Audit cloud adoption by German audit firms
Autor(en): | Langhein, J. Thomas, O. |
Stichwörter: | Auditor technology adoption; Cloud computing; Computer assisted audit tools and techniques; Information systems; Information use, Audit tools; IT acceptance; It acceptances; IT infrastructures; Research models; Technical resources; Technology adoption; Unified theory; Unified theory of acceptance and use of technology, Computation theory; Unified theory of acceptance und use of technology | Erscheinungsdatum: | 2018 | Herausgeber: | Association for Information Systems | Journal: | International Conference on Information Systems 2018, ICIS 2018 | Zusammenfassung: | A profound transition from manual to digital audit procedures entails extensive reevaluation of requirements for audit firm organization, IT infrastructures, and expertise. Currently, many audit firms lack sufficient human and technical resources to master this transformation. Therefore, the audit domain is considering introducing a third party to the audit process, in which IT resources and skills are pooled. However, it is uncertain to what extent these so-called audit clouds can contribute to the future of auditing. So far, findings regarding audit cloud acceptance, a prerequisite for their establishment, could not be identified. To fill this research gap, this article describes the development of a research model based on the Unified Theory of Acceptance and Use of Technology. Due to a recent German law change regarding the recognition of legal certainty in cloud computing, the initial data collection is completed in Germany, with the goal of performing future studies in other jurisdictions. © International Conference on Information Systems 2018, ICIS 2018.All rights reserved. |
Beschreibung: | Conference of 39th International Conference on Information Systems, ICIS 2018 ; Conference Date: 13 December 2018 Through 16 December 2018; Conference Code:145376 |
ISBN: | 9780996683173 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062543379&partnerID=40&md5=289be494523308c78f06a9756df5e12f |
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