What Impacts E-Commerce Acceptance of Generation Z? A Modified Technology Acceptance Model

2021 ◽  
pp. 57-77
Author(s):  
Gulsah Hancerliogullari Koksalmis ◽  
Ayca Gozudok
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Generation Z ◽  
Acceptance Model

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

scholarly journals The Technology Acceptance Model of Mobile Payment Usage on Generation Z

2020 ◽  
Vol 11 (3) ◽  
pp. 149-156
Author(s):  
Nerry Kristina ◽  
Ibnu Harris
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Data Privacy ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Generation Z ◽  
Acceptance Model

The research aimed to support Technology Acceptance Model (TAM) theories such as Perceived Ease of Use (PEOU), Security (SECU), Brand Loyalty (BL), Behavioural Intention (BI), and the marketing models, Electronic Word of Mouth (EWOM), on the use of mobile payments of the Generation Z. The researchers used the quantitative method. Using a non-probability sampling method with a convenience sampling technique, there were 100 respondents of Generation Z. The data were then analyzed using Structural Equation Modeling (SEM) with Partial Least Square (PLS). The results show that PEOU has no significant effect on BI. SECU and BL affect BI significantly. Then, BI has a significant impact on EWOM. It means that PEOU is not an important factor for Generation Z to use mobile payment. SECU and BL make the Generation Z continue to use mobile payment without worrying about data privacy issues because BL is embedded in their mind. As a result of BI, Generation Z will do marketing in the form of EWOM to their closest friends or relatives via social media.

scholarly journals Islamic Financial Technology Usage: An Investing Perspectives On Generation Z

2020 ◽  
Vol 5 (2) ◽  
pp. 151-158
Author(s):  
Tri Wahyu Oktavendi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Generation Z ◽  
The Future ◽  
Acceptance Model ◽  
Research Show ◽  
Financial Technology

Today, in Sharia Finance Sector, there was some a new model of sharia finance based on Financial Technology, it is called Islamic Financial Technology (I-Fintech). In other side, A Generation Z comes up as consumer of I-Fintech in the future. There is a big question like “do Generation Z accept I-Fintech in the future?”. Using Technology Acceptance Model with 3 proxy, it is Perceived Usefulness, Perceived Ease of Use, and Attitude Toward Using. The result of this research show that Perceived Usefulness and Perceived Ease of Use affect on Attitude Toward Using I-Fintech. The conclusion is Generation Z’s perceived on I-Fintech are depend on its usefulness and ease of use. This result implied on the development focus of I-Fintech in the future. 

scholarly journals TECHNOLOGY ACCEPTANCE MODEL (TAM) ANALYSIS OF THE USE OF OVO APPLICATION IN F&B SERVICE INDUSTRY IN INDONESIA

2021 ◽  
Vol 1 (1) ◽  
pp. 1-14
Author(s):  
Reyner Ditya Susanto ◽  
Raynald Tjandinegara ◽  
Vido Iskandar ◽  
Endo Wijaya Kartika
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Service Industry ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Payment Method ◽  
Perceived Ease Of Use ◽  
Generation Z ◽  
Acceptance Model

This study aims to determine factors that influence user’s behavioral intention in using OVO as payment method in F&B industry in generation Z. The result of this research shows that Perceived usefulness will have direct influence in increasing user’s intention to use OVO and indirect influence by increasing user’s attitude which will strengthen the connection between perceived usefulness and behavioral intention. Perceived ease of use is proven to be not significant in increasing user’s intention directly. But perceived ease of use will increase user’s positive attitude first toward the usage of OVO which will eventually increase people’s intention toward using OVO as payment method in F&B industry

Developing and Validating a M-Governance Framework Adoption Model of a University for Communication Services to Its Affiliated Institutions

2017 ◽  
Vol 7 (7) ◽  
pp. 484
Author(s):  
E. Ramganesh ◽  
E. Kirubakaran ◽  
D. Ravindran ◽  
R. Gobi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Public Service ◽  
Mobile Applications ◽  
Communication Technologies ◽  
Mobile Technologies ◽  
Communication Services ◽  
Governance Framework ◽  
Social And Economic Development ◽  
Acceptance Model

The m-Governance framework of auniversity aims to utilize the massive reach of mobile phones and harness the potential of mobile applications to enable easy and round the-clock access to the services of its affiliated institutions.  In the current mobile age there is need for transforming e-governance services to m-Governance as m-Governance is not a replacement for e-Governance rather it complements e-Governance. With this unparalleled advancement of mobile communication technologies, universities are turning to m-governance to realize the value of mobile technologies for responsive governance and measurable improvements to academic, social and economic development, public service delivery, operational efficiencies and active stakeholder engagement. In this context the present study, aims to develop and validate a m-governance framework of a university by extending Technology Acceptance Model (TAM) with its prime stakeholders so called the Heads of the affiliated institutions. A survey instrument was developed based on the framework and it was administered with 20 Heads of the affiliated Institutions. The results also showed that the Heads of the affiliated Institutions expressed their favorableness towards m-governance adoption.

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