Analysis of personal data-sharing consent factors, with focus on loyalty programs in the Czech Republic
The purpose of this study is to provide structured, topical and representative analysis of personal data sharing preferences in the Czech Republic. Within the context of personal data sharing and protection, we focus on profiling individuals who voluntarily share their personal data with good-faith...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2018-05-01
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| Series: | Business: Theory and Practice |
| Subjects: | |
| Online Access: | https://journals.vgtu.lt/index.php/BTP/article/view/7946 |
| _version_ | 1827363497431793664 |
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| author | Tomas Formanek Radek Tahal |
| author_facet | Tomas Formanek Radek Tahal |
| author_sort | Tomas Formanek |
| collection | DOAJ |
| description | The purpose of this study is to provide structured, topical and representative analysis of personal data sharing preferences in the Czech Republic. Within the context of personal data sharing and protection, we focus on profiling individuals who voluntarily share their personal data with good-faith corporate entities. Loyalty program operators serve as a common and representative model of commercially driven collection and processing of personal data. We address different types of personal data and factors affecting individual data-sharing consent. Our original research is based on primary surveyed data (806 respondents surveyed during 2017). Multiple quantitative methods such as hierarchical clustering and logistic regression are employed in the analysis. Also, an important part of our research is based on evaluation of structured in-depth interviews, focused on personal data sharing and protection topics. We find pronounced socio-demographic differences in individual propensity to share one’s personal data with commercial data processors. Main findings and contrasting factors are pointed out and discussed within the paper. Our analysis reflects the needs of academic and corporate researches to whom it provides actionable and stratified results, especially in context of the new EU legislation: the GDPR directive on personal data protection. |
| first_indexed | 2024-03-08T07:50:58Z |
| format | Article |
| id | doaj.art-881b1aeff7dc416da7b4e933ada941a0 |
| institution | Directory Open Access Journal |
| issn | 1648-0627 1822-4202 |
| language | English |
| last_indexed | 2024-03-08T07:50:58Z |
| publishDate | 2018-05-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Business: Theory and Practice |
| spelling | doaj.art-881b1aeff7dc416da7b4e933ada941a02024-02-02T14:50:10ZengVilnius Gediminas Technical UniversityBusiness: Theory and Practice1648-06271822-42022018-05-011910.3846/btp.2018.0825566Analysis of personal data-sharing consent factors, with focus on loyalty programs in the Czech RepublicTomas Formanek0Radek Tahal1Department of Econometrics, Faculty of Informatics and Statistics, University of Economics, Prague, Czech RepublicDepartment of Marketing, Faculty of Business Administration, University of Economics, Prague, Czech RepublicThe purpose of this study is to provide structured, topical and representative analysis of personal data sharing preferences in the Czech Republic. Within the context of personal data sharing and protection, we focus on profiling individuals who voluntarily share their personal data with good-faith corporate entities. Loyalty program operators serve as a common and representative model of commercially driven collection and processing of personal data. We address different types of personal data and factors affecting individual data-sharing consent. Our original research is based on primary surveyed data (806 respondents surveyed during 2017). Multiple quantitative methods such as hierarchical clustering and logistic regression are employed in the analysis. Also, an important part of our research is based on evaluation of structured in-depth interviews, focused on personal data sharing and protection topics. We find pronounced socio-demographic differences in individual propensity to share one’s personal data with commercial data processors. Main findings and contrasting factors are pointed out and discussed within the paper. Our analysis reflects the needs of academic and corporate researches to whom it provides actionable and stratified results, especially in context of the new EU legislation: the GDPR directive on personal data protection.https://journals.vgtu.lt/index.php/BTP/article/view/7946personal dataGDPRdata sharing consentdata sharing preferencessocio-demographic factorsloyalty programs |
| spellingShingle | Tomas Formanek Radek Tahal Analysis of personal data-sharing consent factors, with focus on loyalty programs in the Czech Republic Business: Theory and Practice personal data GDPR data sharing consent data sharing preferences socio-demographic factors loyalty programs |
| title | Analysis of personal data-sharing consent factors, with focus on loyalty programs in the Czech Republic |
| title_full | Analysis of personal data-sharing consent factors, with focus on loyalty programs in the Czech Republic |
| title_fullStr | Analysis of personal data-sharing consent factors, with focus on loyalty programs in the Czech Republic |
| title_full_unstemmed | Analysis of personal data-sharing consent factors, with focus on loyalty programs in the Czech Republic |
| title_short | Analysis of personal data-sharing consent factors, with focus on loyalty programs in the Czech Republic |
| title_sort | analysis of personal data sharing consent factors with focus on loyalty programs in the czech republic |
| topic | personal data GDPR data sharing consent data sharing preferences socio-demographic factors loyalty programs |
| url | https://journals.vgtu.lt/index.php/BTP/article/view/7946 |
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