This book is specifically designed to meet the academic requirements of both undergraduate students as per NEP syllabus 2020. The text is crafted in simple and lucid language, and understandable. The book is systematically and thoughtfully structured as NEP 2020 Multi-disciplinary course to provide. In addition to covering the core topics of entrepreneurship and e-commerce, the book is also addresses several new and emerging examples that are becoming increasingly relevant in the industry. The book is designed with several student-friendly features to enhance the learning experience:
- Comprehensive Coverage of Concepts: Each chapter provides a thorough explanation of key concepts, ensuring that students develop a solid understanding of the subject matter.
- Examples and Cases: The book includes a variety of case studies that illustrate how digital marketing strategies are applied in real-world scenarios. These cases help students connect theory with practice.
- Summaries: At the end of each chapter, a summary is provided to reinforce the key points covered, making it easier for students to review and retain the information.
- Discussion Questions: Each chapter concludes with a set of discussion questions designed as per NEP 2020 guideline to encourage critical thinking and facilitate classroom discussions.
- Suggested Readings: At the end of the book, a list of suggested readings is provided for students who wish to explore the topics further.
This comprehensive approach ensures that the book fully meets the needs of both students and educators in the field of fundamental concept of entrepreneurship as well as e-commerce.
Contents –
1.1 Introduction to Entrepreneurship
1.2 Types of Entrepreneurship
1.3 Idea Generation
2.1 Business Plan
2.2 Intellectual Property Rights (IPR)
2.3 Corporate Social Responsibility (CSR)
3.1 Introduction to E-Commerce
3.2 E-Commerce Models
3.3 E-Commerce Platforms and Technologies
3.4 Building an E-Commerce Website
3.5 Digital Payment
3.6 Digital Marketing
4.1 E-Commerce Order Processing and Return
4.2 E-Commerce Analytics
4.3 Web Analytics
Bibliography