Digital Innovation and Entrepreneurship
E-Business offers the opportunity for increasing the competitiveness of enterprises (with innovative business models, with personalized services, business analytics etc.) and the creation of new enterprises exploiting the potential of digital media (eg internet). Innovation is also an essential tool in the modern business environment for increased productivity, value added impact, international competitiveness and sustainable development. This course covers the above two trends (ie the connection of digital services and new entrepreneurship) through an interdisciplinary approach
- The students to acquire the specialized knowledge in technical and organizational aspects of e-business
- To be able to understand the potential of innovation and strategy for dynamic new companies (start-ups)
- To obtain the necessary knowledge to design innovative technological services / products and the development of a comprehensive business plan
- To use the above in order to create innovative business models / services / business in a real life environment with emphasis in new technologies
The course includes topics such as:
- Business models of e-business
- Technological and functional developments in digital media
- Design innovationw in business services / products, processes etc.
- Strategy for innovation and digital entrepreneurship
- Design and development of a business plan
- Development and funding new businesses
- Critical success factors in the running of new business
The course deals with the exploration of theoretical currents and schools of thought around the existence, interpretation, and analysis of the phenomenon of organizations. Why are there organizations in the form we know them, and not in others, alternatives? How can we understand them? How can we interpret their behavior?
There is a plethora of theories that address the above questions, theories that come mainly from the basic disciplines of sociology and economic science. In this lesson we will discuss some of the most important and influential of these theories. We will refer to their problems, to the conceptual tools and arguments / arguments they use to reorganize the phenomenon of organization and organization, we will see their fields of application as well as the empirical findings that verify (or reject) their basic assumptions.
Final aim is to familiarize students with the theoretical currents and optical targeting, each from his own perspective, to explain and shed light on the existence and functioning of organizations as a distinct social formations.
- Lesson 1: Introduction and general overview
SECTION 1: THE SCIENTIFIC BACKGROUND
- Lesson 2: Organizational Theory: the perspective of "rational" systems
- Lesson 3: Organizational Theory: the perspective of "natural" systems
- Lesson 4: Organizational Theory: the perspective of "open" systems
SECTION 2: ORGANIZATIONAL THEORIES
- Lesson 5: Contingency theory
- Lesson 6: Behavioral theory
- Lesson 7: Institutional theory ("old" and "new")
- Lesson 8: Evolutionary Theory & Evolutionary Economics
- Lesson 9: Resource Dependence
- Lesson 10: Transaction cost economics
- Lesson 11: Agency theory
- Lesson 12: Industrial Organization
- Lesson 13: Resource-based view of the firm
Big Data Management Systems
The use data in making accurate, reliable and timely decisions has become a "sine qua non" factor of success for most modern businesses and organizations. At the same time, in recent years, with the development of new technologies and applications - such as the spreading of social networks, the extensive use of smart phones, the installation of sensors etc. - the volume and format of the data has changed dramatically: We now have volumes of petabytes and exabytes data in both text, audio, video, and image formats. The need to manage and exploit this data has led to the development of a new generation of systems, models and programming tools that are still in the embryonic stage such as: Map Reduce, Hadoop and its ecosystem, NoSQL, etc. Technologies enabling parallel data processing on a large scale and fault-tolerant way. The purpose of this course is to present the basic principles of these systems and how they work.
The course contents include:
- Basic knowledge: query processing, distributed and parallel query processing, distributed systems
- Programming language: Python
- MapReduce, Hadoop and ecosystem
- NoSQL, Key-Value Systems, Learning Redis
- NoSQL, Document-Store Systems, MongoDB learning
- Data Flow Management and Applications
- Interconnectivity in Large Data Management Systems
Internship Project - Thesis
Students implement their internship project in various departments of the host organization, e.g., Marketing, Finance, HR, Logistics, IT etc. During their placement they get more familiar with the functions, practices and management systems applied within the host organization, under the close supervision of a designated manager/supervisor. This takes place in close collaboration with the academic supervisor, i.e., the designated faculty member. Alternatively, students undertake a well-defined project, assigned by the host organization and agreed with the academic supervisor regarding its actual content. Last, there is the option of the students deploying a novel entrepreneurial activity through their active participation in the corresponding team of the host organization.