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Digital Business Management (M.Sc.)

Study Digital Business Management (M.Sc.) at Frankfurt University of Applied Sciences. It is a business-oriented master’s program in Business Informatics that examines the managerial and technical implications of Applied Artificial Intelligence or Data Science. 


 

Prof. Dr. Swen Schneider

Prof. Dr. Lutz Anderie

Digital Business Management - Wirtschaftsinformatik

Digital Business Management is your essential guide to thriving in the dynamic world of digital business. This book offers practical strategies and proven methods to digitally transform your business, develop innovative business models, and sustainably enhance your competitiveness.

Table of Content

PART A: HOW TO WORK WITH AI AND GENERATE SUCCESS IN BUSINESS

 

1      Effective AI Prompting. 

1.1            What is AI, and how can it be applied in business?

1.2            AI Prompting and Prompt Engineering

1.3            The AI Prompt Schema [AIPS] 

1.4            How to work with the Industry and Business Cases

 

PART B: FROM DIGITAL BUSINESS TO A DATA-DRIVEN ORGANIZATION

 

2      From E-Business to Digital Business

2.1            E-Business and E-Commerce

2.2            Digital Business

2.3            Network Effects and Digital Leadership

2.4            Innovation, Disruption and Transformation

3      Digital Business Strategies

3.1            Platform-, Sharing Economy and Crowd Strategies

3.2            eStrategy and Business Models

3.3            Revenue Models in E-Commerce

3.4            Value Chains and Porter Strategies

4      Digital Infrastructure

4.1            Internet and Mobile Infrastructures

4.2            Cloud Computing

4.3            ePayments, Blockchain and NFTs

4.4            Algorithms, Security and Cryptography

5      E-Commerce Shops and Web Presence

5.1            Web Shops and eMarketplaces with Mass Customization

5.2            Webshops and Catalogs

5.3            Customer Lifetime Value and Customer Journey

5.4            Web Design and Analysis of Internet Usage

6      Digital Marketing and Advertising

6.1            Types of eMarketing

6.2            Consumer Purchase Decision Process / Consumer Behavior

6.3            Digital Advertising and Search Engine Marketing (SEM / SEO)

6.4            Dynamic Pricing and Long Tail

7      Social and Mobile Commerce with Location Based Services

7.1            Social Media and Online Communities

7.2            Location Based Services

7.3            Mobile Commerce and Mobile Business

8      Content Management, Online Media, Ethics and Fake News

8.1            Content Management

8.2            Automated Content Production (Generative AI/ChatGPT)

8.3            Ethics, Law and Fake News

8.4            Trust Management using Bots and Avatars

9      Digital Business-to-Business Integration

9.1            Supply Chain Management and B2B

9.2            Omnichannel

9.3            Automatization and Robotics

9.4            Industry 4.0 and Internet of Things (IoT)

10   Digital Business Analysis and Digital Transformation

10.1          Digitalization and Digital Transformation

10.2          Customer Relationship Management and Business Intelligence

10.3          Big Data Analytics and Applied Artificial Intelligence

10.4          Building a Data-Driven Business and Digital Twins

11   Digital Business in Digital Worlds

11.1          Omniverse vs. Metaverse

11.2          Virtual-, Augmented and Mixed Reality

11.3          Gaming Industry: The Digital Frontrunner

 

PART C: INDUSTRY AND BUSINESS CASES PROMPT ENGINEERING

 

12   Industry and Business Cases

12.1          Disruption and Self Driving Cars

12.1.1     WAYMO

12.1.2     TESLA

12.1.3     Review: Problems and Challenges of Disruptions

12.2          Shared Economy and On Demand Service Companies

12.2.1     AIRBN

12.2.2     UBER

12.2.3     Review: Problems and Challenges of On Demand Services

12.3          Scaling Effects of Cloud Service Business

12.3.1     AMAZON WEB SERVICES (AWS)

12.3.2     MICROSOFT AZURE

12.3.3     Review: Problems and Challenges of Cloud Service Provider

12.4          B2C E-Commerce Online Shops

12.4.1     TEMU

12.4.2     AMAZON

12.4.3     SHEIN

12.4.4     OTTO

12.4.5     ALIBABA

12.4.6     Review: Problems and Challenges of E-Commerce

12.5          Search Engine Market

12.5.1     GOOGLE /Alphabet 

12.5.2     BING

12.5.3     METAGER

12.5.4     Review: Problems and Challenges of the Search Engine Market

12.6          Social Networks

12.6.1     META / FACEBOOK

12.6.2     MICROSOFT / LINKEDIN

12.6.3     X / TWITTER

12.6.4     Review: Problems and Challenges of Social Networks

12.7          Generative AI (OPEN AI / ChatGPT and GOOGLE / Gemini)

12.7.1     OPENAI / Chat GPT

12.7.2     GOOGLE / Gemini

12.7.3     Review: Problems and Challenges of Generative AI Service Companies

12.8          B2B E-Commerce Case

12.8.1     SHOPIFY

12.8.2     EBAY

12.8.3     SALESFORCE

12.8.4     SAP

12.8.5     Review: Problems and Challenges of B2B E-Commerce

12.9          Transformation in the Media Industry

12.9.1     NETFLIX

12.9.2     SONY PlayStation

12.9.3     SPOTIFY

12.9.4     Review: Problems and Challenges of the Media industry

12.10       Potential of Digital Worlds (Metaverse) 

12.10.1       META (Metaverse) 

12.10.2       ALPHABET (GOOGLE's Metaverse Initiative) 

12.10.3       APPLE (Apple's Metaverse Initiative) 

12.10.4       Review: Problems and Challenges of the Metaverse

 

Prof. Dr. Swen SchneiderID: 14849
letzte Änderung: 09.01.2026