AN EXAMPLE ARTICLE REVIEW ON THE USE OF BIOMETRIC MEASUREMENT METHODS IN SOCIAL SCIENCES


Abstract views: 393 / PDF downloads: 227

Authors

DOI:

https://doi.org/10.37242/pejoss.4266

Keywords:

Digital Natives, Digital Immigrants, Digital Consumer Behavior, Biometric Analysis of Stress Level

Abstract

We easily observe that the important changes and developments in recent years have increased with technology and have affected human relations much more deeply. Interaction with technology is already the basis of generational differences and ongoing generational conflicts. This situation has started to make itself felt even more in today's world. The digital world, which has become an indispensable part of the lives of young generations, has created many fundamental differences in the lives of young people, from accessing information to shopping. In the context of these differences, generations form different groups in the literature as those who were born into technology or who try to adapt to technology by meeting technology later. While the generations that have been interacting with technology from the moment they were born are called digital natives, the generation that later meets technology and tries to keep up with the digitalized world is defined as digital immigrants. The generation, which is in the middle of these two groups and is in the transition phase, fits the definition of digital hybrids.

This study aims to better understand the consumer behavior differences of digital generations based on the unique characteristics of digital natives, digital immigrants and digital hybrids. In this context, the article named “Biometric Analysis of Stress Levels of Digital Natives and Digital Immigrants in Online Shopping Processes” by Küçün, Yaman, Güngör and Eroğlu (2018) has been tried to be evaluated.

Downloads

Download data is not yet available.

Published

2022-12-31

How to Cite

EROL, K. (2022). AN EXAMPLE ARTICLE REVIEW ON THE USE OF BIOMETRIC MEASUREMENT METHODS IN SOCIAL SCIENCES. Premium E-Journal of Social Science (PEJOSS), 6(25), 566–573. https://doi.org/10.37242/pejoss.4266