Understanding the customers’ perception in motorcycle ride-sharing on personal data protection

Rosalia Valentin Margareta, Yudho Giri Sucahyo, Yova Ruldeviyani, Arfive Gandhi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Personal Data Protection is governed by the laws of the Republic of Indonesia. The regulation must also be obeyed by motorcycle ride-sharing service. It is important to know the customers’ perception of personal data protection since it will affects the customers’ intention to provide their personal data when using the services. An analysis was conducted using quantitative methods and PLS-SEM to determine this case. 253 ride-sharing customers were hired as respondents who tested by several variables: privacy violation experiences, privacy concerns, risk beliefs, trusting beliefs, and behavioral intentions. As the results, a personal data violation experience does not negatively affect customers’ privacy concerns. However, the privacy concerns do not negatively affect the level of customers’ trust and the desire to provide personal data. It has a positive effect on the potential perceived risk. This study recommends ride-sharing providers to develop their data protection, improve privacy policies, and provides access control for customers.

Original languageEnglish
Title of host publication2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages125-130
Number of pages6
ISBN (Electronic)9781728101354
DOIs
Publication statusPublished - 17 Jan 2019
Event10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018 - Yogyakarta, Indonesia
Duration: 27 Oct 201828 Oct 2018

Publication series

Name2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018

Conference

Conference10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
Country/TerritoryIndonesia
CityYogyakarta
Period27/10/1828/10/18

Keywords

  • Online motorcycle taxi
  • Partial least square-structural equation modeling
  • Personal data
  • Personal data protection

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