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- Publisher Website: 10.1007/978-3-030-22784-5_6
- Scopus: eid_2-s2.0-85069212072
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Conference Paper: Revealing the Black Box of Privacy Concern: Understanding How Self-disclosure Affects Privacy Concern in the Context of On-Demand Services Through Two Competing Models
Title | Revealing the Black Box of Privacy Concern: Understanding How Self-disclosure Affects Privacy Concern in the Context of On-Demand Services Through Two Competing Models |
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Authors | |
Keywords | Information processing theory On-demand services Privacy concern Prominence interpretation theory Self-disclosure |
Issue Date | 2019 |
Publisher | Springer. The Proceedings' web site is located at https://link.springer.com/conference/web |
Citation | The 17th Workshop on e-Business (WeB): The Ecosystem of e-Business: Technologies, Stakeholders, and Connections, Santa Clara, CA, USA, 12 December 2018. In Xu, J ... (et al) (eds) The Ecosystem of e-Business: Technologies, Stakeholders, and Connections (WEB 2018), p. 53-62. Cham: Springer, 2019 How to Cite? |
Abstract | As a prevalent economic paradigm, on-demand services match service providers and consumers with respective needs through the on-demand service platform. Consumers have to express their needs through self-disclosure, which inevitably raises privacy concern. However, how consumers’ self-disclosure influences their privacy concern has not been well studied and remains as a black box. In this study, we would like to investigate how consumers’ prior self-disclosure affects their privacy concern through two competing models derived from two theories in the literature: prominence interpretation theory and information processing theory. Based on prominence interpretation theory, the first model explains how the amount of consumers’ prior self-disclosure in the past use affects the prominence and interpretation of requests for self-disclosure, thus finally influences consumers’ privacy concern about their information. Based on information processing theory, the second model proposes a two-step approach that the amount of consumers’ prior self-disclosure in the past use affects consumers’ beliefs in the first step, and in the second step consumers’ beliefs impact their evaluation of the on-demand service platform, thus finally influence their privacy concern. The models will be tested based on survey data collected from on-demand service consumers. The potential theoretical contributions and practical implications for consumers, service providers, and platforms are discussed. |
Persistent Identifier | http://hdl.handle.net/10722/278566 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.339 |
Series/Report no. | Lecture Notes in Business Information Processing ; v. 357 |
DC Field | Value | Language |
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dc.contributor.author | Li, C | - |
dc.contributor.author | Chau, PYK | - |
dc.date.accessioned | 2019-10-21T02:09:54Z | - |
dc.date.available | 2019-10-21T02:09:54Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | The 17th Workshop on e-Business (WeB): The Ecosystem of e-Business: Technologies, Stakeholders, and Connections, Santa Clara, CA, USA, 12 December 2018. In Xu, J ... (et al) (eds) The Ecosystem of e-Business: Technologies, Stakeholders, and Connections (WEB 2018), p. 53-62. Cham: Springer, 2019 | - |
dc.identifier.isbn | 978-3-030-22783-8 | - |
dc.identifier.issn | 1865-1348 | - |
dc.identifier.uri | http://hdl.handle.net/10722/278566 | - |
dc.description.abstract | As a prevalent economic paradigm, on-demand services match service providers and consumers with respective needs through the on-demand service platform. Consumers have to express their needs through self-disclosure, which inevitably raises privacy concern. However, how consumers’ self-disclosure influences their privacy concern has not been well studied and remains as a black box. In this study, we would like to investigate how consumers’ prior self-disclosure affects their privacy concern through two competing models derived from two theories in the literature: prominence interpretation theory and information processing theory. Based on prominence interpretation theory, the first model explains how the amount of consumers’ prior self-disclosure in the past use affects the prominence and interpretation of requests for self-disclosure, thus finally influences consumers’ privacy concern about their information. Based on information processing theory, the second model proposes a two-step approach that the amount of consumers’ prior self-disclosure in the past use affects consumers’ beliefs in the first step, and in the second step consumers’ beliefs impact their evaluation of the on-demand service platform, thus finally influence their privacy concern. The models will be tested based on survey data collected from on-demand service consumers. The potential theoretical contributions and practical implications for consumers, service providers, and platforms are discussed. | - |
dc.language | eng | - |
dc.publisher | Springer. The Proceedings' web site is located at https://link.springer.com/conference/web | - |
dc.relation.ispartof | 17th Workshop on e-Business, WeB 2018: The Ecosystem of e-Business: Technologies, Stakeholders, and Connections | - |
dc.relation.ispartofseries | Lecture Notes in Business Information Processing ; v. 357 | - |
dc.subject | Information processing theory | - |
dc.subject | On-demand services | - |
dc.subject | Privacy concern | - |
dc.subject | Prominence interpretation theory | - |
dc.subject | Self-disclosure | - |
dc.title | Revealing the Black Box of Privacy Concern: Understanding How Self-disclosure Affects Privacy Concern in the Context of On-Demand Services Through Two Competing Models | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Chau, PYK: pchau@business.hku.hk | - |
dc.identifier.authority | Chau, PYK=rp01052 | - |
dc.identifier.doi | 10.1007/978-3-030-22784-5_6 | - |
dc.identifier.scopus | eid_2-s2.0-85069212072 | - |
dc.identifier.hkuros | 307566 | - |
dc.identifier.spage | 53 | - |
dc.identifier.epage | 62 | - |
dc.identifier.eissn | 1865-1356 | - |
dc.publisher.place | Cham | - |
dc.identifier.issnl | 1865-1348 | - |