How social influence through information adoption from online review sites affects collective decision making

被引：31

作者：

Cho, Vincent ^{[1
]}

Chan, Desmond ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Management & Mkt, Hong Kong, Peoples R China

来源：

ENTERPRISE INFORMATION SYSTEMS | 2021年 / 15卷 / 10期

关键词：

Information adoption; online review sites; collective decision; Openrice; social influence theory; elaboration likelihood model; ELABORATION LIKELIHOOD MODEL; WORD-OF-MOUTH; TECHNOLOGY ACCEPTANCE; CONSUMERS DECISION; MODERATING ROLE; INNOVATIVENESS; COMMUNICATION; DETERMINANTS; CREDIBILITY; COMMUNITIES;

D O I：

10.1080/17517575.2019.1651398

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1562 / 1586

页数：25

共 55 条

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