Mobile-Assisted Language Learning for EFL: A Conceptual Framework based on the Meta-UTAUT Model

Razzak, Mohammad Rezaur; Jassem, Suaad

doi:10.21742/ajemr.2021.6.2.02

Cited by 5 publications

(3 citation statements)

References 35 publications

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“…In this context, performance expectation refers to the user's belief in the ability of ADAS technology to improve vehicle performance and driving safety. This study confirms the results of study by Siswanto et al [49], Shara and Widodo [50], and Razzak and Jassem [51]. The higher the performance expectations of users in this study, the more positive the attitude of drivers toward driver assistance systems.…”

Section: Inner Model Evaluationsupporting

confidence: 92%

“…The third discussion in this study shows that the user's effort expectancy for the ease of use of ADAS technology affects the positive attitude of automotive users towards ADAS. This study confirms the results study by Siswanto et al [49], Shara and Widodo [50], and Razzak and Jassem [51]. In this context, effort expectancy refers to the user's belief about the ease of use of ADAS technology and the user's readiness to deal with changes in driving behavior.…”

Section: Inner Model Evaluationsupporting

confidence: 90%

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Traffic Accident Prevention Through Acceptance of Advanced Driver Assistance System (ADAS) among Urban People

Purwanto,

Suleman,

Sjarief

et al. 2023

JESA

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Lead Indonesia's accident cases are caused mainly by human error, which can be reduced by implementing an Advanced Driver Assistance System (ADAS) technology. Protection motivation and acceptance of technology are generally a concern for drivers adopting ADAS. Therefore, this research aims to build a model of the Combined Protection Motivation Theory and Unified Theory of Acceptance and Use of Technology (C-PMT-UTAUT) to determine the factors that encourage drivers and owner-drivers' interest in using the ADAS. This research method applies quantitative research to a population of automotive users in Jakarta and Tangerang. A survey was conducted with a sample of 220 automotive users in Jakarta and Tangerang. Determination of the sample using the convenience sampling method and the samples collected and used were 220 samples. The data is then processed using Smart-PLS. The research results prove that perceived vulnerability affects the positive attitude of automotive users to use ADAS, likewise, with the performance expectancy and effort expectancy variables. Furthermore, the study's results also prove that attitude significantly affects the intention of automotive users to add ADAS features to their vehicles. The research results prove that the perceived vulnerability is proven to positively and significantly affect attitudes to ADAS. Likewise, the effect of performance expectancy on attitude toward ADAS is proven to be positive and significant. The effort expectancy also positively and significantly affects the attitude toward ADAS. One factor that has yet to be proven to be a concerned driver is severity because the perceived severity has not been proven to influence attitudes toward ADAS significantly. Then, the attitude positively and significantly affects the intention to use ADAS. The findings of this study have important practical implications for policymakers, car manufacturers, and technology developers working on ADAS. Policymakers can promote awareness, education and implement incentives. Car manufacturers can enhance perceived vulnerability, improve performance expectancy, and simplify the user experience. Technology developers can emphasize usability and address concerns about severity.

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Section: Inner Model Evaluationsupporting

confidence: 92%

Section: Inner Model Evaluationsupporting

confidence: 90%

Traffic Accident Prevention Through Acceptance of Advanced Driver Assistance System (ADAS) among Urban People

Purwanto,

Suleman,

Sjarief

et al. 2023

JESA

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“…Earlier, Raza et al (2017) stated that BI is a person's perceived desire or subjective behaviour to embrace or participate in a specific action; while Verma and Sinha (2017) posited that BI effectively stands as a precursor to action. Through their seminal study, Razzak and Jassem (2021) proposed that "motivating" variables do impact BI, whereby the more determined a person is to carry out a particular action, the more probable would be his/her success rate. Within the ambits of digital learning, Anthony et al (2021) stated that the amount to which, instructors feel using digital learning would enhance their performance trainings is reflected in their BI.…”

Section: From Intentions To Actionmentioning

confidence: 99%

From intentions to action: how behavioural intentions shape employee performance through digital learning?

Gajendragadkar,

Arora,

Trivedi

et al. 2024

JWL

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Purpose This study aims to explore the impact of “Performance Expectancy” (PE) on the performance of Indian automotive manufacturing employees through their “Behavioural Intention” (BI) in the context of digital learning within the volatile, uncertain, complex and ambiguous (VUCA) world. Design/methodology/approach A descriptive research design was adopted to gather data from 211 employees of Indian automotive manufacturing companies. Structural equation modelling was applied for data analysis and obtaining results. Findings Largely, the findings indicate that BI does mediate the relationship between PE and employee performance (EP) in the context of the Indian automotive manufacturing sector. The findings would help in boosting digital learning initiatives, improving EP and fostering organizational success in the VUCA world. Research limitations/implications The current study focused on the Indian manufacturing industry. Extending the research beyond the manufacturing sector to other industries in India could possibly help in generalizing the findings, and thereby enhance knowledge of the broader consequences of digital learning on EP. Practical implications Digital learning platforms can enhance sustainable industrialization in the manufacturing sector by providing employees with access to digital learning opportunities. Managers must provide employees with access to digital learning opportunities for making them more creative and innovative, so that they can become real change agents, and can handle real-world problems more efficiently, leading the organization to deal with the complexities and unpredictability in this VUCA world. Originality/value Within the ambits of Indian automotive manufacturing organizations, there have been limited research studies that have used two constructs of the UTAUT2 framework to see their impact on EP in terms of digital learning. Thus, based on the limited information available, this research stands as a pioneering effort in the realm of digital learning within the Indian automotive manufacturing industry, where the relationship between PE and EP is examined through the mediational role of BI of employees. Moreover, this research possibly would pave the way for further research studies on exploring the role of potential factors influencing the strength and direction of the relationships between these variables (PE and EP).

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Factors influencing customers’ adoption of mobile payment in Pakistan: application of the extended meta-UTAUT model

Hassaan,

Yaseen

2024

JSTPM

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Purpose Mobile payment (or m-payment), a relatively new digital banking system targeting Pakistani customers, is rapidly expanding. This study aims to explore the elements that impact customer behaviour and encourage the adoption of m-payment in Pakistan. Design/methodology/approach This study used a quantitative research design, surveying 315 m-payment users residing in three Pakistani cities. A conceptual framework was developed by extending the meta-unified theory of acceptance and use technology (meta-UTAUT) model to incorporate institutional privacy concerns (IPC) and institutional source reliability (ISR). Data analysis was conducted using partial least squares structural equation modelling via Smart PLS 4.0 software. Findings This study’s results indicate that behavioural intention (BI) is the primary driver ofm-payment use behaviour. The findings also reveal that attitude (AT), performance expectancy (PE), facilitating conditions (FC), social influence (SI), effort expectancy (EE), IPC and ISR significantly influence BI. Notably, PE and FC are positively associated with AT, while EE and SI have no significant impact on AT. Research limitations/implications This study has two key limitations. First, its focus on only Pakistani m-payment users limits the broader applicability of the results. Second, the cross-sectional design overlooks potential longitudinal changes in users’ attitude. Future research should aim to recruit diverse country samples and conduct comparative studies, thereby enhancing the understanding of m-payment adoption. Practical implications This study provides insights for service providers and marketers, identifying key factors that influence m-payment adoption. Convenience emerges as a critical consideration, suggesting it may drive customer behaviour. Originality/value This research significantly advances the field of m-payment studies by investigating the key factors influencing Pakistani consumers’ adoption of m-payment, extending the meta-UTAUT model to include IPC and ISR. By applying this extended framework to the context of Pakistani consumers’ acceptance and use of m-payment, this study provides new insights into the complex factors driving m-payment adoption in developing Asian countries like Pakistan, addressing a significant research gap and paving the way for future studies.

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Mobile-Assisted Language Learning for EFL: A Conceptual Framework based on the Meta-UTAUT Model

Cited by 5 publications

References 35 publications

Traffic Accident Prevention Through Acceptance of Advanced Driver Assistance System (ADAS) among Urban People

Traffic Accident Prevention Through Acceptance of Advanced Driver Assistance System (ADAS) among Urban People

From intentions to action: how behavioural intentions shape employee performance through digital learning?

Factors influencing customers’ adoption of mobile payment in Pakistan: application of the extended meta-UTAUT model

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