Assessment of Complexity in Cloud Computing Adoption: a Case Study of Local Governments in Australia

Ali, O; Shrestha, A; Ghasemaghaei, M; Beydoun, G

Assessment of Complexity in Cloud Computing Adoption: a Case Study of Local Governments in Australia

Ali, O Shrestha, A Ghasemaghaei, M Beydoun, G

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Publisher:: Springer
Publication Type:: Journal Article
Citation:: Information Systems Frontiers: a journal of research and innovation, 2022
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Ali, O
dc.contributor.author	Shrestha, A
dc.contributor.author	Ghasemaghaei, M
dc.contributor.author	Beydoun, G https://orcid.org/0000-0001-8087-5445
dc.date.accessioned	2022-05-25T06:29:55Z
dc.date.available	2022-05-25T06:29:55Z
dc.date.issued	2022-01-01
dc.identifier.citation	Information Systems Frontiers: a journal of research and innovation, 2022
dc.identifier.issn	1387-3326
dc.identifier.issn	1572-9419
dc.identifier.uri	http://hdl.handle.net/10453/157687
dc.description.abstract	This research paper assesses complexity in cloud computing adoption, using the context of the local government sector in Australia. The research utilized both cloud computing adoption literature and an Information Systems Complexity Framework to propose a complexity assessment model for cloud computing adoption. A mixed method approach was used in this research. Firstly, we conducted 21 indepth interviews with IT managers in the local governments in Australia to obtain their insights into the complexity of cloud computing adoption. Secondly, a quantitative method is used in which 480 IT staff from 47 local governments responded to an online survey to validate the proposed assessment model. The findings indicate that structural complexity of an organization (i.e., knowledge management), structural complexity of technology (i.e., technology interoperability, and data processing capability), dynamic complexity of an organization (i.e., business operations), and dynamic complexity of technology (i.e., systems integration, IT infrastructure update, and customization resources) are critical complexity aspects to be considered during cloud computing adoption. These findings provide important implications for both researchers and managers that are trying to understand the complexities involved in cloud computing adoption.
dc.language	English
dc.publisher	Springer
dc.relation.ispartof	Information Systems Frontiers: a journal of research and innovation
dc.relation.isbasedon	10.1007/s10796-021-10108-w
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in [Information Systems Frontiers: a journal of research and innovation, 2022]. Publication date 01 Jan 2022 The final authenticated version is available online at: [ https://link.springer.com/article/10.1007/s10796-021-10108-w]”
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0806 Information Systems
dc.subject.classification	Information Systems
dc.title	Assessment of Complexity in Cloud Computing Adoption: a Case Study of Local Governments in Australia
dc.type	Journal Article
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	recently_added	*
pubs.consider-herdc	false
dc.date.updated	2022-05-25T06:29:54Z
pubs.publication-status	Published

Abstract:

This research paper assesses complexity in cloud computing adoption, using the context of the local government sector in Australia. The research utilized both cloud computing adoption literature and an Information Systems Complexity Framework to propose a complexity assessment model for cloud computing adoption. A mixed method approach was used in this research. Firstly, we conducted 21 indepth interviews with IT managers in the local governments in Australia to obtain their insights into the complexity of cloud computing adoption. Secondly, a quantitative method is used in which 480 IT staff from 47 local governments responded to an online survey to validate the proposed assessment model. The findings indicate that structural complexity of an organization (i.e., knowledge management), structural complexity of technology (i.e., technology interoperability, and data processing capability), dynamic complexity of an organization (i.e., business operations), and dynamic complexity of technology (i.e., systems integration, IT infrastructure update, and customization resources) are critical complexity aspects to be considered during cloud computing adoption. These findings provide important implications for both researchers and managers that are trying to understand the complexities involved in cloud computing adoption.

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http://hdl.handle.net/10453/157687