【Academic Salon】No.25

LocationB401 Conference Room, Newhuadu Business School


  1. Dr. Xujun Zhai

Doctor of Management, Northeast Forestry University

Postdoctoral scholar, Harbin Engineering University

Theme: Research on the development issues of rural areas in Northeast China

Abstract: This research mainly elaborates on five aspects to describe, which is includes the background and issues of developing strategies of Chinese rural areas. The issues of rural development in Northeast China is put forward, the path choice of rural revitalization in Northeast China, and the future expansion

Dr. Xianzheng Lin

Doctor of management, National Kaohsiung University of Science and Techno

Theme: What motivates health information exchange in social media? The roles of the social cognitive theory and perceived interactivity 

Abstract: Social media has become an attractive platform for users to exchange health information with others. However, little research has been done to identify the determinants of health information exchange. By integrating aspects of the social cognitive theory and perceived interactivity, this study proposes a research model to investigate the antecedents of health information exchange in social media. Data collected from Facebook users with health information exchange experience were used to examine the proposed model. The results demonstrate that human-to-human interaction, human-to-information interaction, outcome expectation of health self-management competence, and outcome expectation of social relationships have a significant impact on health information exchange behavior. The results also reveal that human-to-human interaction exerts a significant in- affluence on the outcome expectation of health self-management competence and the outcome expectation of social relationships

Dr. Wenru Liao

Doctor of Management, National Chi Nan University

Theme: Herding, Market Stress and Information Risk: Evidence from the Taiwan Futures Market

Abstract: This paper studies herding within different groups of traders, including domestic institutional investors, foreign institutional investors, and individual investors in the Taiwan Futures Exchange (TAIFEX), based on the account-level trade-by-trade data. According to the approach of Lakonishok, Shleifer and Vishny (1992a) and Wermers (1999), we use the modified measure of herding proposed by Venezia, Nashikkar, and Shapira (2011) to examine how herding behavior is affected by market states, information risk, basis, returns, liquidity, volatility, and the probability of informed trading (PIN).