中医药文化融入高等中医药院校意识形态工作探究

当前抓紧加强和改进高校意识形态工作具有极端重要性和现实紧迫性.中医药文化之意蕴与高校意识形态教育目标、内容价值相通,更与高校意识形态工作理念、方法内在相契.通过将中医药文化有机融入意识形态工作,进一步加强宣传阵地、实践阵地建设,协同发力,有助于实现高等中医药院校意识形态工作创新发展.     

The role of assessment centers in job satisfaction and organizational commitment: a case of the Korean government

While many studies have shown how assessment centers affect employees’ career success or job performance, these studies do not demonstrate how employees’ attitudes are affected by their perception of assessment centers. This study aims to investigate the influence of employees’ perception of assessment centers on their job satisfaction and organizational commitment, which are the key elements in predicting working behaviors, such as job performance, job involvement, and turnover intentions. To analyze the nature of the influence, 306 employees who had been evaluated by an assessment center in the Korean Rural Development Administration (KRDA) were surveyed. Regression analysis revealed that although there is no influence on their organizational commitment, employees with a positive perception of assessment centers experience higher levels of job satisfaction (p < .01). These results suggest that the positive perception of assessment centers affects the general feeling of organizational members about their work even though it does not affect their emotional attachment to the organization or dedication to organizational values. Thus, assessment centers can be used as a tool not only to select capable candidates but also to yield positive effects on organizational members’ job attitudes.     

网络直播购物情境下的拟剧化营销——基于抖音直播平台的分析与诠释

网络直播购物逐渐成为一种新的网络营销与消费方式。对于该模式的剖析,有助于对网络直播购物这一新兴事物进行全景化的解构与阐释,更好地理解与把握该模式的本质与趋势。本文基于第三方立场与视角,以戈夫曼拟剧理论为基础,锚定抖音平台为实践场景,尝试诠释拟剧理论在网络直播购物情境中的新变化、新形式、新内涵。研究选择Top100网络直播主播为分析对象,采用后台运营数据、页面数据爬虫、人工观察分析等多元数据采集与分析方法,对整个网络直播购物场景进行分析。研究发现,网络直播购物呈现出鲜明的拟剧化营销特质,各类要素间存在循环强化的运行机理,消费者的购物行为有着显著的集体偏好,且主体间的协同合作机制促进了消费的延续。该发现有助于对拟剧化营销运行机制、拟剧理论的新场景及网络直播购物这一新兴商业模式进行客观辩证的思考。     

归因偏差视角下旅游行为失范成因研究

游客旅游行为失范时有发生,威胁着旅游资源与环境安全。心理归因影响个体行为逻辑,归因偏差是解释心理归因的经典理论。本文引入归因偏差理论,采用实证方法探究旅游行为失范背后的归因偏差因素,为减少旅游行为失范提供心理学依据。研究发现,归因偏差能够引致旅游者心理认知偏差,后者直接引发和助推旅游行为失范。心理环境和群体心理对引致旅游者的心理认知偏差和行为失范具有显著作用,归因偏差成为旅游者弱化旅游行为失范结果的心理屏障,可激发或促进旅游行为失范的发生或持续。研究认为旅游地可从完善硬件监控、控制游客流量、强化失范行为负面教育、发挥在场监督作用等方式削弱归因偏差效应。     

EMPIRICAL PERFORMANCE OF GARCH MODELS WITH HEAVY‐TAILED INNOVATIONS

We introduce a new type of heavy‐tailed distribution, the normal reciprocal inverse Gaussian distribution (NRIG), to the GARCH and Glosten‐Jagannathan‐Runkle (1993) GARCH models, and compare its empirical performance with two other popular types of heavy‐tailed distribution, the Student's t distribution and the normal inverse Gaussian distribution (NIG), using a variety of asset return series. Our results illustrate that there is no overwhelmingly dominant distribution in fitting the data under the GARCH framework, although the NRIG distribution performs slightly better than the other two types of distribution. For market indexes series, it is important to introduce both GJR‐terms and the NRIG distribution to improve the models’ performance, but it is ambiguous for individual stock prices series. Our results also show the GJR‐GARCH NRIG model has practical advantages in quantitative risk management. Finally, the convergence of numerical solutions in maximum‐likelihood estimation of GARCH and GJR‐GARCH models with the three types of heavy‐tailed distribution is investigated.     

Information Entropy-Based Housing Spatiotemporal Dependence

The Journal of Real Estate Finance and Economics - In the existing housing literature, there has been no academic consensus on how to combine the spatial dependence and the temporal dependence...     

Further Mining the Predictability of Moving Averages: Evidence from the US Stock Market

Most studies on the predictability of moving average (MA) technical analysis use the discrete (buy/sell) trading recommendations. However, it is possibly incomplete or unreliable to explore the predictability of MA by only employing its generated trading signals. To further explore the forecastability of MA, we study its measurable impact on the stock market returns by using a conventional predictive regression framework. Our empirical study on the US stock market with respect to more detailed price information finds, (i) that the proposed predictor, MADP (MA based on daily prices) shows significant predictability in‐ and out‐of‐sample, and significantly outperforms the historical average (HA) benchmark as well as the MA based on monthly prices, (ii) that the predictability of MADP centers on the short‐term lags (within the most recent 10 days) and disappears when lags are beyond 20 days, and (iii) that the economic evaluation of the portfolios based on trading strategies confirms the superior performance of MADP with short‐term lags against the benchmark even though considering transaction costs.     

服务营销:3G时代企业致胜的法宝

随着3G时代的到来,电信企业之间的竞争将更加激烈.电信企业要想在激烈的竞争环境中立足,拥有自己的市场,必须以服务营销为战略研究重点,建立以用户为中心的服务营销体制,建立包括企业利润、企业的成长性,用户忠诚、用户满意、提供给用户的产品与服务的价值,员工能力、满意、忠诚及效率在内的电信服务利润链.