Challenges of Implementing Artifical Intelligence Related Services. What Enhancing and Inhibiting Factors Need to be Addressed by Consultancies?

Inhaltsverzeichnis (Table of Contents)

• Abstract
• Introduction
• Literature review
  • Capabilities for knowledge-based service innovations
  • Competence enhancing and disruptive technologies
• Methods
  • Research design
  • Sampling approach
  • Data collection
  • Data analysis
• Findings
  • Relevance perception of Artificial Intelligence
  • Client projects supported by Artificial Intelligence
  • Determinants for enhancing AI capability development
  • Determinants for inhibiting AI capability development
  • Critical remarks on internal AI capability development
• Discussion
  • Theoretical contribution
  • Practical implications
  • Limitations and future research
• REFERENCES

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This master thesis investigates the factors that enhance and inhibit consultancies in their implementation of Artificial Intelligence (AI) related services. The research aims to address the debate surrounding AI in the consulting industry, exploring whether AI is a disruptive force or merely an enhancement to existing competencies. The thesis seeks to identify the specific capabilities needed for consultancies to develop and utilize AI effectively.

• The impact of AI on the consulting industry, specifically its potential for disruption or enhancement of existing capabilities.
• The development and implementation of AI-related services by consultancies.
• The identification of enhancing and inhibiting factors for AI implementation within consultancies.
• The comparison of AI-related service innovation capabilities with those of other service innovations.
• The theoretical and practical implications of the findings for the consulting industry.

Zusammenfassung der Kapitel (Chapter Summaries)

The research begins with a comprehensive review of existing literature on service innovation, specifically focusing on knowledge-based service innovations and the role of disruptive and enhancing technologies. The research design and methodology are outlined, detailing the sampling approach, data collection, and data analysis methods. The research findings are presented, analyzing the perception of AI relevance within consultancies, examining client projects supported by AI, and identifying the determinants for enhancing and inhibiting AI capability development.

Schlüsselwörter (Keywords)

This master thesis focuses on Artificial Intelligence (AI), service innovation, consulting industry, competence development, disruptive technologies, enhancing technologies, data analytics, and client engagement.