scholarly journals Malaysian Undergraduates’ Behavioural Intention to Use LMS: An Extended Self-Directed Learning Technology Acceptance Model (SDLTAM)

2019 ◽  
pp. 8
Author(s):  
Christine Yik Fang Shane Ong
Keyword(s):  
Technology Acceptance ◽  
Learning Style ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Extended Model ◽  
Self Directed Learning ◽  
Directed Learning ◽  
Acceptance Model

The usage of Learning Management System (LMS) conducted in Blended Learning style is believed to increase students’ academic performance and their self-directed learning. Nonetheless, the success of students’ behavioural intention to use these e-learning platforms still remains unclear due to factors like self-directed learning, computer self-efficacy, satisfaction and perceived enjoyment and ESL. This preliminary study aims to incorporate factors that impact students’ self-directed learning of English language in achieving behavioural intention to use LMS with an extended model namely, SDLTAM, generalised for the Malaysian educational institutions. The original Technology Acceptance Model 1 by Davis (1989) was used as a theoretical framework of this study. However, the last variable Actual Use was excluded in this study. A sample of 338 respondents from both private and public universities in Malaysia took part in the 48-items survey. The data were analysed through Structural Equation Modelling through SPSS AMOS 24. The SEM AMOS revealed that the factors were found to moderately fit into the proposed model. This could be misspecification within the model and some items within a factor were more correlated to each other than others.

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

Behavioural Intention to Use Mobile Entertainment Services among Bangladeshi Students

2016 ◽  
Vol 8 (2) ◽  
pp. 38-53
Author(s):  
Qazi Mahdia Ghyas ◽  
Fumiyo N. Kondo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Theory Of Planned Behaviour ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Planned Behaviour ◽  
Tpb Model ◽  
Questionnaire Surveys ◽  
Acceptance Model ◽  
Improve Service Quality

This study aims to understand why the usage of mobile entertainment services (MES) among young Bangladeshis is negligible. The authors propose a modification of combined technology acceptance model (TAM) and the theory of planned behaviour (TPB) model with additional factors. Questionnaire surveys were conducted in Bangladesh among young adult mobile users. The authors analysed the data of 251 valid responses via four TAM–TPB models. The study model, based on a modified TAM–TPB framework, fits generally well for mobile entertainment services in Bangladesh. The three factors of perceived behaviour control, perceived value, and attitude are important determinants for intention to use mobile entertainment services, and perceived behavioural control has the strongest direct effect on attitude and indirect effect on behavioural intention. The results suggest that mobile companies need to strengthen their organizational and technical support systems and improve service quality and affordability to encourage young consumers to use MES.

An Empirical Study to Validate the Technology Acceptance Model in Explaining the Intention to Use Technology among Educational Users

2012 ◽  
pp. 282-294 ◽  
Author(s):  
Timothy Teo
Keyword(s):  
Data Analysis ◽  
Empirical Study ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Structural Models ◽  
Intention To Use ◽  
Acceptance Model ◽  
Acceptance Research ◽  
Study Offer

This study examines a sample (N=239) of pre-service teachers’ self-reported intention to use technology. The Technology Acceptance Model (TAM) was used as a research framework in which findings contribute to technology acceptance research by demonstrating the suitability of the TAM to explain the intention to use technology among educational users. Using the structural equation modelling for data analysis, a good fit was found for both the measurement and structural models. Overall, the results of this study offer evidence that the TAM is effective in predicting pre-service teachers’ intention to use technology. This paper concludes with a discussion of the limitations and recommendations for further study.

Understanding Vietnamese Consumer Intention to Use Online Retailer Websites

2020 ◽  
Vol 12 (2) ◽  
pp. 1-15
Author(s):  
A. F. M. Jalal Ahamed ◽  
Yam Limbu ◽  
Long Pham ◽  
Ha Van Nguyen
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Structural Equation ◽  
Online Shopping ◽  
Equation Model ◽  
Ease Of Use ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

This study examines the applicability of an extended technology acceptance model (TAM) that incorporates trust, perceived risk, and self-enhancement as antecedents to the TAM constructs. Data collected from 299 Vietnamese online consumers, through a self-administered survey, were entered into a structural equation model using AMOS 23 to establish causality. The results partially confirm the applicability of TAM to the online shopping intentions of Vietnamese consumer, though contrary to expectations, perceived ease of use does not predict behavioral intentions. Trust and self-enchantment fit well with the TAM; the inclusion of perceived risk as an antecedent is questionable. The findings offer new opportunities for explaining TAM theory in light of Schwartz's value dimensions. This article thus concludes with a discussion of the research contributions and implications.

scholarly journals Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system

2011 ◽  
Vol 27 (4) ◽  
Author(s):  
Ronnie H. Shroff ◽  
Christopher C. Deneen ◽  
Eugenia M. W. Ng
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Significant Influence ◽  
Individual Characteristics ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

<span>In recent years, instructors have had an increasing interest in integrating Internet based technologies into their classroom as part of the learning environment. Compared to studies on other information systems, student users' behaviour towards e-portfolios have not been assessed and thoroughly understood. This paper analyses the Technology Acceptance Model (TAM) in order to examine students' behavioural intention to use an electronic portfolio system, meaning how students use and appropriate it within the specific framework of a course. An E-Portfolio Usage Questionnaire was developed using existing scales from prior TAM instruments and modified where appropriate. Seventy-two participants completed the survey questionnaire measuring their responses to perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards usage (ATU) and behavioural intention to use (BIU) the e-portfolio system. The results of the study indicated that students' perceived ease of use (PEOU) had a significant influence on attitude towards usage (ATU). Subsequently, perceived ease of use (PEOU) had the strongest significant influence on perceived usefulness (PU). The research further demonstrated that individual characteristics and technological factors may have a significant influence on instructors to adopt e-portfolio into their courses. Results suggest that TAM is a solid theoretical model where its validity can extend to an e-portfolio context.</span>

An Empirical Study to Validate the Technology Acceptance Model (TAM) in Explaining the Intention to Use Technology among Educational Users

2010 ◽  
Vol 6 (4) ◽  
pp. 1-12 ◽  
Author(s):  
Timothy Teo
Keyword(s):  
Data Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Structural Models ◽  
Intention To Use ◽  
Equation Modelling ◽  
Acceptance Model ◽  
Acceptance Research ◽  
Study Offer

This study examines a sample (N=239) of pre-service teachers’ self-reported intention to use technology. The Technology Acceptance Model (TAM) was used as a research framework in which findings contribute to technology acceptance research by demonstrating the suitability of the TAM to explain the intention to use technology among educational users. Using the structural equation modelling for data analysis, a good fit was found for both the measurement and structural models. Overall, the results of this study offer evidence that the TAM is effective in predicting pre-service teachers’ intention to use technology. This paper concludes with a discussion of the limitations and recommendations for further study.

Using the Technology Acceptance Model (TAM) in Understanding Customers’ Behavioural Intention to Use E-CRM: Evidence from the Banking Industry

2021 ◽  
pp. 097226292110605
Author(s):  
Anupreet Kaur Mokha ◽  
Pushpender Kumar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Banking Industry ◽  
Positive Impact ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Acceptance Model

The present study has aimed to understand the customers’ behavioural intention to use electronic customer relationship management (E-CRM) in the banking industry, using the technology acceptance model (TAM). Purposive sampling technique is used to collect data from 300 banks that included customers from Delhi (India), and partial least square-structural equation modelling (PLS-SEM) was employed. The reliability and the validity of the overall model were evaluated using the measurement model, and the hypotheses were tested using the structural model. The results reveal that E-CRM had a positive impact on both perceived usefulness and perceived ease of use, which, in turn, had a positive impact on the attitude towards using E-CRM, which ultimately led to a positive behavioural intention of customers towards using E-CRM. This study reveals that there is a large potential for policymakers to raise awareness and acceptance of E-CRM services among the customers.

scholarly journals TECHNOLOGY ACCEPTANCE MODEL (TAM) DALAM SURVEI BIDANG KEPENDUDUKAN DAN KELUARGA BERENCANA

2019 ◽  
Vol 9 (2) ◽  
pp. 71
Author(s):  
Sukarno Sukarno ◽  
Nur Laila Meilani
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Actual System ◽  
Behavior Intention ◽  
Acceptance Model

Technology Acceptance Model (TAM) dalam Survei Bidang Kependudukan danKeluarga Berencana. Terjadi perubahan dalam teknik atau cara pengumpulan data dalam surveidi bidang kependudukan dan Keluarga Berencana/KB (selanjutnya disebut Survei Kinerja danAkuntabilitas Program/SKAP) yang semula dilakukan secara manual dan paper based menjadisistem yang berbasis smartphone yang menggunakan platform Open Data Kit (ODK). Sistemini mengubah semua rangkaian pengumpulan data menjadi paperless dan electronic based.Penelitian ini bertujuan untuk (a) mengukur tingkat pengaruh perceived ease of use terhadapperceived usefulness ; (b) mengukur tingkat pengaruh perceived ease of use terhadapattitude towards using: (c) mengukur tingkat pengaruh perceived usefulness terhadap behaviorintention to use; (d) mengukur tingkat pengaruh perceived usefulness terhadap attitude towardsusing; (e) mengukur tingkat pengaruh attitude towards using terhadap behavior intention touse; dan (f) mengukur tingkat pengaruh behavior intention to use terhadap actual system usedalam survei berbasis smartphone bidang kependudukan dan keluarga berencana di PulauSumatera. Populasi dalam kajian ini adalah seluruh enumerator dan supervisor survei SKAPyang ada di Pulau Sumatera, kemudian sampelnya ditetapkan menurut teknik estimasi maximumlikehood (ML) yaitu minimal 100 dna maksimal 400 responden. Analisis data dilakukan denganSEM (Structural Equation Modelling) dengan software AMOS (Analysis of Moment Structure).Hasil penelitian ini menunjukkan bahwa dari enam hipotesis yang diajukan, terdapat dua hipotesisyang diterima, yaitu (a) perceived ease of use mempunyai hubungan yang positif denganPerceived usefulness dengan nilai CR -4.31 >±1,96 dan angka probabilitasnya 0,001 (<0,05)dan (b) behavioral Intention to Use mempunyai hubungan yang positif dengan Actual SystemUse dengan CR = 2,819 >±1,96 dan probabilitas/P = 0,005 (<0,05).

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