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Tourism Industry must benefit from IT&C Hyperautomation

Author

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  • Vasile MAZILESCU

    (Dunarea de Jos University of Galati, Romania)

Abstract

The tourism industry is one of the most significant users of Internet technology, an important communication tool for travelers. The Internet influences travel behavior in a variety of ways and leads to fundamental changes in the structures of the tourism industry in the context of the new era of digital travel. The Covid19 pandemic has fundamentally changed the way we travel. It is essential in this context that companies in the hospitality sector digitize their business processes to survive in a global ecosystem. Digitalization and innovation are essential for the development of new business models, and there is a growing need for staff with well-defined digital skills. This fully applies to the tourism sector, companies in this industry must invest in staff, to provide opportunities for changing mentalities and work paradigms. This paper analyzes and emphasizes the urgent need to cultivate, understand, implement and use the capabilities of information technologies, which prove their economic and social potential in the field of tourism industry, through a complex process of hyper automation. Intelligent automation of tourism activities, along with increasing the recognition and processing capabilities of various forms of language or visuals, accompanied by a massive migration to the cloud, are just some of the current and future requirements for building smart and safe tourism.

Suggested Citation

  • Vasile MAZILESCU, 2021. "Tourism Industry must benefit from IT&C Hyperautomation," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 97-106.
  • Handle: RePEc:ddj:fseeai:y:2021:i:1:p:97-106
    DOI: 10.35219/eai15840409171
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    1. Ulrike Gretzel & Matthias Fuchs & Rodolfo Baggio & Wolfram Hoepken & Rob Law & Julia Neidhardt & Juho Pesonen & Markus Zanker & Zheng Xiang, 2020. "e-Tourism beyond COVID-19: a call for transformative research," Information Technology & Tourism, Springer, vol. 22(2), pages 187-203, June.
    2. Tobias Riasanow & Lea Jäntgen & Sebastian Hermes & Markus Böhm & Helmut Krcmar, 2021. "Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 89-104, March.
    3. Tussyadiah, Iis, 2020. "A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism," Annals of Tourism Research, Elsevier, vol. 81(C).
    4. Andreas Hein & Maximilian Schreieck & Tobias Riasanow & David Soto Setzke & Manuel Wiesche & Markus Böhm & Helmut Krcmar, 2020. "Digital platform ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 87-98, March.
    5. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    6. Mark Skilton & Felix Hovsepian, 2018. "The 4th Industrial Revolution," Springer Books, Springer, number 978-3-319-62479-2, January.
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