Loyalty programs and personal data sharing preferences in the Czech Republic

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dc.contributor.authorTahal, Radek
dc.contributor.authorFormánek, Tomáš
dc.contributor.authorMohelská, Hana
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2017-03-21
dc.date.available2017-03-21
dc.date.issued2017-03-15
dc.description.abstractEffective loyalty program management and evaluation requires that retailers have access to relevant data. In most cases, loyalty program organizers aim to establish consumer databases for the purpose of identification of individual customers: loyalty program members. The structure and quality of customer data often has a strategic effect on retailers’ decision-making accuracy and profitability. On the other hand, consumers worry about their privacy and fear their personal data may be misused. For a good-faith loyalty program organizer, it is an ongoing task to reconcile their corporate interests with the interests of consumers who are often rewarded by purchase incentives and personalized services. Consumer’s willingness to disclose personal information to loyalty program organizers is not uniform. In fact, individual preferences, sociodemographic and lifestyle factors play a very important role. This study provides a structured quantitative analysis of customers´ willingness to share selected key types of personal and contact data with loyalty program organizers in the Czech Republic. Cost-benefit assessments based on our results may help marketing managers with establishing and/or amending key LP incentives. We identify and discuss important differences in personal and contact data-sharing preferences among specific consumer groups. To highlight some of the empirical results, respondents aged 65 and older are significantly less willing to disclose personal data as compared to younger consumers. On the other hand, we do not find a statistically significant evidence for education-based differences in data sharing preference. Our results may be utilized by marketing professionals (loyalty program organizers) as well as by academic researchers in order to optimize their consumer data-gathering processes.en
dc.formattext
dc.format.extent187-199 s.cs
dc.identifier.doi10.15240/tul/001/2017-1-013
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/19864
dc.language.isoen
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisherTechnická Univerzita v Libercics
dc.publisher.abbreviationTUL
dc.relation.isbasedonAimia. (2011). How Generation Y will reshape customer loyalty. Retrieved November 24, 2016, from https://www.aimia.com/en/media-center/news-releases/viewer.html/en/how-generation-y-will-reshape-customer-loyalty.
dc.relation.isbasedonAlbrecht, K. (2006). Supermarket “loyalty” cards and consumer privacy education: An examination into consumer knowledge about cards' data collection function. Cambridge, US: Harvard University.
dc.relation.isbasedonAnderson, J. (2015). The economics of privacy: Rethinking the value of personal data collection. Journal of Information Ethics, 24(2), 5-8. doi:10.5210/fm.v19i12.5008.
dc.relation.isbasedonApriva, llc; researchers submit patent application, "system and method for secure marketing of customer data in a loyalty program", for approval. (2013). Marketing Weekly News, p.495.
dc.relation.isbasedonBacik, R., Gavurova, B., & Fedorko, I. (2015). The analysis of the impact of selected marketing communication factors on the online consumer behavior. , 10(7), 999-1004.
dc.relation.isbasedonBlackburn, C. (2015). New technology, personal data protection and implications for financial services regulation. JASSA, 1(4), 59-65.
dc.relation.isbasedonConsumers believe total data privacy no longer exists. (2013). Document News, 31(1), 7-8.
dc.relation.isbasedonDavidson, R., & MacKinnon, J. G. (2009). Econometric Theory and Methods (pp. 454-465). New York: Oxford University Press.
dc.relation.isbasedonDhal, S. R. (2015). Demographic profile and customer loyalty: A study on organized retail sector. International Journal on Global Business Management & Research, 4(1), 23-32.
dc.relation.isbasedonGavurova, B., Stefko, R., & Bacik, R. (2014). The analysis of social services’ structure in a specific region and its significance for health and social policy in Slovakia. , 10(2), 43-53.
dc.relation.isbasedonJames, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An Introduction to Statistical Learning with applications in R. New York: Springer-Verlag.
dc.relation.isbasedonKoponen, J., & Mangiaracina, A. (2014). No free lunch: Personal data and privacy in EU competition law. Computer and Internet Lawyer, 31(6), 7-15.
dc.relation.isbasedonLara, P. R., & De Madariaga, J. G. (2007). The importance of rewards in the management of multisponsor loyalty programmes. Journal of Database Marketing & Customer Strategy Management, 15(1), 37-48. doi:10.1057/palgrave.dbm.3250066.
dc.relation.isbasedonMariner, W. K., & Cannella, M. E. (2015). The consumer privacy bill of rights: Window dressing for data mining? Human Rights, 41(4), 21-22.
dc.relation.isbasedonMatzner, T. (2014). Why privacy is not enough privacy in the context of "ubiquitous computing" and "big data". Journal of Information, Communication & Ethics in Society, 12(2), 93-106. doi:10.1108/JICES-08-2013-0030.
dc.relation.isbasedonMohelska, H., & Sokolova, M. (2016). Smart, connected products change a company's business strategy orientation. Applied Economics. 48(47), 4502-4509. doi:10.1080/00036846.2016.1158924.
dc.relation.isbasedonNearly a third of consumers are worried about the safety of their personal information in loyalty programs. (2013). Mintel Group Ltd, PR Newswire. Retrieved July 4, 2016, from http://www.mintel.com/press-centre/retail-press-centre/privacy-in-loyalty-programs.
dc.relation.isbasedonNielsen survey: 84% of global respondents more likely to visit retailers offering a loyalty program. (2013). Entertainment Close – Up. Retrieved July 7, 2016, from http://www.nielsen.com/us/en/press-room/2013/nielsen-survey-84-percent-of-global-respondents-more-likely-to.html.
dc.relation.isbasedonOmar, N. A., Wel, C. A. C., Musa, R., & Nazri, M. A. (2010). Program benefits, satisfaction and loyalty in retail loyalty program: Exploring the roles of program trust and program commitment. IUP Journal of Marketing Management, 9(4), 6-28.
dc.relation.isbasedonSpiekermann, S., Acquisti, A., Böhme, R., & Hui, K. (2015). The challenges of personal data markets and privacy. Electronic Markets, 25(2), 161-167. doi:10.1007/s12525-015-0191-0.
dc.relation.isbasedonSoltes, V., Balloni, A. J., Gavurova, B., & Soltes, M. (2014). Economic aspects of a health system electronization. In A. Moumtzoglou, A. Kastania, & S. Archondakis (Eds.), (pp. 32-49). Hershey, PA: IGI Global. doi:10.4018/978-1-4666-6320-6.ch002
dc.relation.isbasedonTahal, R. (2015). Comparison of customer attitudes towards loyalty programs in Prague and in London. Central European Business Review, 4(3), 5-12. doi:10.18267/j.cebr.128.
dc.relation.isbasedonTahal, R., & Stříteský, V. (2014). Věrnostní programy a jejich vnímání zákazníky a provozovateli retailových internetových obchodů. Acta Oeconomica Pragensia, 22(4), 30-41.
dc.relation.isbasedonWackerly, D., Mendenhall, W., & Scheaffer, R. (2008). Mathematical Statistics with Applications (7th ed). Belmont, CA: Brooks/Cole.
dc.relation.isbasedonWade, A. E. (2010). A new age of privacy protection: A proposal for an international personal data privacy treaty. The George Washington International Law Review, 42(3), 659-685.
dc.relation.isbasedonWasan, P. G., & Tripathi, G. (2015). Revisiting social marketing mix: A socio-cultural perspective. Journal of Services Research, 14(2), 127-144.
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectloyalty programen
dc.subjectcustomer dataen
dc.subjectpersonal dataen
dc.subjectdata sharing preferencesen
dc.subject.classificationC25
dc.subject.classificationD12
dc.subject.classificationM31
dc.titleLoyalty programs and personal data sharing preferences in the Czech Republicen
dc.typeArticleen
local.accessopen
local.citation.epage199
local.citation.spage187
local.facultyFaculty of Economics
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue1
local.relation.volume20
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