EDI and the Internet in the E-Business Era

This article presents cost effective guidelines to assist hotels of all sizes with the usage of electronic data interchange (EDI) in the Internet e-business era. The evolution of web-based EDI makes it easier for hotels of all sizes to support their business processes with traditional EDI technology, but without the extensive capital outlay in computer hardware and software. This is an attempt to encourage investment in basic EDI technologies before implementing more sophisticated applications. The focus is to allow hotels of all sizes to improve their competitive advantage with successive EDI technological advances.     

Accessing Tourists’ Unconscious Associations about International Destinations: Data Fuzzification of Reaction Times in the Implicit Association Test

Starting with the proposition that shorter reaction time implies stronger implicit preference, this study assesses destination-related top-of-mind awareness (TOMA) by examining respondent reaction time to specific destination icons. A total 87 college students were recruited to complete self-report surveys and computer-based implicit association tests (IAT). The results show that participants’ responses vary depending on the two measures (i.e., self-report surveys and IATs). Through a data fuzzification method, the study demonstrates that the IAT would enhance our understanding of tourist TOMA, particularly related to familiarity issues. The implications of the study pertain to destination marketing are fully discussed.     

Immigration and international inbound tourism: Empirical evidence from Australia

Immigration can potentially influence tourism flows. However, in spite of the vast number of studies on tourism demand modelling, the immigration-tourism linkage has not received much attention in the empirical literature. This paper seeks to address this gap. A dynamic demand model is developed and estimated using data from 1980 to 2008 for the 15 main markets of Australia. The explanatory variables included are income, own price, price of a substitute destination, airfare and immigration. The estimation results empirically establish the connection between immigration and inbound tourism. The short run and long-run immigration elasticities generated are 0.028 and 0.09 respectively. Additionally this paper demonstrates that omission of prices of substitutes affects the value of the own price elasticity of demand. The results have implications for future research and for stakeholders who can improve the efficiency of their planning exercises by taking into account additional information on immigration trends.     

A performance evaluation model for international tourist hotels in Taiwan—An application of the relational network DEA

This research utilizes relational network data envelopment analysis to construct a model to analyze the efficiency and effectiveness of international tourist hotels (ITHs) in Taiwan. The different production processes within the hotel are evaluated, as well as the relationships between efficiency, effectiveness, and overall performance. Finally, based on the results, we recommend ways of enhancing the overall performance of the hotel industry in Taiwan.     

中国旅游地理研究：成果应用转化和研究技术革新

旅游的产业属性决定了旅游地理研究的实践性,在服务国家战略和产业实践需求的过程中,中国旅游地理学科呈现出研究领域、方法和应用的新特征。本文围绕旅游规划、旅游资源、旅游大数据和旅游实验方法等进行总结与展望,认为：（1）旅游规划是透视旅游地理研究发展的重要视角,旅游规划的知识域主要包括旅游开发战略与对策、旅游业与旅游企业、乡村旅游与乡村振兴等12个方面;（2）新时代文化和旅游资源普查面临文旅资源保护和整合利用的重大现实需求,为旅游地理研究带来了文旅资源的内涵与分类评价、普查信息集成与应用、普查技术与组织方式等新命题;（3）大数据背景下要求旅游地理探寻新科学问题,重点要关注大数据旅游统计测量模型和指标规则的规范,数据伦理与信息茧房,大数据旅游现象的地理效应和相关空间格局等研究;（4）实验研究方法在认识论层面从描述走向解释预测,在方法论层面从调查走向直接测量,为认识和理解旅游情境下人地关系的核心科学问题提供了“科学化”的研究路径。因此,面对新时代战略要求和旅游业发展趋势,旅游地理学应加强产业实践、研究方法和学科交叉研究,提升学科服务国家战略和社会经济发展的支撑能力。     

浅谈大数据在装备保障中的应用

近两年,大数据在各行业中的应用层出不穷。在今年召开的"两会"上,有关大数据的提案如"井喷",尤其是民建中央的提案直言应将大数据发展上升为国家战略。在国家如此重视大数据应用的情况下,军事领域的应用也将成为必然趋势。在此针对大数据应用于装备保障领域提出一些个人观点,希望对大数据技术在军事上的应用提供一些参考。     

基于MAPGIS土地利用数据库的数据变更技术方法

土地利用数据的现势性和准确性是土地科学管理的关键，在县(市)级土地利用数据库的建设和日常使用维护中，数据变更工作非常重要。阐述在MAPGIS土地利用数据库管理系统下数据变更的解决方案及土地利用变更数据的外业调绘、制作变更图、数据采集、变更处理等技术方法。     

Awareness as a foundation for developing effective spatial data infrastructures

The development of an effective spatial data infrastructure (SDI) often occurs in a fragmented organizational environment requiring a high level of inter-organizational collaboration. Different organizations from various jurisdictions need to work together closely when agreeing on how they will jointly register, store, use and share data and how they will make their data available to the wider society. However, this collaboration is generally regarded as very difficult. For example people often resist data sharing across organizational boundaries due to loss of control, power and independency. Organizational issues are thus considered one of the fundamental constraints to inter-organizational sharing of spatial data.     

Security: The Virtual Quest

ABSTRACT

Security and related contingency recovery plans ensure a business' survival when it is faced with potential information systems breakdowns. Its primary objective is to prevent a calamity from occurring and to limit the impact of destructive events related to computer-based information systems. Most disaster recovery plans, when put into effect, fail to serve the intended purpose. The value of a properly implemented security is to prevent external intrusions before they start, and have an internal recovery plan to restore service so that assets are not adversely affected.

This paper provides some insight regarding security as well as identifying some of the pitfalls or weakness in this part of an organization's communication network. Emerging technologies such as the use of biometrics, authentications, steganography, and data encryption used for security will be the focus of the paper.     

Maximum Likelihood Estimation of a General Unbalanced Spatial Random Effects Model: a Monte Carlo Study

Abstract

This paper discusses the maximum likelihood estimator of a general unbalanced spatial random effects model with normal disturbances, assuming that some observations are missing at random. Monte Carlo simulations show that the maximum likelihood estimator for unbalanced panels performs well and that missing observations affect mainly the root mean square error. As expected, these estimates are less efficient than those based on the unobserved balanced model, especially if the share of missing observations is large or spatial autocorrelation in the error terms is pronounced.

Estimation de vraisemblance maximale d'un modèle général d'effets aléatoires spatiaux déséquilibré: une étude Monte Carlo

RÉSUMÉ La présente communication se penche sur l'estimateur du maximum de vraisemblance d'un modèle général d'effets aléatoires spatiaux déséquilibré avec des perturbations normales, en supposant l'absence aléatoire de certaines observations. Des simulations de Monte Carlo montrent que des groupes déséquilibrés se comporte bien, et que les observations manquantes affectent principalement l'erreur de la moyenne quadratique. Comme prévu, ces évaluations sont moins efficaces que celles qui sont basées sur le modèle équilibré non observé, notamment si la part des observations manquantes est importantes, ou l'on déclare une autocorrélation spatiale dans les termes d'erreur.

Estimación de la probabilidad máxima de un modelo espacial general desequilibrado de efectos al azar: un estudio de Monte Carlo

RÉSUMÉN Este trabajo discute el estimador de probabilidad máxima de un modelo espacial general desequilibrado de efectos al azar con alteraciones normales, suponiendo que faltan algunas observaciones al azar. Las simulaciones de Monte Carlo muestran que el estimador de probabilidad máxima para los paneles desequilibrados funciona satisfactoriamente, y que las observaciones omisas afectan principalmente al error de la media cuadrática. Como se suponía, estas estimaciones son menos eficientes que las basadas en el modelo equilibrado inadvertido, especialmente si la cantidad de omisiones es grande/o la autocorrelación en los términos de error es pronunciada.