TY - GEN
T1 - Understanding the determinants of cloud computing adoption for high performance computing
AU - Lynn, Theo
AU - Liang, Xiaoning
AU - Gourinovitch, Anna
AU - Morrison, John P.
AU - Fox, Grace
AU - Rosati, Pierangelo
N1 - Publisher Copyright:
© 2018 IEEE Computer Society. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Within the complex context of high performance computing (HPC), the factors influencing technology adoption decisions remain largely unexplored. This study extends Diffusion of Innovation (DOI) and Human-Organization-Technology fit (HOT-fit) theories into an integrated model, to explore the impact of ten factors on cloud computing adoption decisions in the HPC context. The results suggest that adopters and non-adopters have different perceptions of the indirect benefits, adequacy of resources, top management support, and compatibility of adopting cloud computing for HPC. In addition, perceptions of the indirect benefits and HPC competences can be used to predict the cloud computing adoption decision for HPC. This is one of the first studies in the information systems (IS) literature exploring the factors impacting the cloud computing adoption decision in the important context of HPC. It integrates two influential technology adoption theories and enhances understanding of the key factors influencing organizations’ cloud computing adoption decisions in this context.
AB - Within the complex context of high performance computing (HPC), the factors influencing technology adoption decisions remain largely unexplored. This study extends Diffusion of Innovation (DOI) and Human-Organization-Technology fit (HOT-fit) theories into an integrated model, to explore the impact of ten factors on cloud computing adoption decisions in the HPC context. The results suggest that adopters and non-adopters have different perceptions of the indirect benefits, adequacy of resources, top management support, and compatibility of adopting cloud computing for HPC. In addition, perceptions of the indirect benefits and HPC competences can be used to predict the cloud computing adoption decision for HPC. This is one of the first studies in the information systems (IS) literature exploring the factors impacting the cloud computing adoption decision in the important context of HPC. It integrates two influential technology adoption theories and enhances understanding of the key factors influencing organizations’ cloud computing adoption decisions in this context.
UR - https://www.scopus.com/pages/publications/85064907812
M3 - Conference Publication
AN - SCOPUS:85064907812
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 3894
EP - 3903
BT - Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018
A2 - Bui, Tung X.
PB - IEEE Computer Society
T2 - 51st Annual Hawaii International Conference on System Sciences, HICSS 2018
Y2 - 2 January 2018 through 6 January 2018
ER -