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On Exploring the Factors that the Psychological Power of Smartphone use affects the Decision-Making

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Abstract
The purpose of this study was to explore the factors affecting the decision making of smartphone users. Recently, the use and dependence of smartphones has been rapidly increasing due to technological advances in the fourth industrial era and the spread of smartphones. In this context, this study set individual connectivity, use and dependencies, familiarity and expertise, validity and effectiveness, self-identity, and control as independent variables and set decision making as dependent variables. In this study, 200 smartphone users were collected, analyzed through questionnaires, and Smartpls 3.0 was used to figure out the impact between variables. Four out of six factors in smartphone users' psychological strength were analyzed to have affected their decision-making. This study examined how the psychological power of smartphone users affected intimacy/personal connectivity, use/dependence, familiarity/experience, validity, control, and decision making. The analysis showed that factors 1,2,4,5,6 with t value of 0.165 and p value of 0.10 all affect decision making, with the remaining factors 3 failing to meet the criteria and thus failing to comply with the criteria, which led to the rejection. However, it has been confirmed that factors 3 affect people who have been using Smartphones for a long time due to mitigation variables. This study is an important provision for the development of future industries and the possibility of smart device evolution. This is part of the psychological strength of the people on smartphones.
Author(s)
박소영
Issued Date
2019
Awarded Date
2019. 8
Type
Dissertation
URI
http://dcoll.jejunu.ac.kr/common/orgView/000000009101
https://oak.jejunu.ac.kr/handle/2020.oak/23941
Affiliation
제주대학교 대학원
Department
대학원 경영정보학전공
Advisor
김민철
Table Of Contents
..
Degree
Master
Publisher
제주대학교 대학원
Citation
박소영. (2019). On Exploring the Factors that the Psychological Power of Smartphone use affects the Decision-Making
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Faculty of Data Science for Sustainable Growth > Management Information Systems
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