Innovative Technologies in E-Commerce

Course Code:

ETT 371

Course Type:

Elective

P:

3

Application:

0

Credits:

3

ECTS:

6

Course Language:

İngilizce

Course Coordinator:

Serkan Soyak

Course Objectives:

The aim of the course is to inform students about the applications of technological innovations such as artificial intelligence, productive augmented reality, cloud technologies, internet of things in the e-commerce sector.

Course Content:

The content of the course is to inform about digital innovation and digital transformation processes, data analytics, artificial intelligence, generative AI, web 3 and 5G, cloud technologies, metaverse, blockchain, internet of things, omnichannel sales, mobile shopping and digital innovation strategies.

Course Methodology:

1: Lecture, 2: Question-Answer, 3: Discussion, 4: Simulation, 5: Case Study

Course Evaluation Methods:

A: Exam, B:Presentation, C: Homework, D: Project, E: Laboratory

Vertical Tabs

Course Learning Outcomes

Learning Outcomes	Teaching Methods	Assessment Methods
It gives information about the Benefits of Digital Innovation.	1,2,5	A
It tells about big data, data mining issues.	1,2,5	A,C
List the types of artificial intelligence	1,2,5	A,C
Provides information on current topics such as cloud technologies, metaverse, blockchain, internet of things.	1,2,5	A,C
Explains multi-channel sales methods	1,2,5	A,B,C
Examines key technology trends in e-commerce	1,2,5	A,C
Provides information on digital innovation strategies	1,2,5	A,C

Course Flow

COURSE CONTENT
Week	Topics
1	Digital Innovation vs. Digital Transformation (Create a Digital Adoption Strategy for New Processes and Tools Benefits of Digital Innovation)
2	Data Analytics: Big Data & Data Minig
3	Artificial Intelligence (Machine Learning, Deep Learning, Responsible AI, Human Centered AI, Generative AI)
4	Generative AI
5	Web3 and 5G
6	Cloud Technologies
7	Metaverse and Blockchain
8	Midterm
9	IoT and Industrial IoT
10	AR (Augmented Realty), VR (Virtual Reality) ve 3G
11	Omni-Channel Sales Product information management (PIM), Customer Relationship Management (CRM), Inventory Management Systems and Order Management (Logistics and Delivery Automation), ERP/MRP (Forecasting, Predictive Analytics), M-Commerce
12	Value Networks, Ecosystems and New Business Models
13	Key technology trends in E-Commerce; social commerce, livestream commerce, mobile shopping
14	Digital Innovation Strategy and Sources of Innovation
15	Final Exam

Recommended Sources

RECOMMENDED SOURCES
Textbook
Additional Resources	Lecture notes

Material Sharing

MATERIAL SHARING
Documents	Photocopy shareable.
Assignments	Shareable
Exams	-

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-Term	1	30
Project	1	10
Final Exam	1	60
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		60
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		40
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAMME
No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	E-Commerce and Management graduated, Describe contemporary e-Commerce environment		X
2	E-Commerce and Management graduated, Review concepts and terminology together with processes and management decisions involved		X
3	E-Commerce and Management graduated, Apply techniques of using of JavaScript, JScript, DHTML, CSS, ASP, XML documents to external resources					X
4	E-Commerce and Management graduated, Demonstrate an understanding of transforming and presentation languages					X
5	E-Commerce and Management graduated, Assess major e-Commerce opportunities, limitations, issues and risks		X
6	E-Commerce and Management graduated, Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards and methodologies.		X
7	E-Commerce and Management graduated, Recognition of the need for, and the ability to access information, to follow recent developments in science and technology, and to engage in life-long learning.					X
8	E-Commerce and Management graduated An ability to design, implement and evaluate an information system, component, process or program that meets specified requirements.					X

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Including the exam week: 15x Total course hours/week)	15	3	45
Hours for off-the-classroom study (Pre-study, practice, review/week)	15	3	45
Homework/Presentation	1	25	25
Midterm	1	15	15
Final	1	20	20
Total Work Load			150
Total Work Load / 25 (h)			6.0
ECTS Credit of the Course			6

None

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