I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions

Presti, Alessandro Lo; Rosa, Assunta De; Viceconte, Enrico

doi:10.1108/jwl-11-2020-0179

Cited by 14 publications

(11 citation statements)

References 39 publications

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“…On the one hand, Norzaidi and Salwani’s (2009) empirical evidence does not support TTF’s predictive power towards Internet usage. On the other hand, Presti et al. ’s (2021) findings confirm the indirect association between TTF and behavioral and future mobile learning intentions.…”

Section: Literature Review and Conceptual Frameworksupporting

confidence: 68%

Attitudes and intentions towards the adoption of mobile learning during COVID-19: building an exciting career through vocational education

Abdelwahed

Soomro

2022

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PurposeMobile learning has emerged as one of the main methods for training and academic activities in the present era. It is, also, highly relevant in the wake of the COVID-19 pandemic whereupon digitization of mobile learning has made it possible for many students to continue with their education. This study investigated attitudes and intentions towards the adoption of mobile learning in vocational education.Design/methodology/approachThis is a quantitative study based on cross-sectional empirical data. In targeting vocational students throughout Pakistan, the study used a survey questionnaire with a convenience sampling method. From the responses to the questionnaire, 320 samples were used to obtain the study outcomes.FindingsThe structural equation modeling’s (SEM) findings reveal that learning autonomy (LA), mobile device self-efficacy (MDSE), task-technology fit (TTF), perceived ease of use (PEOU), perceived usefulness (PUS) and perceived enjoyment (PE) have a positive and significant effect on mobile usage attitudes (MUA) and intentions to adopt mobile learning (ITAML). Moreover, this study’s findings confirm, also, MUA’s predictive power on ITAML.Practical implicationsFurther, this study’s findings encourage individuals to use mobile devices to properly promote knowledge in society. In addition, this study’s findings support vocational institutions’ operators’ and policymakers’ development of online education and training strategies to resist the complications arising from the transmission of COVID-19. Moreover, this study’s findings open new doors when conducting similar research studies on students’ perceptions and learning behaviors.Originality/valueThe empirical investigation of attitudes and intentions to adopt mobile learning in the context of COVID-19 helps potential adopters to test the likely behaviors.

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Section: Literature Review and Conceptual Frameworksupporting

confidence: 68%

Attitudes and intentions towards the adoption of mobile learning during COVID-19: building an exciting career through vocational education

Abdelwahed

Soomro

2022

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“…It is helpful because, if workers have low perceptions of support, employers can work on communication plans focused on technological innovations, their benefits, and emphasize the willingness to support employees when introducing new tools. Finally, few studies investigated the TAM in an Italian working context (see [90]). To the best of our knowledge, no studies have investigated the intention to use apps for the promotion of well-being in such contexts.…”

Section: Discussionmentioning

confidence: 99%

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?

Paganin

Simbula

2021

IJERPH

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Organizations are interested in finding new and more effective ways to promote the well-being of their workers, to help their workers manage work-related stress. New technologies (e.g., smartphones) are cheaper, allow more workers to be reached, and guarantee their anonymity. However, not all employees agree on the use of new technological interventions for the promotion of well-being. Consequently, organizations need to investigate technological acceptance before introducing these tools. By considering the technology acceptance model (TAM) framework, we investigate both the influence of workers’ perceived usefulness and ease of use on their intentions to use apps that help them managing work stress. Moreover, we contribute to the extension of this model by considering both personal (i.e., self-efficacy, personal innovativeness) and organizational (i.e., organizational support for innovation) variables. Our research involved 251 participants who completed an online self-report questionnaire. The results confirm the central hypothesis of the TAM and the influence of other variables that could influence acceptance of new technologies, such as apps that help manage work stress, and the intentions to use them. These results could help organizations ensure technological acceptance and usage by their workers, increasing the effectiveness of new technologies and interventions to promote well-being.

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“…Chang (2013) investigated the acceptance and utilization characteristics of library application acceptability and found that TTF played a major moderating influence. A study was done (Lo Presti et al, 2021) to evaluate the relationship between training opportunities and future learning goals. The study was based on the technology acceptance model, although TTF was used as a moderator variable.…”

Section: Task Technology Fit (Ttf)mentioning

confidence: 99%

Determinants of adoption and usage of the online examination portal (OEP) in Indian universities

Shirolkar

Kadam

2023

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PurposeThe purpose of this study is to examine the factors influencing the adoption and utilization of the online examination portal (OEP) in Indian universities. This study combines the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task Technology Fit (TTF) to explain the user's intention to use an OEP at an Indian University.Design/methodology/approachThis study's methodology combines UTAUT as a theoretical framework with TTF. It is conceptualized that TTF has a moderating effect on UTAUT's primary construct. The authors collected the data from 182 graduate students from an Indian university. PLS-SEM is used to identify the causal relationship between the constructs using the structural equation modeling (SEM) technique.FindingsThe findings will demonstrate the applicability of the constructs of performance expectancy, effort expectancy and facilitating conditions in influencing the usage intention and behavior of students towards OEP. The outcome will also demonstrate the moderating effect of TTF on the predictors of intention to use OEP at an Indian University.Research limitations/implicationsThe sample respondents who participated in the study are students at the Indian University in Pune. The selection of samples was based on convenience sampling. Future research should be conducted at a variety of geographic locations, educational levels, undergraduate and graduate schools, as well as multiple universities. To increase the objectivity of sample selection, the probabilistic sampling method can be used to select samples. For future studies, larger sample sizes (more than 182) can be collected in order to increase the generalizability and applicability of the findings to other developing markets.Practical implicationsThe study will aid Indian universities in enhancing the effectiveness of OEP. The study will also demonstrate the users' perception of the portal and their willingness to use it. It will also assist the university administration in finalizing the examination portal's implementation strategy.Originality/valueVery few studies have been published on the factors influencing the acceptance and utilization of specific online examination systems. To address this underrepresentation, the current article investigates the factors and criteria that influence students' intent to use the OEP. The authors conceptualize the model using UTAUT as a theoretical foundation, which is absent from the published literature on the OEP. The study incorporated UTAUT and TTF to determine the impact on OEP usage and intent. In addition, the study contributes by testing the moderating effect of TTF on the UTAUT variables that influence the intention to use OEP.

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I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions

Cited by 14 publications

References 39 publications

Attitudes and intentions towards the adoption of mobile learning during COVID-19: building an exciting career through vocational education

Attitudes and intentions towards the adoption of mobile learning during COVID-19: building an exciting career through vocational education

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?

Determinants of adoption and usage of the online examination portal (OEP) in Indian universities

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