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Titel: Innovative Knowledge Management and Transformation: Perspectives, Methods, and Practical Examples

Innovative Knowledge Management and Transformation: Perspectives, Methods, and Practical Examples

Innovatives Wissensmanagement und Transformation: Perspektiven, Methoden und Praxisbeispiele

von Bernhard F. Seyr (Band-Herausgeber:in)
©2026 Sammelband 204 Seiten
Rechtswissenschaften, Volks- & Betriebswirtschaftslehre
Reihe: Innovatives Wissensmanagement, Band 7

Zusammenfassung

The series Innovative Knowledge Management brings together theory and practice. It provides interested readers from academia and industry not only with scholarly works but also with innovative concepts, novel solutions to current challenges, and application-oriented case studies from a wide range of sectors. The multi-disciplinary approach also allows the integration of innovation management and knowledge management, examining them from diverse perspectives.
Volume 7 brings together current scientific findings, practice-oriented analyses, and innovative approaches from various areas of knowledge management. It spans a wide range from the strategic importance of employer branding in times of demographic change and agile learning to the integration of AI into knowledge and innovation processes, concrete applications such as a sentiment analysis of social media to measure quality of life, and the digital transformation in e-commerce.

Inhaltsverzeichnis

  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • Figures
  • Tables
  • Preface
  • 1. Segmenting Talent: A Cluster Analysis Approach to Employer Branding and Knowledge Management in German SMEs (Patrick Szillat and Adam Dymitrowski)
  • 1.1 Introduction
  • 1.2 Employer Branding in the Context of Knowledge Management
  • 1.3 Research Problem, Objective and Approach
  • 1.4 Research Methodology
  • 1.5 Values and Expectations of Generation Y Towards ME
  • 1.6 Cluster Analysis – Differences and Similarities in Generation Y
  • 1.7 Hypotheses and Conclusions
  • References
  • 2. Agiles Lernen für Fach- und Führungskräfte (Thomas Wala)
  • 2.1 Agilität
  • 2.2 Charakteristika agiler Methoden
  • 2.3 Kompetenzen für agiles Arbeiten
  • 2.4 Anforderungen an zukünftige Lernangebote
  • 2.5 Agiles Lernen
  • 2.6 Agiles Sprintlernen
  • 2.7 Agile Führungskräfteentwicklung
  • 2.8 Wissensmanagement
  • 2.9 Fazit
  • Literaturverzeichnis
  • 3. Knowledge Management in E-Commerce: A Quantitative Study on Factors Influencing German Millennials in the Online Purchase of Used Cars (Dirin Saadallah and Patrick Szillat)
  • 3.1 Introduction
  • 3.2 E-Commerce in the German Used-Car Market in the Context of Knowledge Management
  • 3.3 Literature Review
  • 3.3.1 Electronic Commerce
  • 3.3.2 Consumer Behaviour
  • 3.3.3 Used-Car Market
  • 3.3.4 Technology Acceptance Model
  • 3.4 Methodology
  • 3.4.1 Hypotheses
  • 3.4.2 Methods
  • 3.5 Data Presentation, Analysis, Discussion
  • 3.5.1 Sample, Reliability and Correlation
  • 3.5.2 Hypothesis Testing
  • 3.6 Conclusion and Recommendation
  • 3.6.1 Knowledge Contribution
  • 3.6.2 Industry Contributions
  • 3.6.3 Limitations and Further Research
  • References
  • 4. Designing a System for Sentiment Analysis of Social Media Using AI to Monitor Quality of Life based on X Social Network Analysis (Martina Chalupová, Ladislav Pilař, Lucie Pilařová, František Smrčka, Joanna Rosak-Szyrocka, Michal Prokop and Kateřina Kuralová)
  • 4.1 Introduction
  • 4.2 Theoretical Background
  • 4.3 Materials and Methods
  • 4.4 Results and Discussion
  • 4.5 Conclusion
  • References
  • 5. Entrepreneurship as an Opportunity for the Euregio Rhine-Maas North. A Qualitative Analysis of Young, German Entrepreneurs’ Opinions Regarding the Attractiveness of the Region in the Context of Knowledge Management (Robin Ralf Pozun and Patrick Szillat)
  • 5.1 Introduction
  • 5.2 The Role of Knowledge Management in Regional Entrepreneurship
  • 5.3 Research Problem, Aim, Approach
  • 5.4 Literature Review
  • 5.4.1 Entrepreneur
  • 5.4.2 Euregio
  • 5.4.3 Brain Drain
  • 5.4.4 Key Characteristics of Entrepreneurs
  • 5.4.5 Motivation of Entrepreneurs
  • 5.5 Research Methodology
  • 5.6 Research Results and Discussion
  • 5.6.1 General Data
  • 5.6.2 Research Questions 1: The Key Characteristics of Young, German Entrepreneurs From the Euregio
  • 5.6.3 Research Questions 2: Key Needs of Student in the Euregio With Focus on Entrepreneurship
  • 5.6.4 Research Question 3: Key Needs of Entrepreneurs in the Euregio
  • 5.7 Conclusion
  • References

Figures

Patrick Szillat and Adam Dymitrowski

  1. Figure 1: KANO model
  2. Figure 2: Cluster analysis research approach
  3. Figure 3: Scree test

Thomas Wala

  1. Abbildung 1: Vier Formen des agilen Lernens
  2. Abbildung 2: Beispiel einer Lernaufgabe
  3. Abbildung 3: Agiles Sprintlernen
  4. Abbildung 4: Agile Führungskräfteentwicklung

Dirin Saadallah and Patrick Szillat

  1. Figure 1: Own Illustration of Conceptual Model based on TAM

Martina Chalupová, Ladislav Pilař, Lucie Pilařová, František Smrčka, Joanna Rosak-Szyrocka, Michal Prokop, Kateřina Kuralová

  1. Figure 1: Communication on the social network X in connection with the Quality of Life
  2. Figure 2: The trend of communication of the hashtag #worklifeballance on the X social network in connection with the topic of QoL
  3. Figure 3: The trend of communication of the hashtag #healthcare on the X (former twitter) social network in connection with the topic of QoL
  4. Figure 4: System design for sentiment analysis of social media using AI
  5. Figure 5: Sentiment colour resolution
  6. Figure 6: Output design for each QoL category
  7. Figure 7: Map output of the sentiment analysis

Robin Ralf Pozun and Patrick Szillat

Tables

Patrick Szillat and Adam Dymitrowski

  1. Table 1:  Matrix KANO model
  2. Table 2:  Description of the KANO indicators
  3. Table 3:  KANO model – list of must-be-indicators
  4. Table 4:  KANO model – total strengths of must-be-indicators
  5. Table 5:  KANO model – list of one-dimensional indicators
  6. Table 6:  KANO model – total strength of one-dimensional indicators
  7. Table 7:  KANO model – list of attractive indicators
  8. Table 8:  KANO model – total strength of attractive indicators
  9. Table 9:  KANO model – list of indifferent indicators
  10. Table 10: KANO model – total strength of indifferent indicators
  11. Table 11: KANO model – list of reverse indicators
  12. Table 12: KANO model – total strength of reverse indicators
  13. Table 13: KANO model – summary weighted employer requirements (in %)
  14. Table 14: KANO model – summary total strength by generation Y
  15. Table 15: KANO model – summary employee satisfaction
  16. Table 16: Three factors identified by factor analysis
  17. Table 17: Results k-means analysis generation Y
  18. Table 18: Age distribution according to cluster
  19. Table 19: Sex distribution according to cluster
  20. Table 20: Education

Dirin Saadallah and Patrick Szillat

  1. Table 1:  Reliability Testing Cronbach’s Alpha
  2. Table 2:  Validity Testing KMO values
  3. Table 3:  Overview T-Test Gender – Intention based on SPSS Output
  4. Table 4:  ANOVA Test result Income – Intention based on SPSS Output
  5. Table 5:  ANOVA Test result Education – Intention based on SPSS Output
  6. Table 6:  ANOVA Test result Employment – Intention based on SPSS Output
  7. Table 7:  ANOVA Test result Used-Car Price – Intention based on SPSS Output
  8. Table 8:  Correlation Analysis
  9. Table 9:  H1 Model Summary
  10. Table 10: H1 ANOVA Summary
  11. Table 11: H1 Coefficient Summary
  12. Table 12: H2 Model Summary
  13. Table 13: H2 ANOVA Summary
  14. Table 14: H2 Coefficient Summary
  15. Table 15: H3 Model Summary
  16. Table 16: H3 ANOVA Summary
  17. Table 17: H3 Coefficient Summary
  18. Table 18: H4 Model Summary
  19. Table 19: H4 ANOVA Summary
  20. Table 20: H4 Coefficient Summary
  21. Table 21: H5 Model Summary
  22. Table 22: H5 ANOVA Summary
  23. Table 23: H5 Coefficient Summary
  24. Table 24: H6–H10 Model Summary
  25. Table 25: H6–H10 ANOVA Summary
  26. Table 26: H6–H10 Coefficient Summary
  27. Table 27: Overview of results – Hypothesis Testing

Martina Chalupová, Ladislav Pilař, Lucie Pilařová, František Smrčka, Joanna Rosak-Szyrocka, Michal Prokop, Kateřina Kuralová

  1. Table 1:  The frequency of the top 40 hashtags connected to Quality of Life on the X (former twitter) social network
  2. Table 2:  Extracted communities related to QoL on the X social network

Robin Ralf Pozun and Patrick Szillat

Preface

The world of knowledge management is undergoing profound change. Digitalisation, Artificial Intelligence (AI), new forms of work, and constantly evolving societal frameworks present companies, organisations, and academia with ever-new challenges. At the same time, these developments open up unprecedented opportunities for innovation, sustainable development, and the creation of future-proof structures.

This book brings together current scientific findings, practice-oriented analyses, and innovative approaches from various areas of knowledge management. It spans a wide range, from the strategic importance of employer branding in times of demographic change and agile learning to the integration of AI into knowledge and innovation processes, concrete applications such as the sentiment analysis of social media to measure quality of life, and the digital transformation in e-commerce.

Details

Seiten
204
Erscheinungsjahr
2026
ISBN (PDF)
9783631950340
ISBN (ePUB)
9783631950357
ISBN (Hardcover)
9783631950098
DOI
10.3726/b23636
Sprache
Deutsch
Erscheinungsdatum
2026 (Juli)
Schlagworte
consumer behavior millennials Euregio employer branding digital transformation sentiment analysis AI agile learning innovation Knowledge management
Erschienen
Berlin, Bruxelles, Chennai, Lausanne, New York, Oxford, 2026. 204 S., 7 farb. Abb., 11 s/w Abb., 52 Tab.
Produktsicherheit
Peter Lang Group AG

Biographische Angaben

Bernhard F. Seyr (Band-Herausgeber:in)

Bernhard F. Seyr is the Director General of the European Association for Knowledge Economy (EURECO). He holds doctorates in Educational Sciences from the Paris Lodron University of Salzburg and in Social and Economic Sciences from the Johannes Kepler University Linz. He subsequently earned his habilitation in Economics and Organizational Sciences at the University of Sopron, where he was appointed honorary professor.

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Titel: Innovative Knowledge Management and Transformation: Perspectives, Methods, and Practical Examples