CASES IN ENTREPRENEURSHIP

Course Description

The aim of the course is to provide a comprehensive representation regarding managing core issues of business creation in new ventures and established firms by means of case studies. The case studies will be focused on the entrepreneurial business development and management. Through case studies, the students will analyze various typologies of entrepreneurship, financial sources for startups, modes of business networking, attitudes. Students will be able to develop an understanding of successes, opportunities and risks of entrepreneurship and encouraged to think in innovative ways about various business challenges. Guest lectures from successful entrepreneurs or visits to various companies will be offered. Students will also develop skills in written business communication and oral presentations in order to integrate entrepreneurship concepts.

CASES IN ENTREPRENEURSHIP

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Through case studies, the students will analyze various typologies of entrepreneurship, financial sources for startups, modes of business networking, attitudes
2. 02 Assess the attitudes, values, characteristics, behavior, and processes associated with successful entrepreneurial behavior,
3. 03 Discuss what is meant by entrepreneurship from a theoretical and practical perspective
4. 04 Provide suggestions/İmplications for entrepreneurial business practice in their case studies
5. 05 Discuss the relevant concepts and usage of practical cases/activities
6. 06 Demonstrate the use of learning resources. I
7. 07 Identify and analyze various typologies of entrepreneurship, financial sources for startups, modes of business networking, attitudes.

Course Syllabus

Reference Books & Course Materials

1. 01 Entrepreneurship SUCCESSFULLY LAUNCHING NEW VENTURES, Bruce R. Barringer and R. Duane Ireland, (2022) 6th Ed, © Pearson Education Limited
2. 02 Entrepreneurship and small business start-up, growth and maturity, 2016, Paul Burns, Palgrave

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. Demonstrate mastery of advanced research methodologies (quantitative, qualitative, and mixed methods) by critically analyzing literature, identifying research gaps, and designing original studies that contribute to MIS theory and practice.
2. Conduct and defend an original doctoral dissertation that reflects independent scholarly inquiry, academic rigor, and a significant contribution to the advancement of knowledge in MIS.
3. Exhibit readiness for thesis monitoring and defense by articulating the philosophical foundations of research paradigms, positioning one's research within these frameworks, and responding to scholarly critique.
4. Apply ethical principles, academic integrity, and responsible conduct of research in all phases of the research process, including data collection, analysis, reporting, and publication.
5. Identify and address the social, legal, and ethical implications of information systems research and its applications within organizational and societal contexts.
6. Employ advanced data science techniques, including statistical modeling, machine learning, and AI-based analytics, to examine complex datasets and extract meaningful insights in MIS research.
7. Recognize and evaluate emerging technologies such as artificial intelligence, big data, blockchain, and the Internet of Things, assessing their transformative impact on organizational processes and digital ecosystems.
8. Collaborate and lead in interdisciplinary research environments, establishing productive scientific partnerships and managing research projects that integrate diverse academic perspectives.
9. Publish high-quality research in peer-reviewed journals, present findings at international conferences, and actively engage in academic service such as journal reviewing, conference organizing, and committee participation.
10. Identify challenges and propose innovative, research-based solutions at the intersection of information systems, technology, and organizational strategy.
11. Deliver advanced-level MIS courses, supervise graduate research, and nurture academic development through effective mentorship and scholarly teaching.
12. Develop advanced information systems and decision support systems that align IT capabilities with organizational strategies using systems thinking and innovative design methodologies.

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