Teachers' Intention to Use Technology Survey

The purpose of the paper was to investigate the factors that influenced the intention to use coffee by using Adanco software. Survey data was collected from 284 consumers living in Ho Chi Minh City, Vietnam. The research model was proposed from the studies of the behavioral intention. The reliability and validity of the scale were tested by Cronbach's Alpha, Average Variance Extracted (Pvc) and Composite Reliability (Pc). PLS-SEM showed that intention to use coffee was affected by some components of the intention to use coffee.

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Factors Influencing Behavioral Intention to Use Mobile Banking

International Journal of Business and Social Science ◽

10.30845/ijbss.v9n9p2 ◽

2018 ◽

Vol 9 (9) ◽

Author(s):

Myra V. De Leon

Keyword(s):

Behavioral Intention ◽

Intention To Use ◽

Mobile Banking ◽

Factors Influencing ◽

Behavioral Intention To Use

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Analysis of the Technology Acceptance Theoretical Model in Examining Users’ Behavioural Intention to Use an Augmented Reality App (IMAPCampus)

International Journal of Engineering and Management Research ◽

10.31033/ijemr.8.5.6 ◽

2018 ◽

Vol 8 (5) ◽

pp. 37-49 ◽

Cited By ~ 4

Author(s):

Hamed Alqahtani ◽

Manolya Kavakli ◽

Nazim Uddin Sheikh

Keyword(s):

Theoretical Model ◽

Augmented Reality ◽

Technology Acceptance ◽

Behavioural Intention ◽

Intention To Use

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Behavioural Intention to Use Building Information Modelling (BIM) among Community College Students in Malaysia

IIUM Journal of Educational Studies ◽

10.31436/ijes.v8i1.279 ◽

2020 ◽

Vol 8 (1) ◽

pp. 4-17

Author(s):

Nor Akmal Mohamad ◽

Madihah Khalid

Keyword(s):

College Students ◽

Community College ◽

Community College Students ◽

Ease Of Use ◽

Perceived Usefulness ◽

Behavioural Intention ◽

Intention To Use ◽

Building Information Modelling ◽

Information Modelling ◽

Building Information

Building information modelling (BIM) is one of the new technologies being used in architectural and constructions projects. At present, BIM curricula are being taught in many Malaysian higher learning institutions, including at the certificate level in community colleges. Even though many studies have investigated behavioural intention to adopt BIM in the industrial setting, studies on the intention to use BIM among students during their training or learning have not received the same level of attention. This study, therefore, investigated the extent to which community college students are willing to accept and use BIM. Factors that influenced their behavioural intention to use BIM, as well as the relationship between the factors and intention to use were also examined. The Technology Acceptance Model (TAM) was used as the theoretical framework to guide the research, where students’ behavioural intention to use BIM was explained through their perceptions of its usefulness and ease of use, as well as their attitude towards BIM utilization in the classroom. A total of 144 community college students enrolled in the architecture programmes in Malaysia were selected as the sample using convenience sampling. The findings show that the students’ behavioural intention to adopt BIM is high. They also perceive BIM as useful and easy to use, and their attitude towards BIM usage appears to be positive. The regression model produced an adjusted R-squared value of 0.790 indicating that 79% of the total variance in the students’ intention to use BIM can be explained by the three independent variables, i.e., perceived usefulness, ease of use, and attitude. Keywords: Building information modelling, perceived usefulness, perceived ease of use, attitude, intention to use, behavioural intention, Technology Acceptance Model

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Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

International Journal of New Media Technology ◽

10.31937/ijnmt.v4i2.783 ◽

2017 ◽

Vol 4 (2) ◽

pp. 75-81 ◽

Cited By ~ 1

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

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