Ascertaining auditors’ intentions to use blockchain technology: evidence from the Big 4 accountancy firms in Italy

Luca Ferri, Rosanna Spanò, Gianluca Ginesti and Grigorios Theodosopoulos

Meditari Accountancy Research, 2020, vol. 29, issue 5, 1063-1087

Abstract: Purpose - 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). Design/methodology/approach - 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. Findings - 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. Originality/value - 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.

Keywords: Auditors; Blockchain; Intention to use; Automation; Change in auditing/accounting profession (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eme:medarp:medar-03-2020-0829

DOI: 10.1108/MEDAR-03-2020-0829

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