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How Many Tourists Next Weekend? : Conceptualizing AI-Based Forecasts For Visitor Management in Tourism

Title data

Keller, Robert ; Neubig, Stefan ; Rebholz, Dominik ; Schmücker, Dirk:
How Many Tourists Next Weekend? : Conceptualizing AI-Based Forecasts For Visitor Management in Tourism.
In: Marketing Review St. Gallen. Vol. 41 (2024) Issue 4 .
ISSN 1865-7516

Abstract in another language

Since the advent of the COVID crisis, crowding and the management of crowds have become increasingly important issues for destination managers. Although researchers have been discussing visitor management for a long time, widespread implementation has only started in 2020. Drawing on the findings of a research project in Germany, the authors conceptualize the role of data sources and forecast mechanisms for smart, data-driven destination management and the implementation of visitor management policies

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Smart destination management; AI based forecasts; Visitor Management
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence > Chair Business Informatics and Human-Centered Artificial Intelligence - Univ.-Prof. Dr.-Ing. Niklas Kühl
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 Aug 2024 10:35
Last Modified: 06 Dec 2024 08:29
URI: https://eref.uni-bayreuth.de/id/eprint/90201