generative AI in professional education and practice, providing insights for educators and practitioners regarding its responsible and cautious integration. While promising as a discussion aid, ChatGPT still cannot replace the critical thinking and contextual reasoning required for ethical decision-making.
- Labour Productivity in European Non-Financial Corporations: The Roles of Country, Sector, and SizePublication . Albuquerque, F.; Ferrão, J.; dos Santos, P. G.This study aims to investigate the determinants of labour productivity across European non-financial entities using aggregated data from the Bank for the Accounts of Companies Harmonized (BACH) database. Focusing on six European Union countries (Belgium, France, Italy, Portugal, Poland, and Spain). Annual information from 2010 to 2023 is used (the last available year), including three size classes (small, medium-sized and larger entities) per division (two-digit code) by year and by country, totalling 14,188 observations. The combination of sectors and class sizes varies from 191 to 208 by country. It uses gross value added per employee as a proxy for labour productivity. Using a fixed-effects estimator and panel data regression techniques, the analysis reveals that labour productivity explanatory factors, particularly firm size, profitability, financialisation, leverage, and tangibility, have heterogeneous and sometimes contradictory effects across countries, sectors, and size classes. Larger firms generally tend to have higher levels of labour productivity, although this feature is not consistent among countries. Size and profitability more consistently exert a strong positive influence, whereas financialisation and leverage typically show negative or nonlinear effects. The results highlight the structural diversity of the European corporate landscape and challenge the adequacy of one-size-fits-all policy measures, contributing to the literature on productivity and offering further insights to policymakers by integrating cross-sectional, sectoral, and size-specific perspectives on labour efficiency within the EU context.
- The explanatory factors of interests as a key audit matter in the separate financial statements of listed European Union entitiesPublication . Albuquerque, F.; dos Santos, P. G.; Ribeiro, M.This paper aims to identify the factors that may likely explain the identification of the investments in subsidiaries, associates, and joint ventures under International Accounting Standards (IAS) 27 as a key audit matter in the separate financial statements (SFS) of listed European entities. The final research sample is comprised of 243 entities from 18 European countries. The findings from the logistic regression performed particularly found the weight of those interests (the material relevance) within the entities’ SFS as an explanatory factor, as well as the use of the cost as the accounting method for those interests.