Ultimate transformation: How will automation technologies disrupt the travel, tourism and hospitality industries?

被引:63
作者
Ivanov, Stanislav [1 ,2 ]
机构
[1] Varna Univ Management, Tourism, 13A Oborishte Str, Varna 9000, Bulgaria
[2] Varna Univ Management, Res, 13A Oborishte Str, Varna 9000, Bulgaria
来源
ZEITSCHRIFT FUR TOURISMUSWISSENSCHAFT | 2019年 / 11卷 / 01期
关键词
robots; artificial intelligence; service automation; self-service technology; chatbots; tourism; hospitality; transformation; SELF-SERVICE TECHNOLOGY; ARTIFICIAL NEURAL-NETWORK; BEHAVIORAL INTENTION; ONLINE REVIEWS; ROBOTS; DETERMINANTS; ATTITUDES; ADOPTION; KIOSKS;
D O I
10.1515/tw-2019-0003
中图分类号
F [经济];
学科分类号
02 ;
摘要
Companies from the travel, tourism and hospitality industry have started adopting robots, artificial intelligence and service automation technologies (RAISA) in their operations. Self-check-in kiosks, robotic pool cleaners, delivery robots, robot concierges, chatbots, etc., are used increasingly by tourism companies and transform the ways they create and deliver services. This paper investigates the impact of RAISA technologies on travel, tourism and hospitality companies - their operations, facilities design, marketing, supply chain management, human resource management, and financial management. The paper emphasises that in the future companies will divide into two large segments high-tech tourism companies offering standardized cheap robot-delivered services, and high-touch companies, which rely on human employees.
引用
收藏
页码:25 / 43
页数:19
相关论文
共 74 条
[1]  
Agrawal A., 2018, PREDICTION MACHINES
[2]   Consumer responses to interactive restaurant self-service technology (IRSST): The role of gadget-loving propensity [J].
Ahn, Jee Ahe ;
Seo, Soobin .
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2018, 74 :109-121
[3]  
[Anonymous], 2016, FORTUNE
[4]  
Azarmi S. L., 2017, Conference proceedings, 7th Advances in Hospitality & Tourism Marketing & Management (AHTMM) Conference, Famagusta, Cyprus, 10-15 July 2017, P539
[5]  
Benckendorff P. J., 2014, Tourism information technology, DOI 10.1079/9781780641850.0000
[6]  
Bhaumik A., 2018, From AI to robotics: mobile, social, and sentient robots, DOI DOI 10.1201/9781315372549
[7]   The impact of traveler-focused airport technology on traveler satisfaction [J].
Bogicevic, Vanja ;
Bujisic, Milos ;
Bilgihan, Anil ;
Yang, Wan ;
Cobanoglu, Cihan .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2017, 123 :351-361
[8]   Prediction of the Energy Demand of a Hotel Using an Artificial Intelligence-Based Model [J].
Casteleiro-Roca, Jose-Luis ;
Francisco Gomez-Gonzalez, Jose ;
Luis Calvo-Rolle, Jose ;
Jove, Esteban ;
Quintian, Hector ;
Acosta Martin, Juan Francisco ;
Gonzalez Perez, Sara ;
Gonzalez Diaz, Benjamin ;
Calero-Garcia, Francisco ;
Albino Mendez-Perez, Juan .
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2018), 2018, 10870 :586-596
[9]  
Chathoth P. K., 2007, International Journal of Hospitality Management, V26, P395, DOI 10.1016/j.ijhm.2006.03.004
[10]   The impact of using kiosk on enterprise systems in service industry [J].
Chen, Jengchung V. ;
Yen, David ;
Dunk, Kimberly ;
Widjaja, Andree E. .
ENTERPRISE INFORMATION SYSTEMS, 2015, 9 (08) :835-860