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

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-mod...

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Main Authors: Yap, Mun Keong *, Lee, Angela Siew Hoong *
Format: Book Section
Language:English
Published: Springer 2020
Subjects:
Online Access:http://eprints.sunway.edu.my/1313/1/Angela%20Lee%20Understanding%20Behaviour%20Intention%20SAAS_AngelaLee2020%20_Preprint.pdf
http://eprints.sunway.edu.my/1313/
http://doi.org/10.1007/978-981-15-1465-4_13
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Institution: Sunway University
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id my.sunway.eprints.1313
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spelling my.sunway.eprints.13132020-10-07T04:56:44Z http://eprints.sunway.edu.my/1313/ Understanding the behavioral intention to use SaaS ERP sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance Yap, Mun Keong * Lee, Angela Siew Hoong * QA75 Electronic computers. Computer science 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. Springer 2020 Book Section PeerReviewed text en cc_by_nc_4 http://eprints.sunway.edu.my/1313/1/Angela%20Lee%20Understanding%20Behaviour%20Intention%20SAAS_AngelaLee2020%20_Preprint.pdf 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 http://doi.org/10.1007/978-981-15-1465-4_13 doi:10.1007/978-981-15-1465-4_13
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Yap, Mun Keong *
Lee, Angela Siew Hoong *
Understanding the behavioral intention to use SaaS ERP sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance
description 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.
format Book Section
author Yap, Mun Keong *
Lee, Angela Siew Hoong *
author_facet Yap, Mun Keong *
Lee, Angela Siew Hoong *
author_sort Yap, Mun Keong *
title Understanding the behavioral intention to use SaaS ERP sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance
title_short Understanding the behavioral intention to use SaaS ERP sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance
title_full Understanding the behavioral intention to use SaaS ERP sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance
title_fullStr Understanding the behavioral intention to use SaaS ERP sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance
title_full_unstemmed Understanding the behavioral intention to use SaaS ERP sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance
title_sort understanding the behavioral intention to use saas erp sub-modules considering perceived enjoyment, perceived anxiety and perceived system performance
publisher Springer
publishDate 2020
url http://eprints.sunway.edu.my/1313/1/Angela%20Lee%20Understanding%20Behaviour%20Intention%20SAAS_AngelaLee2020%20_Preprint.pdf
http://eprints.sunway.edu.my/1313/
http://doi.org/10.1007/978-981-15-1465-4_13
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