Impact of accounting process characteristics on accounting outsourcing - Comparison of users and non-users of cloud-based accounting information systems

Abstract

Prior literature informs us that a company’s decision to outsource a business process depends on process characteristics such as how frequently the process is performed or how specific the assets required by the process are. In this article, we compare the effects of accounting process characteristics on outsourcing decisions across users of traditional and cloud-based accounting information systems (AIS). By focusing on outsourcing of accounting processes among small and medium sized enterprises, we investigate the effect of five business process characteristics (frequency, human asset specificity, uncertainty, information intensity, and need for customer contact) on the outsourcing decision. Our results reveal that process frequency has a weaker negative effect on the outsourcing decision among users of cloud-based AIS. This appears to contribute to users of cloud-based AIS outsourcing a larger variety of accounting processes. Compared to traditional AIS, the inherent properties of cloud-based AIS such as ubiquitous access, scalability, and integration seem to encourage users of cloud-based AIS to also outsource processes that are frequently performed.

Publication DOI: https://doi.org/10.1016/j.accinf.2019.06.002
Divisions: Aston Business School > Operations & Information Management
Aston Business School
Additional Information: © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Accounting,Cloud-based accounting information systems,Outsourcing,Small and medium-sized enterprises,Transaction cost economics,Management Information Systems,Accounting,Finance,Information Systems and Management
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Related URLs: https://www.sci ... 467089518300629 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2019-09-01
Published Online Date: 2019-07-18
Accepted Date: 2019-03-22
Authors: Asatiani, Aleksandre ( 0000-0002-7358-9018)
Apte, Uday
Penttinen, Esko
Rönkkö, Mikko
Saarinen, Timo

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 18 January 2021.

License: Creative Commons Attribution Non-commercial No Derivatives


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