You are invited to participate in a scientific survey on the current state of forecasting in industrial companies. The study examines how forecasting processes are organized, which data and methods are used, what role human assessments play, and to what extent companies are prepared for the use of machine learning (ML) or artificial intelligence (AI)-based forecasting solutions.
In this context, forecasting is defined as an estimate of future developments, such as sales (quantity) or revenue (€), that is as well-founded as possible, based on available data, analytical methods and/or expert knowledge.
The guidelines for ethical research stipulate that participants in empirical studies must explicitly and comprehensibly consent to their participation.
Voluntary Participation. Your participation in this study is voluntary. You are free to withdraw at any time without incurring any disadvantages.
Anonymity. Your data is of course confidential, will only be evaluated in anonymized form, and will not be passed on to third parties. Demographic information such as age or gender does not allow any clear conclusions to be drawn about your identity.
Questions. If you have any further questions about this study, you will find an imprint with contact details of the study leaders below.
I hereby confirm that I am at least 18 years old and have read and understood the declaration of consent.
