scholarly journals Rise of the Sharing Economy and the Future of Travel and Tourism Industry

Author(s):  
Jeff Hong
Author(s):  
Dr Simon Hudson

Most experts would agree that recovery from the COVID-19 crisis will be slow (see Figure 6.2), in large part due to the impact that the crisis has had on the global travel and tourism industry (Romei, 2020). Until there is vaccine, the virus will influence nearly every sector of travel from transportation, destination and resorts, to the accommodations, attractions, events and restaurants. The first section of this chapter looks at the future for these different sectors, a future heavily influenced by technology and a heightened emphasis on health and safety. The second part of the chapter focuses on a theme that has been prevalent in this book – the need for adaptability or ‘COVID-aptability’. Consumer demands and behavior will be permanently altered by the pandemic, and all stakeholders in the travel industry will need to adapt. One part of adaptability is redesigning servicescapes – a necessity for many after the lockdown, and this is the subject of the penultimate section of the chapter. The conclusion looks at lessons learned from this crisis.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Sandhya H

The Covid 19 pandemic has impacted the world and almost brought the entire world to a complete standstill. Most of the industries have been affected adversely as countries across the world went on lockdowns and imposed restrictions on travel, trade, and businesses. The tourism, Aviation, and Hospitality industry are among the few that have been most affected due to the pandemic, as pleasure travel had almost ceased to zero and many countries worldwide had closed their borders restricting international tourists. In order to survive this, the travel industry players had to cut down their employees and their pay. Many tourism professionals have lost their jobs or have their jobs at stake. This paper focuses on analyzing the overall impacts of the pandemic on the travel and tourism industry of India. The study aims at understanding the challenges faced by the different players in the tourism industry to survive the pandemic. The study also sheds light on the opportunities that await in the future on a post-Covid scenario and some of the methods adopted by the industry players to manage the future demand in the most sustainable and safe manner. The paper is conceptual and purely based on literature reviews of various research papers focusing on the Covid pandemic on a global scale. 


Author(s):  
Carey Goh ◽  
Henry M.K. Mok ◽  
Rob Law

The tourism industry has become one of the fastest growing industries in the world, with international tourism flows in year 2006 more than doubled since 1980. In terms of direct economic benefits, United Nations World Tourism Organization (UNWTO, 2007) estimated that the industry has generated US $735 billion through tourism in the year of 2006. Through multiplier effects, World Travel and Tourism Council (WTTC, 2007) estimated that tourism will generate economic activities worth of approximately US $5,390 billion in year 2007 (10.4% of world GDP). Owing to the important economic contribution by the tourism industry, researchers, policy makers, planners, and industrial practitioners have been trying to analyze and forecast tourism demand. The perishable nature of tourism products and services, the information-intensive nature of the tourism industry, and the long lead-time investment planning of equipment and infrastructures all render accurate forecasting of tourism demand necessary (Law, Mok, & Goh, 2007). Past studies have predominantly applied the well-developed econometric techniques to measure and predict the future market performance in terms of the number of tourist arrivals in a specific destination. In this chapter, we aim to present an overview of studies that have adopted artificial intelligence (AI) data-mining techniques in studying tourism demand forecasting. Our objective is to review and trace the evolution of such techniques employed in tourism demand studies since 1999, and based on our observations from the review, a discussion on the future direction of tourism research techniques and methods is then provided. Although the adoption of data mining techniques in tourism demand forecasting is still at its infancy stage, from the review, we identify certain research gaps, draw certain key observations, and discuss possible future research directions.


2021 ◽  
pp. 004728752110626
Author(s):  
Endrit Kromidha ◽  
Martin Gannon ◽  
Babak Taheri

Authenticity in travel and tourism research is often explored at the tangible-existential nexus. However, the collaborative forces embedded within digital sharing economy platforms draw attention to how the promise of social exchange can stimulate authentic consumption. The role of tour guides has evolved accordingly, from professional designation to self-acquired identity enacted ad-hoc. This study therefore applies a deductive-inductive approach—investigating over 100,000 tour guide profiles on the digital sharing economy platform showaround.com —to frame authenticity as the diverse manifestation of promised social exchanges. Combining automated qualitative analysis for large datasets with manual inductive reasoning, the findings identify four types of authenticity demonstrated within sharing economy tour guide profiles: situational, natural, personal, and positional. Doing so extends established understanding of tangible-existential and sincere-trustworthy tourism industry authenticity by capturing social exchanges in dynamic contexts; acknowledging the diverse nature of the promise of authentic tourism service delivery and consumption therein.


2020 ◽  
Vol 65 (3) ◽  
pp. 7-29
Author(s):  
Emanuel Emil Săvan ◽  
Oana Ruxandra Bode ◽  
Marina Gori

"The COVID-19 pandemic and the restrictions on travel established as a response to it, have a serious impact on Travel and Tourism industry. The global health crisis shut down hotels, restaurants and cafes, and many other additional businesses; it has grounded airplanes and greatly affected the Travel and Tourism industry. The aim of this paper is threefold. Firstly, it analyzes and underlines the development, size and dynamics of the Travel and Tourism industry compared to other industries which have a comparable presence worldwide. Secondly, it concisely examines this industry’s direct, indirect and induced contribution to GDP and to employment worldwide, during 2010-2019. Finally, it highlights the prospects for the development of tourism in the future, taking into account the pandemic that we face globally. Moreover, this paper highlights the positive impact this industry had upon the economic growth worldwide in the last years, and the fact that we should not disregard its relevance, as it represents an important global economic engine. Keywords: Travel and Tourism Industry, GDP, employment, COVID-19 pandemic. JEL classification: Z32, O18, L83 "


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Sandhya H

The Covid 19 pandemic has impacted the world and almost brought the entire world to a complete standstill. Most of the industries have been affected adversely as countries across the world went on lockdowns and imposed restrictions on travel, trade, and businesses. The tourism, Aviation, and Hospitality industry are among the few that have been most affected due to the pandemic, as pleasure travel had almost ceased to zero and many countries worldwide had closed their borders restricting international tourists. In order to survive this, the travel industry players had to cut down their employees and their pay. Many tourism professionals have lost their jobs or have their jobs at stake. This paper focuses on analyzing the overall impacts of the pandemic on the travel and tourism industry of India. The study aims at understanding the challenges faced by the different players in the tourism industry to survive the pandemic. The study also sheds light on the opportunities that await in the future on a post-Covid scenario and some of the methods adopted by the industry players to manage the future demand in the most sustainable and safe manner. The paper is conceptual and purely based on literature reviews of various research papers focusing on the Covid pandemic on a global scale. 


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