ERIC Number: EJ1247084
Record Type: Journal
Publication Date: 2020-Mar
Pages: 26
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: N/A
A Behavioral Intention Model for SaaS-Based Collaboration Services in Higher Education
Yadegaridehkordi, Elaheh; Nilashi, Mehrbakhsh; Shuib, Liyana; Samad, Sarminah
Education and Information Technologies, v25 n2 p791-816 Mar 2020
Despite numerous potential benefits of cloud computing usage, there are still some users reluctant to adopt this technology. This study aims to investigate the factors that influence student adoption of cloud computing in higher education settings and to generate a set of decision rules to guide through a series of critical decisions needed in this adoption process. Accordingly, a two-stage Structural Equation Modelling (SEM)-Classification and Regression Trees (CART) methodology is applied in order to test the overall research model and related hypotheses as well as to generate decision rules to predict behavioural intention towards adoption. Using survey questionnaire method, a total of 418 valid questionnaires are collected from students of top-ranked Malaysian universities. The results show that task-technology fit, performance expectancy, effort expectancy, social influence, self-efficacy, collaboration technology experience, peer and superior influence and familiarity with group members are significant predictors of intention to adopt cloud computing. The findings of this study can serve as a guideline for the ministry of education, university administrators, and cloud service providers to manage the successful adoption of cloud computing in the education sector.
Descriptors: College Students, Student Attitudes, Adoption (Ideas), Computer Uses in Education, Information Storage, Users (Information), Intention, Foreign Countries, Performance, Social Influences, Self Efficacy, Cooperative Learning, Peer Influence, Familiarity, Predictor Variables
Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Malaysia
Grant or Contract Numbers: N/A