A Study on the Intention to Use Home Training Devices with Extended Technology Acceptance Model

2021 ◽  
Vol 45 (3) ◽  
pp. 13-24
Author(s):  
Jaehyung Park ◽  
Chulwon Lee ◽  
Minjeong Kim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Intention To Use ◽  
Acceptance Model ◽  
Home Training

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.

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 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

An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model

2018 ◽  
Vol 47 (1) ◽  
pp. 397-415 ◽  
Author(s):  
Yu Wang ◽  
Shanyong Wang ◽  
Jing Wang ◽  
Jiuchang Wei ◽  
Chenglin Wang
Keyword(s):  
Empirical Study ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Intention To Use ◽  
Ride Sharing ◽  
Acceptance Model

A Holistic Model Proposal to Better Understand Mobile Purchases

2021 ◽  
Vol 17 (3) ◽  
pp. 84-97
Author(s):  
Sinda Agrebi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Purchase Intention ◽  
Mobile Internet ◽  
Ease Of Use ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Holistic Model ◽  
Acceptance Model

This research suggests a model to explain mobile purchase intention via smartphones based on the technology acceptance model to which specific variables to the m-commerce context were added: perceived risk, innovativeness, ubiquity, and trust in mobile internet. To that aim, a quantitative study was conducted with 400 French mobile users (200 buyers and 200 non-buyers) and was based on a purchase simulation of a train ticket on a mobile site up to the point of payment. The results show that the usefulness (explained by the innovativeness, the ubiquity and trust toward mobile Internet) and the perceived risk (explained by the innovativeness) have an impact on the intention to use unlike the perceived ease of use.

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.

Sign in / Sign up

Export Citation Format

Share Document