Basic Information
Course Name:
Organizational Behavior
Language of Instruction:
English
Instructor:
Prof. Dr. İbrahim Sani MERT
Course Objectives
The objective of this course is to introduce the fundamental concepts of Organizational Behavior (OB) and to enable students to understand behaviors at both the individual and group levels. The course aims to develop students' skills in analyzing human behavior, interpreting attitudes and behaviors in the workplace, and grasping core concepts aimed at increasing organizational effectiveness. Furthermore, the course intends for students to understand the importance of the human factor in management processes and to relate core theories of organizational behavior to practical applications.
Course Content
This course covers the foundational topics of organizational behavior. The content includes: the definition and scope of organizational behavior, individual behavior, personality and values, perception, attitudes and job satisfaction, motivation, group behavior, communication, and basic leadership concepts. Within the scope of the course, fundamental OB theories are addressed and supported by case studies to ensure students can bridge the gap between theoretical knowledge and practice.
Prerequisites / Corequisites
There are no specific prerequisites for this course.
Course Books / Materials / Recommended Resources
Mandatory / Recommended Textbook: Robbins, S. P. & Judge, T. A. – Organizational BehaviorSupplementary Resources:Course notes and presentations.Case studies.Contemporary business world examples.These resources are utilized to support students in understanding core concepts and relating organizational behavior topics to real-life applications.
Academic Integrity and Artificial Intelligence
Full compliance with the principles of academic integrity is mandatory within the scope of this course. All work must be original, and all sources used must be appropriately cited.Artificial Intelligence tools may only be used for supportive purposes. The direct use of content generated through these tools without proper attribution is considered a violation of academic ethics. Students are expected to clearly declare their use of AI and to assume full academic responsibility for the work they submit.