EconPapers    
Economics at your fingertips  
 

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

Omar Ali (), Anup Shrestha (), Maryam Ghasemaghaei () and Ghassan Beydoun ()
Additional contact information
Omar Ali: American University of the Middle East
Anup Shrestha: University of Southern Queensland
Maryam Ghasemaghaei: McMaster University
Ghassan Beydoun: University of Technology Sydney

Information Systems Frontiers, 2022, vol. 24, issue 2, No 15, 595-617

Abstract: 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.

Keywords: Cloud computing; Complexity; Technology adoption; Information Systems Complexity Framework; Local government (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s10796-021-10108-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:24:y:2022:i:2:d:10.1007_s10796-021-10108-w

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-021-10108-w

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2022-07-30
Handle: RePEc:spr:infosf:v:24:y:2022:i:2:d:10.1007_s10796-021-10108-w