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Results for “Automation”: 7.

Chapter 2025

A CONCEPT FOR AN INTELLIGENT TELEINFORMATION SYSTEM TO MITIGATE BOTTLENECKS AND OPTIMIZE SALES DURING RECURRING DEMAND PEAKS.

Authors / editors: Grzegorz Szyjewski, Tomasz Łukaszewski

Published in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study aims to develop an intelligent teleinformatics system to alleviate bottlenecks and optimize sales efficiency during recurring demand peaks at points of sale. The system redistributes workload intensity by shifting selected tasks to periods of lower demand, the…

DOI: 10.18276/978-83-8419-053-1-27 · ISBN: 978-83-8419-053-1

Chapter 2025

AI AND AUTOMATION IN IT: SHAPING FUTURE JOBS AND SKILLS

Authors / editors: Magdalena Ławicka, Udaya Mohan Devadas, Ewa Kowalewska

Published in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: Amid the new developments in AI and Automation across the globe, it is noteworthy that the IT industry in Poland also shows growing trends in the applications of AI and automation technologies in the IT sector. It has shown that these trends have impacted on the labor ma…

DOI: 10.18276/978-83-8419-053-1-12 · ISBN: 978-83-8419-053-1

Chapter 2025

THE ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING THE EFFICIENCY OF MANAGING THE PROCESS OF COLLECTING EMPIRICAL DATA IN FIELD RESEARCH

Authors / editors: Jordan Klimek, Anna Kuczyńska, Vjosa Hajdari, Izabela Szamrej-Baran

Published in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: The article examines the application of artificial intelligence (AI) in the design and implementation of social research, with a focus on the processes of conceptualization and operationalization, empirical data collection, and research ethics. Need for the study: Des…

DOI: 10.18276/978-83-8419-028-9-21 · ISBN: 978-83-8419-028-9

Chapter 2025

EVALUATION OF AUTOMATED CUSTOMER ASSISTANCE: SEGMENTAL ANALYSIS OF NASK PARTNERS ON THE POLISH MARKET

Authors / editors: Maciej Lewandowski

Published in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: The study aims to evaluate the current potential for automated customer assistance among NASK partners in Poland. It analyses the distribution of domain registrars across different maturity segments, identifies the most and least frequently implemented automation element…

DOI: 10.18276/978-83-8419-028-9-20 · ISBN: 978-83-8419-028-9

Chapter 2025

UNDERSTANGING THE POTENTIAL OF AI: INSIGHTS FROM POLISH ACCOUNTANTS

Authors / editors: Konrad Biercewicz, Stanisław Hońko

Published in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: The increasing integration of artificial intelligence (AI) in accounting raises questions about professionals' willingness to adopt AI tools and the factors influencing this adoption. This study examines key determinants of AI adoption, including openness to technologica…

DOI: 10.18276/978-83-8419-028-9-12 · ISBN: 978-83-8419-028-9

Chapter 2025

CONCEPT OF AN AI-BASED SYSTEM FOR ENHANCING THE ACCESSIBILITY OF HOSPITAL WEBSITES

Authors / editors: Izabela Rejer, Ewa Krok

Published in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: The purpose of the paper is to present the concept of an AI-based system that automates the process of verifying and repairing accessibility errors on hospital websites. The system aims to ensure compliance with international WCAG standards and improve websites usability…

DOI: 10.18276/978-83-8419-028-9-11 · ISBN: 978-83-8419-028-9

Chapter 2025

EMERGING TRENDS AND FUTURE DIRECTIONS OF AI IN AUDITING: INSIGHTS FROM A BIBLIOMETRIC PERSPECTIVE

Authors / editors: Katarzyna Renik, Kamila Łuczak, Hang Zhou

Published in: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: The article aims to summarize current research trends and identify potential research directions for artificial intelligence (AI) in auditing. Need for the study: Previous studies using bibliometric methods exploring AI directly in auditing were not identified. Instea…

DOI: 10.18276/978-83-8419-028-9-05 · ISBN: 978-83-8419-028-9