The accounting profession continues to face a talent shortage. In addition, the skills and demands of accountants continue to evolve as technology changes. At the same time, many autism spectrum disorder (ASD) persons remain unemployed or underemployed. Companies, including the Big 4, have begun hiring programs looking at a diverse set of individuals, including ASD persons. General anecdotes suggest

This paper provides a review of recent publications and working papers on ChatGPT and related Large Language Models (LLMs) in accounting and finance. The aim is to understand the current state of research in these two areas and identify potential research opportunities for future inquiry. We identify three common themes from these earlier studies. The first theme focuses on applications of ChatGPT

The first goal of this paper is to propose guidelines for digital transformation (DT) voluntary disclosure, using as a starting point the DT voluntary disclosure practices followed by leading European companies. As a second goal, we analyse the factors that may be influencing the DT reporting practices adopted by these companies.

In this study, we seek to provide insights into the conflicting findings from prior research about whether the consequences of a cybersecurity breach spillover to non-breached bystander firms in the same industry − a phenomenon known as contagion effects. When considering the implications of a breach for a bystander firm, we suggest investors will rely on the loss heuristic and thus view loss (profit)

In the government procurement process, waste and abuses are hard to avoid, and there are usually latencies between the event occurrence and detection works. The continuous audit methodology has been adopted by many public and private firms to actively monitor transactions and detect possible anomalies. Compared to the adoptions in the private sector, implementations of continuous audit and monitoring

Historically, literature suggests that a variety of accounting roles will be replaced by Artificial Intelligence (AI) and related technologies; however, in recent years there is a growing recognition that accounting can in fact harness AI’s potential to add value to organisations. Commentators have highlighted the need for increased research exploring accounting and AI and for accounting scholars to

In March 2022, the Securities and Exchange Commission (SEC) proposed the mandatory reporting of cybersecurity risk management policies for public companies. This study aims to explore the potential impact of cybersecurity risk management strategy disclosure on nonprofessional investors. Using a 4 x 1 between-participants experimental design, we examine whether nonprofessional investors’ perceptions

This paper proposes the concept of artificial intelligence co-piloted auditing, emphasizing the collaborative potential of auditors and foundation models in the auditing domain. The paper discusses the future relationship and interactions of human auditors and AI, imagining an audit setup where auditors’ capabilities are enhanced through artificial intelligence across a variety of audit tasks. To exemplify

To address the need for reporting and disclosure of cryptocurrency holdings in compliance with the FASB guidance for the use of fair value measurements for cryptocurrency (FASB, 2023), this paper develops a modeling process for reporting entities to measure the market value of cryptocurrencies with limited or no observable transactions. In this valuation model, we consider the last observable market

This study uses analytical models to investigate whether requiring cybersecurity assurance or a particular maturity level for vendors or contractors will help them improve their cybersecurity management. Our findings suggest that, if a supplier decides on its preferred cybersecurity maturity level without knowing what level a contract requires, the supplier is more likely to exert more effort to improve

Digitization is fundamentally changing how organizations create and deliver business value, with information technology (IT) leveraged to improve business processes and controls. Its pervasive effects upon organizations’ risk exposures and performance requires boards’ prudent and integrated consideration of the resultant IT opportunities and risk management. However, IT governance research suggests

Governments shoulder the responsibility of pursuing a variety of sustainability objectives, the consequences of which may not be discernable in traditional reporting frameworks. Environmental, Social, and Governance (ESG) reporting would be a valuable addition to the existing financial, service, and infrastructure aspects of government reporting. While reportable data may be difficult to measure, smart

This study applies the methodology of the SEC (2018) to empirically determine thresholds for liquidity of crypto assets, utilizing two metrics for assessing liquidity: the Average Daily Volume (ADV) calculated by the number of units of crypto assets traded (ADV#) and by the traded dollar amounts (ADV$). Our findings reveal that the liquidity distribution patterns for both actively and thinly traded

Leveraging ubiquitous digital data, advanced hardware, and sophisticated software, Big Data Analytics (BDA) enables unprecedented in-depth examination of business processes. This paper investigates how the Big 4 accounting firms promote their use of technology-enabled analytics in auditing practices on their official websites. We find that all the Big 4 market their audit analytics as offering operational

This study aims to analyze whether non-financial (NF) performance is influenced by the quality of accounting information system (AIS) and the quality/usefulness of financial information (FI) and whether this influence is more pronounced in companies managed by women. Data of 381 Portuguese companies were subjected to structural equations model analysis. The results reveal that (1) companies managed

We investigate how graphical vividness and interactivity in displays of non-financial information following poor financial performance affect the judgments of nonprofessional investors. Leveraging the Hamilton and Winchel (2019) model of dual-process theories of persuasion in financial reporting, we hypothesize and find that graphical vividness and interactivity jointly influence nonprofessional investors

This study seeks to explore the potential of data-driven methods for developing a financial statement fraud prediction model. We emphasize that building a fraud prediction model that can be used to detect fraud in real-world applications should receive attention from researchers. However, the severe class imbalance issue and the complex nature of fraudulent activities make it a rather challenging task

Mobile payment has become increasingly popular in recent years. However, concerns remain about the information security risk management practices implemented by non-financial-institution mobile payment service providers, such as mobile phone carriers and technology companies, using tokenization systems and encryption mechanisms. Using the modified Delphi method and building on the COBIT 2019 framework

Intelligent Information Technology (IIT) applications are crucial in the audit process, enhancing quality, effectiveness, and efficiency. The client acceptance process (CAP), one of the critical audit steps, involves subjective evaluations where business managers' claims intersect with independent audit firm managers' expectations. This subjective nature introduces the potential for errors or misjudgments

Information technology internal control material weaknesses (ITICMW)s can lead to misrepresentations of companies’ financial information and inefficiencies in financial decision-making because of the significant role of IT in financial reporting processes. Previous studies of ITICMWs are mostly based on ITICMWs in general. Despite a few studies addressing specific categories of ITICMWs, they used pre-2010

Blockchain has been hyped and considered a potential game-changer for the recording of accounting transactions as it enables triple-entry accounting and real-time reporting. However, there is very little knowledge of the uptake of blockchain in accounting, and most blockchain accounting research is conceptual, lacking empirical evidence. This study addresses this gap and examines the organisational

Ever-increasing data breach incidents are destroying firms’ operations and financial sustainability. We examine the association between corporate social irresponsibility (CSIR) and data breach incidents, stock market reactions to these incidents, and how the affected firms respond to data breaches. Using a sample of 24,456 observations from 2005 to 2018, we find a positive and significant association

This article aims to analyse the impacts of new technologies, namely robotic process automation (RPA) and artificial intelligence (AI), on auditing firms. In particular, we focus on the companies’ everyday activities, organisational structure, hiring practices, and the competitive gap between Big4 and non-Big4 auditing firms. To this end, the article is based on a field study involving 14 auditing

Accounting fraud is a widespread problem that causes significant damage in the economic market. Detection and investigation of fraudulent firms require a large amount of time, money, and effort for corporate monitors and regulators. In this study, we explore how textual contents from financial reports help in detecting accounting fraud. Pre-trained contextual language learning models, such as BERT

This study analyses the organisational reengineering processes developed following the adoption of an Enterprise Resource Planning (ERP) system in a public university hospital. Interestingly, a public university hospital was obliged to adhere to a regional ERP system owing to regulatory requirements. This caused the elimination of the pre-existing information flow architecture and the need for further

Top managers have a decisive role in managing business organizations, including linking the effective use of their organizational resources with the corporate strategy. This study aims to analyze the influence of top management support on the utilization of management accounting systems (MAS) in SMEs. For this purpose, we explored the mediating role of four variables related to organizational decision-making

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Based on stakeholder theory, resource-based theory, and decision theory, this study explores the relationship between information technology governance and internal information quality in determining business entity tax savings. Specifically, we examine the effects of internal information quality and information technology governance on corporate tax savings. We also investigate the joint effect of

Prior research foresees that advancing digital technologies call for increasing competency levels of controllers. Competency theory predicts that achieving this will require increasing knowledge of these technologies and the ability to task-specifically use it. Empirical evidence of the recognition of these necessary conditions is missing. Drawing on competency literature and extant research on influences

We use Accounting Information Systems (AIS) -theory to develop a framework for analyzing and using machine learning in accounting research, emphasizing 1) specific accounting research tasks, 2) supervised and unsupervised models, and 3) inductive vs. deductive research designs. We apply our framework to organize AIS and accounting research and highlight opportunities for future AIS research using machine

Businesses are increasingly using artificial intelligence (AI) in accounting systems to reduce uncertainty and improve accuracy. However, algorithm aversion (Dietvorst et al., 2015) indicates that individuals often avoid information provided by automated systems as compared to that provided by humans. This paper is an exploratory step towards documenting an emotional response to AI. We experimentally

This article aims to shed light on digital transformation in the accounting sector from the perspective of institutional change. We performed a systematic literature review to understand how institutional change could be applied to research on Accounting Information Systems (AIS), using a quantitative method to categorize data through LSA (Latent Semantic Analysis) technique; and a qualitative method

Although the benefits of technological innovation are widely recognised, the accounting profession continues to undervalue and inadequately leverage technologies such as artificial intelligence, robotic process automation and blockchain. This study builds on earlier work on the antecedents and barriers to technology adoption and considers the role of technological, organisational and environmental

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This study examines factors that influence auditors’ intention to use blockchain. From the dual-factor perspective, it argues that auditors’ knowledge about the implications of blockchain for auditing enables their intention to use the technology. However, professional skepticism and perceived adequacy of accounting standards present barriers to the use, which reduce the effect of knowledge on use

I respond to Vosselman and De Loo’s (2023) critique of my earlier paper on agential realism, representation theory, and accounting information systems (Weber, 2020). In that paper, I argued that little is learned by using an agential realism lens to study accounting-related phenomena. I claimed that insights revealed using agential realism also could have been revealed through using existing lenses

In an in-depth field study, we investigate cyber security governance configurations vis-à-vis the five lines of accountability (5 LoA) – that is, the Three Lines Model extended by the accountability of executive management and the board of directors (IIA, 2020). The aim is to explore the configurations adopted by organizations in governing cybersecurity, and why it would matter for cyber security whether

Prior studies argue that information systems affect several accounting practices in organizations. However, there are factors affect design of accounting information systems and in turn accounting practices, and a comprehensive approach, to simultaneously understand relationships between accounting practices and information technology, and factors influence accounting information systems design, is

The increasing prevalence of big data, large stores of data that enable businesses to generate previously inaccessible insights, has resulted in performance gains for the firms that harness its capabilities. However, the impact that big data has on a firm’s profitability and financial position is rarely captured in its financial statements due to big data’s status as an internally generated intangible

Despite the advancements in technology, auditors still spend a significant amount of time performing repetitive and rule-based tasks. Our paper examines various audit scenarios within four accounting firms and discusses the potential for robotic process automation (RPA) to improve the efficiency and accuracy of these tasks. We propose and implement RPA-enabled solutions to make various procedures more

Recent calls in the information systems research community argue that we know intelligent systems deskill users, and future research should focus on how to design systems that do not deskill, rather than continue to examine whether the phenomenon occurs. This should be a wakeup call for public accounting firms focused on implementing restrictive audit support systems, which leads to de-skilling of

By facilitating the derivation of knowledge and qualitative measures from textual data, text mining techniques have come into vogue in various domains and industries. Namely in accounting, text mining outputs can elucidate, complement, and validate the customary quantitative data. This study creates an up-to-date view of text mining applications in accounting practice. Through a critical review of

This study investigates whether audit risks that accompany data breaches of major customer firms can spillover into the supply chain and affect audit fees of their suppliers. Based on the economic bond that exists between supplier firms and their major customers, we predict that data breach incidents of customer firms will lead to higher audit fees for their respective suppliers. Consistent with customer

The Theory of Technology Dominance (TTD) provides a theoretical foundation for understanding how intelligent systems impact human decision-making. The theory has three phases with propositions related to (1) the foundations of reliance, (2) short-term effects on novice versus expert decision-making, and (3) long-term epistemological effects related to individual deskilling and profession-wide stagnation

As Environment, Social, and Governance (ESG) information has become an essential resource for investors, regulators have attempted to assure its quality. While more companies offer ESG disclosure, it is usually not fully substantiated with supporting information. Assurance is needed to verify that ESG reports are free of substantive errors. However, traditional financial audit approaches are less effective

This study explores how an organization’s controllers (management accountants) give sense to the information provided by its business intelligence (BI) system, and thus shape the construction of information trust. A qualitative case study was conducted within a Finnish food manufacturing company, building on the notion of trust related to management accounting information and sensemaking theory. The

In this paper, we present a novel approach for reimagining the scope and impact of design science and behavioral science accounting information systems (AIS) research. We do so by first explicitly considering the broad impact of accounting on business functions. The proliferation of information technology throughout the organization coupled with the blurring of the lines between “accounting” and “business”

We develop an analytical model intended as the first stage in the development of expert systems to improve auditor knowledge in, and assist in the decision process of, Going Concern Opinions (“GCOs”). Our approach is consistent with a design science approach to developing information systems, resulting in an initial artifact, the mathematical model, which can, through iterative design science and behavioral

Cybersecurity breaches pose a significant risk to firms. To combat these risks, many firms engage in strategic cybersecurity risk management initiatives. While these efforts may reduce the likelihood of a cybersecurity breach, they do not eliminate the risk of a breach. In the event of a cybersecurity breach, firms may issue an apology to investors. This study uses an experiment to examine whether

Machine Learning (ML) applied to Robotic Process Automation (RPA) and chatbot interfaces can generate significant value for many business processes. However, these technologies generate the intended return only with a carefully planned deployment. Current literature only contains a small number of case studies about how the adoption of ML-based automation services impacts employees’ behavior. In particular

Reviewing literature is a demanding task that calls for effective tools. After examining literature review (LR) practices, this paper develops an innovative approach in representing literature. In particular, the paper introduces depictions based on a three-dimensional structure that enables the generation of unitary and highly informative literature representations, thereby improving the completeness

This paper is a response to Weber’s (2020) call for further debate on the (potential) contribution of agential realism for the understanding of the content and functioning of accounting information systems (AIS) (Weber, 2020). Contrary to Weber’s conclusions, we suggest that agential realism can make important contributions to AIS studies. In order to realize such contributions we have to acknowledge

Recent advances in technology have accelerated digitalization and intelligence in modern business. Particularly, the increasing use of Artificial Intelligence (AI) in managerial accounting is expected to accurately measure corporate performance, provide intelligent analyses, and predict the future of a company. However, along with the benefits, ethical concerns of using AI also arise, such as deprofessionalization

The first-two digits ExcessMAD test was created in 2016, allowing to evaluate whether a certain data set conforms to Benford’s Law (BL). The purpose of this study is to explore some questions that remained open: develop the exact and approximate mathematical formulation of the first and second digit ExcessMAD test and study the type I error of these tests when applied to different sample sizes conforming

We investigate the feasibility of machine learning methods for attributional content and framing analysis in corporate reporting. We test the performance of five widely-used supervised machine learning classifiers (naïve Bayes, logistic regression, support vector machines, random forests, decision trees) in a top-down three-level hierarchical setting to (1) identify performance-related statements;

We examine the effects of information technology material weaknesses on a firm’s reputation by examining how management’s actions before and after disclosure influence investors’ trust in management and perceptions of investment risk. Specifically, we look at the influence of: 1) management taking responsibility for an information technology material weakness, and 2) replacing the CFO with someone

This paper surveys the published work on how blockchain technology will impact accounting in general, but AI-enabled auditing specifically. The purpose is to investigate how blockchain technology can improve transparency and trust in accounting practice and how professionals can use blockchain data to improve decision-making, based on the qualities of immutability, append-only, shared, verified, and

This study demonstrates a way of bringing an innovative data source, social media information, to the government accounting information systems to support accountability to stakeholders and managerial decision-making. Future accounting and auditing processes will heavily rely on multiple forms of exogenous data. As an example of the techniques that could be used to generate this needed information