Kapitel 2025
Autoren / Herausgeber: Jarosław Poteralski
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2
Purpose: The aim of the article is to assess the place of artificial intelligence and intelligent management in the assumptions of cohesion policy programs supporting the development of innovation in Poland in 2021-2027.
Need for the study: The dimension of innovation evolves …
DOI: 10.18276/978-83-8419-053-1-46 · ISBN: 978-83-8419-053-1
Kapitel 2025
Autoren / Herausgeber: Joanna Drobiazgiewicz, Agnieszka Budziewicz-Guźlecka, Anna Drab-Kurowska, Katya Antonova
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2
Purpose: The aim of this article is to identify areas for the use of intelligent management in urban mobility, to identify factors determining further development in this area and to define a strategic decision-making framework for the integration of artificial intelligence in ur…
DOI: 10.18276/978-83-8419-053-1-43 · ISBN: 978-83-8419-053-1
Kapitel 2025
Autoren / Herausgeber: Alicja Żmudzińska, Paweł Powroźnik, Maria Skublewska-Paszkowska, Katarzyna Nowomiejska, Paweł Karczmarek, Adam Kiersztyn, Kamil Jonak, Aneta Oniszczuk-Jastrząbek, Ernest Czermański, Małgorzata Skweres-Kuchta
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2
Purpose: This study aims to improve the diagnostic effectiveness of rare retinal diseases by introducing a novel classification approach that not only enhances accuracy but also supports the intelligent management of the diagnostic process through AI-based decision systems.
Fe…
DOI: 10.18276/978-83-8419-053-1-22 · ISBN: 978-83-8419-053-1
Kapitel 2025
Autoren / Herausgeber: Dariusz Czerwiński, Adam Kiersztyn, Aneta Oniszczuk-Jastrząbek, Ernest Czermański, Izolda Gorgol, Michał Pluciński
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2
Purpose: This study examines some novel approach for filling missing data in AIS databases. Proposed solution is designed for filling dynamic data in AIS systems.
Need for the study: In the era of globalization and intensive international trade, accurate monitoring of vessel a…
DOI: 10.18276/978-83-8419-053-1-21 · ISBN: 978-83-8419-053-1
Kapitel 2025
Autoren / Herausgeber: Ewa Mazur-Wierzbicka, Agnieszka Rzepka, Dariusz Czerwinski, Magdalena Czerwinska, Jacek Witkowski
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2
Purpose: In an organisation managed based on artificial intelligence, innovation plays a key role in building an effective operating model. On the other hand, developing interpersonal relationships and agile behaviours is desirable in response to the growing demands of a turbulen…
DOI: 10.18276/978-83-8419-053-1-16 · ISBN: 978-83-8419-053-1
Kapitel 2025
Autoren / Herausgeber: Artur Łabuz
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2
Purpose: This paper examines the relationship between intelligent management methods and the level of creativity among employees in the creative sector. It aims to assess how modern tools such as Design Thinking, Agile, and AI technologies support creative performance.
Need fo…
DOI: 10.18276/978-83-8419-053-1-14 · ISBN: 978-83-8419-053-1
Kapitel 2025
Autoren / Herausgeber: Mateusz Piwowarski, Paula Wiażewicz-Wójtowicz
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2
Purpose: The article introduces a research approach based on eye tracking metrics to analyse cognitive processes during the reception of teaching materials in three different visual versions.
Need for the study: There is a lack of comprehensive research demonstrating how vario…
DOI: 10.18276/978-83-8419-053-1-7 · ISBN: 978-83-8419-053-1
Kapitel 2025
Autoren / Herausgeber: Marta Starostka-Patyk, Joanna Tylkowska-Drożdż, Marcin Zawada, Helena Kościelniak, Joanna Nowakowska-Grunt
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2
Purpose: The article explores the integration of neuroscience and intelligent management in the context of a multigenerational workforce. It aims to examine how Generations X, Y, and Z perceive the applicability and usefulness of neuroscience tools and techniques in managerial pr…
DOI: 10.18276/978-83-8419-053-1-5 · ISBN: 978-83-8419-053-1
Kapitel 2025
Autoren / Herausgeber: Małgorzata Wiścicka-Fernando
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2
Purpose: This article presents results from neuromarketing EEG and VR analyses conducted on consumers' purchasing decisions and their decision-making processes in immersive virtual environments.
Need for the study: Given the increasing interest in intelligent management of con…
DOI: 10.18276/978-83-8419-053-1-1 · ISBN: 978-83-8419-053-1
Kapitel 2025
Autoren / Herausgeber: Aneta Becker, Jarosław Becker, Tomasz Zdziebko
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1
Purpose: The aim of this study was to analyze the extent of AI technology implementation in the economic activities of EU countries and to classify them based on their level of digital advancement.
Need for the study: AI plays a central role in the digital transformation of en…
DOI: 10.18276/978-83-8419-028-9-40 · ISBN: 978-83-8419-028-9
Kapitel 2025
Autoren / Herausgeber: Zuzanna Kłos-Adamkiewicz, Federica Rossi
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1
Purpose: This paper analyses the challenges for urban mobility in creating transport services for older adults, including Intelligent Management with the support of Artificial Intelligence (AI) solutions. It emphasizes sustainable mobility goals through the reduction of car depen…
DOI: 10.18276/978-83-8419-028-9-39 · ISBN: 978-83-8419-028-9
Kapitel 2025
Autoren / Herausgeber: Monika Spychalska-Wojtkiewicz
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1
Purpose: The paper aims to clarify the direction of changes in marketing management. This analysis focused on creative sector enterprises that come from Poland. The paper is outlining COVID-19 pandemic impact on the management policy implemented in companies and what has been cha…
DOI: 10.18276/978-83-8419-028-9-34 · ISBN: 978-83-8419-028-9
Kapitel 2025
Autoren / Herausgeber: Marzena Frankowska, Katarzyna Cheba, Maria Anityasari, Putu Dana Karninggsih
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1
Purpose: Digital transformation is conditioning the implementation of Intelligent Management in the enterprise and the collaborative system (supply chain & networks). The aim is to answer the following questions: What is the interdependence of using digital maturity models and In…
DOI: 10.18276/978-83-8419-028-9-19 · ISBN: 978-83-8419-028-9
Kapitel 2025
Autoren / Herausgeber: Ilona Kędzierska-Bujak
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1
Purpose: The main aim of this article is to present some possibilities which artificial intelligence (AI) and intelligent management (IM) can give to companies in achieving strategic objectives by enhancing decision-making and organizational performance.
Need for the study: AI…
DOI: 10.18276/978-83-8419-028-9-17 · ISBN: 978-83-8419-028-9
Kapitel 2025
Autoren / Herausgeber: Anna Pluta, Justyna M. Bugaj
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1
Purpose: This study explores the relationship between employees' effectiveness (EE) and intelligent management (InMan), focusing on how modern technologies, particularly AI, influence workplace performance. It examines whether InMan can enhance EE, and identifies key factors shap…
DOI: 10.18276/978-83-8419-028-9-09 · ISBN: 978-83-8419-028-9
Kapitel 2025
Autoren / Herausgeber: Marta Młokosiewicz, Agnieszka Piasecka
Veröffentlicht in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1
Purpose: The aim of the study was to examine the possibility of using the concept of dignity-based management in so-called intelligent management and to develop recommendations for managers using AI systems in the human resources management process based on dignity-based manageme…
DOI: 10.18276/978-83-8419-028-9-08 · ISBN: 978-83-8419-028-9