Business Administration (Master) (with Thesis) (English) Preview
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code:

BUS5006

Course Name:

Innovation Economics

Semester:

Fall
Spring

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Prof. Dr. ÇİĞDEM BÖRKE TUNALI

Course Lecturer(s):

Assoc. Prof. Ayfer Ustabaş

Course Assistants:

Course Objective and Content

Course Objectives:

The aim of this course is to examine the role of science, technology,and innovation activities in fostering economic growth and development. The lectures introduce concepts such as R&D and productivity, markets for technology, technological diffusion, and technology policy.

Course Content:

This course examines technological innovations from microeconomic and macroeconomic perspectives. The lectures cover multi-actor context, discussing the roles of firms, institutions of higher education,research institutes, households, and individuals, as well as inter-actor linkages and the National innovation systems framework. The interplay between innovations, economic transformation, and economic growth is studied with an emphasis on the relationship between discourse and the general agenda of development studies.

Learning Outcomes

The students who have succeeded in this course;
1) To explain historical background and basic conceptual foundations about knowledge, technology, and innovation
2) To explain the contemporary multi-actor perspective on innovation and the key insights of the microeconomics of innovation
3) To analyze the effects of innovation on economic competitiveness and productivity in the firm
4) To explore the impact of innovation on economic growth and development, industrial dynamics, business strategies, and public policies
5) To explain the measure of technical change by using innovation indicators such as the R&D expenditures, patents, and surveys.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction: Science, technology, and innovation in the economic analysis Fundamental features and role of innovation and technical change in the contemporary economies
2)	Characteristics of innovation systems Dynamics and sources of technological capability development
3)	Basic conceptual issues and theoretical foundations Differences among knowledge, technology, and innovation Innovation in neoclassical models Technology in endogenous and modern growth theories
4)	Role of global value chains in evolution of innovation systems Role of university-industry relations as well as the role of universities as engines of community development
5)	Case studies: United States, Germany
6)	Case studies: Japan, South Korea, and China
7)	Macro level impact of innovation on economic growth and development
8)	Role of governments and institutions in fostering technological innovation
9)	Sectoral and national systems of innovation: Lessons from China and India Boundaries of innovation systems
10)	Role of incentives of organizations and institutions concerning the innovation Role of private equity in financing the early stages of economic transformation
11)	The challenge of financing innovation in developing countries The financing of innovation in firms: Microcredits and other incentives
12)	Measure of technical change by using innovation indicators such as R&D expenditures, patents, and surveys Patterns of technological activities by using different measurement and indicators Interpretation and analyzing the innovation data
13)	Presentations of students
14)	Final Exam

Sources

Course Notes / Textbooks:

C. Freeman, C. and L. Soete, The Economics of Industrial Innovation, London: Pinter, 1997
Greenhalgh, C., & Rogers, M. (2010). Innovation, Intellectual Property, and Economic Growth.
Princeton, N.J.- R. Atkinson, and S. Ezell, Innovation Economics the Race for Global Advantage, Yale University Press, 2012.
Ergun Türkcan, Dünya’da ve Türkiye’de Bilim, Teknoloji vePolitika, 1. Baskı, İstanbul Bilgi Üniversitesi Yayınları, 2009.

References:

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Develop and deepen knowledge in the same or in a different field to the proficiency level based on Bachelor level qualifications.
2) Use of theoretical and practical knowledge within the field at a proficiency level.
3) Communicate current developments and studies within the field to both professional and non-professional groups systematically using written, oral and visual techniques by supporting with quantitative and qualitative data.
4) Evaluate knowledge and skills acquired at proficiency level in the field with a critical approach and direct the learning.
5) Use the knowledge, problem solving and/or implementation skills in interdisciplinary studies.
6) Independently conduct studies that require proficiency in the field.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Develop and deepen knowledge in the same or in a different field to the proficiency level based on Bachelor level qualifications.
2)	Use of theoretical and practical knowledge within the field at a proficiency level.
3)	Communicate current developments and studies within the field to both professional and non-professional groups systematically using written, oral and visual techniques by supporting with quantitative and qualitative data.
4)	Evaluate knowledge and skills acquired at proficiency level in the field with a critical approach and direct the learning.
5)	Use the knowledge, problem solving and/or implementation skills in interdisciplinary studies.
6)	Independently conduct studies that require proficiency in the field.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 0
Midterms	2	% 40
Final	2	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	0	3		42
Midterms	1	40	3		43
Final	1	60	3		63
Total Workload					148