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Title: Owner manager’s acceptance of cloud accounting: an evaluation based on utaut model
Authors: Haleem, Athambawa
Keywords: Cloud Accounting
Cloud Computing
Accounting Software
Issue Date: 25-Jun-2020
Publisher: Faculty of Management and Commerce South Eastern University of Sri Lanka
Citation: Journal of Information Systems & Information Technology Vol. 5 No. 1 2020 pp. 75-88.
Abstract: This study actually discusses the theoretical context with the adoption of cloud accounting in Sri Lanka using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The accounting practices have significantly improved with the changes in technology especially cloud computing. The exogenous variables: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Condition, Behavioral Intention of Cloud Accounting and endogenous variable: Use Behavior of Cloud Accounting were measured with moderating effect of experience and organization size at the individual level to enable it as a research model using previous research. Data was collected through a questionnaire to test the hypothesised model from 354 owner-managers who runs small-medium enterprises in Sri Lanka. Structured equation modelling was used in analyzing data. The result shows that Performance Expectancy, Effort Expectancy and Social Influence have an impact on Behavioral Intention of Cloud Accounting and Facilitating Condition directly influence on Use Behavior of Cloud Accounting while Behavioral Intention of Cloud Accounting has mediated between Performance Expectancy, Effort Expectancy, and Social Influence and Use Behavior of Cloud Accounting. Moderating effects represented by both experience and organization size have a significant effect on Use Behavior of Cloud Accounting. Findings from this study support the adoption of cloud accounting in SME of Sri Lanka. In order to achieve sustainable development, the Sri Lankan government should take initial measures to develop the infrastructure and popularize cloud accounting in Sri Lanka.
ISSN: 24780677
Appears in Collections:Vol.5 No.1 (2020)

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