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To build public trust in the accounting profession, previous research studies have stressed the need for ethics education. This present research aims to investigate the effects of teaching ethics using the ethics education toolkit (EET) developed by the International Accounting Education Standards Board on accounting students’ moral judgment.

An experimental design was used to determine the effects of teaching ethics using the EET on moral judgment. Data were obtained using the multidimensional ethics scale questionnaire and analysed with multiple linear regression. Factor analysis was performed to obtain the four moral philosophies defined in the literature.

The results confirm that use of the EET improves the moral judgment of accounting students. The influence of utilitarianism and relativism on moral judgment was reduced, while the students’ ability to recognise violating an unwritten contract as an unethical act was improved. Contrary to expectations, the influence of justice on moral judgment decreased.

The study may benefit academics by showing positive outcomes of EET use. The EET is a well-developed teaching tool, also suitable for educators insufficiently qualified to develop their own ethics courses or facing time constraints.

The EET was developed to support implementation of ethics education in programmes for professional accountants. By investigating the applicability and effects of the tool in higher education, this study aims to develop moral judgment in accounting students before they enter the accounting profession.

The purpose of this study is to examine the role of selected sociodemographic variables in the ethical decision-making (EDM) process of professional accountants in Nigeria.

The study obtained data from 329 professional accountants with the aid of a structured questionnaire containing four dilemmatic ethical vignettes. The data were analysed using Kendall correlation, Kruskal–Wallis and Jonckheere–Terpstra tests.

The results revealed that upbringing, especially parental discipline, and education are significant sociodemographic determinants of EDM. Religion and experience played little or no significant role in predicting accountants’ EDM in the face of ethical dilemmas.

The study used a questionnaire to measure its variables, which may bias and somewhat inflate the findings. Hence, caution should be applied regarding its conclusion.

The evidence in this study could stimulate policy change and review to include a separate ethics course in the accounting education curriculum, which could enhance the ethics training of future accountants. This is important for countries like Nigeria, where no provision is made for a discrete ethics course in the curriculum for accounting under-graduate education.

The study draws attention to the fact that ethical conduct among professionals and in society could be enhanced through proper upbringing and formal education.

The study adds some uniqueness in focusing on professional accountants in Nigeria, a developing country with high corruption profile and weak government institutions, and, as such, contributes to the limited research output on accounting ethics in developing countries.

This paper aims to identify ethical challenges of using artificial intelligence (AI)-based accounting systems for decision-making and discusses its findings based on Rest's four-component model of antecedents for ethical decision-making. This study derives implications for accounting and auditing scholars and practitioners.

This research is rooted in the hermeneutics tradition of interpretative accounting research, in which the reader and the texts engage in a form of dialogue. To substantiate this dialogue, the authors conduct a theoretically informed, narrative (semi-systematic) literature review spanning the years 2015–2020. This review's narrative is driven by the depicted contexts and the accounting/auditing practices found in selected articles are used as sample instead of the research or methods.

In the thematic coding of the selected papers the authors identify five major ethical challenges of AI-based decision-making in accounting: objectivity, privacy, transparency, accountability and trustworthiness. Using Rest's component model of antecedents for ethical decision-making as a stable framework for our structure, the authors critically discuss the challenges and their relevance for a future human–machine collaboration within varying agency between humans and AI.

This paper contributes to the literature on accounting as a subjectivising as well as mediating practice in a socio-material context. It does so by providing a solid base of arguments that AI alone, despite its enabling and mediating role in accounting, cannot make ethical accounting decisions because it lacks the necessary preconditions in terms of Rest's model of antecedents. What is more, as AI is bound to pre-set goals and subjected to human made conditions despite its autonomous learning and adaptive practices, it lacks true agency. As a consequence, accountability needs to be shared between humans and AI. The authors suggest that related governance as well as internal and external auditing processes need to be adapted in terms of skills and awareness to ensure an ethical AI-based decision-making.

The 2013 curriculum mandates the importance of collaborative learning designed to educate students to be more productive, creative, and innovative with a high level of affective skills. Collaborative learning can be manifested in the form of a textbook. This research is aimed at developing an accounting textbook in accordance with the mandate of the 2013 curriculum. The selected model is IDI which consists of three main phases: defining, developing and evaluating. The methods chosen are interview, observation, and document review which are analyzed qualitatively. The research was conducted in 4 senior high schools in Malang. The finding shows that at defining phase, there is a need to develop an accounting textbooks using collaborative learning and corresponding to the new accounting standards, namely IFRS. Therefore, at the developmental phase, we construct a prototype book ready to be evaluated. The result of evaluation phase shows that the textbook is valid on the overall aspects including the content, the presentation, the graphic, and the language, with an average percentage of 93.7%.