对旅游电子商务的思考

旅游的生产经营和消费将会高度依靠信息资源,信息成为了旅游发展的重要影响因素。中国旅游现在已经引入国民消费为主的大众旅游发展的新阶段。旅游电子商务特别是OTF在线旅游预定是旅游产业中间应用最为广泛也是最为活跃的领域。     

旅游电子商务时代丽江旅游企业发展模式分析

丽江很多旅游企业即便建设了网站,但网站上也只是进行一些诸如景点、旅游路线、旅游知识等介绍性的描述,还没有充分利用电子商务在商家与顾客之间架起"直通桥",也不能提供全面的、专业的、实用的一整套的旅游服务,不能尽显网上旅游的无限魅力.     

E-commerce adoption of travel and tourism organisations in South Africa,Kenya, Zimbabwe and Uganda

Africa, with its great wealth in wildlife and unique resorts, can benefit from the ever increasing user population of the Internet, particularly in the USA and Western Europe where most of the tourists to Africa come from (Internet World Stats, 2004. World Internet Users and Population Stats. <http://www.internetworldstats.com/stats>.). A first survey was carried out to find the nature and extent of e-commerce adoption by tourism organisations from South Africa, Kenya, Zimbabwe and Uganda which are all popular tourist destinations in eastern and southern Africa. For comparison, a second survey of tourism organisations from USA and Western Europe was also carried out. A total of 373 websites from the four African countries and 180 from the USA and Western Europe were accessed and then evaluated against a list of e-commerce features. The surveys revealed that few of the African organisations are embracing e-commerce and that, although some websites were comparable to those of their western counterparts, the majority had room for considerable improvements. The African websites were found to be generally informative but lacked interactive facilities for online transactions. It is recommended that these African organisations evolve their websites into marketing tools to capitalise on the potential Internet market.     

Recommendations for e-commerce systems in the tourism industry of sub-Saharan Africa

The recommendations described in this paper are a continuation of research previously reported in the Telematics and Informatics journal. This paper explains how the tourism organisations from sub-Saharan Africa can evolve their websites into marketing tools and how they can overcome the impediments to e-commerce adoption and usage. The recommendations also explain how the other major players within the economies of these countries can make the environment conducive for e-commerce development and growth so that the tourism organisations from this region can break into the lucrative international tourism market. The recommendations were tested by sending them to the African organisations and experts in e-commerce and tourism who have worked in, or are currently based in Africa, south of the Sahara. The results showed most organisations and experts who responded think that these recommendations will help African tourism organisations adopt and use e-commerce. African tourism organisations that intend to implement or are in the process of implementing e-commerce systems should follow the recommendations outlined in this paper to help sub-Saharan Africa reach its tourism potential.     

学校旅游电子商务网站建设构想

充分分析了当今旅游电子商务发展现状，从旅游网站的功能、服务、定位、经营方式及竞争角度论述了以学校为特色的旅游电子商务网站的建设思路。     

Evaluation and Comparison Research on the Support of Websites to Enterprise's E-Commerce

This paper comparatively analyzes the existing evaluation index of websites, and puts forward the evaluation index and method about the support of a website to enterprise's e-commerce. Through researching on 56 super enterprises of information industry in Sichuan province, throughout China and the world, analyzing and comparatively studying the support ability of a website to an enterprise's e-commerce, this paper brings forward using five levels to categorize the support ability of a website to enterprise's e-commerce. In the end, the flaw of enterprise's e-commerce practice in Sichuan province and corresponding countermeasure will be illustrated.     

Hamilton模型在智慧文旅设计中的应用研究

旅游线路优化问题是旅行规划中一个重要课题,是旅游业发展到一定阶段的必然要求。对传统Hamilton算法进行优化改进,对云南省的5A级景点线路进行了优化。并将该算法设计成程序,便于游客的线路选择。研究结果发现:使用该方法对景点的经纬度数据进行一次分配,便可获最短的旅行线路。这种算法减少了线路选择的时间,操作更加简单,展示了定量研究方法在旅游线路优化设计中的应用潜力。     

中国旅游电子商务现状浅析与思考

随着社会及信息技术的快速发展,电子商务正以空前的速度涉入包括旅游业在内的诸多商务领域。本文就旅游电子商务的概念及分类进行简要介绍并对旅游电子商务的经营现状进行探索性总结分析,阐述了对旅游电子商务的理解和思考。结合国内电子商务平台建设模式及业界成熟应用的典范,对旅游酒店电子商务发展提出建议方案及设想。     

“互联网+”背景下高校电子商务专业开放式实训与就业能力分析

近年来随着电子信息技术的不断发展,我国电子商务的发展突飞猛进。在这个大数据环境下,为了使电子商务专业的学生更能满足社会需求,文章以安徽经济管理学院为例,探析了高校电子商务专业人才的就业能力。坚持产教融合、校企合作、开放式实训,在培养人才的同时,对于产出的人才是否具备企业所要求的就业能力,既能及时地了解市场对于人才的就业能力要求,也能够对于今后电子商务专业人才培养方案的修订提供理论基础。     

Hybrid Location-based Recommender System for Mobility and Travel Planning

In recent times, the modern developments of internet technologies and social networks have attracted global researchers to explore the recommender systems for generating personalized location-based services. Recommender Systems (RSs) as proven decision support tools have gained immense popularity to solve information overloading problem among various real-time applications of e-commerce, travel and tourism, movies and e-learning. RSs emerge as a popular and reliable information filtering approach that is capable of suggesting relevant items, movies, and locations to the active target user based on dynamic preferences and interests. Beyond the development of many feature-rich recommendation algorithms, the need for a better full-fledged RS to produce precise and highly relevant recommendations based on ratings and preferences provided by the target user is very high. With the specific focus to the travel domain, the global research community has been involved in the development of a complete travel recommender system that is immune to the sparsity and cold start problems. In this paper, we present a new Hybrid Location-based Travel Recommender System (HLTRS) through exploiting ensemble based co-training method with swarm intelligence algorithms to enhance the personalized travel recommendations. The proposed HLTRS is experimentally validated on the real-world large-scale dataset, and we have made an extensive user study to determine the ability of developed RS to produce user satisfiable recommendations in real-time scenarios. The obtained results and analyses demonstrate the improved performance of the proposed Hybrid Location-based Travel Recommender System over existing baselines of recommender systems research.