IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v24y2022i2d10.1007_s10796-021-10108-w.html
   My bibliography  Save this article

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

Author

Listed:
  • Omar Ali

    (American University of the Middle East)

  • Anup Shrestha

    (University of Southern Queensland)

  • Maryam Ghasemaghaei

    (McMaster University)

  • Ghassan Beydoun

    (University of Technology Sydney)

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.

Suggested Citation

  • Omar Ali & Anup Shrestha & Maryam Ghasemaghaei & Ghassan Beydoun, 2022. "Assessment of Complexity in Cloud Computing Adoption: a Case Study of Local Governments in Australia," Information Systems Frontiers, Springer, vol. 24(2), pages 595-617, April.
  • Handle: RePEc:spr:infosf:v:24:y:2022:i:2:d:10.1007_s10796-021-10108-w
    DOI: 10.1007/s10796-021-10108-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-021-10108-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-021-10108-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lee, Sang-Gun & Chae, Seung Hoon & Cho, Kyung Min, 2013. "Drivers and inhibitors of SaaS adoption in Korea," International Journal of Information Management, Elsevier, vol. 33(3), pages 429-440.
    2. Benlian, Alexander & Hess, Thomas, 2011. "Opportunities and risks of Software-as-a-Service: Findings from a survey of IT executives," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58025, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Premkumar, G. & Roberts, Margaret, 1999. "Adoption of new information technologies in rural small businesses," Omega, Elsevier, vol. 27(4), pages 467-484, August.
    4. Tom Broekel, 2019. "Using structural diversity to measure the complexity of technologies," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-23, May.
    5. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    6. Michael T. Pich & Christoph H. Loch & Arnoud De Meyer, 2002. "On Uncertainty, Ambiguity, and Complexity in Project Management," Management Science, INFORMS, vol. 48(8), pages 1008-1023, August.
    7. Safiya Okai & Mueen Uddin & Amad Arshad & Raed Alsaqour & Asadullah Shah, 2014. "Cloud Computing Adoption Model for Universities to Increase ICT Proficiency," SAGE Open, , vol. 4(3), pages 21582440145, August.
    8. Gupta, Prashant & Seetharaman, A. & Raj, John Rudolph, 2013. "The usage and adoption of cloud computing by small and medium businesses," International Journal of Information Management, Elsevier, vol. 33(5), pages 861-874.
    9. Martin Prause, 2019. "Challenges of Industry 4.0 Technology Adoption for SMEs: The Case of Japan," Sustainability, MDPI, vol. 11(20), pages 1-13, October.
    10. Sultan, Nabil, 2010. "Cloud computing for education: A new dawn?," International Journal of Information Management, Elsevier, vol. 30(2), pages 109-116.
    11. Sultan, Nabil, 2013. "Knowledge management in the age of cloud computing and Web 2.0: Experiencing the power of disruptive innovations," International Journal of Information Management, Elsevier, vol. 33(1), pages 160-165.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John Oredo & Denis Dennehy, 2023. "Exploring the Role of Organizational Mindfulness on Cloud Computing and Firm Performance: The Case of Kenyan Organizations," Information Systems Frontiers, Springer, vol. 25(5), pages 2029-2050, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Manish Mohan Baral & Amitabh Verma, 2021. "Cloud Computing Adoption for Healthcare: An Empirical Study Using SEM Approach," FIIB Business Review, , vol. 10(3), pages 255-275, September.
    2. Shahbaz, Muhammad & Zahid, Rimsha, 2022. "Probing the factors influencing cloud computing adoption in healthcare organizations: A three-way interaction model," Technology in Society, Elsevier, vol. 71(C).
    3. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    4. Srivastava, Deepak Kumar & Kumar, Vikas & Ekren, Banu Yetkin & Upadhyay, Arvind & Tyagi, Mrinal & Kumari, Archana, 2022. "Adopting Industry 4.0 by leveraging organisational factors," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    5. Chi-Yo Huang & Hui-Ya Wang & Chia-Lee Yang & Steven J. H. Shiau, 2020. "A Derivation of Factors Influencing the Diffusion and Adoption of an Open Source Learning Platform," Sustainability, MDPI, vol. 12(18), pages 1-27, September.
    6. Sabi, Humphrey M. & Uzoka, Faith-Michael E. & Langmia, Kehbuma & Njeh, Felix N., 2016. "Conceptualizing a model for adoption of cloud computing in education," International Journal of Information Management, Elsevier, vol. 36(2), pages 183-191.
    7. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    8. Hsu, Pei-Fang & Ray, Soumya & Li-Hsieh, Yu-Yu, 2014. "Examining cloud computing adoption intention, pricing mechanism, and deployment model," International Journal of Information Management, Elsevier, vol. 34(4), pages 474-488.
    9. Md Golam Rabiul Alam & Abdul Kadar Muhammad Masum & Loo-See Beh & Choong Seon Hong, 2016. "Critical Factors Influencing Decision to Adopt Human Resource Information System (HRIS) in Hospitals," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-22, August.
    10. Indranil R. Bardhan & Vish V. Krishnan & Shu Lin, 2007. "Project Performance and the Enabling Role of Information Technology: An Exploratory Study on the Role of Alignment," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 579-595, May.
    11. Hsieh, Pi-Jung, 2021. "Understanding medical consumers’ intentions to switch from cash payment to medical mobile payment: A perspective of technology migration," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Wang, Feng-Kwei & He, Wu, 2014. "Service strategies of small cloud service providers: A case study of a small cloud service provider and its clients in Taiwan," International Journal of Information Management, Elsevier, vol. 34(3), pages 406-415.
    13. Hosseini, Sahab & Fallon, Grahame & Weerakkody, Vishanth & Sivarajah, Uthayasankar, 2019. "Cloud computing utilization and mitigation of informational and marketing barriers of the SMEs from the emerging markets: Evidence from Iran and Turkey," International Journal of Information Management, Elsevier, vol. 46(C), pages 54-69.
    14. Yolande E. Chan & James S. Denford & Joyce Y. Jin, 2016. "Competing Through Knowledge and Information Systems Strategies: A Study of Small and Medium-Sized Firms," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-37, September.
    15. Senyo, Prince Kwame & Addae, Erasmus & Boateng, Richard, 2018. "Cloud computing research: A review of research themes, frameworks, methods and future research directions," International Journal of Information Management, Elsevier, vol. 38(1), pages 128-139.
    16. Chin-Lung Hsu & Judy Chuan-Chuan Lin, 2016. "Factors affecting the adoption of cloud services in enterprises," Information Systems and e-Business Management, Springer, vol. 14(4), pages 791-822, November.
    17. Lee, Sang-Gun & Chae, Seung Hoon & Cho, Kyung Min, 2013. "Drivers and inhibitors of SaaS adoption in Korea," International Journal of Information Management, Elsevier, vol. 33(3), pages 429-440.
    18. Jinwan Cho & Eunmi Kim & Insik Jeong, 2023. "Adoption of the 4th Industrial Revolution: evidence from Korean exporters in international markets," Asian Business & Management, Palgrave Macmillan, vol. 22(1), pages 164-187, February.
    19. Sharma, Mahak & Singh, Anupama & Daim, Tugrul, 2023. "Exploring cloud computing adoption: COVID era in academic institutions," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    20. Sreenivasan Jayashree & Mohammad Nurul Hassan Reza & Chinnasamy Agamudai Nambi Malarvizhi & Hesti Maheswari & Zohre Hosseini & Azilah Kasim, 2021. "The Impact of Technological Innovation on Industry 4.0 Implementation and Sustainability: An Empirical Study on Malaysian Small and Medium Sized Enterprises," Sustainability, MDPI, vol. 13(18), pages 1-23, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:24:y:2022:i:2:d:10.1007_s10796-021-10108-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.