Trends that are changing travel and tourism

Author:

Bowen John,Whalen Elizabeth

Abstract

Purpose The purpose of the paper is to identify trends changing travel and tourism to help managers and researchers better understand these trends. This understanding will help organizations remain competitive in today’s dynamic environment. The rapid advance of technology is changing how consumers evaluate, use and discuss hospitality and tourism products. The common theme among the four trends in this paper is technology. The authors identified four trends related to technology and discuss the impact of these trends on hospitality and tourism. The paper provides implications for mangers and researchers. Design/methodology/approach The paper reviewed both academic and trade literature to provide an overview of trends that are changing travel and tourism. Findings The author identified four trends: technology with a focus on robotics and artificial intelligence, big data analytics, social media and online communities and the sharing economy. The findings provide valuable insights for practitioners and researchers. Originality/value This paper provides a current view of how the advances in technology have evolved into four separate trends that are effecting both management and consumers. The current implications of these four trends are discussed as well as implications for the future.

Publisher

Emerald

Subject

Management, Monitoring, Policy and Law,Tourism, Leisure and Hospitality Management,Development

Reference29 articles.

1. Comparing guests’ key attributes of peer-to-peer accommodations and hotels: mixed-methods approach;Current Issues in Tourism,2017

2. Boda, C. (2017), “Disney facing lawsuit over collecting and selling children’s personal information”, available at: www.wdwinfo.com/news-stories/disney-facing-lawsuit-over-collecting-and-selling-childrens-personal-information/ (accessed 4 August 2017).

3. Automation, robots and artificial intelligence: how will they shape industry?,2017

4. Virtual communities: a marketing perspective;Decision Support Systems,2009

5. Predicting internet-based online community size and time to peak membership using the bass model of new product growth;Interdisciplinary Journal of Information, Knowledge, and Management,2006

Cited by 71 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Systematic Review of Literature on the Use of Artificial Intelligence for Sustainable Tourism;Advances in Hospitality, Tourism, and the Services Industry;2024-08-16

2. Meal sharing economy: evaluation with SWOT analysis from host and local food tourists perspectives;Journal of Foodservice Business Research;2024-08-07

3. A Study on the Role of Digitalization in Regenerative Gastronomy Practices in Tourist Experiences;Advances in Hospitality, Tourism, and the Services Industry;2024-06-07

4. Cross-validating the measurement scale for consumers’ experience with hospitality and tourism technology: a multi-sector approach;International Journal of Contemporary Hospitality Management;2024-06-03

5. Macro-Environmental Dynamics Shaping Tourism and Hospitality;Advances in Hospitality, Tourism, and the Services Industry;2024-05-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3