基于信息不对称的酒店管理策略研究

信息不对称现象在市场经济中普遍存在,这种现象使得消费者在做出购买决策时缺乏信心,而酒店因其自身特点信息不对称现象尤为严重。在分析酒店信息不对称的原因与类型的基础上,从利用新技术、塑造品牌、加强营销、培训员工及建立有效反馈机制五个方面提出了改善酒店信息不对称的策略,使酒店更好地处理与其员工及消费者之间的关系,实现各方利益最大化。     

对我国高校文献检索课教学改革的几点建议

高校文献检索课是我国高校培养学生信息素养的重要阵地,其作用的发挥受到诸多因素的影响。为了确保我国的文献检索课能符合现今学生信息素养的培养要求,本文提出在对其进行改革的同时,对支撑其改革的影响因素也要彻底的改革。     

腐败问题研究的理论回顾及展望

现在很多企业从事多种产品的生产和销售,而产品种类之间义存在着地位差异。那么,产品负面信息对公司层的逆向作用究竟如何。旗舰产品的负面信息在产品之间的流通对非旗舰产品又会产生怎样的影响。文章通过实验分别从纵向（产品层-公司层）和横向（产品-产品）检验了产品负面信息的逆向作用。研究表明：公司评价受产品负面信息的显著影响;非旗舰产品的负面信息对旗舰产品也产生显著影响。     

我国应急信息系统及其管理架构

当前,突发事件应对已成为各级政府无法回避的重大课题。作为应急管理的稳压器、协调器和控制器,应急信息的有效传播和应用对突发事件的科学应对至关重要,而对我国应急信息系统及其管理架构尤其值得深入研究。     

农民工就业信息服务工具的设计

就业信息服务工具按内容可分为实物工具、政策工具和方法工具。目前公共就业服务机构所提供的农民工就业信息服务在方法、流程和标准上都存在设计缺陷,难以满足农民工日益增长的求职需要。采取整合设计的思路,细化就业信息服务流程、强化就业信息服务评估,完善就业信息服务内容、规范就业信息服务标准,是提升农民工就业服务水平的必由之路。     

一种基于孪生神经网络的深度异构网络嵌入算法

针对现有异构网络嵌入方法导致的捕获关系冗余和模糊的问题,提出了一种基于孪生神经网络的深度异构网络嵌入模型。首先,基于面向关系的深度嵌入(Relation-Oriented Deep Embedding,RODE)框架构建了异构网络嵌入模型,以区分同型节点和异型节点之间的关系;其次,将同型节点与异类节点之间的相似性近似到低维空间,通过构建多任务的孪生神经网络来实现节点之间结构和语义关系的深度嵌入;最后,选取四个数据集执行典型网络挖掘任务,并与其他六种算法进行实验对比分析。实验结果表明,保持相同类型节点之间的相似性有助于提高节点分类效率,且损失函数在提高异构网络嵌入质量方面具有良好的优越性;RODE模型能够有效提高稀疏网络的嵌入质量,且具有良好的稳定性和鲁棒性。     

绿色混凝土市场存在及发展因素分析

混凝土及其主要组分水泥生产部门的二氧化碳排放量占全球人工二氧化碳总排放量的5%左右。低环境污染的绿色混凝土市场成为解决经济与环境矛盾的重要方法。除了技术上的创新以外,信息经济学对于不对称信息的研究模型揭示了绿色水泥混凝土市场得以存在并发展的真正原因。由此,为该市场进一步的发展提供了值得借鉴的经济学手段。     

Technical Analysis as a Rational Tool of Decision Making for Professional Traders

The psychological background of technical analysis usage is investigated to further explain the popularity and common usage of technical analysis as an investment decision tool. Attitudes toward technical analysis of professional futures market traders and neophyte investors, represented by finance students, were examined. Technical analysis is one of the most popular methods supporting investment decisions and it is much more popular among future market traders than among neophyte investors. The concept of processing information was used to explain this phenomenon. Neophyte investors are more experiential and intuition-driven while using technical analysis models, while futures market traders are more rationally driven. Technical analysis methods help professional traders on futures markets, which are less transparent than regulated stock markets, to process information; those methods are perceived by them as rational, cognitive tools supporting their decision making.     

Fundamental disagreement

We document a novel set of facts about disagreement among professional forecasters: (1) forecasters disagree at all horizons, including the long run; (2) the term structure of disagreement is downward sloping for real output growth, relatively flat for inflation, and upward sloping for the federal funds rate; (3) disagreement is time varying at all horizons. We propose a generalized model of imperfect information that can jointly explain these facts. We further use the term structure of disagreement to show that the monetary policy rule perceived by professional forecasters features a high degree of interest-rate smoothing and time variation in the intercept.     

Effects of in-store information quality and store credibility on consumer engagement in green retailing

Literature has reported that store-level information is crucial in determining consumer engagement with green stores. This study examines the effects of in-store (green) information quality on consumer engagement behaviours and mediating effects of store credibility. Moreover, the study reveals whether consumer passion for the environment moderates the effect of in-store (green) information quality on store credibility. Statistical analyses of useable data from 763 respondents examined the relationships. Credibility emerged as a key mechanism to enhance the effects of information quality on consumer engagement. Thus, this study extends theoretical discussions on information quality, consumer passion, and consumer engagement for green retailing.