Extending the Technology Acceptance Model and Critical Success Factors Model to Predict the Use of Cloud Computing
This study aims to extend the Technology Acceptance Model (TAM) in the context of using Cloud Computing. The hypothesized model is validated empirically using a sample collected from 307 valid responses. It synthesizes the Information System Success model and the TAM, to explain and predict the users' attitudes toward using Cloud Computing. It offers Cloud Computing Acceptance Model (CCAM) to be used for predicting the future implementation and actual usage of innovative business solutions. To examine the reliability and validity of the measurement model, the confirmatory factor analysis was performed whereas multiple regression analysis was conducted to evaluate the associations between the constructs in the proposed model. It concludes with the essentiality of establishing stronger organisational culture and building trust between users and new technology. Moreover, more attention to system and service quality is needed to assist users perceptions toward Cloud Computing usefulness and its ease of use which are crucial to for its success.
Year of publication: |
2016
|
---|---|
Authors: | Ababneh, Hayel |
Published in: |
Journal of Information Technology Research (JITR). - IGI Global, ISSN 1938-7865, ZDB-ID 2403406-X. - Vol. 9.2016, 3 (01.07.), p. 1-17
|
Publisher: |
IGI Global |
Subject: | Cloud Computing | Critical Success Factors Model | Information Systems | Jordan | Technology Acceptance Model |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Chen, Jengchung Victor, (2024)
-
Alsharo, Mohammad, (2021)
-
Still technology acceptance model? : reborn with exostructure as a service model
JosephNG Poh Soon, (2023)
- More ...
Similar items by person