E-Entrepreneurship - The Enterprise of the Future
- Faculty
Faculty of Business Management and Social Sciences
- Version
Version 1 of 03.02.2025.
- Module identifier
22B1768
- Module level
Bachelor
- Language of instruction
English
- ECTS credit points and grading
5.0
- Module frequency
only summerterm
- Duration
1 semester
- Brief description
The digital transformation of todays businesses and society represents a key factor for success in the world of tomorrow. Both the optimization potentials of digitalizing the value-chain of enterprises as well as offering intelligent products and services will enable future companies to be competitive and resilient to external influences.
Therefore it is most relevant for students to understand how a company can be designed along the digital value-chain and how innovative and intelligent products and services can be created for the ever challenging market of tomorrow.
Goal of this module is to enable students to identify and specify intelligent products and services, to model a digital-optimized company and to setup resilient business plans in real world settings.
- Teaching and learning outcomes
1. eEntrepreneurship - An Introduction
2. Common Business Models
3. Business Models based on Digital Technologies and Intelligent Products and Services
4. The Design of Digital Business Models and Intelligent Products and Services
4.1 The Innovation and Ideation Process: From the Idea to an Intelligent Product and Service
4.2 The Value Proposition Design: Meeting Customers and Markets Expectations
4.3 The Business Model Generation: Specifying the Buildings Blocks of a Digital Company
5. Transforming Business Models into Concrete Startups
5.1 The Business Idea and Strategy
5.2 The Offer - Intelligent Products and Services
5.3 Digital Technologies as a Backbone of the Startup and its Products and Services
5.4 Market- and Competitors in the Startups-Environment
5.5 Customers specification
5.6 Marketing in the Digital World
5.7 Organizational Setup - Organizational Structure, Processes, IT-Organization
5.8 Finance Plan for a sound and growing perspective
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Hours of workload Type of teaching Media implementation Concretization 45 Lecture Presence - Lecturer independent learning Hours of workload Type of teaching Media implementation Concretization 65 Work in small groups - 25 Exam preparation - 15 Preparation/follow-up for course work -
- Graded examination
- Written examination or
- Homework / Assignment or
- Portfolio exam
- Remark on the assessment methods
The portfolio exam covers 100 points and consist of a written examination (HA) and a presentation (PR). The HA is weighted by 70 points and the PR is weighted by 30 points.
- Exam duration and scope
Written examination: in accordance with the valid study regulations
Written paper: approx. 10-15 pages
PFP:
- Written paper: approx. 10 pages
- Presentation: approx. 15-30 minutes
The requirements are specified in the respective lectures.
- Recommended prior knowledge
Fundamental knowledge in business informatics / information management as well as in the functional areas of business management.
- Knowledge Broadening
Students can specify the building blocks of digital enterprises.
- Knowledge deepening
Students can detail on specific characteristics of intelligent products and services.
- Knowledge Understanding
Students can reflect current methods and models of digital businesses with respect to the digital society and its challenges and future.
- Application and Transfer
Based on the shown methods, student can setup digital business models and concretize them into business plans to setup concepts for startups.
- Academic Innovation
Students apply and explain current research methods of business modelling and digital entrepreneurship in the context of the digital society. From that they derive new research questions relevant to the environment, e.g. with regard to data security and data analysis.
- Communication and Cooperation
Students develop new business models in concrete startup-settings, e.g. group-work. They communication and collaborate together among the group members and reflect and argue versus the whole semester-group as well as internal and external experts.
- Academic Self-Conception / Professionalism
Students take positions in the modeled digital business startups such as CEO, Marketing, Development, Operations and Sales Managers. As such they argue, evaluate and reflect their tasks and responsibilities within the proposed startup.
- Literature
Bieger, T. / Zu Knyphausen-Aufseß, D. / Krys, C. (2011): Innovative Geschäftsmodelle: Konzeptionelle Grundlagen, Gestaltungsfelder und unternehmerische Praxis. Verlag: Springer
Gassmann, Oliver; Frankenberger, Karolin; Csik, Michaela: The St. Gallen Business Model Navigator, Working Paper, https://www.bmilab.com/business-model-navigator-full-paper/
Gausemeier, Jürgen; Wieseke, Jan; Echterhoff, Benedikt; Isenberg, Lukas; Koldewey, Christian; Mittag, Tobias; Schneider, Marcel: Mit Industrie 4.0 zum Unternehmenserfolg – Integrative Planung von Geschäftsmodellen und Wertschöpfungssystemen. Heinz Nixdorf Institut, Universität Paderborn (Hrsg.), Paderborn, 2017
Kollmann, Tobias: Digital Entrepreneurship: Grundlagen der Unternehmensgründung in der Digitalen Wirtschaft. aktuelle Auflage, Springer Springer Gabler, Wiesbaden, aktuelle Auflage
Mitchell, Donald; Coles, Carol: The ultimate competitive advantage of continuing business model innovation. Journal of Business Strategy, 24 (5), 2003, S. 15–21
Osterwalder, Alexander; Pigneur, Yves: Business model generation - A handbook for visionaries, game changers, and challengers. Wiley, Hoboken, N.J., current edition
Osterwalder, Alexander; Pigneur, Yves; Bernarda, Greg; Smith, Alan: Value Proposition Design. Campus-Verlag, Frankfurt, current edition
Schallmo, Daniel: Geschäftsmodelle erfolgreich entwickeln und implementieren. Springer, Gabler, Berlin, Heidelberg, 2013
Schmidt, Andreas: Wissenszentriertes Kundenbeziehungsmanagement – Wie Customer Artificial Intelligence Ihr Unternehmen smart macht. Kohlhammer Verlag, Stuttgart, 2021
Weill, Peter; Woerner, Stephanie L.: Optimizing your digital business model. MIT Sloan Management Review, Cambridge, 2013
- Linkage to other modules
This module connects to preceeding basic modules in the field of business management studies as described in the chapter of "Empfohlene Vorkenntnisse" such as business informatics / information management and the functional areas of marketing, operations, human ressources and controlling.
The knowledge aqciured in those modules allows to build upon fundamental topics in this module such as business modelling and business plan development.
- Applicability in study programs
- International Business and Management
- International Business and Management, B.A.
- International Management
- International Management, B.A.
- Business Administration and Management
- Business Administration and Management, B.A.
- Person responsible for the module
- Schmidt, Andreas
- Teachers
- Schmidt, Andreas