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Conference Paper: Love is Blind: Search And Matching in Online Dating
Title | Love is Blind: Search And Matching in Online Dating |
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Authors | |
Issue Date | 2021 |
Publisher | INFORMS Society for Marketing Science (ISMS). |
Citation | The 43rd ISMS Marketing Science Conference, Virtual Conference, 3-5 June 2021 How to Cite? |
Abstract | Using data on user search and matching histories from an online dating site, we study the role of information on matching platforms, emphasizing how partial or full information about the other side influences the final matching outcomes. We find that more information about the other side may make matching outcomes worse. This effect is mainly driven by the misaligned preferences (i.e., preference mismatch) between the two sides. Our findings suggest that there exists an optimal amount of information that the platform should provide to each side before a match is proposed. A consumer theory model is developed to rationalize the behavior and shed light on the optimal information provision strategies. |
Description | Session SA06: Platforms 1 - Contributed Session |
Persistent Identifier | http://hdl.handle.net/10722/304108 |
DC Field | Value | Language |
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dc.contributor.author | Shen, H | - |
dc.contributor.author | Dang, CI | - |
dc.contributor.author | Zhang, X | - |
dc.date.accessioned | 2021-09-23T08:55:21Z | - |
dc.date.available | 2021-09-23T08:55:21Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | The 43rd ISMS Marketing Science Conference, Virtual Conference, 3-5 June 2021 | - |
dc.identifier.uri | http://hdl.handle.net/10722/304108 | - |
dc.description | Session SA06: Platforms 1 - Contributed Session | - |
dc.description.abstract | Using data on user search and matching histories from an online dating site, we study the role of information on matching platforms, emphasizing how partial or full information about the other side influences the final matching outcomes. We find that more information about the other side may make matching outcomes worse. This effect is mainly driven by the misaligned preferences (i.e., preference mismatch) between the two sides. Our findings suggest that there exists an optimal amount of information that the platform should provide to each side before a match is proposed. A consumer theory model is developed to rationalize the behavior and shed light on the optimal information provision strategies. | - |
dc.language | eng | - |
dc.publisher | INFORMS Society for Marketing Science (ISMS). | - |
dc.relation.ispartof | The 43rd ISMS Marketing Science Conference 2021 / INFORMS Marketing Science Conference | - |
dc.title | Love is Blind: Search And Matching in Online Dating | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Dang, CI: ivydang@hku.hk | - |
dc.identifier.authority | Dang, CI=rp02659 | - |
dc.identifier.hkuros | 325521 | - |