Demand forecasting under uncertainty: a holistic approach to drivers and barriers for successful forecasting projects.

Abstract

This research thesis aims at analyzing the key elements that enable successful forecasting projects in a company which operates within an interorganizational framework. More precisely, it is about identifying essential factors which influence the effectiveness and efficiency of the forecasting management process in a positive or negative way. The unexpected global outbreak of the COVID-19 pandemic in 2020 has shaken supply chains and highlights the need to address demand forecasting under uncertainty. Thus, to examine factors that are fundamental to accurate forecasting and those that drive forecasting project deliverables. Among others, methodical, technological and organizational factors will be identified in a literature review. Further a holistic single-case study is conducted to analyze the identified factors in an organizational environment. The findings will be interlinked to be then able to derive recommendations for action and to be able to identify further fields of research based on this thesis.