Bewertungsmodell für Lieferantennetzwerke in ASEAN und Indien

Abstract

Global supply chains are under sustained pressure due to geopolitical tensions, growing regulatory requirements and recurring exogenous shocks such as the COVID-19 pandemic. European industrial companies are facing increasing uncertainty, growing complexity and new risks in international procurement networks. The increasing shift of procurement and production activities to Southeast Asia and India brings not only opportunities but also significant challenges in terms of transparency, controllability and risk management. The research gap lies in the fact that existing evaluation models for supplier networks often do not address the specific dynamics, regional differences and complex decision-making situations in these markets. The thesis develops a structured assessment model that aims to provide European companies with a sound basis for decision-making when selecting and designing strategic supplier networks in South and Southeast Asia. First, key evaluation categories, control factors and risk dimensions are systematically derived from the relevant literature. Building on this, an empirical extension is carried out through qualitative expert interviews with decision-makers from relevant companies and organisations. The interview data is evaluated deductively using a structured guide and forms the basis for a consistent criteria structure. The evaluation model follows a three-stage logic. First, there is a formal review of the KO criteria, followed by a qualitative assessment based on cluster criteria and, finally, a reflection phase in which soft factors such as cultural fit and local implementation competence are taken into account. The theoretical basis, methodological rigour and empirical evidence are combined to form a coherent knowledge path. The evaluation model developed enables context-sensitive, flexible and structured decision support for the establishment and evaluation of international supplier networks. When applied to two contrasting decision-making scenarios, a medium-sized company with a focus on resilience and operational proximity in India and an international corporation with a longterm sustainability orientation in Vietnam, the model proves its adaptability to different target systems and company sizes. The results show that taking regional characteristics, KO criteria and qualitative reflection dimensions into account improves decision quality and increases transparency in complex procurement markets. The thesis thus contributes to the professionalisation of strategic procurement decisions and provides a practical tool that can also be transferred to other dynamic markets.

Date of Award	2025
Original language	German (Austria)
Supervisor	Michael Plasch (Supervisor)