Using the Unified Theory of Acceptance and Use of Technology (Utaut) Model to Determine Factors Affecting Mobile Learning Adoption in the Workplace: A Study of the Science Museum Group

Abstract

It has been observed that mobile learning (mLearning) in institutions like Museums in the United Kingdom (UK) has been underutilized. mLearning usage could potentially increase productivity by delivering just-in-time technical knowledge to the science museum group (SMG) staff. This study uses the unified theory of acceptance and use of technology (UTAUT) model to determine factors affecting mLearning adoption at the SMG. Two research questions were formulated based on an adaptation of the UTAUT model. 1) What are the determinants of behavior intentions to use mLearning at the SMG? 2) Does gender or age have a moderating effect on the factors that determine behavior intentions to use mLearning at the SMG? 118 respondents were surveyed from the SMG. Data obtained were analyzed using Structured Equation Modelling on IBM SPSS 20 and Amos version 25. Results indicate that the UTAUT constructs, performance expectancy, effort expectancy, social influence and facilitating conditions are all significant determinants of behavioral intention to use mLearning. A newly proposed construct, self-directed learning was not a significant determinant of behaviour intentions. Further examination found age and gender moderate the relationship between the UTAUT constructs. These findings present several useful implications for mLearning research and practice for ICT service desk at the SMG. The research contributes to mLearning technology adoption and strategy.

Exploring the Students’ Behavior Intentions to Adopt E-Learning Technology: A Survey Study Based on COVID-19 Crisis

“…All study model constructs have an average level and explain that these constructs affect students' acceptance of e-learning technology and positive behavioral intention toward this system. This result consistent with the conceptual framework of the UTAUT model and with the study result of Evans & Roux (2015), Welch et al (2020), andAbubakar andAhmad (2015).…”

“…To answer the study questions and understanding students` behavioral intentions for adopting e-learning technology, the unified theory of technology acceptance and use (UTAUT) presented by Venkatesh et al (2003) is the most comprehensive as it serves as a base-line model and has been applied to the study of a variety of technologies related to the acceptance and use of technology (Venkatish et al, 2012). The UTAUT model includes a combination of four constructs nominated from eight models of e-learning technology acceptance and behavioral intent to adopt it (TAM, TAM2, IDT, TPB, TRA, TM, SCT, and Combined TAM & TPB), these are Performance Expectancy (PE), Efforts Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) (Welch et al, 2020). Based on the theoretical background of the unified theory of acceptance and use of technology (UTAUT) and the previous discussion, the researchers made some modifications to the model regarding the moderating factors shown in figure 1.…”

Using technology acceptance model to discuss factors in university employees’ behavior intention to apply social media

“…According to the items for perceived ease of use proposed by Welch et al (2020), the subjects are requested to evaluate the perceived ease of use of digital technology.…”

UTAUT3 model viability among teachers due to technological dynamism during COVID-19

“…Evidence from numerous cohort research has shown that the behavioural intention to use online learning exists in accordance with user understanding. Specifically, Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Conditions (FC), Social Influence (SI) and Habit (HT) have significant relation with Behavioural Intention (BI) and Attitude Towards Use behaviour (ATU) (Bhimasta and Suprapto, 2016; Fagan, 2019; Welch et al , 2020; Yildiz et al , 2020). In the framework of online teaching and learning, both teachers and students may believe that online education system is helpful in enhancing their work performance and learning productivity (Al-Adwan et al , 2018), apart from allowing them to acquire knowledge conveniently and rapidly (Jackman, 2014).…”