The Difference Adoption of E-Commerce Technology among Z and Y Generations

Prasetya, FX Hendra and Harnadi, Bernardinus and Widiantoro, Albertus Dwiyoga (2020) The Difference Adoption of E-Commerce Technology among Z and Y Generations. IEEE Explore. ISSN Electronic ISBN:978-1-7281-2544-2 Print on Demand(PoD) ISBN:978-1-7281-2545-9

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Abstract

The rapid growth of e-commerce transactions among Y and Z generations in Indonesia goes along with the large number of internet users on both of the generations. Indonesia has become a potential market for the digital creative industry, especially to applications of online payments, online shopping, online booking, and online banking. In-depth investigations into these two generations in the form of developing e-commerce technology adoption models will provide valuable contributions in the development of models and implementation of e-commerce industries in Indonesia. This study aims to obtain factors that influence the acceptance of generation Z and Y against e-commerce technology and reveal the differences in their acceptance of it. Investigation was done by collecting 343 questionnaires in age range of Y and Z generations. The results of this study reveal that all variables employing in the model naming Satisfaction, Trust, Perceived Information Quality, Perceived Service Quality, Performance Expectancy, Effort Expectancy, Hedonic Motivation, Social Influence, Price Value, Habit, and Facilitating Conditions have statistically significantly correlation to Behavioral Intention and to each other. The significantly difference of adoption of ecommerce technology among Z and Y generations are only found on Hedonic Motivation and Social Influence. The other difference on gender is found on Age, Education, Satisfaction, Effort Expectancy, and Perceive Information Quality. This study can contribute to who have concern on enhance adopting of e-commerce technology especially to the two generations, especially developers of e-commerce application considering the factors that have correlation to intention to use e-commerce.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works
Divisions: Faculty of Computer Science > Department of Information Systems
Depositing User: Mr Hendra .
Date Deposited: 11 Oct 2023 08:52
Last Modified: 11 Oct 2023 08:52
URI: http://repository.unika.ac.id/id/eprint/33263

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