The rapid advancement of Industry 4.0 and Industry 5.0 technologies presents unprecedented opportunities to align start-up incubators with smart cities’ sustainability goals, fostering innovation and addressing complex urban challenges. This study introduces the Smart City-Incubator Sustainability Framework (SCISF)—a structured conceptual model that integrates sustainable business model innovation, digital transformation, and circular economy principles into incubator practices. Through an integrative literature review, conceptual framework development, and empirical application, the research identifies six key components essential for aligning incubators with smart city objectives: strategic vision alignment, technological integration, circular economy practices, public engagement, scalability, and impact monitoring. The framework’s empirical application to the Gdańsk Entrepreneurship Foundation (GEF) incubator demonstrates its effectiveness in assessing incubator contributions to urban sustainability. The findings highlight strengths in public engagement and strategic vision, alongside opportunities to enhance Industry 5.0 integration, cross-sector partnerships, and ESG-driven impact reporting. By bridging the gap between city objectives and start-up ecosystems, the SCISF provides actionable insights for policymakers, urban planners, and incubator managers to foster smart, circular, and resilient urban environments.

Artykuł z zasobów e-mentora: Praca zdalna podczas epidemii COVID-19 w Polsce - wyniki badania empirycznego. E-mentor - internetowe czasopismo poświęcone nastepującym zagadnienion:e-learning, czasopismo, sgh, szkoła główna handlowa, internetowe czasopismo, e-mentor, nauczanie przez internet, kształcenie ustawiczne, metody kształcenia, formy kształcenia.

Purpose: The advancements in deep learning and AI technologies have led to the development of such language models, in 2022, as OpenAI’s ChatGPT. The primary objective of this paper is to thoroughly examine the capabilities of ChatGPT within the realm of business-process management (BPM). This exploration entails analyzing its practical application, particularly through process-mining techniques, within the context of automotive after-sales processes. Originality: this article highlights the issue of possible ChatGPT application in selected stages of after-sales processes in the automotive sector. Methods: to achieve the main aim of this paper, methods such as a literature review, participant observation, unstructured interviews, CRISP-DM methodology, and process mining were used. Findings: This study emphasizes the promising impact of implementing the ChatGPT OpenAI tool to enhance processes in the automotive after-sales sector. Conducted in 2023, shortly after the tool’s introduction, the research highlights its potential to contribute to heightened customer satisfaction within the after-sales domain. The investigation focuses on the process-execution time. A key premise is that waiting time represents an additional cost for customers seeking these services. Employing process-mining methodologies, the study identifies stages characterized by unnecessary delays. Collaborative efforts with domain experts are employed to establish benchmark durations for researched processes’ stages. The study proposes the integration of ChatGPT to improve and expedite stages, including service reception, reception check-out, repair and maintenance, and claim repair. This holistic approach aligns with the current imperatives of business-process improvement and optimalization, aiming to enhance operational efficiency and customer-centric service delivery in the automotive after-sales sector.

The article investigates the differentiation of business processes in contemporary organisations based on their dynamics (predictability). It presents and summarises research on the nature of business processes in Industry 4.0/5.0 conducted by researchers from 7 Polish universities. The study combines a systematic literature review based on the SCOPUS database and a survey of 466 respondents with an analysis of 12,573 processes. Filling the cognitive gap in Industry 4.0/5.0 organisations, the study reveals that nearly 60% of all BPs are semi-structured processes. At the same time, it shows a strong relationship between the importance of processes for the organisation and the dynamics of their execution. This finding highlights the importance of adaptability and flexibility in organisational dynamics, reflecting the nuanced nature of most BPs. The article presents original research on a diverse sample of Polish enterprises based on the simplified Business Processes Nature Assessment Framework. The presented research results indicate the need to update the essential elements of the BPM concept, such as BPM Lifecycle, BPM implementation method, or BPM maturity assessment, to consider various assessment criteria and implementation methods depending on the nature of BPs. The study contributes to advancing both theoretical knowledge and practical applications in the field of BPM, providing valuable insights for scholars, practitioners, and policymakers alike.

Biblioteka cyfrowa regionu śląskiego - kulturowe dziedzictwo Śląska w jego historycznej i współczesnej różnorodności.