An empirical examination of voluntary profiling: Privacy and quid pro quo
DC Field | Value | Language |
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dc.contributor.author | Koh, Byungwan | - |
dc.contributor.author | Raghunathan, Srinivasan | - |
dc.contributor.author | Nault, Barrie R. | - |
dc.date.accessioned | 2021-08-31T01:10:50Z | - |
dc.date.available | 2021-08-31T01:10:50Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2020-05 | - |
dc.identifier.issn | 0167-9236 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/56118 | - |
dc.description.abstract | Evidence suggests that firms which use customer data analytics perform better than those that do not. However, the current policy of voluntary profiling allows firms to collect and use customer information only if customers voluntarily disclose information with them. Further, surveys and literature show that many customers are not comfortable with firms collecting their information due to privacy concerns. A vast literature has examined customer information disclosing behavior using the privacy calculus. The primary premise of the privacy calculus is that despite strong privacy concerns, customers disclose information if the benefits they can get from disclosure justify the costs of losing privacy, or privacy costs. Based on the privacy calculus, firms and marketers believe that customers voluntarily disclose information in exchange for monetary benefits such as discount coupons or cash rewards. Using transaction data that we collected from a firm that sells skin care cosmetic products on its website, we investigate if there is statistical evidence that shows customers disclose information in exchange for monetary benefits. In line with the privacy calculus, we find that customers with low privacy costs and that expect high benefits from personalized services such as product recommendations are more likely to disclose information. Monetary incentives only work as an effective means to elicit information from customers in the age range of 12-21 years old. Customers, on average, and especially customers in the age range of 22-54 years old are not likely to disclose information simply as a tradeoff for monetary benefits. Personalized services outweigh monetary benefits in enticing these customers to disclose information. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.subject | INFORMATION PRIVACY | - |
dc.subject | E-COMMERCE | - |
dc.subject | CALCULUS MODEL | - |
dc.subject | PERSONAL INFORMATION | - |
dc.subject | CONSUMER PRIVACY | - |
dc.subject | COUPON PRONENESS | - |
dc.subject | DISCLOSURE | - |
dc.subject | ONLINE | - |
dc.subject | WILLINGNESS | - |
dc.subject | SERVICES | - |
dc.title | An empirical examination of voluntary profiling: Privacy and quid pro quo | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Koh, Byungwan | - |
dc.identifier.doi | 10.1016/j.dss.2020.113285 | - |
dc.identifier.scopusid | 2-s2.0-85082536772 | - |
dc.identifier.wosid | 000528011000009 | - |
dc.identifier.bibliographicCitation | DECISION SUPPORT SYSTEMS, v.132 | - |
dc.relation.isPartOf | DECISION SUPPORT SYSTEMS | - |
dc.citation.title | DECISION SUPPORT SYSTEMS | - |
dc.citation.volume | 132 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.subject.keywordPlus | INFORMATION PRIVACY | - |
dc.subject.keywordPlus | E-COMMERCE | - |
dc.subject.keywordPlus | CALCULUS MODEL | - |
dc.subject.keywordPlus | PERSONAL INFORMATION | - |
dc.subject.keywordPlus | CONSUMER PRIVACY | - |
dc.subject.keywordPlus | COUPON PRONENESS | - |
dc.subject.keywordPlus | DISCLOSURE | - |
dc.subject.keywordPlus | ONLINE | - |
dc.subject.keywordPlus | WILLINGNESS | - |
dc.subject.keywordPlus | SERVICES | - |
dc.subject.keywordAuthor | Information disclosing | - |
dc.subject.keywordAuthor | Coupon redemption | - |
dc.subject.keywordAuthor | Privacy calculus | - |
dc.subject.keywordAuthor | Rx. cosmetics | - |
dc.subject.keywordAuthor | Voluntary profiling | - |
dc.subject.keywordAuthor | Customer data analytics | - |
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