Masterarbeit, 2006
166 Seiten, Note: 1.3
This master's thesis focuses on developing a competence-based decision model for offshoring automotive product development processes to India. The study aims to provide a practical tool for companies considering offshoring, enabling them to make informed decisions based on a comprehensive evaluation of relevant factors.
The thesis begins with an introduction, followed by a comprehensive state-of-the-art analysis of offshoring, examining relevant theories and existing decision models. Chapter 3 establishes the problem statement and research goals, outlining the specific challenges and objectives of the study. Chapter 4 delves into the background of the client company and the drivers motivating their potential offshoring decision, highlighting key factors such as cost reduction, access to new markets, and skill development. Chapter 5 focuses on the product development processes at the client company, modeling these processes, identifying necessary competencies for each step, and analyzing potential challenges in managing internal and external customer relationships. Chapter 6 presents the proposed competence-based decision model for offshoring, outlining goals and success factors, analyzing the client's offshoring objectives, and conducting an offshoreability study to assess the suitability of specific processes for offshoring. The chapter concludes with the development of a balanced scorecard for evaluating potential offshoring partners in India, emphasizing resource-based view principles and aligning vendor competencies with offshoring goals.
The thesis explores the concepts of offshoring, competence-based decision making, balanced scorecard methodology, automotive product development, cost drivers, success critical process steps, offshoreability assessment, and evaluation of potential offshoring partners in the Indian automotive engineering services market.
Primary drivers include reducing developmental costs, accessing fast-growing markets, and leveraging a global competency mix for long-term growth.
It refers to the ease with which a specific process or task can be moved to an offshore location without losing value, quality, or efficiency.
The thesis proposes a "Balanced Scorecard Magnifying Glass" model that maps corporate offshoring goals to specific vendor competencies.
Risks include diffused decision processes, differing requirements between internal and external customers, and potential loss of core competencies.
Experts predict the offshore ES market in India could grow to $40 billion by 2020, representing a significant global market share.
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