ISSN Print: 2472-9450  ISSN Online: 2472-9469
International Journal of Psychology and Cognitive Science  
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Perceptions of Cloud-Based Applications Adoption by University’s Students
International Journal of Psychology and Cognitive Science
Vol.4 , No. 4, Publication Date: Nov. 6, 2018, Page: 144-154
948 Views Since November 6, 2018, 443 Downloads Since Nov. 6, 2018
 
 
Authors
 
[1]    

Abdulrahman Ali Mohsen Al-Harethi, Department of Project Management, Limkokwing University of Creative Technology, Cyberjaya, Selangor, Malaysia.

[2]    

Salem Abdullah Salem Garfan, Department of Software Management, Limkokwing University of Creative Technology, Cyberjaya, Selangor, Malaysia.

 
Abstract
 

Adoption of cloud-based applications is of high importance as a new trend in the field of information technology and the identification of key factors influencing this adoption process. Currently, dedicated studies on the phase of the adoption process in educational domains based on the cloud-based applications were not paid much attention, and works in this domain are very limited. Moreover, despite several frameworks offered in the technological aspects and security issues, no suitable framework is offered. Therefore, this research aims to examine and evaluate the perception and acceptance of adopting cloud computing technology among universities’ students (Limkokwing University of Creative Technology as a case study). Technology Acceptance Model (TAM) was used as a model for this research. Self-efficacy, Motivation, Exposure, Perceived Trust, and Cost of Usage were used as external factors for this model. Random sampling and quantitative method were used to examine the hypotheses of the study. Statistical tests of sample data such as correlations, regression and ANOVA analysis were performed to evaluate and model the relationship of the impacts, respectively. The results also revealed useful information to address this issue and eventually a model fit for the adoption of cloud-based applications in higher education was offered.


Keywords
 

Cloud-Based Applications, Perception, Adoption, Technology Acceptance Model (TAM), Limkokwing University, Malaysia


Reference
 
[01]    

Janakiram, M. S. V., Cloud Computing Strategist; (2010), Demystifying the Cloud An introduction to Cloud Computing, Version

[02]    

Alam, M. (2013). Cloud Computing in Education. IEEE Potentials, 32 (4), pp. 20-21.

[03]    

Kaur, R. and Singh, S. (2015). Exploring the Benefits of Cloud Computing Paradigm in Education Sector. International Journal of Computer Applications, 115 (7), pp. 1-3.

[04]    

Okai, S., Uddin, M., Arshad, A., Alsaqour, R. and Shah, A. (2014). Cloud Computing Adoption Model for Universities to Increase ICT Proficiency. SAGE Open, 4 (3), p. 21.

[05]    

Pardeshi, V. (2014). Architecture and Adoption Model for Cloud in Higher Education: Indian Perspective. Bonfring International Journal of Industrial Engineering and Management Science, 4 (2), pp. 43-47.

[06]    

SEKE, M. (2015). Higher Education and the Adoption of Cloud Computing Technology in Africa. International Journal on Communications, 4 (0), p. 1.

[07]    

Park, S. C., & Ryoo, S. Y. (2012). An empirical investigation of end-users‟ switching toward cloud computing: A two-factor theory perspective. Computers in Human Behaviour. 29 (1), 160-170. 10.1016/j.chb.2012.07.032.

[08]    

Taylor, C. W. and Hunsinger, D. S., 2011. A study of student use of cloud computing applications. Journal of Information Technology Management, 22 (3), pp. 36-50.

[09]    

Brown, J. D., 2011. Likert items and scales of measurement. Shiken: JALT Testing & Evaluation SIG Newsletter, 15 (1), pp. 10-14.

[10]    

Davis, F. D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, pp. 319-340.

[11]    

Agarwal, R. and Prasad, J., 1998. A conceptual and operational definition of personal innovativeness in the domain of information technology. Information systems research, 9 (2), pp. 204-215.

[12]    

Bachleda, C. and Ouaaziz, S. (2017). Consumer Acceptance of Cloud Computing. Services Marketing Quarterly, 38 (1), pp. 31-45.

[13]    

Park, S. Y., 2009. An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning. Educational technology & society, 12 (3), pp. 150-162.

[14]    

Alotaibi, M. B., 2014. Exploring users’ attitudes and intentions toward the adoption of cloud computing in Saudi Arabia: an empirical investigation. Journal of Computer Science, 10 (11), pp. 2315-2329.

[15]    

McKnight, D. H., Choudhury, V. and Kacmar, C., 2002. Developing and validating trust measures for e-commerce: An integrative typology. Information systems research, 13 (3), pp. 334-359.

[16]    

Wu, W. W., 2011. Mining significant factors affecting the adoption of SaaS using the rough set approach. Journal of Systems and Software, 84 (3), pp. 435-441.

[17]    

Chung, S., 2012. Cognitive and social factors affecting the use of Wikipedia and information seeking. Canadian Journal of Learning and Technology, 38 (3), p. 1.

[18]    

Changchit, C., 2014. Students’ perceptions of cloud computing. Issues in Information Systems, 15 (1), pp. 312-322.

[19]    

Irshad, M. B. and Johar, M. G. M., 2015. A STUDY OF UNDERGRADUATE USE OF CLOUD COMPUTING APPLICATIONS: SPECIAL REFERENCE TO GOOGLE DOCS. European Journal of Computer Science and Information Technology, 3 (4), pp. 22-32.

[20]    

Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D., 2003. User acceptance of information technology: Toward a unified view. MIS quarterly, pp. 425-478.

[21]    

Fan, C. (2014). Applied the Technology Acceptance Model to Survey the mobile-learning adoption behavior in the Science Museum. International Journal of Innovation and Scientific Research, vol. 12 (no. 1), pp. 22–29.

[22]    

Opitz, N., Langkau, T. F., Schmidt, N. H. and Kolbe, L. M., 2012, January. Technology acceptance of cloud computing: empirical evidence from German IT departments. In System Science (HICSS), 2012 45th Hawaii International Conference on (pp. 1593-1602). IEEE.

[23]    

Abbasi, M. S., Tarhini, A., Hassouna, M. and Shah, F., 2015. SOCIAL, ORGANIZATIONAL, DEMOGRAPHY AND INDIVIDUALS'TECHNOLOGY ACCEPTANCE BEHAVIOUR: A CONCEPTUAL MODEL. European Scientific Journal, 11 (9).





 
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