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The Accounting Information Systems (AIS) research field emerged around 30 years ago as a subfield of accounting but is at risk to develop further as an isolated discipline. However, given the importance of digitalization and its relevance for accounting, an amalgamation of the parent research field of accounting and the subfield of accounting information systems is pivotal for continuing relevant research that is of high quality. This study empirically investigates the distance between AIS research that is included in accounting literature and AIS research that prevails in dedicated AIS research outlets.

To understand which topics define AIS research, all articles published in the two leading AIS journals since 2000 were analyzed. Based on this topical inventory, all AIS studies that were published in the top 16 accounting journals, also since 2000, are identified and categorized in terms of topic, subtopic and research methodology. Next, AIS studies published in the general accounting field and AIS studies published in the AIS field were compared in terms of topics and research methodology to gain insights into the distance between the two fields.

The coverage of AIS topics in accounting journals is, to no small extent, concentrated around the topics “information disclosure”, “network technologies” and “audit and control”. Other AIS topics remain underrepresented. A possible explanation might be the focus on archival studies in accounting outlets, but other elements might play a role. The findings suggest that there is only a partial overlap between the parent accounting research field and the AIS subfield, in terms of both topic and research methodology diversity. These findings suggest a considerable distance between both fields, which might hold detrimental consequences in the long run, if no corrective actions are taken.

This is the first in-depth investigation of the distance between the AIS research field and its parent field of accounting. This study helped develop an AIS classification scheme, which can be used in other research endeavors. This study creates awareness of the divergence between the general accounting research field and the AIS subfield. Given the latter's relevance to the accounting profession, isolation or deterioration of the AIS research must be avoided. Some actionable suggestions are provided in the paper.

This study aims to examine the impact of national culture on classification shifting in Eastern European Member States of EU Eastern European countries (EEU) vis-à-vis the Western Member States of EU (WEU). The EEU provides a unique sample to study the quality of financial reporting that the authors measure with classification shifting given that for more than five decades they were following the model of a centrally planned economy, where market-based financial reporting was absent. Yet, the EEU transitioned to a market-based economy and completed its accession to the EU.

This study uses a panel data set of firm year observations from 1996 and 2020 that covers the full transition of EEU. This empirical analysis is based on fixed effects panel regression analysis where the authors report a plethora of identifications.

This study finds classification shifting in the EEU countries since their transition to the market-based economy, though they have no long record of market-based financial reporting. This study also notices that cultural factors are associated with classification shifting across all Member States of the EU. This study further examines the impact of interactions between cultural characteristics and special items and reveal variability between WEU and EEU. As part of the robustness analysis, this study also tests the impact of culture on real earnings management measures for both WEU vs EEU, confirming the variability of the impact of culture on earnings management.

Future research could explore the role of religion differences in WEU vis-à-vis EEU states, as they are also subject to cultural differences.

The findings are important for regulators, external monitors and investors, as they show that cultural factors affect earnings management with some variability across countries in the EU, and they should be acknowledged in policymaking.

The findings show that cultural differences between EEU and the “old” Member States of the EU could explain classification shifting.

To the best of the authors’ knowledge, this is the first study that sheds light on the impact of national culture on classification shifting in EEU of EU vis-à-vis the “old” WEU of EU.

The purpose of this research paper is to review various results regarding ethics in behavioral accounting. It critiques accountants’ ethical standards and discusses Islamic work ethics to solve related problems.

This research uses a systematic literature review of peer-reviewed articles on accountant ethics published in Scopus from 2011 to 2021.

The findings describe a broader trend with a focus on the internal and external factors that influence the ethical behavior of accountants. The external factors are culture, ethical climate and training and education, whereas the internal ones are demographics, emotions and moral intensity, honesty, intention, personal attributes and professional vs commitment. Furthermore, Islamic work ethics is presented to overcome the problem of ethical behavior among accountants.

It was concluded that knowledge of ethics in behavioral accounting provides sufficient scope for further research. The results show that the 11 criteria of Islamic work ethics produce quality work capable of avoiding violations while working for the good of the community and the environment.

The initial research focused on the relationship between Islamic work ethics in behavioral accounting.

The study aims at examining the relationship between the forms of misclassification practices, namely expense shifting and revenue shifting. In particular, the study aims at identifying the form of shifting that has been preferred by firms to meet the industry average profitability.

Core earnings and operating revenue expectation models are used to measure expense shifting and revenue shifting, respectively. The panel fixed-effects models are used to control for unobserved heterogeneity across industries and time.

Based on a sample of Bombay Stock Exchange-listed firms, the author finds that firms prefer expense shifting over revenue shifting to meet industry average profitability, implying that firms choose the shifting tool based on the relative advantage. Further, the findings deduced from the empirical results demonstrate that firm life cycle and mandatory adoption of International Financial Reporting Standards (IFRS) moderates the relationship between shifting forms and industry average profitability. However, the negative impact of IFRS on shifting practices is found to be less pronounced among BigN audit firms.

The study is among the pioneering attempt to document the substitution relationship between shifting forms. It is the first study that examines a form of classification shifting, where gross profit and core earnings both change as an effect of misclassification.

The purpose of this paper is to study how the government stimulates incineration plants to participate in waste classification management, and how to adjust the subsidy strategy for them.

Considering that the classification behavior of residents will produce herd effect, and waste classification can reduce the disposal cost of incineration plants, the authors constructed a differential game model between the government and waste incineration plants, and analyzed the input strategy of the government and incineration plants when they cooperate in the management of municipal waste classification.

Increasing the input level of supervision or raising subsidy price, the government can promote incineration plants to increase the input level of incentive. Moreover, from a long-term perspective, increasing the input level of supervision is more effective. Compared with government supervision, the method of incineration plants incentive can more effectively increase the amount of waste disposal. Furthermore, the government supervision and the incineration plants incentive have a positive interaction effect on improving the amount of waste disposal. Increasing the input level of incineration plants incentive or the level of waste-to-energy technology can increase the amount of waste disposal, and from a long-term perspective, increasing the level of R&D investment is more beneficial to increasing the amount of waste disposal.

The results are helpful to improve the investment in the management of waste classification, and also provide a certain theoretical basis for the government's subsidy policy for incineration plants, so as to reduce the financial pressure of the government.

This study aims to investigate earnings management practice of classification shifting of revenues in Chinese-listed firms.

The study employs a dataset of 2,920 A-listed firms from Chinese stock exchanges of Shanghai and Shenzhen for the period of 2003–2019. We apply both univariate and panel regression analysis by using fixed effect estimation with robust standard errors.

Our findings reveal that firms misclassify revenues by taking advantage of the flexibility provided by applicable financial reporting standards. The empirical evidence obtained through regression analysis suggest that managers reclassify non-operating revenues as operating revenue to alter the economic reality while seeking the advantage of financial reports users’ vulnerability for valuing the upper half of income statement items more as compared to lower part. The results further indicate that international financial reporting standards adoption inhibits the earnings management practices using classification shifting of revenues. It is also concluded that firms, which are suffering losses or having low growth, are more persistently involved in misclassification of revenues.

The study is unique from the point of view that it investigates earnings management from the prospective of revenue’s classification in an emerging market characterized by various market imperfections such as lower investor protection and higher information asymmetry.

In a virtual interconnected digital space, the metaverse encompasses various virtual environments where people can interact, including engaging in business activities. Machine learning (ML) is a strategic technology that enables digital transformation to the metaverse, and it is becoming a more prevalent driver of business performance and reporting on performance. However, ML has limitations, and using the technology in business processes, such as accounting, poses a technology governance failure risk. To address this risk, decision makers and those tasked to govern these technologies must understand where the technology fits into the business process and consider its limitations to enable a governed transition to the metaverse. Using selected accounting processes, this study aims to describe the limitations that ML techniques pose to ensure the quality of financial information.

A grounded theory literature review method, consisting of five iterative stages, was used to identify the accounting tasks that ML could perform in the respective accounting processes, describe the ML techniques that could be applied to each accounting task and identify the limitations associated with the individual techniques.

This study finds that limitations such as data availability and training time may impact the quality of the financial information and that ML techniques and their limitations must be clearly understood when developing and implementing technology governance measures.

The study contributes to the growing literature on enterprise information and technology management and governance. In this study, the authors integrated current ML knowledge into an accounting context. As accounting is a pervasive aspect of business, the insights from this study will benefit decision makers and those tasked to govern these technologies to understand how some processes are more likely to be affected by certain limitations and how this may impact the accounting objectives. It will also benefit those users hoping to exploit the advantages of ML in their accounting processes while understanding the specific technology limitations on an accounting task level.

This study aims to investigate the extent to which newly certified public accountants (CPAs) and accounting graduate students possess a comprehensive understanding of cryptocurrencies and the skills they have acquired throughout their education.

A qualitative analysis was used through semi-structured interviews to obtain an in-depth insight into cryptocurrencies, which could not be investigated easily through quantitative methods, and to provide an understanding of the context for cryptocurrencies from CPA and non-CPA students' points of view. This was in addition to focusing on understanding the differences between the students' thoughts.

This study found that recent accounting graduates and CPA members have the least awareness of cryptocurrencies, likely due to a lack of professors' comprehension or exposure to the concept. However, students involved in forensic courses provided more information about cryptocurrencies compared with other students.

The data are limited to only a single country. Given that cryptocurrencies are a relatively new notion in accounting, there is an alarming lack of legislation. Further, the authors found that recent accounting graduates and CPAs had the same level of knowledge of cryptocurrencies, most probably due to a lack of exposure during their education and academics' limited understanding of the concept.

The students' differing answers about cryptocurrencies show differences in their current level of understanding of cryptocurrencies.

This study has identified that the vast majority of accounting graduates lack adequate knowledge about cryptocurrencies or access to adequate resources, despite understanding the fundamental concepts of cryptocurrency.

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.

This paper aims to assess the factors that may explain the International Public Sector Accounting Standards (IPSAS) convergence, considering Hofstede’s cultural dimensions as the theoretical reference for the cultural approach proposed. Additional factors include countries’ contextual and macroeconomic characteristics.

Logistic and probit regression models were used to identify the factors that may explain the IPSAS (fully or adapted) use by countries, including 166 countries in this assessment (59 for those whose cultural dimensions are available).

The findings consistently indicate collectivism and indebtedness levels as explanatory factors, providing insights into cultural dimensions along with macroeconomic characteristics as a relevant factor of countries’ convergence to IPSAS.

There are different levels of IPSAS convergence by countries that were not considered. This aspect may hide different countries’ characteristics that may explain those options, which could not be distinguished in this paper.

As a result of this paper, the International Public Sector Accounting Standards Board may gain insights that can be applied within the IPSAS due process to overcome the main challenges when collaborating with national authorities to achieve a high level of convergence. This analysis may include how to accommodate countries’ cultural differences as well as their contextual and macroeconomic characteristics.

There is a trend of moving toward accrual-based accounting standards by countries. Because the public sector embraces a new culture following the IPSAS path, it is relevant to assess if there are cultural factors, besides contextual and macroeconomic characteristics, that may explain the countries’ convergence to those standards.

To the best of the authors’ knowledge, this is the first cross-country analysis on the likely influence of cultural dimensions on IPSAS convergence as far as the authors’ knowledge.