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SMART Technologies in Business_073

SMART Technologies in Business_073

COURSE ANNOTATION

TRAINING COURSE "SMART TECHNOLOGIES IN BUSINESS"

Recommended for students pursuing a second (master’s) higher education level.

The "SMART Technologies in Business" training course aims to integrate, based on a systematic approach, fundamental components of economic and management theory, strategic management, financial modelling of actual and projected enterprise performance, and modern computer technologies to develop contemporary business process management mechanisms. The course systematically and comprehensively presents a set of modern management technologies that transform unstructured information about an enterprise’s internal and external environment into a structured computer-based framework to identify strategic business opportunities.

Course Objective

The course aims to develop a systematic understanding of business knowledge bases and acquire practical skills for the integrated application of modern SMART technologies in business activities.

Interdisciplinary Connections

This course closely relates to strategic and project management, organizational development management, and managerial decision-making.

Learning Outcomes, Teaching Methods, and Assessment Tools

Table 1 – Learning Outcomes, Teaching Methods, and Assessment Tools for "Training Course SMART Technologies in Business"

Learning Outcomes	Teaching Methods	Assessment Tools
Knowledge
1.1 Systemic principles of integrating information and management technologies for enhancing cognitive processes and automating managerial procedures	Lectures, discussions	Surveys, interviews, testing
Skills
2.1 Analysing the purpose and capabilities of integrating specific computer technologies with management technologies based on enterprise scale and information strategy	Demonstration, case studies, mini-training	Portfolio, project preparation, testing
2.2 Enhancing and Optimizing Enterprise Knowledge Base Architecture	Project-based learning, brainstorming
2.3 Selecting and applying methods and tools for automating individual economic management processes	Demonstration, case studies, mini-training
2.4 Systematically and integrally justifying enterprise decisions regarding the automation of local operational and strategic management processes	Project-based learning, brainstorming
2.5 Utilizing specialized software for visualizing enterprise economic data analysis results	Demonstration, mini-training
Communication
3.1 Justifying the selection of software tools for remote communication among enterprise employees in operational and strategic management	Project-based learning, case studies, mini-training	Portfolio, project preparation, reflection
3.2 Presenting analytical data processing results	Demonstration, project-based learning
3.3 Selecting software solutions and structuring communication systems in project teams	Mini-training, project-based learning
Responsibility and Autonomy
4.1 Acting consciously and socially responsibly based on ethical considerations and integrity principles, both independently and within a team, while performing professional tasks	Report preparation, analytical tasks	Portfolio, reports, final assessment

Course Content by Topics

Module 1. Systematic Characteristics of SMART Technologies in Business

Introduction to the "SMART Technologies in Business" training course
The technology of platform-based solutions in business
Automation technologies for management and team collaboration in network organizations
Enterprise knowledge base development technologies

Module 2. Practical Tools of SMART Technologies in Business

Analytical tools for data visualization and identifying key success factors in business
Communication tools for strategic business planning
Presentation technologies in remote communication
Systematic integration of digital tools in localized business operations

Faculty Members Teaching the Course

Olena Hrebeshkova, PhD in Economics, Associate Professor, Department of Business Economics and Entrepreneurship, olena.hrebeshkova@kneu.ua

Olena Kyzenko, Doctor of Economics, Professor, Department of Business Economics and Entrepreneurship, olena.kyzenko@kneu.ua

Recommended Information Sources

1. Bulyha O. The Cohesive Family of MS Power BI Software. Kyiv: NTU, 2022.

2. Open Data for Business. URL: https://osvita.diia.gov.ua/

3. Everything About Blockchain, Bitcoin, and Cryptocurrencies. URL: https://osvita.diia.gov.ua/

4. Hrebeshkova O. M. SMART Technologies in Modelling Emotionally Intelligent Online Courses (Case Study: Microsoft Teams). Economic Development Strategy of Ukraine. 2022. Issue 51. pp. 164-175. DOI: 10.33111/sedu.2022.51.164.175

5. Hrebeshkova O.M., Dovbenko D.I. Effectiveness and Risks of E-commerce Platforms in Ukraine. Effective Economics. 2020. No. 2. DOI 10.32702/2307-2105-2020.2.153

6. Hrebeshkova O.M., Lopato M.I. Digitalization of Business as a Strategic Direction for Ukraine’s Economic Development. Economic Development Strategy of Ukraine. 2021. Issue 48. pp. 36-47. DOI: 10.33111/sedu.2021.48.036.047

7. Martin Roger, Riel Jennifer. Decision-making Techniques: How Leaders Make Choices. Kyiv: Nash Format, 2019.

8. Smart Industry in the Digital Economy Era: Perspectives, Directions, and Development Mechanisms.Monograph edited by Academician V.P. Vyshnevskyi, National Academy of Sciences of Ukraine, Institute of Industrial Economics, Kyiv, 2018.

9. Feshchuk V., Matiushko V., Chernev Ye., Yurchak O., Lavryk Ya., Amelin A. Ukraine 2030e – A Country with a Developed Digital Economy. Ukrainian Institute for the Future. https://strategy.uifuture.org/kraina-z-rozvinutoyu-cifrovoyu-ekonomikoyu.html

10. Schwab Klaus. The Fourth Industrial Revolution. Kharkiv: Club of Family Leisure, 2019.

11. Artificial Intelligence. URL: https://osvita.diia.gov.ua/

Last redaction: 20.02.25

Kyiv National Economic University named after Vadym Hetman

SMART Technologies in Business_073