CityU’s Information Systems experts win international Best Paper Award
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Academics from the Department of Information Systems at City University of Hong Kong (CityU) have beaten a world-class field to secure the Best Paper Award at the 11th Pacific Asia Conference on Information Systems. The award marks a major achievement for CityU’s information systems experts.
The conference received more than 270 submissions from over 20 countries worldwide, of which only 114 full papers and 50 research-in-progress papers were accepted.
Dr Sia Choon-ling, Associate Professor in the Department of Information Systems, worked on the project alongside Ms Cindy Cheung Man-yee, Senior Research Assistant in the Department of Information Systems, and Professor Chen Huaping and Mr Luo Chuan of the University of Science and Technology of China.
The 11th Pacific Asia Conference on Information Systems, the premier information systems event in the Asia Pacific region, was held in Auckland, New Zealand from 3 July to 6 July and sponsored by the Association for Information Systems.
The Association provides a high-quality forum for researchers, practitioners and policy makers to exchange research findings and ideas on the adoption of leading information-related technologies and practices.
The award-winning paper was entitled "How do People Evaluate Electronic Word-Of-Mouth? Informational and Normative Based Determinants of Perceived Credibility of Online Consumer Recommendations in China".
"This study analyzes how readers respond to online consumer recommendations. We believe they use a set of evaluation criteria to judge the credibility of these recommendations and that the credibility of these recommendations will affect their purchasing decisions," Dr Sia said.
He added that the research confirmed that the source and the message of the traditional word-of-mouth recommendations were important.
"The study further extends the research on online consumer recommendations by gathering anonymous comments, and we have found that recommendation consistency and rating will affect the way readers judge the credibility of the recommendations," he said.