scholarly journals Using the technology acceptance model in understanding citizens’ behavioural intention to use m-marketing among Jordanian citizen

2018 ◽  
Vol 12 (02) ◽  
Author(s):  
Mohammad Mahmoud Alzubi ◽  
◽  
Maged Mustafa Al-Dubai ◽  
Mazen Mohammed Farea ◽  
◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Acceptance Model

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.

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>

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 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

FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR

2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Electronic Money ◽  
Factors Affecting ◽  
Acceptance Model

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.

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