Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries

Ahmed Al-Azawei and Ali Alowayr

Technology in Society, 2020, vol. 62, issue C

Abstract: Drawing on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model, this study aimed to determine the key variables that facilitate the acceptance of mobile learning in two Middle Eastern countries (Saudi Arabia and Iraq), as well as identifying the constructs that can help enhance learners' motivation. A conceptual framework was proposed based on a modified UTAUT2, wherein trust was integrated, and new relationships were assumed among the proposed Model variables. Data were gathered using an online questionnaire from 469 higher education students of Computer Science. The collected data were analyzed with partial least squares (PLS) structural equation modeling and multi-group analysis (MGA) techniques. The results suggest significant differences in learners' perceptions from both countries. It was found that although some variables were significant in one country, they were not in the other and vice versa. Overall, the proposed framework explained 56.1% and 40.7%, respectively of the variance of behavioral intention and hedonic motivation among the Saudi sample (N = 246), and 51.1% and 41.9%, respectively of the variance of behavioral intention and hedonic motivation in the Iraqi sample (N = 223). These research outcomes are significant for educational institutions as they could help policy-makers better understand the issues facing mobile learning acceptance in terms of cultural similarities and differences. Accordingly, new strategies could be formulated to ensure improved mobile learning uptake.

Keywords: Mobile learning; Middle East; UTAUT2; Behavioral intention; Hedonic motivation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160791X2030213X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:62:y:2020:i:c:s0160791x2030213x

DOI: 10.1016/j.techsoc.2020.101325

Access Statistics for this article

Technology in Society is currently edited by Charla Griffy-Brown

More articles in Technology in Society from Elsevier
Bibliographic data for series maintained by Catherine Liu ().