IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v12y2020i8p135-d397682.html
   My bibliography  Save this article

Understanding the Determinants and Future Challenges of Cloud Computing Adoption for High Performance Computing

Author

Listed:
  • Theo Lynn

    (Irish Institute of Digital Business, Dublin City University, Collins Avenue, D09 Dublin, Ireland
    All the authors contributed equally to this work.
    This paper is an extension of a paper originally presented at the 51st Hawaii International Conference on System Sciences (HICSS-51). A second supplemental study has been added.)

  • Grace Fox

    (Irish Institute of Digital Business, Dublin City University, Collins Avenue, D09 Dublin, Ireland
    All the authors contributed equally to this work.
    This paper is an extension of a paper originally presented at the 51st Hawaii International Conference on System Sciences (HICSS-51). A second supplemental study has been added.)

  • Anna Gourinovitch

    (Irish Institute of Digital Business, Dublin City University, Collins Avenue, D09 Dublin, Ireland
    All the authors contributed equally to this work.
    This paper is an extension of a paper originally presented at the 51st Hawaii International Conference on System Sciences (HICSS-51). A second supplemental study has been added.)

  • Pierangelo Rosati

    (Irish Institute of Digital Business, Dublin City University, Collins Avenue, D09 Dublin, Ireland
    All the authors contributed equally to this work.
    This paper is an extension of a paper originally presented at the 51st Hawaii International Conference on System Sciences (HICSS-51). A second supplemental study has been added.)

Abstract

High performance computing (HPC) is widely recognized as a key enabling technology for advancing scientific progress, industrial competitiveness, national and regional security, and the quality of human life. Notwithstanding this contribution, the large upfront investment and technical expertise required has limited the adoption of HPC to large organizations, government bodies, and third level institutions. Recent advances in cloud computing and telecommunications have the potential to overcome the historical issues associated with HPC through increased flexibility and efficiency, and reduced capital and operational expenditure. This study seeks to advance the literature on technology adoption and assimilation in the under-examined HPC context through a mixed methods approach. Firstly, the determinants of cloud computing adoption for HPC are examined through a survey of 121 HPC decision makers worldwide. Secondly, a modified Delphi method was conducted with 13 experts to identify and prioritize critical issues in the adoption of cloud computing for HPC. Results from the quantitative phase suggest that only organizational and human factors significantly influence cloud computing adoption decisions for HPC. While security was not identified as a significant influencer in adoption decisions, qualitative research findings suggest that data privacy and security issues are an immediate and long-term concern.

Suggested Citation

  • Theo Lynn & Grace Fox & Anna Gourinovitch & Pierangelo Rosati, 2020. "Understanding the Determinants and Future Challenges of Cloud Computing Adoption for High Performance Computing," Future Internet, MDPI, vol. 12(8), pages 1-17, August.
  • Handle: RePEc:gam:jftint:v:12:y:2020:i:8:p:135-:d:397682
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/12/8/135/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/12/8/135/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Premkumar, G. & Roberts, Margaret, 1999. "Adoption of new information technologies in rural small businesses," Omega, Elsevier, vol. 27(4), pages 467-484, August.
    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. Mohammed Afzal & Mohd. Shamim Ansari & Naseem Ahmad & Mohammad Shahid & Mohd. Shoeb, 2024. "Cyberfraud, usage intention, and cybersecurity awareness among e-banking users in India: an integrated model approach," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(4), pages 1503-1523, December.
    2. James A. Cunningham & Nadja Damij & Dolores Modic & Femi Olan, 2023. "MSME technology adoption, entrepreneurial mindset and value creation: a configurational approach," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1574-1598, October.
    3. Osama Abied & Othman Ibrahim & Siti Nuur-Ila Mat Kamal & Ibrahim M. Alfadli & Weam M. Binjumah & Norafida Ithnin & Maged Nasser, 2022. "Probing Determinants Affecting Intention to Adopt Cloud Technology in E-Government Systems," Sustainability, MDPI, vol. 14(23), pages 1-29, November.
    4. Aminu Adamu Ahmed, 2023. "Analysing the issues surrounding information and communication technology penetration and growth," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 716-732, March.
    5. Nane Kratzke, 2022. "Cloud-Native Applications and Services," Future Internet, MDPI, vol. 14(12), pages 1-2, November.

    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. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    2. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    3. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    4. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    5. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    6. Purani, Keyoor & Kumar, Deepak S. & Sahadev, Sunil, 2019. "e-Loyalty among millennials: Personal characteristics and social influences," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 215-223.
    7. Alam, Syed Shah & Nik Hashim, Nik Hazrul & Rashid, Mamunur & Omar, Nor Asiah & Ahsan, Nilufar & Ismail, Md Daud, 2014. "Small-scale households renewable energy usage intention: Theoretical development and empirical settings," Renewable Energy, Elsevier, vol. 68(C), pages 255-263.
    8. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
    9. Lian, Jiunn-Woei & Yen, David C. & Wang, Yen-Ting, 2014. "An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital," International Journal of Information Management, Elsevier, vol. 34(1), pages 28-36.
    10. Lin, Zhibin & Filieri, Raffaele, 2015. "Airline passengers’ continuance intention towards online check-in services: The role of personal innovativeness and subjective knowledge," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 158-168.
    11. Eung-Suk Park & ByungYong Hwang & Kyungwan Ko & Daecheol Kim, 2017. "Consumer Acceptance Analysis of the Home Energy Management System," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    12. Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    13. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    14. Saghafi, Fatemeh & Noorzad Moghaddam, Ehsan & Aslani, Alireza, 2017. "Examining effective factors in initial acceptance of high-tech localized technologies: Xamin, Iranian localized operating system," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 275-288.
    15. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.
    16. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    17. Truong, Yann, 2013. "A cross-country study of consumer innovativeness and technological service innovation," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 130-137.
    18. Martínez-Torres, M.R. & Díaz-Fernández, M.C. & Toral, S.L. & Barrero, F., 2015. "The moderating role of prior experience in technological acceptance models for ubiquitous computing services in urban environments," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 146-160.
    19. Escobar-Rodríguez, T. & Carvajal-Trujillo, E., 2014. "Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model," Tourism Management, Elsevier, vol. 43(C), pages 70-88.
    20. Thomas Wozniak & Dorothea Schaffner & Katarina Stanoevska-Slabeva & Vera Lenz-Kesekamp, 2018. "Psychological antecedents of mobile consumer behaviour and implications for customer journeys in tourism," Information Technology & Tourism, Springer, vol. 18(1), pages 85-112, April.

    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:gam:jftint:v:12:y:2020:i:8:p:135-:d:397682. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.