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.     

A destination imagery processing model: Structural differences between dream and favourite destinations

The present paper aims at understanding how destination imagery is processed in tourists’ working memory. The research focuses on two highly desirable, but contrasting, destination brand categories: Favourite Destination, which involves retrospective memory of positive experiences in situ; and Dream Destination, based on tourists’ prospective memory. Through an online multilingual survey, 23,446 responses consisting of perceptions, evoked by way of free-recall, associated to Dream and Favourite Destinations, were collected. Findings point to clear structural differences between the imagery of Dream and Favourite Destinations. Additionally, a theoretical destination imagery model that offers a basis for future studies is proposed, and some managerial implications of significant relevance to destination marketing are discussed.     

Financial reporting consequences of natural disasters: Evidence from the impact of resource constraints at audit offices on non-affected clients

Disaster-affected clients demand significant additional effort from their audit office, and hence strain the audit office’s resources available to other non-disaster-affected clients. We consider audit offices with disaster-affected clients to be strained offices and find that, compared with clients audited by non-strained audit offices, non-disaster-affected clients audited by strained audit offices are more likely to have their financial statements restated. This result suggests the financial reporting quality of companies not directly exposed to disasters could also be negatively affected by the disasters, due to their auditors’ strained-resource issue. We further find such a negative effect is more pronounced when the degree of resource constraints is greater and when the audit office lacks client experience or industry expertise. We offer novel evidence of financial reporting consequences of natural disasters, focusing on the externality of disasters on companies not directly affected by disasters. The findings have important implications for regulators in making disaster-related policies, for auditors in managing their client portfolios, and for companies in making auditor choice decisions.     

民族旅游地国内游客行为研究及其应用--以广西龙胜各族自治县为例

文章以龙胜国内游客行为研究为例对民族旅游地国内游客行为进行研究，通过大量的文案调研和问卷调研，重点分析了龙胜国内游客的人口统计学特征、需求与消费行为、游客的时空分布。在对游客行为的影响因素进行研究的同时，探讨了游客行为研究在市场导向型旅游规划产品设计中的应用。     

广西旅游形象的实证研究

旅游形象调查技术在旅游形象策划中起着重要的作用，它是旅游形象策划的定性分析的基础。在对广西旅游形象进行了实地问卷调查的基础上，对调查结果进行了科学地分析和总结，是进一步进行广西旅游形象策划依据的实证基础。     

生物农药——21世纪农药的生力军

生物农药是人们减少污染、回归自然的一个必然选择。与化学农药相比,生物农药具有无可比拟的优越性,在农作物病虫害的防治和清除杂草方面,生物农药的应用前景广阔。介绍了生物农药的种类(植物源农药,微生物农药,生物体农药),独特的作用机理和在可持续发展中的地位,并展望了它的发展前景。     

Determinants hindering the intention of tourists to visit disaster-hit destinations

The purpose of this study is to propose and examine a new research model that is able to capture both the cognitive and affective components influencing potential tourists' behavioural intentions to visit a disaster-hit destination, which have negatively affected their perceived destination image. A survey of 357 participants provides strong support for the model. The results indicate that participants' perceptions of destination image are a strong predictor of their travel intentions. Factors relating to cognitive appraisals (e.g. perceived equipment risk, perceived natural risk and perceived social risk) as well as affective evaluations (e.g. perceived fear of ghosts, perceived unpleasantness, etc.) were found to be critical components that significantly, and negatively, influence potential tourists' perceptions of a destination image. Theoretical and practical implications of the results are discussed herein.     

Destination image,on-site experience and behavioural intentions: path analytic validation of a marketing model on domestic tourists

Despite its contribution to the national economy, domestic tourism is one of the most neglected and under-researched forms of tourism in the literature. This study tested an integrated path model examining the interrelationships between destination image, perceived quality, satisfaction and behavioural intentions, using domestic tourists who visited Eilat, Israel. The findings support the hierarchical relationships between image, quality, satisfaction and behavioural intentions. In addition, the affective image component was found to exert a far greater impact on the overall destination image than the cognitive component. The study establishes a better understanding of domestic tourists’ destination image and behavioural intention formulation. It also provides a number of implications for destination managers targeting the voluminous domestic segment.     

Integrating uncertain user-generated demand data when locating facilities for disaster response commodity distribution

This paper presents a new facility location problem variant with application in disaster relief. The problem is unique in that both verified data and unverified user-generated data are available for consideration during decision making. The problem is motivated by the recent need of integrating unverified social data (e.g., Twitter posts) with data from more traditional sources, such as on-the-ground assessments and aerial flyovers, to make optimal decisions during disaster relief. Integrating social data can enable identifying larger numbers of needs in shorter amounts of time, but because the information is unverified, some of it may be inaccurate. This paper seeks to provide a “proof of concept” illustrating how the unverified social data may be exploited. To do so, a framework for incorporating uncertain user-generated data when locating Points of Distribution (PODs) for disaster relief is presented. Then, three decision strategies that differ in how the uncertain data is considered are defined. Finally, the framework and decision strategies are demonstrated via a small computational study to illustrate the benefits user-generated data may afford across a variety of disaster scenarios.     

Restoring tourist confidence and travel intentions after disasters: some insights from a rejoinder to a series of unfortunate events in Malaysian tourism

Many countries face a decline in tourist confidence and reduced travel intentions after disasters. However, Malaysia – a country that experienced a series of aviation tragedies throughout 2014 – encountered an overall increase in inbound tourists and monetary receipts. This article more closely examines the effects of these unfortunate events on Malaysian tourism and identifies several strategic avenues that can contribute to restoring tourist confidence and reigniting tourist interest in travelling to disaster-stricken countries.