scholarly journals A Proposed Framework to Understand the Intrinsic Motivation Factors on University Students’ Behavioral Intention to Use a Mobile Application for Learning

10.28945/3694 ◽  
2017 ◽  
Vol 16 ◽  
pp. 143-168 ◽  
Author(s):  
Ronnie H. Shroff ◽  
Christopher J Keyes
Keyword(s):  
Intrinsic Motivation ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Mobile Application ◽  
Perceived Competence ◽  
Intention To Use ◽  
Motivation Factors ◽  
Perceived Challenge ◽  
Behavioral Intention To Use ◽  
Perceived Choice

Aim/Purpose: By integrating a motivational perspective into the Technology Acceptance Model, the goal of this study is to empirically test the causal relationship of intrinsic motivational factors on students’ behavioral intention to use (BIU) a mobile application for learning. Background: Although the Technology Acceptance Model is a significant model, it largely remains incomplete as it does not take into consideration the motivation factors and/or outside influences in the adoption of new technology. Methodology: A Mobile Application Motivation Instrument (MAMI) was developed from a comprehensive review of literature on intrinsic motivation and verified using a formalized card sorting procedure. Four intrinsic motivation scales were developed: perceived competence (COM), perceived challenge (CHA), perceived choice (CHO), and perceived interest (INT). Consequently, a scale to assess students’ behavioral intention (BIU) to use mobile applications was developed using existing scales from prior TAM instruments. Contribution: Incorporating the motivational factors into TAM may provide better explanation and prediction of student acceptance and usage of mobile applications. A potential contribution of this study is the development of a reliable and valid instrument that could be further used by a growing community of researchers, instructional designers, and instructors. Findings: Data were collected from 193 participants to test the causal relationship of perceived competence (COM), perceived challenge (CHA), perceived choice (CHO), and perceived interest (INT) on students’ behavioral intention to use (BIU) a mobile application, using a structural equation modeling approach. The structural path model indicated that perceived competence (COM), perceived challenge (CHA), perceived choice (CHO), and perceived interest (INT) had a significant influence on students’ behavioral intention to use (BIU) a mobile application for learning. Implications of this study are important for researchers and educational practitioners. Future Research: One environmental dimension, understudied but with likely implications for intrinsic motivation, is the social environment.

Understanding users’ behavioral intention to use voice assistants on smartphones through the integrated model of user satisfaction and technology acceptance: a survey approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mine Bertan Yılmaz ◽  
Kerem Rızvanoğlu
Keyword(s):  
Regression Analysis ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
User Satisfaction ◽  
Integrated Model ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
System Quality ◽  
Content Type ◽  
Behavioral Intention To Use

Purpose This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use. Design/methodology/approach This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis. Findings While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI. Research limitations/implications The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis. Originality/value There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.

scholarly journals Analysis of E-Marketplace Use in East Java’s MSMEs Using the Technology Acceptance Model Approach

2021 ◽  
Author(s):  
Rurid Dwi Anggraeny ◽  
Imam Baihaqi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Technology Use ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The e-commerce industry has the potential to be one of the drivers of the domestic economy. One of the impacts of the advancement of e-commerce is the emergence of many online-based marketplaces or so-called e-marketplaces. However, a lot of these online marketplaces sell 90% imported products. In addition, the outbreak of Covid-19 in Indonesia has prompted the government to establish several policies that have significantly reduced MSME performance by up to 70-100%. This study aimed to provide an empirical analysis of the influence of factors based on the Technology of Acceptance Model (TAM) approach, namely e-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces. The sample consisted of MSMEs in East Java, especially those engaged in the food and beverage industry sector with ready-to-eat processed food products whose business activities use the Shopee e-marketplace application platform. This is an online shopping marketplace focused on mobile platforms. There were 150 respondents. The Structural Equation Model (SEM) was used. E-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces all had positive effects on each other. This showed that a system that offers convenience will improve behavior, habits, and performance for MSMEs in using e-marketplace activities. The theoretical and methodological implications and opportunities for further research are discussed. Keywords: MSMEs, e-marketplace, technology acceptance model

scholarly journals The Determinants of Use and Acceptance of Mobile Assisted Language Learning: The Case of EFL Students in Morocco

2019 ◽  
Author(s):  
Nabil Morchid
Keyword(s):  
Language Learning ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Teacher Feedback ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Mobile Assisted Language Learning ◽  
Effort Expectancy ◽  
Behavioral Intention To Use ◽  
The Impact

The intent of this paper is to research the factors that determine students’ acceptance of mobile assisted language learning (MALL) in Morocco. This study emphasizes the inclusive character of the Unified Theory of Acceptance and Use of Technology (UTAUT). After careful assessment of the multiple relationships within UTAUT, a modified version of the theory was hypothesized then researched for the impact it has on the English as Foreign Language (EFL) context in Morocco. The technology acceptance model in this paper emphasized four directions connecting performance expectancy, effort expectancy, teacher feedback and compatibility to behavioral intention, also referred to as the determinants of behavioral intention to use MALL. For the purpose of this study, a technology enhanced environment was created. A total number of 156 EFL common core students were brought to interact on a WhatsApp-based platform by means of text-messaging. The WhatsApp treatment was optimized to synchronize with the institutionalized character of the teaching of English in Moroccan public schools. The questionnaire method was used for data collection. The data were screened for missingness, normality and outliers. Then, multiple reliability and validity tests were performed to substantiate the legitimacy of the dataset. Structural equation modelling (SEM) was used in the assessment of the measurement model and the structural model. The outputs of structural modelling corroborated the hypothesized directions connecting teacher feedback and compatibility to behavioral intention to use MALL while there was lack of support for the relationships linking performance expectancy and effort expectancy to behavioral intention to use MALL.

scholarly journals The Perception and Usage of Google Drive among Higher Education Institution Students in Brunei Darussalam.

2021 ◽  
Vol 12 (3) ◽  
pp. 0-0
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Intention To Use ◽  
Brunei Darussalam ◽  
Google Drive ◽  
Behavioral Intention To Use

Recently cloud computing services have been adopted by many people and organizations. Google Drive is one of the cloud computing platforms that has gained popularity among students in higher education institutions. This study examines the perceptions and the current usage of Google Drive among students in higher education institutions in Brunei Darussalam. The study adopted the Technology Acceptance Model (TAM) and two additional factors namely perceived speed of access (PSA) and perceived security (PS). The primary objectives of this research are to explore the factors affecting the usage of Google Drive by the students in higher education institutions in Brunei, to investigate the perceptions of the students on the use of Google Drive and to find whether attitude influences the behavioral intention to use Google Drive among the students. The findings of this study connote that the students’ perceptions on Google Drive have a significant influence towards their attitude to use Google Drive which in turn influence their behavioral intention to use Google Drive in the future.

scholarly journals Technology Acceptance Model Perilaku Pengguna pada Sistem Enterprise Dompet Dhuafa

2021 ◽  
Vol 4 (1) ◽  
pp. 11-16
Author(s):  
Imam Ali Khumaidi ◽  
Rinda Hesti Kusumaningtyas
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Actual System ◽  
Web Based ◽  
Tam Model ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Dompet Dhuafa Enterprise System (DESI) is a system created in 2015. Initially it was created to replace the Fundrising Administration System (SANDRA) because SANDRA is a desktop-based application. Nowadays DESI is only used for budgeting functions and “Tebar Hewan Kurban” (THK) its a sacrificial animal stocking functions. DESI which has daily functions such as budgeting and seasonal functions in THK. In its implementation, DESI which is a web-based system sometimes becomes difficult to access when the system has a problem. This certainly makes the budgeting function that is used in daily activities become not implemented. THK's function in DESI was also inseparable from problems, one of which was the presence of volunteers who did not directly enter the data of prospective victims into DESI during the THK implementation. New data entered into DESI on the first Tasyrik day, for example, will increase work in other divisions. It would be different if it had been done before the sacrificial feast. This study aims to determine the factors that influence the acceptance behavior of DESI users. In this quantitative study using the Technology Acceptance Model (TAM) model. Sampling in this study using purposive sampling and accidental sampling. This study uses PLS-SEM for data processing and uses the application of SmartPLS version 3. There are 6 variables examined in this study, namely perceived usefulness, perceived easy of use, format, attitude using, behavioral intention to use, and actual system usage. From 7 hypotheses proposed there is one hypothesis that is rejected, namely the path attitude toward using the behavioral intention to use.

scholarly journals Toward the Adoption of Anaerobic Digestion Technology through Low-Cost Biodigesters: A Case Study of Non-Centrifugal Cane Sugar Producers in Colombia

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2566
Author(s):  
Oscar Mendieta ◽  
Liliana Castro ◽  
Erik Vera ◽  
Jader Rodríguez ◽  
Humberto Escalante
Keyword(s):  
Anaerobic Digestion ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Low Cost ◽  
Cane Sugar ◽  
Intention To Use ◽  
Promising Alternative ◽  
Proposed Model ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Anaerobic digestion using low-cost biodigesters (LCB) is a promising alternative for Colombian producers of non-centrifugal cane sugar (NCS). Since the integration of anaerobic digestion technology in this agro-industry is novel, it is critical to understand the factors that affect the acceptance behavior of such technology by NCS producers to develop future policies that promote the adoption of sustainable energy alternatives. This study aimed to analyze NCS producers’ behavioral intention to use LCB by utilizing an extended technology acceptance model (TAM). Data from a survey of 182 producers were used to evaluate the proposed model empirically. The extended TAM accounted for 78% of the variance in producers’ behavioral intention to use LCB. Thus, LCB acceptability could be fairly precisely predicted on the basis of producers’ intentions. This study’s findings contribute to research on the TAM and provide a better understanding of the factors influencing NCS producers’ behavioral intention to use LCB. Furthermore, this approach can assist policymakers at the local and global levels, given that NCS is produced in various developing countries worldwide.

Behavioral Intention to Use Mobile Technology in Language Teaching

2020 ◽  
Vol 16 (4) ◽  
pp. 14-34
Author(s):  
Ibtehal Mahmoud Aburezeq ◽  
Fawzi Fayez Ishtaiwa-Dweikat ◽  
Marielle Patronis
Keyword(s):  
Technology Acceptance ◽  
Mobile Technology ◽  
Behavioral Intention ◽  
Language Teaching ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Study Results ◽  
Behavioral Intention To Use

This study aimed to qualitatively investigate the factors that influence teachers' behavioral intention to use mobile technology (BIU) for language teaching employing the original technology acceptance model (TAM) as a framework. Semi-structured interviews were conducted with 28 Arabic and English teachers. The study results revealed that there were several external variables influencing teachers' behavioral intention to use mobile technology. It was also found that participants had mixed levels of perceived ease of use (PEOU), perceived usefulness (PU), and attitude toward use (ATU). Moreover, it was concluded that ATU had a direct impact on BIU and PU was the responsible factor for participants who had a mixed ATU.

YouTube for Procedural Learning

2021 ◽  
pp. 179-196
Author(s):  
Lim Wen Ying ◽  
Chew Yuin Xian ◽  
Chan Cyn Ye ◽  
Leow Shyir Khie ◽  
Siti Badriyah Mohamad Rozlan ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Teaching And Learning ◽  
Procedural Learning ◽  
Perceived Usefulness ◽  
Future Research ◽  
Intention To Use ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Behavioral Intention To Use

YouTube is reshaping teaching and learning across the world and is becoming a preferred platform for students' procedural learning to acquire relevant skills and knowledge in implementing any tasks. The aims of this research are to assess factors influencing student intention to use YouTube for procedural learning. In addition, the technology acceptance model (TAM) was applied as the underpinning theory. Data was analyzed to examine the hypothesized relationships. Results revealed that content richness, task-technology fit, YouTube self-efficacy, and vividness significantly affect students' behavioral intention to use YouTube for procedural learning. Results infer that YouTube enlarges its function as a mass-oriented means for procedural learning as students develop positive perceived usefulness of YouTube to influence their behavioral intention to use YouTube. This study integrated TAM and assessed factors influencing student intention to use YouTube for procedural learning. Future research directions are also put forward.

User Acceptance of mHealth Apps: Applying an Extended UTAUT2 Model to Explain Acceptance of Lifestyle and Therapy Apps (Preprint)

2021 ◽  
Author(s):  
Eva-Maria Schomakers ◽  
Chantal Lidynia ◽  
Luisa Vervier ◽  
André Calero Valdez ◽  
Martina Ziefle
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Digital Health ◽  
Cost Effective ◽  
Intention To Use ◽  
Healthcare Applications ◽  
Online Questionnaire ◽  
Acceptance Model ◽  
Behavioral Intention To Use ◽  
Mhealth Apps

BACKGROUND Mobile healthcare applications (mHealth apps) are a promising technology to monitor and control health individually and cost-effective with a technology that is widely used, affordable and ubiquitous in many people's lives. Download statistics show that lifestyle apps are widely used by young and healthy users to improve fitness, nutrition, and more. While this is an important aspect for the prevention of future chronic diseases, the burdened healthcare systems worldwide may directly profit from the use of therapy apps by those patients already in need for medical treatment and monitoring. OBJECTIVE Therefore, by comparing lifestyle and therapy apps, we aim at better understanding what influences potential users’ decisions to use (or not to use) mHealth apps. METHODS We apply the established UTAUT2 technology acceptance model to evaluate mHealth apps in an online questionnaire with n = 707 German participants. Additionally, trust and privacy concerns are added to the model and in a between-subject study design the influence of these predictors on behavioral intention to use is compared between lifestyle and therapy apps. RESULTS The results show that the model does only weakly predict the intention to use mHealth apps (R2 = .019). Only hedonic motivation is a significant predictor of behavioral intentions regarding both app types (lifestyle: .196, p < .01; therapy: .344, p < .001). Habit influences the behavioral intention to use lifestyle apps (.272, p < .001), while social influence (.185, p < .001) and trust (.273, p < .001) predict the intention to use therapy apps. A further exploratory correlation analysis of the relationship between user factors on behavioral intention was calculated. Health app familiarity shows the strongest correlation to the intention to use (r = .469, p < .001), stressing the importance of experiences. Also age, education level, app familiarity, digital health literacy, privacy disposition, and the propensity to trust apps correlate weakly to behavioral intention to use mHealth apps. CONCLUSIONS The results indicate that for the health care context, new and improved acceptance models need to be developed that also integrate user diversity, especially experiences with apps and mHealth.

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