Understanding the behavioral intention to use SaaS ERP sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance

Yap, Mun Keong * and Lee, Angela Siew Hoong * (2020) Understanding the behavioral intention to use SaaS ERP sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance. In: Information Science and Applications. Lecture Notes in Electrical Engineering., 621 . Springer, Singapore, pp. 117-128. ISBN 978981151465

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Official URL: http://doi.org/10.1007/978-981-15-1465-4_13

Abstract

The use of cloud solution to support Enterprise Resource Planning (ERP) system has become the priority of many organizations to stay competitive in the current global world. This research will be focusing on the behavioral intention among the employees to use Software as a Service (SaaS) ERP sub-modules in a global construction tool provider considering perceived enjoyment, anxiety and system performance. The objective of this research is to analyze and investigate the employees’ behavioral intention to use SaaS ERP sub-modules in the construction tool provider companies considering these unique variables and predictors. The findings of this research can assist and support both organizations and researchers to build a fundamental level on understanding how these variables can predict the user behavioral intention to use SaaS ERP sub-modules in a global construction tool provider company which significantly beneficial. 250 users ranging from executive and higher management level globally were targeted in 25 countries. A statistical tool will be used to analyze respondents’ data and structural equation modelling will be used to analyses the responses and the relation of each hypothesis. The hypothesis will be tested based on the data consolidated.

Item Type: Book Section
Uncontrolled Keywords: SaaS ERP sub-modules; Perceived enjoyment; Perceived anxiety; Perceived system performance; Behavioral intention
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Sunway University > School of Science and Technology > Dept. Computing and Information Systems
Depositing User: Dr Janaki Sinnasamy
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Date Deposited: 24 Jun 2020 03:21
Last Modified: 24 Jun 2020 03:21
URI: http://eprints.sunway.edu.my/id/eprint/1313

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