Information Package / Course Catalogue
Innovation and Knowledge Management
Course Code: ULT425
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The main objective of this course is to make students comprehend the strategic relationship between innovation management and knowledge management by transferring the processes of creating sharing and transforming knowledge into corporate value within the framework of the knowledge economy. It is aimed that students analyze organizational learning mechanisms and intellectual capital elements to develop innovative knowledge strategies that will provide a competitive advantage.

Course Content

This course begins with the concepts of the knowledge society and the knowledge economy. Explicit and tacit knowledge types knowledge creation processes and knowledge management systems in businesses are examined in detail. In the following weeks the impacts of intellectual capital organizational learning memory and knowledge sharing culture on innovation capacity are discussed. In the final parts of the course the role of big data analytics digital transformation and artificial intelligence supported information systems in innovation processes in data intensive sectors like logistics and supply chain are debated presenting strategic knowledge management applications.

Name of Lecturer(s)
Learning Outcomes
1.Explains the strategic importance for businesses by defining data information and knowledge concepts within the framework of the knowledge economy.
2.Analyzes corporate knowledge creation and transformation models by distinguishing tacit and explicit knowledge types.
3.Develops strategies to increase the innovation capacity of businesses by evaluating organizational learning and intellectual capital elements.
4.Designs corporate memory systems and knowledge sharing cultures by combining external knowledge sources and open innovation approaches.
5.Interprets the integration of big data and information systems into innovation processes in data intensive industries especially the logistics sector.
Recommended or Required Reading
1.Kalkan, V. D. 2016. Bilgi Yönetimi. Gazi Kitabevi.
2.Elçi, Ş. 2006. İnovasyon Kalkınmanın ve Rekabetin Anahtarı. Nova Yayınları.
Weekly Detailed Course Contents
Week 1 - Theoretical
Knowledge Society Knowledge Economy and Basic Concepts
Week 2 - Theoretical
Data Information Knowledge and Wisdom Hierarchy
Week 3 - Theoretical
Types of Knowledge Explicit Knowledge and Tacit Knowledge Concepts
Week 4 - Theoretical
Knowledge Creation Process and Models in Businesses
Week 5 - Theoretical
Corporate Memory and Knowledge Management Systems
Week 6 - Theoretical
Intellectual Capital Human Structural and Customer Capital
Week 7 - Theoretical
Knowledge Sharing Culture and Its Impact on Innovation
Week 8 - Theoretical
Success Factor in Knowledge Management and Models of Knowledge Management
Week 9 - Theoretical
Strategic Relationship Between Innovation Management and Knowledge Management
Week 10 - Theoretical
Open Innovation and Management of External Knowledge Sources
Week 11 - Theoretical
Knowledge Transfer and Collaboration Networks in R&D Activities
Week 12 - Theoretical
Information Technologies and Systems in Logistics and Supply Chain
Week 13 - Theoretical
Big Data Artificial Intelligence and Algorithmic Innovation Processes
Week 14 - Theoretical
Future Trends
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory132365
Assignment110010
Individual Work130226
Quiz1011
Midterm Examination120121
Final Examination125126
TOTAL WORKLOAD (hours)149
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
2
3
4
OÇ-2
1
2
4
OÇ-3
1
3
4
OÇ-4
2
4
3
OÇ-5
4
3
5
5
1
2
Adnan Menderes University - Information Package / Course Catalogue
2026