KNOWLEDGE MANAGEMENT SYSTEMS

Course Description

This course provides insights to the field of knowledge management, an interdisciplinary field that integrates information systems (IS), knowledge management (KM), computer science and management studies. The course aims to provide the strategic importance of knowledge management and information systems in order to help organizations grow. As knowledge drives society, KM and IS to accumulate, manage and transfer that knowledge become crucial. Therefore, barriers which prevents accumulation of knowledge, factors which make organizations vulnerable and the ways how IS can be used for effective KM will be analyzed. This course will examine knowledge valley theory, big data and departmentalization.

KNOWLEDGE MANAGEMENT SYSTEMS

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Categorize the state art of the innovation tools and apply it on selected cases
2. 02 Develop an intellectual framework to critically assess innovative approaches
3. 03 Evaluate the issues and challenges associated with successful and unsuccessful implementation of new innovative practices
4. 04 Analyse the impact of innovation on virtual organizations, SMEs and commercial companies
5. 05 Criticize the current innovative practices and provide improvements for current practices

Course Syllabus

Reference Books & Course Materials

1. 01 Mellor, R. B. (2013). Innovation Management. Globe
2. 02 Mellor, R. B. (2015). Achieving Enterpise: Teaching Entreprenuership and Innovation in Business and Academia. Hamburg; EUL Verlag Publication
3. 03 Related Articles
4. 04 Case Studies

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
2. Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
3. Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
4. Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
5. Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
6. Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
7. dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
8. Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
9. Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
10. Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
11. Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
12. Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.

Po-Lo Matrix

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