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After the effective date of International Financial Reporting Standard (IFRS) 15, the accounting treatment of credit card rewards programmes (CCRPs) is no longer explicitly prescribed. Uncertainty regarding what constitutes faithful representation, and the inconsistent accounting practices observed, has created a need for guidance on the appropriate accounting treatment of CCRP transactions. Accounting theory has the potential to provide the foundation for this guidance. As a result, the objective of this study was to develop a theoretical model for the accounting treatment of CCRP transactions using accounting theory.

This non-empirical qualitative conceptual study utilised document analysis, focussing specifically on accounting theory, to construct an accounting treatment model.

Applying the relevant accounting theory (International Accounting Standards Board's (IASB's) Conceptual Framework), a theoretical model for the accounting treatment of CCRP transactions was developed, which emphasises the importance of understanding the economic phenomenon (the CCRP transaction) and determining how management views the transaction (in isolation as marketing or as an integral part of the credit card transaction).

Addressing the problem of accounting for CCRP transactions with reference to accounting theory (which is the main element of scholarly activity in accounting) distinguishes this study from previous research on the topic. The CCRP accounting treatment theoretical model could assist CCRP management in faithfully accounting for a CCRP transaction and reduce uncertainty and inconsistency in practice. Moreover, this study identified the procedures to be employed when using accounting theory to determine the appropriate accounting treatment of business transactions. These procedures could be employed by accountants when faced with other transactions not covered by specific accounting standards.

The objective of this study is to systematically review the current body of literature in order to gain insights into the progress of research in accounting and auditing of cryptocurrencies, while also highlighting the associated risks and identifying gaps for future exploration.

To achieve this, a structured literature review was carried out, presenting a thorough and critical assessment of the available studies focused on cryptocurrencies within the accounting and auditing domain.

The analysis reveals that the majority of the research has concentrated on the reporting and measurement aspects of cryptocurrencies, neglecting the auditing aspect. Regarding the methodology, future investigations should incorporate both theoretical and empirical manners to address this gap. Various spheres require further exploration, as they have the potential to significantly impact practitioners and academics.

The significance of this paper lies in its comprehensive examination of the existing literature, synthesizing and organizing information pertaining to accounting and auditing considerations of crypto transactions. Moreover, it provides valuable insights into best practices and prompts identifying avenues for further research in this field.

The purpose of this study is to construct and test a new measure of auditor orientation using two audit quality-related tasks.

The sample consists of 66 Dutch and US graduate auditing students. Participants complete two tasks: one involving a lease classification and another, supplemental experiment involving a contingent liability judgment. The purpose is to construct a new measure for rules-based/ principles-based orientation. Rigorous, psychometric testing confirms that parts of tolerance for ambiguity (TOA) and need for cognition (NFC), together, form a new construct the authors identify as auditor orientation. The authors next conduct a main and supplemental experiment with novice auditor participants from both the USA and the Netherlands.

The authors begin with rigorous, psychometric testing using participants from the USA and the Netherlands. The resulting 10-item scale combines parts of TOA and NFC to reflect auditor orientation. The common themes across scale items are high (low) adaptability to complexity and a substance-over-form (form-over-substance) preference for principles-oriented (PO) (rules-oriented [RO]) auditors. Conducting two experiments, results from two distinct tasks confirm our research question; novice auditors classified as RO (PO) are more (less) likely to recommend a more aggressive/client-favorable disclosure judgment.

Auditor orientation (i.e. rules or principles) has a significant impact on the application of rules-based or principles-based standards. How the standards are applied, therefore, influences auditor decision-making and thus audit quality. However, there is a paucity of auditor orientation research to date, including a validated measure. The study contributes a new measure for future research in the related accounting standards and audit quality literatures, while also identifying a potentially important construct in auditor training.

This case study has been prepared after thoroughly studying the Indian wine industry. Secondary data for the value of wine imported in India has been taken from the website of the Ministry of Commerce and Industry, Government of India. Data for GDP per capita for India has been taken from World Development Indicators, World Bank. Data for revenue generation of top five countries have been sourced from Statista Report on Indian wine market. Fictitious names are used for the Winery (Romaniszyn) and the individual (Harish G.) working there.

This case revolves around accounting complexities for starting a winery in India. A new vineyard comes with the challenge of the gestation period (five years), during which it would not generate revenue. Harish G. was adept at business development and had experience working with an Italian winery. He was unaware of how difficult accounting decisions would be, including determining the quantum of funds required, ascertaining different financial options to purchase assets and meeting cash requirements. He knew he would not be able to generate any sales for five years at the newly formed winery; the grapevines imported from New Zealand took that long to reach maturity. Furthermore, given that Harish was starting a new brand of wine, he also faced constraints with attracting new customers.

This case can be used in teaching undergraduate and postgraduate students in the introductory session of a financial accounting course. It is designed to approach basic accounting concepts, permitting the class to discuss and focus on the principal thought process of starting a real business and accounting for the transactions as and when they occur rather than only on mathematical computations. The objective of this case study is attained by involving the students in recording various accounting transactions and decisions the winery’s management must take over the time from early plantation to bottling of the wine. Every decision assesses the students’ comprehension of accounting concepts by making them analyze and resolve the accounting issues raised.

The purpose of this paper is to examine potential financial accounting treatments for cryptocurrencies, including the current guidance, and compare the benefits and shortcomings of each method. It proposes the introduction and use of an intangible asset revaluation model. The study aims to inform both standard setters and financial statement preparers of the most appropriate accounting treatment of this digital asset.

This paper uses an exploratory analysis and conceptualizes each technical treatment option. For each potential treatment, this paper describes the technical accounting guidance and financial statement implications. The study also uses an illustration to compare the outcomes of each treatment option.

This paper provides insights into the most appropriate financial accounting treatment of cryptocurrencies. Findings indicate the best option is an intangible asset revaluation model that allows firms to elect a fair value option and record fluctuations in market value to other comprehensive income. This model would improve the accuracy of asset numbers while maintaining the relevance of income amounts by preventing large gains or losses from fair value fluctuations from flowing through the income statement.

The number of firms that hold cryptocurrencies on their balance sheet remains small, thus the research is limited to anecdotal and expository analysis.

The study includes implications for accounting standard setters as they continue to deliberate the appropriate financial accounting treatment for cryptocurrencies. The study can inform the standard setting process and impact future authoritative guidance.

The use of cryptocurrency is extremely popular among individual investors and consumers. Updating accounting guidance on crypto can help support a robust crypto market through a useful, informative approach to measurement and reporting. This can also aid in improving the economic prosperity of crypto investors.

This paper fulfills an identified need to examine and understand appropriate accounting guidance for cryptocurrencies. Current guidance has been deemed ineffective and there is debate regarding the proper treatment moving forward. This paper contextualizes this debate and provides suggested solutions.

Prior research shows that religiosity affects the degree of managers' risk aversion. As a result, religious firms are less likely to invest in R&D activities. Moreover, US GAAP treats these investments as expenses. For this reason, religious firms have fewer expenses in their earnings and are less likely to be in financial distress.

Data are collected from Worldscope and the Churches and Church Membership files of the American Religion Data Archive website from 1985 to 2018. With 18,199 observations in US context, the authors used the marginal effect to test the mediating effect of R&D accounting treatment.

The authors find that the marginal effect of religiosity on financial distress with US GAAP is higher than the marginal effect of religiosity on financial distress with capitalization of R&D costs, which means that accounting treatment can explain the relation between religiosity and financial distress in the US context.

The authors used linear interpolation and linear extrapolation data to be able to conduct this research over a period of 1985–2018. For future researches, the authors propose to test other factors which can explain the relationship between religiosity and financial distress based on the ethics element.

These results should be of interest to regulators because treating R&D activities as expenses can destroy the accounting performance of firms that prefer investing in risky projects. This favoritism prevents the comparison between two firms in the same industry with different risk-taking behaviors. This problem is more prevalent if the authors have two firms with different ratios of religiosity. This paper suffers from a major limitation related to data availability.

This may be the first study that investigates why religious firms are less likely to be in financial distress. This paper notes that religious firms are less likely to be in financial distress because their conservative behavior towards R&D activities coincides with the conservative R&D accounting treatment. In fact, the mismatch between expenses and revenues from R&D activities can cause financial distress.

This study aims to evaluate Islamic bank compliance with the accounting and auditing organisation for Islamic financial institutions (AAOIFI), assess the impact of multiple accounting standards in Islamic banking, examine the need for private accounting standards and assess international financial reporting standards (IFRS) compatibility with Islamic banking and analyse financial leasing accounting in Islamic banking compared to IFRS 16.

A combination of comparative theoretical analysis, physical examination, and semi-structured interviews has been used as a research methodology. These methods are interconnected and complement each other to provide a comprehensive approach to address the research questions.

Islamic banks in various countries show varying compliance with AAOIFI accounting standards. Some fully comply, while others adopt a hybrid approach combining AAOIFI and IFRS. Differences in accounting treatments can result in conflicts, asset inflation and financial statement discrepancies. Challenges and criticisms faced by AAOIFI standards include violating the matching principle and lacking faithful representation. Collaboration among academics, standards-setting bodies and organisers is crucial for guiding the reporting of Islamic financial statements.

The research identifies gaps in implementing Islamic accounting standards and proposes strategies to enhance compliance, improve performance and increase transparency in Islamic financial institutions. It highlights the importance of a harmonised and universally accepted accounting framework for Islamic banking, considering the compatibility between IFRS and Islamic principles.

Social implications have arisen regarding the global acceptance of Islamic finance, which leads to an increase in socially Islamic finance exchange.

This research examines the consequences of using multiple accounting standards in the Islamic banking industry and discusses the need for private accounting standards and compatibility with IFRS.

The purpose of this study is to identify the norms that underlie and condition the decisions made by preparers of financial reports.

This interview-based study illustrates how financial report preparers engage in behaviors linked to the perception of recognition and measurement of internally generated intangible assets by important stakeholders. All of the companies included in the study adhere to International Financial Reporting Standards when creating their consolidated financial statements. The participants selected for the study are involved in accounting decisions related to research and development in accordance with International Accounting Standard (IAS) 38.

The authors identify the normative assumptions underlying the recognition and measurement of internally generated intangibles, which are based on concerns of consistency, credibility and reasonableness. The authors find that the normative basis for legitimacy in financial accounting is primarily related to cognitive legitimacy and is not of a moral or pragmatic nature.

The study reveals that recognition and measurement of internally generated intangibles in financial accounting relate to legitimacy. The authors identify specific norms that form the basis of this legitimacy, namely, consistency, credibility and reasonableness. These identified norms serve as constraints, mitigating the risk of judgment misuse within the IAS 38 framework for earnings management.

The purpose of this study is to provide a harmonisation framework for the diverse accounting practices by extractive industries.

The study takes a three-stage approach. The first involves a comprehensive literature review of the historical evolution of accounting regulations by extractive industries. The second involves constructing an accounting practice index for extractive industries. The third involves constructing a harmonisation framework.

The accounting practice index provides empirical evidence of the wide diversity of accounting practices by extractive industries. Analysis of the literature review addresses the several attempts by accounting and regulatory bodies to standardise the diverse practices of accounting by extractive industries and reasons for the lack of successful standardisations. The authors extract lessons from these previous attempts and propose a harmonisation framework.

The proposed harmonisation framework can be used to align together the diverse accounting practices by extractive industries and enhance comparability and consistency of accounting figures and statements produced by these industries. Harmonising the diverse accounting practices is crucial for investment decision-making.

The harmonisation framework is the first of its kind that could enhance the comparability of accounts of extractive industries’ firms and be used to harmonise diverse accounting practices by other industries.

This study aims to compare machine learning models, datasets and splitting training-testing using data mining methods to detect financial statement fraud.

This study uses a quantitative approach from secondary data on the financial reports of companies listed on the Indonesia Stock Exchange in the last ten years, from 2010 to 2019. Research variables use financial and non-financial variables. Indicators of financial statement fraud are determined based on notes or sanctions from regulators and financial statement restatements with special supervision.

The findings show that the Extremely Randomized Trees (ERT) model performs better than other machine learning models. The best original-sampling dataset compared to other dataset treatments. Training testing splitting 80:10 is the best compared to other training-testing splitting treatments. So the ERT model with an original-sampling dataset and 80:10 training-testing splitting are the most appropriate for detecting future financial statement fraud.

This study can be used by regulators, investors, stakeholders and financial crime experts to add insight into better methods of detecting financial statement fraud.

This study proposes a machine learning model that has not been discussed in previous studies and performs comparisons to obtain the best financial statement fraud detection results. Practitioners and academics can use findings for further research development.