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Concept and prototype of the safety system for pedestrians and cyclists in the immediate vicinity of larger vehicles
No full textThe article presents selected methods and technical solutions currently used to warn and inform road users about the possibility of a pedestrian-driver collision situation. The solutions available on the market do not provide solutions for the transmission of two-way information in the pedestrian-driver relationship for systems built on large-size vehicles. Possible detection devices are presented along with their evaluation, and additionally the research process confirming the validity of the adopted approach in relation to the created system is presented. A prototype of the System supporting the safety of vulnerable road users in the vicinity of large-size vehicles was also presented, meeting the assumptions regarding informing both drivers approaching large-size vehicles located in bus bays, sensitive places where pedestrians and cyclists are hit. The presented system stands out from among the generally available systems for increasing the safety of pedestrians and cyclists. The biggest innovation of the system is the introduction of the possibility of communication between users around large-size vehicles, the ability to transmit information to the outside to both drivers and pedestrians without having to engage the attention of the driver of the vehicle on which the system is built, which can significantly increase the chances that at the time of a potential dangerous situation, one of the parties will react correctly and thus no accident will occur. The article describes publicly available solutions as well as an innovative safety system for pedestrians and cyclists around large-size vehicles
Analysis of container traffic in selected member countries of the Organization for Co-Operation between Railways (OSJD) until 2021
No full textThe aim of the article is to analyze transport volumes in rail freight traffic between Asia and Europe in the selected countries of the members of the Organization for Co-Operation between Railways (OSJD) until 2021 and to indicate the competitiveness factors.
The research methodology is the analysis of secondary sources and materials of OSJD member countries. The research was carried out on the basis of data obtained as part of own analytical work carried out in the field of transport within the OSJD. In the final analysis, attention is drawn to the effects of the armed conflict between the OSJD member countries.
According to the obtained results, in 2021 rail freight services in the OSJD member countries demonstrated stability as regards transport volumes. Joint actions of the railways of the OSJD member countries led to positive results, including increased container volumes in international rail traffic between Asia and Europe. The analyses also showed transport increases in countries along the railway transport corridors under the New Silk Road concept and fluctuations in transport volumes in other countries. The main factors in the competitiveness of rail traffic between Asia and Europe turned out to be the speed of transport and delivery time
Sensitivity of transport object control quality for measuring the inaccuracy of state variables
No full textThis work analyzes the sensitivity functions and optimum control of a transport and logistics process model. It explains the fundamental model of controlling safe ship movement as a differential game, and optimizing control algorithms through multi-matrix game and multi-stage positioning game. The sensitivity features for controlling safe ship in actual collision scenario are described in relation to inaccurate information of process position and variations in its varables, based on the determination of computer simulation algorithms in Matlab/Simulink software
Oryginalne i ekscentryczne produkty ubezpieczeniowe spotykane na rynku
No full textW artykule omówiono podstawowe pojęcia dotyczące ubezpieczeń oraz wskazano na fakt, że ubezpieczenia to zabezpieczenie majątku przed nieprzewidzianymi zdarzeniami losowymi. W poszczególnych częściach artykułu przedstawiono mnogość zagrożeń, od naturalnych żywiołów po złe praktyki biznesowe. W konsekwencji szerokich potrzeb klientów, zakłady ubezpieczeniowe tworzą specjalnie dla swoich klientów nietypowe produkty. Celem artykułu jest przedstawienie nietypowych produktów, wiążących się z bardzo wysokim ryzykiem, ponieważ są one niestandardowe oraz mogą się okazać kosztowne dla obu stron kontraktu. Kierowane są one do ludzi, którzy szukają dodatkowej ochrony w nietypowym sytuacjach. 
Operacje kredytowe w działalności banku
No full textW artykule omówiono zagadnienie operacji kredytowych w działalności banku. Kredyty bankowe stanowią w większości główne źródło pozyskania środków pieniężnych zarówno w przypadku osób fizycznych oraz przedsiębiorców. Dostępność oraz powszechność kredytów na przestrzeni lat bardzo się zmieniła, bowiem obecnie dużo trudniej jest otrzymać kredyt. Banki zabezpieczają się przed oszustwami oraz sytuacjami, w których możliwe byłoby niespłacenie kredytu poprzez sporządzenie kompletnej dokumentacji oraz przeprowadzając procedurę kredytową. Nie zmienia to faktu, że zainteresowanie kredytami stale się zwiększa. Celem artykułu jest przedstawienie charakterystyki operacji kredytowych w działalności banku w Polsce ze szczególnym uwzględnieniem zagadnień odnoszących się do istoty kredytu bankowego, rodzajów kredytów bankowych oraz etapów procedury kredytowej. Część empiryczna artykułu odnosi się do analizy i struktury rynku kredytowego w Polsce w latach 2011 – 2022
Visual metonymy of body parts in Krzysztof Kieślowski’s “Three colours: Blue” (1993), A pilot study
Get PDFThe study investigates the role of cognitive tools of PART–FOR–WHOLE or SOURCE–IN–TARGET conceptual metonymy and image schemas inherent in framing in highlighting characters’ inner states, emotions, intentions and actions. The study analyses each shot containing a close-up/extreme close-up of a body part in Krzysztof Kieślowski\u27s "Three Colours: Blue" (1993). It further validates research conducted by cognitive film linguists like Coëgnarts (2019a, 2019b), and Coëgnarts & Kravanja (2016a, 2016b, 2016c) who claim that framing techniques elicit image schemas that shape the viewer\u27s perception of the onscreen reality. It is argued that conceptual metonymy is employed to highlight characters’ mental states and emotions through body parts and their actions to enable the viewer to identify with the characters’ inner states, which the analysis offered confirms
Green logistics practices: The antecedents and effects for supply chain management in the modern era
No full textResearch background: Green logistics has become a focal point of interest for researchers and practitioners across diverse sectors, including operations, logistics, and supply chain management, over the past two decades. As global sustainability pressures intensify, the significance of green logistics continues to rise, driving a surge in empirical studies aimed at uncovering its far-reaching organizational impacts.
Purpose of the article: This empirical study seeks to bridge a gap in the literature by consolidating key organizational elements that have not been collectively explored. At the core of this research is an original conceptual framework, meticulously developed and validated through a comprehensive empirical survey. The framework captures nine distinct factors, grouped into three critical dimensions: (a) drivers of green logistics practices, (b) the implementation of green logistics practices, and (c) firm performance as measured by the outcomes of these practices. Notably, four factors — customer pressure, economic pressure, environmental regulatory pressure, and government support — act as independent variables, while green logistics practices serve as both an independent and dependent factor. The dependent variables span four key aspects of firm performance: operational performance, financial performance, market performance, and social reputation. More explicitly, the aim of this study is to explore the key drivers and outcomes of green logistics practices, focusing on how factors like regulatory pressures and customer demands influence their adoption, and how these practices impact different measures of firm performance.
Methods: The conceptual framework introduced in this study, organized across three dimensions, represents a novel approach that has been scarcely explored in the existing literature. To evaluate this framework, a newly developed, structured questionnaire was distributed to a carefully selected sample of Greek manufacturing companies. Respondents, including supply chain managers, operations managers, and chief executive officers, were chosen for their specialized knowledge and strategic insights. The empirical data were rigorously analysed using Structural Equation Modeling (SEM), a robust and well-established multivariate technique. This study is grounded in primary data, it is explanatory in nature as it examines cause-and-effect relationships, it is deductive as it tests (eight) research hypotheses, and quantitative through its statistical analysis of data gathered via a structured research instrument.
Findings & value added: This study contributes significant empirical insights into the implementation and impact of green logistics practices within supply chain management. Unlike previous studies, it consolidates critical organizational elements into a comprehensive framework that reveals the influence of regulatory, economic, and customer pressures on green logistics adoption. The empirical results demonstrate that environmental regulatory pressure is the strongest driver of green logistics, underscoring the importance of regulatory compliance in shaping sustainable practices. This finding is particularly relevant, as stricter environmental regulations are expected in the coming years, making it timely and impactful for both academics and practitioners. The research also highlights the tangible benefits of green logistics practices on operational, financial, and market performance, as well as social reputation. This multi-dimensional approach offers more depth into the current body of research, indicating how green logistics practices can align with broader sustainability goals, while also enhancing business competitiveness. The value added of this study lies in the integration of three sets of factors, proposing a framework that can be used by future empirical research and business executives in the future. Finally, this empirical research offers practical guidance for state policymakers that aim to promote the adoption of green logistics and maximise their positive impact for business and society. Its findings suggest that enhancing the regulatory framework and, at the same time, offering better access to government support can really enhance the adoption of green logistics
Emerging and disruptive technologies and the sustainable development goals: A state of art and research agenda
No full textCognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative artificial intelligence and cyber–physical manufacturing systems in the immersive industrial metaverse
No full textResearch background: Connected Internet of Robotic Things (IoRT) and cyber-physical process monitoring systems, industrial big data and real-time event analytics, and machine and deep learning algorithms articulate digital twin smart factories in relation to deep learning-assisted smart process planning, Internet of Things (IoT)-based real-time production logistics, and enterprise resource coordination. Robotic cooperative behaviors and 3D assembly operations in collaborative industrial environments require ambient environment monitoring and geospatial simulation tools, computer vision and spatial mapping algorithms, and generative artificial intelligence (AI) planning software. Flexible industrial and cloud computing environments necessitate sensing and actuation capabilities, cognitive data visualization and sensor fusion tools, and image recognition and computer vision technologies so as to lead to tangible business outcomes.
Purpose of the article: We show that generative AI and cyber–physical manufacturing systems, fog and edge computing tools, and task scheduling and computer vision algorithms are instrumental in the interactive economics of industrial metaverse. Generative AI-based digital twin industrial metaverse develops on IoRT and production management systems, multi-sensory extended reality and simulation modeling technologies, and machine and deep learning algorithms for big data-driven decision-making and image recognition processes. Virtual simulation modeling and deep reinforcement learning tools, autonomous manufacturing and virtual equipment systems, and deep learning-based object detection and spatial computing technologies can be leveraged in networked immersive environments for industrial big data processing.
Methods: Evidence appraisal checklists and citation management software deployed for justifying inclusion or exclusion reasons and data collection and analysis comprise: Abstrackr, Colandr, Covidence, EPPI Reviewer, JBI-SUMARI, Rayyan, RobotReviewer, SR Accelerator, and Systematic Review Toolbox.
Findings & value added: Modal actuators and sensors, robot trajectory planning and computational intelligence tools, and generative AI and cyber–physical manufacturing systems enable scalable data computation processes in smart virtual environments. Ambient intelligence and remote big data management tools, cloud-based robotic cooperation and industrial cyber-physical systems, and environment mapping and spatial computing algorithms improve IoT-based real-time production logistics and cooperative multi-agent controls in smart networked factories. Context recognition and data acquisition tools, generative AI and cyber–physical manufacturing systems, and deep and machine learning algorithms shape smart factories in relation to virtual path lines, collision-free motion planning, and coordinated and unpredictable smart manufacturing and robotic perception tasks, increasing economic performance. This collective writing cumulates and debates upon the most recent and relevant literature on cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative AI and cyber–physical manufacturing systems in the immersive industrial metaverse by use of evidence appraisal checklists and citation management software
How to measure employees’ interests so as to be a more socially-responsible employer: A proposal of a new scale and its validation
No full textResearch background: Many authors emphasize that successful human resource management (HRM) practices align with employees’ needs associated with the construct of employees’ interests. In particular, the importance of considering employees’ interests is emphasized in the process of shaping the architecture of Socially Responsible Human Resource Management (SR-HRM) systems.
Purpose of the article: The aim of the article is to contribute to understanding employees’ interests by designing and validating a measure to recognize these interests.
Methods: Through the use of literature sources and expert opinions, the authors developed a list of employee interests. Empirical data collected via the survey method in Poland was used to statistically verify the measurement scale. In particular, exploratory factor analysis and exploratory structural equation modelling were applied.
Findings & value added: This article shows that it is important to create a comprehensive list of interests, as well as validate the research tool used. The newly developed scale has 22 items and five dimensions: support and development at the level of the enterprise, employee participation, support and development at the departmental level, employment security, working conditions and remuneration. It may be used in a variety of companies, as well as in complex research models, and developed further taking into consideration the context of other countries