FUNDAMENTALS OF ELECTRONIC COMMERCE

Course Description

This course explores the principles and practices of E-Commerce, focusing on how digital platforms transform business operations and customer interactions. In this course, students will learn about key topics such as online marketplaces, payment systems, digital marketing, and cybersecurity in E-Commerce. The course emphasizes the development of effective E-Commerce strategies, exploring tools for designing and managing online businesses. Case studies and projects will provide hands-on experience, enabling students to understand and apply concepts in real-world scenarios. By completion of the course, students will be equipped with the knowledge and skills to successfully implement and manage E-Commerce initiatives in diverse business contexts.

FUNDAMENTALS OF ELECTRONIC COMMERCE

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Laudon, K. C., & Traver, C. G. (2021). E-commerce 2020-2021: business, technology, society. Pearson.
2. 02 Laudon, K. C., & Traver, C. G. (2023). E-commerce 2023: business, technology, society. 17th Edition. Pearson.

Learning Outcomes

1. L01 Define and describe the fundamental concepts and objectives of electronic commerce in digital business environments. SOLO 3
2. L02 Classify different types of e-commerce models and compare their strategic positioning in digital markets. SOLO 4
3. L04 Analyze digital business environments and develop effective e-commerce strategies aligned with organizational goals. SOLO 4.5
4. L04 Design and evaluate implementation roadmaps for e-commerce initiatives by identifying operational and technological capability gaps. SOLO 5
5. L05 Analyze value creation processes in e-commerce by linking customer value, firm value, and digital performance metrics such as CLV and conversion rate. SOLO 3.5
6. L06 Analyze and integrate multiple digital channels to ensure a seamless online customer experience across e-commerce platforms. SOLO 4.5
7. L07 Analyze and manage digital customer data and information processes to support effective e-commerce decision-making. SOLO 4
8. L08 Evaluate e-commerce performance using key digital marketing metrics such as CAC, ROAS, conversion rate, and customer retention. SOLO 4.5
9. L09 Design and evaluate organizational structures and strategic readiness for implementing e-commerce initiatives. SOLO 5

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix