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Prof. Dr. Katerina Volchek, Ph.D., M.Sc, BA

Professorin

Member of the Board and Director for Marketing at the International Federation for IT and Travel & Tourism

EC 2.07

0991/3615-8880


Sortierung:
Beitrag in Sammelwerk/Tagungsband
  • Katerina Volchek
  • H. Song
  • R. Law
  • D. Buhalis

Forecasting London Museum Visitors Using Google Trends Data.

(2018)

Zeitschriftenartikel
  • Katerina Volchek
  • R. Law
  • D. Buhalis
  • H. Song

The Good, the bad, and the ugly: Tourist perceptions on interactions with personalised content.

In: e-Review of Tourism Research (vol. 16) , pg. 62-67

(2019)

Personalisation is a critical factor in superior customer experience and retention. It is also observed to be acause ofuserfrustration. This paper challenges the assumption that accurate content personalisation always positively affects tourist perceptions on the usefulness and ease of use of the information systems. The study integrates the logic of technology acceptance and the process of human motivation to explain personalised recommender system acceptance. In-depthsemi-structuredinterviews with tourists, industry practitioners, and academic experts were used in research. The findings illustrate that the characteristics of personalised content have double and, sometimes, ambivalent influence on tourist perceptions on system performance. A comprehensive strategy is required to optimise the potential of personalisation. This study expands the understanding of tourist interactions with personalised content and calls for further exploration of the effects of information system components on user experience.
Zeitschriftenartikel
  • Katerina Volchek
  • A. Liu
  • H. Song
  • D. Buhalis

Forecasting tourist arrivals at attractions: Search engine empowered methodologies.

In: Tourism Economics (vol. 25) , pg. 425-447

(2019)

DOI: 10.1177/1354816618811558

Tourist decision to visit attractions is a complex process influenced by multiple factors of individual context. This study investigates how the accuracy of tourism demand forecasting can be improved at the micro level. The number of visits to five London museums is forecast and the predictive powers of Naïve I, seasonal Naïve, seasonal autoregressive moving average, seasonal autoregressive moving average with explanatory variables, SARMAX-mixed frequency data sampling and artificial neural network models are compared. The empirical findings extend understanding of different types of data and forecasting algorithms to the level of specific attractions. Introducing the Google Trends index on pure time-series models enhances the forecasts of the volume of arrivals to attractions. However, none of the applied models outperforms the others in all situations. Different models’ forecasting accuracy varies for short- and long-term demand predictions. The application of higher frequency search query data allows for the generation of weekly predictions, which are essential for attraction- and destination-level planning.
Zeitschriftenartikel
  • D. Buhalis
  • Katerina Volchek

Bridging marketing theory and big data analytics: The taxonomy of marketing attribution.

In: International Journal of Information Management (vol. 55)

(2020)

DOI: 10.1016/j.ijinfomgt.2020.102253

The integration of technology in business strategy increases the complexity of marketing communications and urges the need for advanced marketing performance analytics. Rapid advancements in marketing attribution methods created gaps in the systematic description of the methods and explanation of their capabilities. This paper contrasts theoretically elaborated facilitators and the capabilities of data-driven analytics against the empirically identified classes of marketing attribution. It proposes a novel taxonomy, which serves as a tool for systematic naming and describing marketing attribution methods. The findings allow to reflect on the contemporary attribution methods’ capabilities to account for the specifics of the customer journey, thereby, creating currently lacking theoretical backbone for advancing the accuracy of value attribution.
Zeitschriftenartikel
  • Katerina Volchek
  • R. Law
  • D. Buhalis
  • H. Song

Exploring Ways to Improve Personalisation: The Influence of Tourist Context on Service Perception.

In: e-Review of Tourism Research (vol. 17) , pg. 1-16

(2020)

The heterogeneity and dynamic nature of tourist needs requires an advanced understanding of their context. This study aims to investigate the effects of observable factors of internal and external contexts on tourist perceptions towards personalised information services performance. An exploratory approach is used to test measurement invariance and the moderating effects of personal, travel, technical and social parameters of the tourist context, when applicable. The findings demonstrate that contextual factors motivate tourists to attribute different meanings to the parameters of the service, that have already been personalised for them. Individually developed personalisation design solutions are required for each travel context.
Vortrag
  • Katerina Volchek

Exploring ways to improve personalisation: the influence of tourist context on service perception.

Surrey, UK 08.01.2020.

(2020)

Vortrag
  • Katerina Volchek

The more - the better? The effect of Information of Tourist Perceptions of Personalisation.

  • Universität Innsbruck.

Innsbruck, Österreich 28.09.2020.

(2020)

Beitrag in Sammelwerk/Tagungsband
  • Katerina Volchek
  • J. Yu
  • B. Neuhofer
  • R. Egger
  • M. Rainoldi

Co-creating Personalised Experiences in the Context of the Personalisation-Privacy Paradox.

  • In:
  • Wolfgang Wörndl
  • Chulmo Koo
  • Jason Stienmetz

Cham: International Federation for Information Technologies and Travel & Tourism (IFITT) pg. 95-108

(2021)

Beitrag in Sammelwerk/Tagungsband
  • M. Pillmayer
  • N. Scherle
  • Katerina Volchek

Destination Management in Times of Crisis - Potentials of Open Innovation Approach in the Context of COVID-19?.

  • In:
  • Wolfgang Wörndl
  • Chulmo Koo
  • Jason Stienmetz

Cham: International Federation for Information Technologies and Travel & Tourism (IFITT) pg. 517-529

(2021)

Vortrag
  • C. Brito
  • Katerina Volchek

Share Your Real Experience: Assessing Tourist Negative Emotions towards Authentic Food with Self-Report And Physiological Response Methods.

Hydra Island, Greece 01.-03.09.2021.

(2021)

Vortrag
  • Katerina Volchek
  • C. Brito
  • D. Athanasopoulos

Share Your Real Experience: Assessing Tourist Negative Emotions towards Authentic Food with Self-Report And Physiological Response Methods. Keynote..

  • European Campus Rottal-Inn.

Online 14.10.2021.

(2021)

Zeitschriftenartikel
  • Helana Lutfi
  • Rui Li
  • Thomas Spittler
  • Sascha Kreiskott
  • Katerina Volchek

Increasing Efficiency in Virtual Teaching in an International Context: E-learning and Instructional Approaches at ECRI.

In: Bavarian Journal of Applied Sciences , pg. 211-225

(2022)

DOI: 10.25929/bjas202291

Beitrag in Sammelwerk/Tagungsband
  • Katerina Volchek
  • D. Buhalis

Marketing Attribution.

Edward Elgar Publishing

(2022)

Beitrag in Sammelwerk/Tagungsband
  • Katerina Volchek
  • D. Buhalis
  • R. Law

Co-creating and co-personalised destructing experiences through smart tourism.

  • In:
  • R. Rahimi
  • D. Buhalis
  • B. Taheri

[S.l.]: Goodfellow Publisher LIM pg. 106-123

(2022)

Beitrag in Sammelwerk/Tagungsband
  • Katerina Volchek
  • A. Brysch

Metaverse and Tourism: From a New Niche to a Transformation.

  • In:
  • D. Massimo
  • B. Ferrer-Rosell
  • K. Berezina

Cham: Springer Nature Switzerland pg. 300-311

DOI: 10.1007/978-3-031-25752-0_32

(2023)

Beitrag in Sammelwerk/Tagungsband
  • Katerina Volchek
  • A. Brysch

Metaverse: The Dissolution of the Traditional Concept of Tourism.

(2023)

Beitrag in Sammelwerk/Tagungsband
  • Katerina Volchek
  • J. Pesonen

Personalisation, Equality and Equity in Smart Tourism.

(2023)

Vortrag
  • Katerina Volchek
  • B. Neuhofer

Explainable Smart Tourism: Minimising the Risks of Value Co-Destruction.

  • Hotelschool The Hague.

Amsterdam, The Netherlands 08.-09.06.2023.

(2023)

Vortrag
  • Katerina Volchek
  • B. Neuhofer

Enabling the potential of technologies: explainable smart tourism. Poster presentation.

Vienna, Austria 03.-06.10.2023.

(2023)

Vortrag
  • Michael Laar
  • Katerina Volchek
  • Ibrahim Bader
  • Corinna Pippirs
  • Celso Brito
  • Spyropoulou V.

Erholsamer Schlaf durch CO2 – und Temperatursensorik in Schlafräumen (Healthy sleep through CO2 & temperature sensors in bedrooms). Posterpräsentation.

  • Technische Hochschule Deggendorf.

Deggendorf 26.-27.10.2023.

(2023)

Beitrag in Sammelwerk/Tagungsband
  • Katerina Volchek
  • S. Ivanov

ChatGPT as a Travel Itinerary Planner.

  • In:
  • L. Nixon
  • A. Tuomi
  • K. Berezina

Cham: Springer Nature Switzerland pg. 365-370

DOI: 10.1007/978-3-031-58839-6_38

(2024)

Beitrag in Sammelwerk/Tagungsband
  • C. Brito
  • Spyropoulou V.
  • Katerina Volchek

Too authentic to try? The analysis of tourist experiences with authentic food images.

pg. 169-171

(2024)

Beitrag in Sammelwerk/Tagungsband
  • K. Berezina
  • L. Cain
  • Katerina Volchek
  • C. Cobanoglu

Creating Experiences through Automation Technologies.

  • In:
  • S. Ivanov
  • C. Webster

Bristol, GB: Channel View Publications pg. 148-169

DOI: 10.2307/jj.21995555.14

(2024)

Beitrag in Sammelwerk/Tagungsband
  • S. Ivanov
  • Katerina Volchek
  • C. Brito

Sentiment Analysis of Tourist Reviews with ChatGPT.

  • Best Paper Award.
  • (2024)

    Beitrag in Sammelwerk/Tagungsband
    • Katerina Volchek
    • S. Ivanov

    Generative AI as Sentiment Analysis Tool in Hospitality.

    pg. 191-194

    (2024)

    Beitrag in Sammelwerk/Tagungsband
    • S. Ivanov
    • Katerina Volchek
    • C. Brito

    Generative AI for Sentiment Analysis.

  • [Accepted for publication].
  • Cham: Springer Nature Switzerland

    (2025)

    Beitrag in Sammelwerk/Tagungsband
    • Spyropoulou V.
    • Katerina Volchek

    Tourist Cyberpsychology: Visual Appearance of the Travel Guide & Tourist Experience.

  • [Accepted for publication].
  • Cham: Springer Nature Switzerland

    (2025)

    Labore

    Manager of DigiHealth & Smart Tourism Lab


    Kernkompetenzen

    • Digital Transformation
    • Smart Tourism
    • Marketing and Personalised Experience Design
    • Business Strategy and Innovation Management
    • Neuromarketing


    Forschungs- und Lehrgebiete

    • Personalisiertes Erlebnisdesign
    • Gemeinsame Wertschöpfung und -zerstörung
    • Personalisierung, Gleichheit und Gerechtigkeit
    • Metaverse im Tourismus
    • Erforschung des touristischen Erlebnisses mit neurophysiologischen Beobachtungen


    Vita

    Dr. Katerina Volchek ist Professorin an der Technischen Hochschule Deggendorf. Sie begann ihre Karriere als Produktmanagerin und Marketingfachfrau bei einem Reiseveranstalter. Heute ist Katerina Expertin für Kundenerfahrung, Informations- und Kommunikationstechnologien und Marketingstrategien für den Tourismus, einschließlich der Gestaltung personalisierter Dienste und der Optimierung des ROI durch Marketing-Attribution.

    Derzeit liegt Katerinas Forschungsinteresse auf den Möglichkeiten intelligenter Umgebungen zur Weiterentwicklung von CX- und Geschäftsstrategien. Unter anderem untersucht sie das Potenzial von Mixed Realities, Generative AI und neurophysiologischen Jahreszeiten, die in die Tourismusentwicklung einbezogen werden können.

    Katerina ist Leiterin des DigiHealth & Smart Tourism-Labors an der Technischen Hochschule Deggendorf. Sie ist außerdem Mitherausgeberin des International Journal of SPA & Wellness. Zuvor war sie im Vorstand der International Federation for IT and Travel & Tourism tätig.


    Sonstiges

    Consultation hours:

    • upon request by email: katerina.volchek@th-deg.de