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Consistent with international trends, various policy initiatives have been proposed in South Africa to reform education practices and equip learners with the ability to become critical-thinking citizens. One such reform was the inclusion of Economic and Management Sciences (EMS) as a subject in the curriculum in the late 1990s. EMS, a uniquely South African creation, was introduced to address a particular agenda, enabling learners to understand the wealth creation process and develop entrepreneurial dispositions. Accordingly, the programmed curriculum evident in the EMS textbooks was designed to meet these official curriculum objectives that would create an entrepreneurial culture, which, in turn, would stimulate economic growth. Considering that textbooks are carriers of more than content information and reflect specific values and ideologies, it is of particular importance to examine these textbooks and the messaging communicated to young people about entrepreneurs, as these adolescents themselves start forming their own identities.

This study aims to describe and examine the effectiveness of the mathematics-based learning method, called Accountamatics (Accounting from Mathematics perspective). The Accountamatics method is rooted in the principles of double-entry bookkeeping and the rules of debits and credits, which were initially documented by Luca Pacioli, a Mathematics Professor, in a mathematics book.

This study uses a quasi-experimental design, spanning a duration of one semester, to examine its research objectives. The participants included 230 students from the Faculty of Economics and Business in Indonesia, who were accredited by AACSB. Control variables, including gender, majors and study backgrounds, were taken into consideration. The data was analyzed using a linear regression test, followed by a comparative t-test.

The study findings show a significant positive impact of the Accountamatics method on student performance when compared to traditional learning approaches. Furthermore, the analysis indicates that the control variables examined in the study did not have a significant effect on student performance. Thus, it can be inferred that the implementation of the Accountamatics method has a beneficial effect on the academic performance of college students.

The study findings provide valuable insights for faculty members in higher education institutions, highlighting the potential benefits of incorporating mathematics-based teaching in accounting as an alternative approach for business students. These findings contribute to the existing knowledge on innovative teaching methods that can enhance the study of accounting within the business curriculum.

Over the span of around 25 years, extensive research has been conducted to compare traditional teaching methods with innovative approaches. However, the results have not consistently shown that the innovative methods outperform their traditional counterparts. In response to this, the Accountamatics method has been developed, building upon the fundamental knowledge in accounting that has been used since 1494. Despite its historical significance, this method is sometimes regarded as limited to technical knowledge in the modern era.

This study aims to identify the impact of intellectual capital (IC) on the bank’s performance using a cross-country approach with India and Gulf Cooperation Council (GCC) countries using the Skandia navigator model (SNM).

This study uses a mixed-methods research approach by taking financial and non-financial measures to assess the impact of the IC on the bank’s performance using the SNM. The study implies an analysis of the data from the top ten banks in India and twenty banks in GCC countries. The selection was done based on the volume of the bank’s business for three years (2019–2020, 2020–2021 and 2021–2022).

The research has three main findings: there is a positive impact of IC on the bank’s performance; amongst the factors of SNM, there is a direct impact of human capital and customer focus on the performance of the selected banks in both India and GCC countries; and the other factors of SNM such as structural capital and process focus, renewal and development focus also affect the selected banks.

The outcomes of the research may be useful for policymakers in India and GCC countries, as it identifies IC components that have a significant impact on the bank’s performance. This might enable them to develop policies that foster such factors, which, consequently, will improve the performance of the banks in the selected countries.

This study is an attempt to fill the gap in the existing literature on IC and bank’s performance for two different types of countries using the SNM.

Commercial banks are the financial powerhouses of a nation that can create a penetrating impact at the grassroots level. This study aims to investigate the demand-side drivers of green banking purchase intention by extending the popular theory of planned behavior (TPB) model.

This study used a mono-method research approach to collect customers’ cross-sectional responses using structured questionnaires. The data were further analyzed using CB-SEM.

This study points out that attitude, subjective norms, perceived behavioral control and environmental concern are demand-side factors that drive the intention of individual customers to adopt green banking services. The moderating roles of collectivism, age and gender are also discussed in this study.

The present study’s results suffer from mono-method bias as they are based on primary data analysis alone. This limitation can be addressed by incorporating a mixed-method approach.

Several policy suggestions are offered based on the findings on improving green banking adoption among individual customers. The proper incorporation of these guidelines will expedite a nation’s aspirations for sustainable economic growth.

To the best of the authors’ knowledge, this is the first study to explore the demand-side factors that drive Omani customers’ intention to adopt green banking. Moreover, this study extends the TPB with environmental concern and personal values to examine the green banking adoption by individual customers.

The purpose of this paper is to gain insight into how management accountants can become relevant business partners out of respect for existing locally developed accounts of economic performance for decision-making.

The paper is based on qualitative semi-structured interviews with local business actors, in this case, families from seven financially successful Danish dairy farms. The casework and the analysis have been informed by pragmatic constructivism.

The local business actors do not use the official accounting system for ongoing cost-management-related decision-making. Instead, they use several epistemic methods that include locally developed decision models, experiences, rules of thumb and intuition. The farmers use these vernacular accountings to compensate for the cost management illusion that the formal accounting system tends to create. What the study suggests is that when management accountants engage as business partners, they are likely to enter a space where accounting is already present.

This paper argues that local business actors practice epistemic methods where they develop and use vernacular accountings to support their managerial practice, also in the absence of a professional management accountant. These vernacular accountings may lead the local actors into an illusion because the vernacular accountings do not necessarily have an inherent economic logic and theoretical reliability. The role of the management accountant in such a setting is hence to understand, support and advance local epistemic methods. Becoming a business partner requires a combination of management accounting analytical skills and a sense of empathy and sensitivity regarding what is already at play and how this can become an object of discussion without violating the values of the other.

Prior research (Harrast, Olsen, & Sun, 2023) analyzes the eight emerging topics to be included in future CPA exams and discusses their importance to career success and appropriate teaching locus in light of survey evidence. They find that the general topic of data analytics is the most important of the eight emerging topics. To further understand the topics most important to career success, this study analyzes subtopics underlying the eight emerging topics. The results show that advanced Excel analysis tools, data visualization, and data extraction, transformation, and loading (ETL) are the most important data analytics subskills for career success according to professionals and that these topics should be both introduced and emphasized in the accounting curriculum. The results provide useful information to educators to prioritize general emerging topics and specific subtopics in the accounting curriculum by taking into account the most pressing needs of the profession.

Focusing on the quality of teaching and learning, this study aims to explore the perceptions of accountancy students in two emerging UK Higher Education Institutions (HEIs) of the quality of their learning experiences and the impact of these experiences on generic skills development.

A questionnaire survey was used to collect the data. OLS regression was used to test the hypothesis regarding the impact of student learning experiences (lecturer ability, assessment and curriculum) on generic skills development.

Students value the lecturer as the most important determinant of the quality of their experience. They rated their assessment programme very positively, and the curriculum suggests that students tend to experience a deep blended approach to learning. They also felt that they acquired a wide range of soft competency skills such as those associated with research, critical thinking and time management. Multivariate findings indicate that lecturer ability and curriculum contribute significantly and positively to generic skills development.

The study provides a benchmark for international accounting and business educators in any efforts to assess the efficacy of HE delivery since the pandemic. By implication, it enables the identification of enhancements to the previous character of delivery and hence offers the means to direct improvements to the student experience. Such improvements can then be seen in the National Student Survey (NSS) scores, thereby positively contributing to the next Teaching Excellence Framework. Additionally, such tangible enhancements in NSS scores may be advantageous to HEIs, in the UK and other Western countries, in their efforts to recruit international students on whom they place great reliance for increased revenue, to their international business education programmes.

This study addresses the research gap surrounding the link between teaching and learning approaches in accounting and the development of generic skills. Furthermore, acknowledging that the COVID-19 pandemic with its imposed structural change in the HE teaching and learning environment ushered in a new model of curriculum delivery, this study reflects on the pre-COVID-19 scenario and gathers student perceptions of their teaching and learning experiences before the changes necessitated by lockdowns. It therefore brings the opportunity to anchor future research exploring the post-COVID-19 environment and secure comparative analyses.

This study aims to investigate whether objective and subjective rationality affects individual voters’ use of accounting information and if such use affects voting behavior. While prior accounting studies assume voter rationality concerning financial performance and political outcomes, this study distinguishes between two types of voters: objective rational voters (who make voting decisions about multiple alternatives based on objective information) and subjective rational voters (who make decisions based on their subjective values, and thus do not explore information or explore only information biased toward one alternative). This study expects that accounting information can influence the voting behavior of objective and subjective rational voters.

Focusing on the 2020 Osaka Metropolitan Plan Referendum, this study used an online survey conducted on 768 respondents after the referendum.

This study finds that objective rational voters use accounting information more than subjective rational voters, voters who used accounting information were more likely to vote against the referendum, and voting behavior is not directly affected by the type of rationality of voters; rather, objective rational voters are more likely to use accounting information that has a mediating effect on voting behavior.

The results advance the understanding of public sector accounting research and practices by providing evidence of the individual voter’s use of accounting information and their voting behavior in political contexts.

We develop and test an innovative approach to teaching financial statement analysis (FSA) and assessing student learning outcomes based on making complex stock investment decisions compared to professional analysts. We train students to apply FSA and emphasize interdisciplinary factors and high integrative complexity. Our innovative FSA teaching approach, which we apply in an MBA financial reporting course, involves the instructor lecturing on FSA as a tool for integrative and complex decision making, students researching and applying FSA to public companies, and presenting the rationale for individual and group stock investment decisions. The instructor gives high-quality and timely feedback on the students’ application of FSA with a focus on investment judgments involving critical thinking, problem-solving, and teamwork skills. Our detailed efficacy analysis shows that our FSA teaching approach is effective. Students who perceive a public company to have credible management, effective competitive strategy, and an acceptable level of financial flexibility make comparable individual and group stock investment decisions as professional analysts.

This study aims to examine the impact of board characteristics on firm performance while also exploring the influential mechanisms that help Chinese listed companies establish effective boards of directors and strengthen their corporate governance mechanisms.

This paper uses machine learning methods to investigate the predictive ability of the board of directors' characteristics on firm performance based on the data from Chinese A-share listed companies on the Shanghai and Shenzhen stock exchanges in China during 2008–2021. This study further analyzes board characteristics with relatively strong predictive ability and their predictive models on firm performance.

The results show that nonlinear machine learning methods are more effective than traditional linear models in analyzing the impact of board characteristics on Chinese firm performance. Among the series characteristics of the board of directors, the contribution ratio in prediction from directors compensation, director shareholding ratio, the average age of directors and directors' educational level are significant, and these characteristics have a roughly nonlinear correlation to the prediction of firm performance; the improvement of the predictive ability of board characteristics on firm performance in state-owned enterprises in China performs better than that in private enterprises.

The findings of this study provide valuable suggestions for enriching the theory of board governance, strengthening board construction and optimizing the effectiveness of board governance. Furthermore, these impacts can serve as a valuable reference for board construction and selection, aiding in the rational selection of boards to establish an efficient and high-performing board of directors.

The study findings unequivocally demonstrate the superiority of nonlinear machine learning approaches over traditional linear models in examining the relationship between board characteristics and firm performance in China. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. The study reveals that the predictive performance of board attributes is generally more robust for state-owned enterprises in China in comparison to their counterparts in the private sector.