Szczegóły publikacji
Opis bibliograficzny
Unlocking the potential of artificial intelligence in roject management: insights from the Polish IT sector / Helena STAROWICZ-RAJCA, Dagmara LEWICKA, Agnieszka LASYK, Arkadiusz WILCZEWSKI, Monika PEC // Scientific Papers of Silesian University of Technology [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2720-751X. Organization & Management ; ISSN 2720-751X. — 2024 — no. 213, s. 553–567. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 565–567, Abstr.
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 158508 |
|---|---|
| Data dodania do BaDAP | 2025-04-07 |
| Tekst źródłowy | URL |
| DOI | 10.29119/1641-3466.2024.213.39 |
| Rok publikacji | 2024 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Zeszyty Naukowe Politechniki Śląskiej = Scientific Journal of Silesian University of Technology, Organizacja i Zarządzanie = Organization & Management |
Abstract
Purpose: This article examines the application and impact of Artificial Intelligence (AI) in Project Management within the IT sector in Poland. It provides insights into how AI tools are utilized in project planning, execution, and decision-making processes, contrasting findings with existing studies predominantly focused on reviewing AI tools rather than their practical implementation. By shifting the focus to real-world usage, this research aims to provide a deeper understanding of how AI is integrated into the daily workflows of IT companies, highlighting both the benefits and challenges faced in applying AI technologies to Project Management. Design/methodology/approach: The research combines a comprehensive literature review with a multiple-case study approach. Four firms operating in the IT sector in Poland were analyzed: three international companies with substantial market presence in Poland and one small, local enterprise. The study explores their adoption of AI-driven Project Management tools, examining practical implementations and outcomes. Findings: The study identifies varied adoption levels and applications of AI in Project Management among the selected firms. While international companies showcased advanced AI integration, the local enterprise demonstrated innovative, tailored approaches to address specific challenges. Findings reveal that AI enhances efficiency in resource allocation, risk management, and team collaboration. However, barriers such as cost, employee training, and organizational resistance were noted, particularly in smaller firms. In larger companies, privacy concerns, regulatory requirements, and the necessity for secure data storage and processing significantly limit AI adoption. These organizations must also ensure thorough legal vetting and compliance with Data Protection Agreements (DPAs), adding layers of complexity to the implementation process Research limitations/implications: The scope is limited to IT companies operating within the Polish market, which may not fully represent trends in other sectors or regions. Future research could expand the sample size and explore cross-industry applications of AI in Project Management. The findings underscore the need for tailored strategies to overcome challenges in AI adoption, particularly for small and medium-sized enterprises (SMEs). Practical implications: This paper offers actionable insights for IT companies seeking to implement AI in Project Management. It highlights the importance of organizational readiness, and alignment of AI tools with project objectives. Lessons from international firms and the innovative practices of local enterprises provide a balanced perspective for practitioners and policymakers. Originality/value: While most of the current literature emphasizes theoretical analyses of AI implementation in Project Management, including discussions on challenges, potential benefits, and conceptual frameworks, this study takes a more practical approach. By conducting interviews and examining real-world applications of AI in four IT firms operating in Poland, the research provides unique insights into the tangible use cases, organizational strategies, and contextual factors shaping AI adoption. This practical orientation offers valuable guidance for practitioners and researchers aiming to bridge the gap between AI assumption and implementation.
