A model of tourism advertising effects

This study develops the AIEDA tourism advertising effects model and examines this model by tourism destination types and advertising formats in a field experiment. The AIEDA model extends the traditional AIDA model in the advertising field and additionally considers the unique features of tourism products. It includes five hierarchical stages: Attention→ Interest→Evaluation (Perceived Usefulness→ Perceived Credibility) → Desire →Action. Findings of experimental research indicate that destination type and advertising format have main effects and interaction effects on tourism advertising effects. In addition, this study discovered that, for natural and cultural destinations, video ads yielded similar or more positive advertising effects than virtual reality ads, whereas print was the least effective advertising format.     

Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.     

Virtual reality and mixed reality for second chance tourism

The deterioration of attractions, landmarks, artefacts and destinations is a critical issue facing tourism across the world. The closure of tourism sites and attractions is increasingly more common due to the difficulty and expense of managing preservation with onsite tourism engagement. However, the closure or destruction of tourism sites presents challenges for tourism development. The inability to foster meaningful visitor engagement at sites has implications for the local communities. This paper aims to explore the efficacy of creating tourism experiences in destinations and sites that have succumbed to over-tourism, resultant deterioration and even, destruction. To achieve this objective, the paper introduces the concept of second chance tourism and the role of innovative preservation methods such as virtual and mixed reality. Based on the proposed framework, the collation of data will provide indications on site preservation and impact mitigation via a second chance to reduce pressure on inherently fragile destinations.     

品牌共同体:企业与消费者沟通的新方式

品牌共同体是国外兴起的一种新型的企业与顾客互动的方式。品牌共同体的构建有助于增加顾客的社交利益，对于顾客间互动以及体会品牌的内涵意义重大。本文通过介绍品牌共同体的定义、特征、意义，从而向企业提出创建品牌共同体的建议。     

企业动态联盟合作策略选择

企业动态联盟作为一种高度灵活性的网络组织形式，能够对市场变化做出迅速的反应，使企业能够对付更多方面的竞争和挑战。然而，企业选择有效的合作策略是企业动态联盟的关键，应用博弈论的分析方法，引入时间贴现因子这一参数，对企业动态联盟中合作策略选择问题进行探讨。     

虚拟水及其在缓解区域水资源短缺中的应用研究

虚拟水是指生产商品和服务所需要的水资源数量。虚拟水战略是指贫水国家或地区通过贸易的方式从富水国家或地区购买水密集型农产品(粮食)来获得本地区水和粮食的安全。本文在综述前人对虚拟水研究的基础上,计算了2002年甘肃省及不同地区主要农产品虚拟水含量,并对甘肃省加强虚拟水贸易的战略进行了探讨。     

2017年北京社区卫生服务中心处方集中点评结果

目的汇总分析北京市16个区县近100家社区卫生服务中心处方抽样点评的结果,比较各区之间的差异,细化点评结果,促进全市合理用药。方法抽取2017年6月第2周,全门诊不包括草药处方,共计50189张处方,进行精细化集中点评。结果2017年北京16个区县社区卫生服务中心平均处方金额为160.07元,注射剂使用率为5.56%,全部基本药物占比为68.29%,处方的不合理率为8.8%。结论对于北京市社区卫生服务中心门诊处方集中点评最应改进的为统一点评标准,其次还应完善处方管理,强化药剂师自身的业务学习.     

论实业投资与虚拟投资的关系

企业投资按照性态可划分为实业投资和虚拟投资,二者对企业经济发展能够起到“双轨驱动”效应。为了有效发挥实业投资和虚拟投资对提高企业绩效的作用,笔者以实业投资和虚拟投资的内涵为研究的基点,对实业投资与虚拟投资的统一性、背离性关系进行了深入探讨,并提出了协调实业投资与虚拟投资关系的有效措施。     

Price discrimination and efficient matching

This paper considers the problem of a monopoly matchmaker that uses a schedule of entrance fees to sort different types of agents on the two sides of a matching market into exclusive meeting places, where agents randomly form pairwise matches. We make the standard assumption that the match value function exhibits complementarities, so that matching types at equal percentiles maximizes total match value and is efficient. We provide necessary conditions and sufficient conditions for the revenue-maximizing sorting to be efficient. These conditions require the match value function, modified to incorporate the incentive cost of eliciting private type information, to exhibit complementarities in types.JEL Clalssification Numbers C7, D4We thank Jonathan Levin, Tracy Lewis, and the seminar audience at University of California at Los Angeles, University of British Columbia, Duke University, and 2003 Econometric Society North American Summer Meeting for comments and suggestions. We are also grateful for helpful suggestions from the referees and the Editor