Open AccessRelationship of Personal Data Protection towards the Electoral Measures: Partial Least Square Analysis
Author(s) -
Muharman Lubis,
Arif Ridho Lubis,
Ahmad Almaarif,
Asti Amalia Nur Fajrillah
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1566/1/012111
Subject(s) - formative assessment , voting , nonprobability sampling , value (mathematics) , generalization , personally identifiable information , politics , internet privacy , public relations , computer science , psychology , political science , sociology , computer security , law , mathematics , mathematical analysis , pedagogy , population , demography , machine learning
The adoption of e -voting in several countries poses certain challenges, which are very similar when electronic means are applied to any activities, such as e -governance or e -commerce. Therefore, some people due to economics, politics or social reasons expect the e -voting use will facilitate and solve previous election’s problem. Unfortunately, the most complex and difficult practical implementation with distinct problems depends on the particular condition or culture. One of essential factor concerning the adoption related to privacy protection. Thus, this study examines the relationship of perceived benefit and privacy concern towards personal data protection by establishing model of formative measurement. For the generalization purposes, a survey questionnaire consists of 4 categories of 45 items was distributed offline and online to approximately 800 people with purposive sampling in selected multicultural cities in Indonesia. The result suggested that the Perceived Benefit (PBen) has the strongest predictive value of ƒ 2 and Q 2 compare to Privacy Concern (PCon) with 0.212 and 0.083 respectively.