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2 2023

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Automation from the perspective of modern services sector in Poland

Sobotka Bartosz, Leoniak Krzysztof Jan, Muda Rafał, Hamerski Damian, Kędra Michał

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2023

z. 175

449--466

Purpose: The aim of the study was to find out how automation is perceived by representatives of the companies from the Modern Business Services Sector (MBSS) in Poland. Research questions were posed, which referred to the assessment of the importance of automation and the readiness of companies to implement it. Design/methodology/approach: The answers were obtained on the basis of the realisation of 20 individual in-depth interviews - conducted among representatives of various companies from the MBSS. Findings: Participants in the study positively assessed the importance of automation in the operation of their companies, particularly from the perspective of maintaining competitiveness and keeping up with economic trends. Respondents declared a high level of readiness to implement work automation systems and programmes, although only a small proportion of the companies represented were actually taking any action in this regard. Both organisational culture, company resources and customer demand were identified as key facilitators of automation. In contrast, customer relationships and insufficient company resources were the most important barriers. Originality/value: There is an insufficient amount of scientific studies on factors supporting and blocking the introduction of automation in MBSS enterprises in Poland. Due to the fact that the conclusions from foreign literature do not allow for generalisation to enterprises in Poland, the overarching aim of the work presented in this article is to fill the gap in the literature concerning factors supporting and blocking the introduction of automation in MBSS enterprises in Poland.

Towards Intelligent Automation (IA): literature review on the evolution of Robotic Process Automation (RPA), its challenges, and future trends

Siderska Julia, Aunimo Lili, Süße Thomas, von Stamm John, Kedziora Damian, Aini Suraya Nabilah Binti Mohd

Engineering Management in Production and Services

2023

Vol. 15, no. 4

90--103

Robotic Process Automation (RPA) and Artificial Intelligence (AI) integration offer great potential for the future of corporate automation and increased productivity. RPA rapidly evolves into Intelligent Process Automation (IPA) by incorporating advanced technologies and capabilities beyond simple task automation. The paper aims to identify the organisational, technological, and human-centred challenges that companies face in transitioning from RPA to IPA. The research process involved conducting the scientific literature search using the ResearchRabbit AI tool, which provided a set of reference papers relevant to the formulated research questions. As a result of the conducted literature review, the authors identified key challenges and possible countermeasures for companies transitioning from RPA to IPA. The resulting collection of reference scientific articles formed the basis for this study’s content and substantive analysis. Furthermore, this study contributes by identifying artificial intelligence techniques and algorithms, such as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), predictive analytics, and others, that can be integrated with RPA to facilitate the transition to IPA. The paper also offers insights into potential future research areas.