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- Publisher Website: 10.1016/j.dss.2012.11.005
- Scopus: eid_2-s2.0-84889099672
- WOS: WOS:000329005000048
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Article: Store survival in online marketplace: An empirical investigation
Title | Store survival in online marketplace: An empirical investigation |
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Authors | |
Keywords | Social commerce Online stores Online sellers, social network Survival analysis Empirical study |
Issue Date | 2013 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dss |
Citation | Decision Support Systems, 2013, v. 56, p. 482-493 How to Cite? |
Abstract | In the past, many studies on business survival have been conducted but very few have explained the survival of online stores operating in the “long tail” market. To address this paucity, this study proposes a theoretical model, hypothesizing that online social networks, structural assurance, and online word-of-mouth (WOM) affect online store survival. An empirical study on 5772 online stores in two industries was conducted to validate the model. For social network factors, socialization efforts in SNS (social network site) personal space and online discussion forums were not found to be related to store survival. Structural assurance, as operationalized by the status of abiding by the “faithful description” consumer rights safeguarding program, has a significant impact on store life span. Furthermore, positive WOM, manifested as consistent DSR (Detailed Seller Rating) evaluations, was found to contribute to store survival. However, another WOM indicator, average DSR ratings, was found to be negatively related to store survival. In general, these results confirm some of our earlier hypotheses, while revealing some discrepancies from the theoretical predictions. Theoretical and practical implications on store survival in online environments are also discussed. |
Persistent Identifier | http://hdl.handle.net/10722/201024 |
ISSN | 2023 Impact Factor: 6.7 2023 SCImago Journal Rankings: 2.211 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, Y | - |
dc.contributor.author | Wang, S | - |
dc.contributor.author | Fang, Y | - |
dc.contributor.author | Chau, PYK | - |
dc.date.accessioned | 2014-08-21T07:10:17Z | - |
dc.date.available | 2014-08-21T07:10:17Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Decision Support Systems, 2013, v. 56, p. 482-493 | - |
dc.identifier.issn | 0167-9236 | - |
dc.identifier.uri | http://hdl.handle.net/10722/201024 | - |
dc.description.abstract | In the past, many studies on business survival have been conducted but very few have explained the survival of online stores operating in the “long tail” market. To address this paucity, this study proposes a theoretical model, hypothesizing that online social networks, structural assurance, and online word-of-mouth (WOM) affect online store survival. An empirical study on 5772 online stores in two industries was conducted to validate the model. For social network factors, socialization efforts in SNS (social network site) personal space and online discussion forums were not found to be related to store survival. Structural assurance, as operationalized by the status of abiding by the “faithful description” consumer rights safeguarding program, has a significant impact on store life span. Furthermore, positive WOM, manifested as consistent DSR (Detailed Seller Rating) evaluations, was found to contribute to store survival. However, another WOM indicator, average DSR ratings, was found to be negatively related to store survival. In general, these results confirm some of our earlier hypotheses, while revealing some discrepancies from the theoretical predictions. Theoretical and practical implications on store survival in online environments are also discussed. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dss | - |
dc.relation.ispartof | Decision Support Systems | - |
dc.subject | Social commerce | - |
dc.subject | Online stores | - |
dc.subject | Online sellers, social network | - |
dc.subject | Survival analysis | - |
dc.subject | Empirical study | - |
dc.title | Store survival in online marketplace: An empirical investigation | - |
dc.type | Article | - |
dc.identifier.email | Fang, Y: ylfang@hku.hk | - |
dc.identifier.email | Chau, PYK: pchau@business.hku.hk | - |
dc.identifier.authority | Fang, Y=rp02889 | - |
dc.identifier.authority | Chau, PYK=rp01052 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.dss.2012.11.005 | - |
dc.identifier.scopus | eid_2-s2.0-84889099672 | - |
dc.identifier.hkuros | 233801 | - |
dc.identifier.volume | 56 | - |
dc.identifier.spage | 482 | - |
dc.identifier.epage | 493 | - |
dc.identifier.isi | WOS:000329005000048 | - |
dc.publisher.place | Netherlands | - |