关于学院

【学术沙龙】第25期

发布日期:2019年07月29日


【时间】2019年7月30日(周二)上午09:00
【地点】商学院B416会议室
【嘉宾】
①翟绪军   东北林业大学管理学博士 哈尔滨工程大学博士后
主题:东北地区乡村振兴问题研究
概要:研究主要从我国乡村振兴战略的背景,问题的提出,东北地区乡村振兴问题的提出,东北地区乡村振兴的路径选择,以及未来东北地区乡村振兴的发展等五方面进行阐述。
②林宪政  高雄科技大学管理学博士
主题:What motivates health information exchange in social media? The roles of the social cognitive theory and perceived interactivity
摘要: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 healthinformation 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-manage
ment competence, and outcome expectation of social relationships have a signifificant impact on health information exchange behavior. The results also reveal that human-to-human interaction exerts a signifificant in- flfluence on the outcome expectation of health self-management competence and the outcome expectation of social relationships,
③廖文如  台湾暨南国际大学财务管理学博士
主题:Herding, Market Stress and Information Risk: Evidence from the Taiwan Futures Market
摘要: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).