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This study aims to ascertain the intentions of risk managers to use artificial intelligence in performing their tasks by examining the factors affecting their motivation.

The study employs an integrated theoretical framework that merges the third version of the technology acceptance model 3 (TAM3) and the unified theory of acceptance and use of technology (UTAUT) based on the application of the structural equation model with partial least squares structural equation modeling (PLS-SEM) estimation on data gathered through a Likert-based questionnaire disseminated among Italian risk managers. The survey reached 782 people working as risk professionals, but only 208 provided full responses. The final response rate was 26.59%.

The findings show that social influence, perception of external control and risk perception are the main predictors of risk professionals' intention to use artificial intelligence. Moreover, performance expectancy (PE) and effort expectancy (EE) of risk professionals in relation to technology implementation and use also appear to be reasonably reliable predictors.

Thus, the study offers a precious contribution to the debate on the impact of automation and disruptive technologies in the risk management domain. It complements extant studies by tapping into cultural issues surrounding risk management and focuses on the mostly overlooked dimension of individuals.

Yet, thanks to its quite novel theoretical approach; it also extends the field of studies on artificial intelligence acceptance by offering fresh insights into the perceptions of risk professionals and valuable practical and policymaking implications.

This paper aims to investigate the factors influencing chief executive officers’ (CEOs') intentions to implement cloud technology in Italian small and medium-sized enterprises (SMEs).

The study proposes a model that integrates the theoretical construct of the technology acceptance model (TAM) with a classification of perceived benefits and risks related to cloud computing. The study employs a structural equation modeling approach to analyze data gathered through a Likert scale-based survey.

The findings indicate that risk perception has a strong negative effect on the intention to introduce cloud technology in firms. This effect is partially offset by the perceived ease of use of the technology.

The study provides a new theoretical framework that integrates the TAM and a classification of perceived risks to provide a clear view of management's cognitive processes during technological change. Moreover, the results show the main factors influencing decisions regarding the implementation of cloud computing in firms in light of the perception of risks. Finally, this study provides interesting findings for cloud service providers (CSPs) about their customers' decision-making processes.

The innovation brought by FinTech is strategically transforming the business models of banking entities, their operational efficiency and their relationship with customers and stakeholders. Although the financial drivers behind FinTech investments have been extensively explored, there remains a gap in the extant research regarding the influence of governance factors on these kinds of investments. This study seeks to address this gap by investigating whether and how governance composition and characteristics are associated with investments in FinTech projects, exploring a sample of Cooperative Credit Banks (CCBs) operating in Italy, a unique context where these small institutions represent more than half of the banking sector and that often face difficulties in adopting innovative and digital tools.

This study adopted a quantitative approach. Specifically, multiple regressions analyses were performed on a sample of 230 Italian CCBs during the period 2017–2022.

We find that the presence of a corporate social responsibility committee, managers with high IT skills, Board’s gender diversity, younger generation of managers and their educational level can significantly stimulate FinTech investments.

The study contributes to enriching the literature on FinTech and digital transformation in the banking sector, offering particular insights for regulators and managers of CCBs, who are particularly sensitive to innovation matters and increasingly inclined to strategically satisfy the needs of a 4.0 clientele.

This paper aims to analyze the determinants of the readability non-financial disclosure prepared under the Directive 2014/95/EU in the agrifood and beverage sector.

To reach this goal, an ordinary least squares (OLS) regression model is proposed employing readability and governance variables. The sample is based on European agrifood and beverage listed firms that exceeding 500 employees and are considered public interest entities, including 744 firm-year-observations from 2017, first year after the Directive entered in force, to 2020, last year available.

The authors' results suggest the importance of corporate governance mechanisms as drivers in reaching more readability of non-financial information.

This study provides useful suggestions to policy makers and managers for a better understanding of the role played by some factors on non-financial information (NFI) readability. Moreover, findings may help regulators in confirming that the establishment of a Corporate Social Responsibility (CSR) committee is a step in the right direction to strengthening firms' NFI readability. Lastly, this is beneficial for auditors and preparers who will pay more attention to the internal factors that can push for more (or less) understandability of NFI.

This research contributes to the academic and practical debate because it adds new insights into the literature on NFI readability and represents fertile area for future researches.

This study aims to present an overview of topics addressed in the papers appearing in this AAAJ special issue: Blockchain in accounting, accountability and assurance.

The authors present a review focussing on the papers published in this special issue. The authors imported the eight accepted papers into NVivo, coding them according to the research topics posed in the call for papers. Then, the authors conducted an in vivo coding for the emerging themes found in the papers.

Blockchain is a multifaced topic with multiple implications for accounting, auditing and accountability, the accounting professions, and governance. However, blockchain is still a developing topic. Blockchain research traditionally has four stages. More recently, a new research stage deserving more investigation is emerging based on the interaction of blockchain with other technological developments such as virtual reality and the metaverse.

The review not only uncovers and systematises the multiple implications of blockchain for accounting research. It also unveils the dark side of blockchain, focusing on the technology's negative environmental and social implications. Last, the authors highlight why accounting research should more extensively examine contemporary issues.

This study aims to investigate whether the characteristics of the chief financial officer (CFO) have an impact on the intensity of the corporate research and development (R&D) investment.

Based on hand-collected data for the CFOs of a sample of the largest European listed companies for the period 2013–2016, this study uses regression analyses to test empirically the association of CFO education, CFO gender and CFO age with R&D investment intensity.

The presence of female CFOs, CFOs with a Master of Business Administration (MBA) or Doctor of Philosophy (PhD) degree and older CFOs is positively associated with the intensity of R&D investment.

This study relies on some observable characteristics of CFOs and focuses on large listed companies.

The results of this study may help investors, stakeholders and practitioners to understand better which type of CFO characteristics are more likely to result in higher firm-level R&D investment intensity.

This study offers the first insights into the impact of CFOs, as the most prominent C-suite executives, on the level of corporate investments in R&D activity.

This study aims to provide an empirically informed view on the auditing profession’s readiness to embrace “disruptive” technologies. Relying on evidence from Big 4 employees in Italy, this study examines the factors that motivate auditors to use blockchain technology (BT).

To this aim, this study uses an integrated theoretical frame merging the third version of the technology acceptance model (TAM3) and the unified theory of acceptance and use of technology (UTAUT). The analytical model is based on an application of the structural equation modelling with partial least square estimation on data gathered through a Likert-based questionnaire.

The findings reveal that the main predictors of auditors’ intention to use blockchain are performance expectancy and social influence. Moreover, auditors’ effort expectancy in relation to this technology implementation and use appears to be a reasonably reliable predictor.

This paper contributes an evidence-based view to the discussion on the impact of automation and disruptive information and communication technologies, on the roles of accounting and auditing professionals. It uses a novel approach to analysis by integrating TAM3 and UTAUT within its theoretical model. It complements and extends the field of studies on technology acceptance by offering fresh insights into auditors’ perceptions. Finally, the paper highlights practical implications for business leaders aiming to use the advantages of BT in audit firms.

This paper aims to analyze the role of intellectual capital in the underexplored relationship between sustainable performance and credit access among private firms in Italy, where over 90% of businesses are small and medium enterprises. While D’Apolito et al. (2024) have investigated sustainability-linked bank financing among Italian listed small and medium-sized enterprises, this study takes a different approach by focusing on private firms and examining the influence of environmental, social and governance criteria on their credit access. The research seeks to deepen the understanding of how sustainable practices impact financial outcomes and access to funding for private enterprises.

To investigate the relationship between sustainable performance and credit access as well as the moderating role of intellectual capital, this study employs an ordinary least squares regression model. It utilizes an innovative measure of sustainable performance for private firms – the legality rating issued by the Italian Competition Authority in 2022 – drawing on prior research to establish a robust analytical framework.

The findings highlight the importance of incorporating environmental, social and governance criteria into the credit evaluation process for private firms. They underscore the critical role of intellectual capital – comprising human capital, structural capital and relational capital – as a moderating factor in the relationship between sustainable performance and credit access.

To the best of our knowledge, this study is the first to examine the moderating role of intellectual capital in the relationship between sustainable performance and credit access among Italian private firms. While substantial research exists on environmental, social and governance performance in large listed firms, there remains a notable gap concerning the sustainability criteria of private and unlisted entities. This study addresses this gap by providing insights into the unique dynamics of sustainable performance and financial access in the context of private enterprises.

This study aims to investigate the readability of financial risk disclosure divulged by listed banks of the first five European countries according to gross domestic product.

This study adopts the management obfuscation hypotheses and tests data gathered for a sample of 790 observations from listed banks in Europe covering the 2007–2018 period. This study uses a readability index (Gunning’s fog index) as the dependent variable for measuring the readability of banks’ mandatory financial risk disclosures. Moreover, it relies on a completeness index, discretionary accruals and several control variables for identifying the determinants of risk disclosure readability using ordinary least square regression for testing the hypotheses.

The findings show the existence of a positive relation\nship between readability and completeness of risk disclosure. In contrast, a negative relationship exists between readability and banks’ discretionary accruals.

This study expands the stream of accounting literature analyzing the lexical characteristics of narrative risk disclosure, and, by focusing on the financial risk disclosure of banks, it extends the readability-related debate, which has primarily concentrated on other types of disclosure to date. This study is relevant to regulators and policymakers for fostering reflections as actions for improving the financial risk disclosures readability. This study is also of potential interest for investors to better delve into the questions surrounding risk disclosure.