Airbnb in the Local Neighbourhood: Innovaiton vs. Disruption

Airbnb in the Local Neighbourhood: Innovaiton vs. Disruption

Vipin Nadda, Markéta Pospíšilová
DOI: 10.4018/978-1-6684-6732-9.ch016
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Airbnb is a platform allowing a peer-to-peer accommodation option for people sharing their own extra space. As simple it sounds, there are many challenges behind its implementation. It is crucial to look at both sides of the coin to understand not only what it brings but what it causes as well. Airbnb is a comparatively new phenomenon of the modern times and changes the traditional tourist behaviour as well as accommodation situation in the market. Initially, the general perception was that Airbnb is not a threat to the traditional accommodation as it attracts completely new customers. It is a big part of sharing economy and brings both advantages and disadvantages. The sharing economy is a new dimension of economy, and the classic structure is rapidly changing. It is a sustainable form of service provision and contributes to inclusive destination development. On the other hand, as Airbnb lies in providing accommodation by non-commercial residents, there is an overall lack of control of whether the host is reliable and if it is secure.
Chapter Preview
Top

Use Of Robotics And Ai In Tourism And Hospitality Marketing

Artificial intelligence applications are stated as the most important technological innovation that came with the Industry 4.0 revolution (Bayuk and Demir, 2019: 781). Artificial intelligence; is a technology that has started to be used in the fields of business administration, medicine, automotive, and education. Artificial intelligence, which is the focus of attention of professional groups such as engineers, information technology experts, and analysts, has also started to be used in social sciences (Jarek and Mazurek, 2019: 47). Usage areas of artificial intelligence technologies; It is possible to summarize it as systems that think and act like humans, expert systems, natural language processing, robots, image processing, and machine learning (Adalı, 2017: 10-11). Artificial intelligence is defined as “human intelligence technology created with the help of computer programs” (Tsaih and Hsu, 2018: 127).

The use of artificial intelligence systems in solving large and complex problems of enterprises is one of the biggest advantages of analyzing data with the help of artificial intelligence and doing more work with less effort. By using this data, it is possible to offer appropriate products and services at the right time and in the right place. Such services will be effective in customers' decision to choose the business and purchase. Businesses that want to take advantage of these opportunities should use artificial intelligence technologies (Yeğin, 2020: 491-492). It is stated that artificial intelligence and robotic technology applications, which are also being used in the tourism and hospitality industry, can provide new opportunities for customers in the travel decision-making process, customer relations, purchasing decisions, payment systems, travel consultancy services such as artificial intelligence (Zlatanov and Popesku, 2019: 84). Artificial intelligence and robotic applications in the tourism and hospitality industry benefit from the detection of possible customer behaviors by making use of customer data (Bayuk and Demir, 2019: 781; Shahid and Li, 2019: 30-31).

It is stated that it is possible to provide uninterrupted instant services in tourism 24 hours a day, 7 days a week by using the natural language processing and feature identification functions of artificial intelligence. (Tsaih and Hsu, 2018: 127). Artificial intelligence and robotic applications in the tourism and hospitality sector; It is used in hotels, restaurants, and airports for cleaning rooms, delivering goods, carrying luggage, cooking, and cleaning (Ivanov, Webster, & Berezina, 2017; Devitt, 2019; Ibiş, 2019; Osawa et al., 2017; Ohlan, 2018; Trejos, 2016; Tuyed, 2016; Trejos, 2014; Yalçın Kayıkçı and Kutluk Bozkurt, 2018; Social Tables, 2019).

Complete Chapter List

Search this Book:
Reset