6th North American International Conference on Industrial Engineering and Operations Management

The Evaluation of Acceptance Samsung Smart Switch Application as Data Sharing Media Using UTAUT

Rizki Tri Prasetio, Yudi Ramdhani, Doni Purnama Alamsyah & Kurniadi Kurniadi
Publisher: IEOM Society International
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Track: Decision Sciences
Abstract

Samsung Smart Switch is a multi-platform application that will make it easier for users to share and transfer data via wired or wireless from various platforms to all Samsung Galaxy devices. This study was conducted to analyze the adoption factors for the acceptance of data sharing applications using the Samsung Smart Switch with the Unified Theory of Acceptance and Use of Technology (UTAUT) model. UTAUT consists of four independent variables and one bound, namely performance expectancy, effort expectancy, social influence, facilitating conditions and behavioral intention. This research was conducted on 100 respondents of Samsung Smart Switch users who had moved data from old devices to Samsung Galaxy devices. Data was collected through interviews and questionnaires, and multiple linear regression was used for data processing. The results of the study obtained the results of the analysis that the variables of performance expectancy, effort expectancy, social influence, facilitating condition have a correlation value of 0.902 to behavioral intention, meaning that the independent and dependent variables in this study have a strong relationship, the calculated F value is 103.360, the value of R Square (R2) of 81.3% while the rest is influenced by other variables. It can also be concluded that simultaneously, the variables of performance expectancy, effort expectancy, social influence, facilitating condition have a significant effect on behavioral intention. Effort expectancy and facilitating condition variables have a significant effect on behavioral intention partially, while performance expectancy and social influence do not have a significant effect on behavioral intention

Published in: 6th North American International Conference on Industrial Engineering and Operations Management, Monterrey, Mexico

Publisher: IEOM Society International
Date of Conference: November 3-5, 2021

ISBN: 978-1-7923-6130-2
ISSN/E-ISSN: 2169-8767