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http://hdl.handle.net/10397/93645
Title: | How social influence through information adoption from online review sites affects collective decision making | Authors: | Cho, V Chan, D |
Issue Date: | 2021 | Source: | Enterprise information systems, 2021, v. 15, no. 10, p. 1562-1586 | Abstract: | In this study, we explore the common phenomenon of using online review sites to acquire information for decision-making. Nowadays, online review sites such as Yelp in the US and OpenRice in Hong Kong, which provide effective platforms for consumers to share their post-purchase experiences, are getting popular. While we get into a collective decision such as dinner gathering, social influence will also play a role in the decision making process. Based on the elaboration likelihood model (ELM) and social influence theory (SIT), we develop a research model to investigate how participating in online review sites influences collective decisions. . | Keywords: | Collective decision Elaboration likelihood model Information adoption Online review sites Openrice Social influence theory |
Publisher: | Taylor & Francis | Journal: | Enterprise information systems | ISSN: | 1751-7575 | EISSN: | 1751-7583 | DOI: | 10.1080/17517575.2019.1651398 | Rights: | © 2019 Informa UK Limited, trading as Taylor & Francis Group This is an Accepted Manuscript of an article published by Taylor & Francis in Enterprise Information Systems on 8 Aug 2019 (Published online), available at: http://www.tandfonline.com/10.1080/17517575.2019.1651398. |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Cho_How_Social_Influence.pdf | Pre-Published version | 751.97 kB | Adobe PDF | View/Open |
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