Projects and publications

Martijn Zoet, Armand Odekerken, Luc Houben and Leo Fransen will provide a snapshot of their current project Machine Learning in a student restaurant.

At the Hotel Management School Maastricht, first-year students operate the student restaurant REFRESH.

As part of their curriculum, they are challenged to create their own menu offering, based on food-cost calculations and process management.

The ‘Data Driven Hospitality’ research center is developing an additional tool for the students to streamline their restaurant operations. Whilst using machine learning techniques, students will be able to forecast the popularity of their chosen recipes, and adapt if necessary before the menu execution will take place.

The next step is to train the students in these machine learning techniques themselves.

Martijn Zoet, Armand Odekerken, Luc Houben and Leo Fransen will provide a snapshot of their current project Inspirational Hospitality Stories.

In the first year of the Data-driven Hospitality research centre, the research group members and two student project groups worked, as part of their graduation, together to develop a program that automatically collects data in the field of trends and developments in the restaurant and hotel industry.

This will be visualized as a dashboard with inspirational hospitality stories.

The next step is to send this stories as a newsletter to the industry on a weekly base.

In the minor Data-driven Decision Making, students learn how to use data to make management decisions regarding a specific management challenge.

To do this, students must be able to understand a management challenge from the perspectives of three different domains: financial, human resources, and commercial. Based on data from these three domains, students build a dashboard that supports the relevant manager in making policy or making decisions.

To be able to build the dashboard, classes, workshops and company visits are organized, with which students gain insight into:

• assessing and optimizing the quality of available data;
• combining databases so that information from different sources can be linked;
• ask relevant management and research questions to identify and obtain relevant information for the management dilemma concerned;
• interpreting and visualizing management information in an accessible, user-friendly way;
• dealing with data acquisition and processing in a legally responsible and ethical manner.

Kitchiner. A., Vlijm. E, Ursache, M.  & Zoet. M (2022) Variation in job titles within the hospitality workforce: A computation grounded theory approach The Fourteenth International Conference on Information, Process, and Knowledge Management eKNOW.

Heeren. A, Zoet. M & Mantelaers. E (2022) Continuous Monitoring of Counter-Accounts in Hospitality Assistance with implementation of SDG 5: Gender equality. The Fourteenth International Conference on Information, Process, and Knowledge Management eKNOW (winner best paper award)

Kitchiner. A.,  & Zoet. M (2022) Variation in job titles within the hospitality workforce: A computation grounded theory approach The Fourteenth International Conference on Information, Process, and Knowledge Management eKNOW (best paper award).

Heeren. A & Put. W (2022) - Presentation at Finanza for CFO’s in Limburg

Heeren. A – Presentation Data-driven Hospitality for Koninklijke Horeca Nederland

Zoet. M – Presentation Data-driven Hospitality - Practice for Koninklijke Horeca Nederland

Heeren. A & Zoet M. – Presentation Data-driven Hospitality for MKB Limburg