Socio Technical Systems in the Shaping and Development of Digital Business Model

The book presents a multidimensional approach to shaping digital platforms in the context of the determinants of complexity theory, business ecosystems and the taxonomy of various approaches to designing digital transformation solutions.

Info autore

Marek Jab¿o¿ski, Associate Professor- specializing in management science, is the University Professor of UWSB MERITO in Poznä and is also President of the Management Board of OTTIMA plus Limited Company. A scientist, entrepreneur, advisor, expert and business Analyst, he has authored many analyses and management, technical and economic expertise and books and articles. He is the initiator of a scientific and research venture called "Scientific Confraternity of Evidence Research" where he carries out scientific research on the use of the Evidence Based Management concept.

Dettagli sul prodotto

• Autori: Marek Jablonski
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 21.10.2025
• Categoria: Scienze umane, arte, musica > Arte > Architettura; Scienze sociali, diritto, economia > Economia > Altro
• EAN: 9781032598215
• ISBN: 978-1-0-3259821-5
• Numero di pagine: 184
• Categorie: BUSINESS & ECONOMICS / Development / Sustainable Development, Architecture, Artificial Intelligence, Product Design, BUSINESS & ECONOMICS / Green Business, BUSINESS & ECONOMICS / Production & Operations Management, BUSINESS & ECONOMICS / Development / Economic Development, COMPUTERS / Cybernetics, TECHNOLOGY & ENGINEERING / Operations Research, Electrical Engineering, Artificial Intelligence (AI), Engineering: general, Civil engineering, surveying & building, Electronics engineering, Purchasing & supply management, Production & quality control management, Cybernetics & systems theory, Civil engineering, surveying and building, Production and quality control management, Purchasing and supply management, Cybernetics and systems theory, Organizational Effectiveness, digital transformation strategies, management science research, complexity theory applications, engineering management models, platform ecosystem design, innovative algorithm development in business