What makes peer review helpfulness evaluation in online review communities? An empirical research based on persuasion effect Available to Purchase

Yani Wang is a PhD student of management information systems at the School of Economics and Management, Beihang University. Her research interests include knowledge collaboration in online communications, user-generated content and electronic commerce. She has been studying statistics since her undergraduation and has excellent data analysis capabilities.

Jun Wang is the professor of management information systems at the School of Economics and Management, Beihang University. He has also been working at the Key Laboratory of Complex System Analysis, Management and Decision (Beihang University) since 2018. His research focuses on knowledge collaboration, latent semantic analysis and user-generated content. He has published more than a dozen articles, including articles in Applied Soft Computing, Expert Systems with Applications, the Journal of Systems Engineering and Electronics and other academic journals.

Tang Yao is an associate professor of marketing at the School of Economics and Management, Beihang University. He has also been working at the Key Laboratory of Complex System Analysis, Management and Decision (Beihang University) since 2017. His research interests include emotions in online communications, user-generated content (e.g. online word of mouth, social media and crowdsourcing) and electronic commerce, with special interests in the meta-analysis. His work has been published in top journals of both home and abroad. Tang Yao is also the corresponding author and can be contacted at: yaot@buaa.edu.cn

Ming Li is professor of management information systems at the School of Economics and Management, China University of Petroleum, Beijing. His research interests include big data analysis and mining, knowledge management, e-commerce, social media and decision and evaluation. He has published more than a dozen articles in top academic journals. He proposed valuable suggestions and guidance about the revised manuscript.