Wyniki wyszukiwania - BazTech

1

Innovations implemented in the technological process of bread production as a factor improving the quality of this product

Drozd Radosław, Wolniak Radosław

Zeszyty Naukowe Politechniki Poznańskiej. Organizacja i Zarządzanie

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2025

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Nr 91

247--265

EN

The aim of this article is to determine the impact that innovations implemented in the technological process have on improving the quality of bread, based on research conducted in bakeries in the Pomeranian Province in 2020-2023. Bread quality results from many factors, mainly in the technological process. One of these factors is innovation. There are no publications in the subject literature concerning the impact of innovations implemented in the technological process on improving the quality of bread. The scope of the article is restricted to the technological process, which has been isolated for the purposes of research and modelling. The ‘Introduction’ is followed by a presentation of the ‘Research methodology for improving the quality of bread in the technological process as a result of the implementation of innovations’. It should be noted that in a competitive economy, monographic research is dependent on the consent of business owners. In this situation, the established research directions were the subject of cooperation with companies in the baking industry. However, these companies did not agree, for example, to make ex ante data available. The research was conducted in two directions, i.e.: 1. The expected improvement in bread quality after the implementation of innovations in the technological process (automated and robotised technological lines and specialised machines, mainly automated) was determined. 2. Surveys were conducted on the impact of the implemented innovations on the determinants of bread quality in the technological process. The article presents the results of these studies in the form of structural distribution series together with a ‘model of the impact of innovation in the technological process on the determinants of bread quality’. Next, a comparison was made between the expected improvement in bread quality in the technological process and that perceived by the respondents (p. 5). The article concludes with a ‘Discussion’ and ‘Conclusions’.

PL

Celem artykułu jest określenie wpływu wdrożonych innowacji w procesie technologicznym na doskonalenie jakości pieczywa na przykładzie badań w przedsiębiorstwach branży piekarniczej w województwie pomorskim w latach 2020-2023. Jakość pieczywa jest wynikiem wpływu wielu czynników, które kształtują ją głównie w procesie technologicznym. Jednym z nich są innowacje. W literaturze przedmiotu brak publikacji dotyczących wpływu wdrożonych innowacji w procesie technologicznym na doskonalenie jakości pieczywa. Zakres artykułu nie wykracza poza proces technologiczny wyodrębniony do celów badań i modelowania. Po Wprowadzeniu została przedstawiona Metodyka badań dotyczących doskonalenia jakości pieczywa w procesie technologicznym na skutek wdrożenia innowacji. Należy nadmienić, że w warunkach gospodarki konkurencyjnej badania monograficzne są uzależnione od zgody udzielonej przez właścicieli przedsiębiorstw. W tej sytuacji ustalone kierunki badań były przedmiotem współpracy z przedsiębiorstwami branży piekarniczej. Przedsiębiorstwa te nie wyraziły jednak zgody np. na udostępnienie danych ex ante. Badania były prowadzone dwukierunkowo, tj.: 1. Zostało określone oczekiwane doskonalenie jakości pieczywa po wdrożeniu innowacji w procesie technologicznym (zautomatyzowane i zrobotyzowane linie technologiczne oraz specjalistyczne maszyny, głównie zautomatyzowane). 2. Przeprowadzone zostały badania ankietowe dotyczące wpływu wdrożonych innowacji na determinanty jakości pieczywa w procesie technologicznym. W artykule zaprezentowano wyniki tych badań w formie szeregów rozdzielczych strukturalnych wraz z modelem wpływu innowacji w procesie technologicznym na determinanty jakości pieczywa. Następnie dokonano porównania oczekiwanego doskonalenia jakości pieczywa w procesie technologicznym z postrzeganym przez respondentów (p. 5). Artykuł kończy się Dyskusją oraz Wnioskami.

2

The impact of innovation in the technological process on quality. Improvement: a case study of the bakery industry

Wolniak Radosław, Drozd Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2025

|

z. 222

629--645

EN

Purpose: The aim of the article is to present the impact of innovation in the technological process on the improvement of bread quality, using the bakery industry as an example. Design/methodology/approach: The literature research and the critical analysis of both, the national and foreign subject literature have been used as the research methodology. Findings: In response to the transformations occurring within the bakery industry and considering the growing demand in Poland for bread that meets consumer quality expectations, research was conducted to examine the impact of innovations in the technological process on the improvement of bread quality. The indicated survey research was carried out between 2020 and 2023, involving 51 bread producers from the Pomeranian Voivodeship, where 56 innovations implemented in the bread production technological process were identified. The analysis and evaluation of the research results were carried out in individual groups of innovations. The attempt undertaken in this article to determine the impact of the implemented innovations on improving the quality of bread indicates that the implemented innovations in the technological process had a noticeable impact on improving the quality of bread in all groups covered by the study, both for the producer and the consumer. Practical implications: Practical implications include presenting the impact of innovation in the technological process on improving the quality of bread using the bakery industry as an example. This will be an important solution in making a number of decisions by managers and bakery owners in terms of strategic use of them. Originality/value: The article may be a recommendation for manufacturing companies. The structure of the suggested management functions allows for manufacturing companies optimization, process control and manufacturing quality.

3

Organizational culture and the level of healthcare quality and patient safety in light of international experiences

Sowińska-Domagała Karolina, Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2025

|

z. 223

537--555

EN

Purpose: The aim of this study is to analyze the state of research on the relationship between organizational culture and the level of healthcare quality and patient safety in light of international experiences. Design/methodology/approach: The article is a non-systematic literature review. Searches for studies on organizational culture and healthcare quality were conducted in databases such as Google Scholar, Web of Science, PubMed, and Scopus. The search queries included the following descriptors: "organizational culture", "organizational culture and hospital", "organizational culture and health care system", "patient safety", and "quality of health care". Original primary articles focusing on organizational culture and healthcare quality, available in full text in English online, were included in the study. The search identified 70 studies, of which 26 were excluded due to factors such as inappropriate study design, lack of relevance to the research objective, or outdated data. Ultimately, 44 studies met the inclusion criteria and were included in the analysis. The selected articles underwent detailed analysis, and significant data were extracted and organized by the author. The collected data were divided into specific sections, such as organizational culture, safety culture, the impact of management on healthcare quality, organizational culture change, and quality in healthcare. To ensure a coherent presentation of the results, a narrative approach to data synthesis was applied, involving the integration of information from the studies to provide a comprehensive review of the findings. Findings: The final conclusion is the need to treat organizational culture as an integral component of quality management in healthcare. The pursuit of improving quality and patient safety cannot be limited to formal procedures and tools but should be rooted in values and attitudes supporting shared responsibility, continuous improvement, and mutual respect. Only in such an environment is it possible to achieve sustainable improvement in both clinical outcomes and the experiences of patients and staff. At the same time, it should be emphasized that there is a research gap in analyzing the impact of organizational culture on healthcare quality and patient safety. This area requires in-depth research that will allow for a better understanding of the cultural mechanisms determining quality in healthcare systems. Originality/value: This paper offers a non-systematic literature review of 44 selected studies that explores the relationship between organizational culture, healthcare quality and patient safety. Value of the paper is synthesis of current knowledge, practical recommendations, multidimensional analysis, cross-cultural comparative approach, integration of staff and patient perspectives. This paper appears to be addressed to key groups: healthcare administration and managers, clinical leaders, healthcare quality specialists, healthcare policy makers, healthcare educators.

4

Mapping the landscape of Smart Energy Systems (SES): insights from bibliometric and statistic analysis for environmental management

Rosak-Szyrocka Joanna, Wolniak Radosław, Gajdzik Bożena

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2025

|

z. 224

437--455

EN

Purpose: The objective of the article is to map the global research landscape on Smart Energy Systems (SES) between 2020 and 2024 by identifying dominant scientific trends, thematic clusters, collaboration networks, and emerging research topics. Design/methodology/approach: The research employs a quantitative design, combining bibliometric analysis and statistical methods. A total of 11,609 publications were retrieved from the Scopus database, focusing on SES-related keywords. Bibliometric mapping using VOSviewer was conducted to analyze keyword co-occurrences, country collaborations, and author networks. Statistical visualization, including bag plots, was used to identify outliers and trends in keyword usage, highlighting both prevalent and emergent areas of research. Findings: The analysis revealed six major clusters of SES research, including smart power grids, renewable energy integration, energy management systems, optimization techniques, and emerging digital technologies like IoT and blockchain. Dominant keywords included "smart power grids" (3572 occurrences), "electric power transmission networks" (2856), and "renewable energy resources" (1629). Outlier analysis indicated that future directions in SES research are closely linked to blockchain, machine learning, and green hydrogen. Research limitations/implications: The study offers actionable insights for policy-makers, business leaders, and industrial stakeholders. Policymakers should prioritize regulatory frameworks promoting digitalization and interoperability of energy systems. Industry actors are encouraged to invest in IoT-enabled energy infrastructure, AI-powered decision-making tools, and peer-to-peer energy platforms. SES development is also strategically relevant for national climate goals, economic modernization, and industrial decarbonization. Originality/value This paper is the first to offer a cross-sectional, global bibliometric and statistical mapping of Smart Energy Systems research in the post-COVID-19 era (2020-2024). It goes beyond traditional bibliometric studies by integrating quantitative visual analytics (bag plots) to reveal latent structures and trends. The article also introduces a typology of emergent research areas and provides practical guidance for aligning SES innovation with environmental and industrial policies.

5

Drone swarms - as an innovative tool to carry out irregular warfare

Olkiewicz Marcin, Wolniak Radosław, Terebecki Mariusz

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2025

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z. 215

387--408

EN

Purpose: The main purpose of the article is to analyze the possibilities of using drone swarms as an innovative battlefield tool. Design/methodology/approach: The research includes simulation methods by using computer simulation methods based on the so-called random walk - Brownian motion and Brownian bridge. Findings: The research shows that the innovative use of drone swarms will further increase the possibility of using them in an asymmetrical conflict. Particularly important is the cheapness of the presented solution, the possibility of using it after only a short training and the option to perform an earlier simulation of the effects of the drone swarms application by people with an average level of IT knowledge. Research limitations/implications: The study focused on analyzing the possibilities of using simulation methods to manage innovative drone swarms exclusively for military purposes and the possibilities of using such solutions. According to the authors, the research should be carried out in other areas of social life. Practical implications: In the era of Industry 4.0, which is based on digitization and robotization, it will be possible to increasingly use solutions that make use of artificial intelligence (AI) on the battlefield, such as the application of innovative drone swarms. Originality/value: The presented solution is based on innovations in various areas, it can be stated that this type of drone application is an open innovation and can be developed by both military and civilian companies.

6

Analysis of changes in social attitudes of young people based on the example of participation in religion classes

Wolniak Radosław, Skotnicka-Zasadzień Bożena

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2025

|

z. 222

647--660

EN

Purpose: In Poland, changes are taking place in the perception of the church by young people, and this is visible in the reluctance of young people to attend religious education classes. This article attempts to analyze and evaluate the attendance of young people in religious education classes. In the present times, young people leaving the church is one of the factors of the ongoing social changes. Design/methodology/approach: The publication utilized data on the religious attendance index in Poland across dioceses for the years 2018-2023 (six years) for individual dioceses. The publication analyzed data on the religious attendance index for the whole of Poland and for each of the 41 existing dioceses. Indices for different types of schools were also analyzed, including preschools, primary schools, general secondary schools, and technical schools. The raw data was sourced from the mentioned sources. Data on religious education in schools was provided by the Commission for Catholic Education of the Polish Episcopal Conference (KEP). The data was analyzed using Excel spreadsheets. Based on the data, indicators such as changes in the religious attendance indicator between two consecutive years and the changes in religious attendance index in individual dioceses for the years 2018-2023 were calculated. Findings: The analysis showed The analysis showed that there is a systematic decrease in the number of people participating in religious education classes in both primary and secondary schools in Poland. Based on the conducted analysis, it can be observed that among Polish children and youth, religious education classes are progressively becoming less popular. Research limitations/implications: The limitations of qualitative research are the relatively small sample size and lack of representativeness. A natural continuation of the research may be the quantitative verification of identified dysfunctions and their sources. Practical implications: In the article, based on the data, markers such as the change in the attendance rate in religion classes between subsequent years and the changes in attendance in religion classes in various types of schools in Poland in the years 2018-2022, divided into individual dioceses, were calculated. These studies showed how to change in the case of religion among children and youth on various educational topics. Social implications: Understanding the factors that influence changes in the attitude of young people in Poland towards the church, indicating the causes of this phenomenon and proposing actions for improvement. Originality/value: The article contributes to expanding knowledge about social changes caused by the decreasing interest of young people in the church and willingness to participate in religious education classes both in the whole country and in individual dioceses.

7

The usage of Taguchi methods in Industry 4.0 conditions

Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

|

z. 198

637--654

EN

Purpose: The purpose of this publication is to present the usage of Taguchi methods approach in Industry 4.0 conditions. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of Taguchi methods with Industry 4.0 signifies a profound advancement in manufacturing and quality management. Industry 4.0, with its advanced digital technologies such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and cyber-physical systems, creates an environment that significantly enhances Taguchi’s principles. This integration facilitates a more dynamic approach to process optimization, leveraging real-time data and sophisticated analytics to achieve superior quality and efficiency. Real-time data collection and advanced analytics enable precise application of Taguchi’s experimental designs, enhancing responsiveness to process variations and improving product quality. Digital twins and automated process control systems further support robust design by allowing virtual testing and continuous adjustments. However, challenges such as data integration complexity, high implementation costs, and the integration of legacy systems must be addressed through strategic planning and investment. Overcoming these challenges can lead to substantial benefits, including improved data utilization, enhanced process optimization, and greater flexibility, driving significant advancements in manufacturing capabilities and operational excellence. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of Taguchi methods in Industry 4.0 conditions.

8

The usage of smart sprinkler system in smart home

Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

|

z. 191

643--658

EN

Purpose: The purpose of this publication is to present the usage of smart sprinkler system in smart homes. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of a Smart Sprinkler System within the context of a Smart Home represents a groundbreaking convergence of technology and water management, reshaping conventional approaches to lawn care and irrigation. This innovative system epitomizes a seamless fusion of convenience, efficiency, and sustainability in the modern landscape of home automation. Operating on real-time data and intelligent algorithms, the Smart Sprinkler System ensures precise water usage by dynamically adapting to environmental changes, avoiding over-watering or under-watering, and aligning with conservation efforts. The publication emphasizes the system's connectivity, leveraging the Internet of Things (IoT) for remote control and integration into smart home ecosystems. Notable features include energy efficiency, aesthetics enhancement, and integration with other devices. While the advantages are evident, the accompanying tables comprehensively detail key features, advantages, and potential challenges, providing a nuanced perspective for homeowners and highlighting the ongoing evolution of these systems in advancing sustainable, efficient, and connected living experiences. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of smart sprinkler system in smart home.

9

The usage of smart locks in smart home

Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

|

z. 191

629--642

EN

Purpose: The purpose of this publication is to present the usage of smart doorbells in smart locks. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of smart locks into the fabric of smart homes represents a groundbreaking advancement, reshaping the dynamics of security and convenience. These intelligent locks have surpassed traditional mechanisms, ushering in an era where digital authentication and advanced features redefine how individuals secure and engage with their living spaces. Smart locks empower homeowners with unparalleled control and accessibility, eliminating the need for physical keys and introducing heightened security through encryption and biometric identification. Emphasizing their pivotal role in smart homes, the publication highlights the ability of smart locks to remotely monitor and control access, providing unprecedented flexibility, especially in scenarios involving trusted individuals. The seamless integration of smart locks within the broader smart home ecosystem fosters an interconnected environment, enabling holistic automation and enhancing user experience and energy efficiency. While acknowledging challenges such as vulnerabilities and power dependency, the publication underscores the vast advantages of smart locks, ranging from enhanced security to increased home resale value. Tables 1, 2, and 3 provide a comprehensive overview of key features, advantages, and challenges, serving as a valuable guide for navigating the evolving landscape of smart home security. As technology advances, smart locks continue to shape the future of residential living, fortifying the boundaries between physical and digital security. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of smart locks in smart home.

10

The usage of Poka-Yoka in industry 4.0 conditions

Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

|

z. 191

613--628

EN

Purpose: The purpose of this publication is to present the usage of Poka-Yoka approach in Industry 4.0 conditions. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of Poka-Yoke with Industry 4.0 signifies a transformative leap in error prevention methodologies, aligning seamlessly with the objectives of advanced manufacturing. By merging the principles of Poka-Yoke with smart technologies like sensors, IoT devices, and real-time data analytics, a dynamic and sophisticated approach to error prevention emerges in the era of Industry 4.0. With applications ranging from simple visual cues to complex technological solutions, Poka-Yoke finds resonance across various industries, particularly in the automotive sector, where sensors and devices on assembly lines swiftly detect and rectify deviations, elevating both product quality and operational efficiency. The incorporation of artificial intelligence and machine learning in Industry 4.0 augments Poka-Yoke, enabling systems not only to identify errors but also to learn from them, fostering continuous improvement and adaptability in response to evolving production scenarios. Emphasizing proactive error prevention at the source, continuous improvement, and a commitment to training and education, the key principles outlined in Table 1 contribute to creating resilient, reliable processes delivering consistently high-quality outputs. Table 2 demonstrates the seamless integration of Poka-Yoke with Industry 4.0, showcasing technological advancements that collectively form an adaptive approach to error prevention and quality management. Additionally, Table 3 highlights the advantages of this integration, emphasizing improved quality control, operational efficiency, and adaptability in modern manufacturing environments. However, challenges outlined in Table 4, including complex implementation, data security concerns, high initial costs, interoperability issues, and skill gaps, necessitate strategic planning and investment in overcoming obstacles. In conclusion, the integration of Poka-Yoke with Industry 4.0 signifies a strategic evolution, where technology-driven error prevention, continuous improvement, and a commitment to quality converge to create resilient, adaptive, and highly efficient manufacturing systems, positioning this integration as a cornerstone for excellence in the evolving landscape of industrial production. Originality/value: Detailed analysis of all subjects related to the problems connected with the usage of Poka-Yoka in Industry 4.0 conditions.

11

Smart manufacturing – the utilization of business analytics in Industry 4.0 environments

Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

|

z. 195

647--663

EN

Purpose: The purpose of this publication is to present the applications of usage of business analytics in smart manufacturing. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of business analytics in smart manufacturing within the framework of Industry 4.0 marks a significant stride in industrial processes, offering manifold advantages alongside notable challenges. Throughout this study, we delve into the expansive realm of business analytics applications, encompassing predictive maintenance, quality control, supply chain optimization, and real-time decision-making. Leveraging business analytics yields palpable benefits in smart manufacturing, exemplified by proactive equipment maintenance, stringent quality standards adherence, and streamlined supply chain operations. Additionally, analytics-driven enhancements in production optimization, energy management, demand forecasting, and asset performance management contribute to heightened productivity, cost reduction, and sustainability improvement. Challenges including data integration complexities, implementation intricacies, security concerns, scalability limitations, model interpretability issues, and skill gaps necessitate concerted efforts for effective resolution. Collaboration among stakeholders- manufacturers, software developers, policymakers, and educational institutions—is imperative. Joint initiatives aimed at bolstering data integration capabilities, providing specialized training, fortifying cybersecurity measures, and fostering a culture of continuous improvement are crucial for successful business analytics deployment. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of business analytics in the case of smart manufacturing.

12

Employing business analytics in industry 4.0 settings for human resource analytics

Wolniak Radosław, Dolata Małgorzata, Hadryjańska Barbara, Wysokińska-Senkus Aneta

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2024

|

z. 197

629--640

EN

Purpose: The purpose of this publication is to present the applications of usage of business analytics in human resource analytics. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: This paper explores the transformative potential of business analytics within human resource (HR) analytics, particularly in the context of Industry 4.0. It highlights how the integration of advanced analytics tools and methodologies enables organizations to gain deep insights into workforce behaviors, trends, and patterns, ultimately facilitating more informed decision-making and strategic workforce management. Through applications such as talent acquisition and retention, performance management, workforce planning, and employee well-being, business analytics empowers HR professionals to optimize HR processes, enhance employee satisfaction, and drive organizational success. However, challenges such as data quality issues, privacy concerns, and skills gaps among HR professionals underscore the need for a strategic approach and investment in technology and talent to fully realize the benefits of business analytics in HR analytics. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of business analytics in the case of human resource analytics.

13

Cybersecurity analytics: leveraging business analytics in Industry 4.0 settings

Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

|

z. 198

619--636

EN

Purpose: The purpose of this publication is to present the applications of usage of business analytics in cybersecurity analytics. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of business analytics into cybersecurity practices within Industry 4.0 signifies a pivotal advancement in safeguarding organizational assets against the evolving cyber threat landscape. As industrial systems grow more complex and interconnected, traditional security methods focused on perimeter defenses are increasingly inadequate. Modern cybersecurity strategies must therefore incorporate advanced analytics to manage and mitigate risks effectively. Business analytics enhances cybersecurity through sophisticated machine learning algorithms, predictive capabilities for anticipating future threats, and improved incident response via real-time monitoring and automated alerts. These innovations foster a proactive and efficient security approach, enabling swift detection, response, and informed decision-making based on thorough risk assessments. Despite these advantages, challenges such as data overload, false positives, integration hurdles, and the need for specialized expertise persist. Additionally, concerns about data privacy, costs, and analytical complexity must be managed. Embracing business analytics while addressing these challenges will enable organizations to fortify their security posture, optimize resource use, and adapt to the demands of Industry 4.0, thereby shaping the future of cybersecurity in a rapidly evolving digital landscape. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of business analytics in the case of cybersecurity analytics.

14

Continous improvement: leveraging business analytics in Industry 4.0 settings

Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2024

|

z. 203

599--616

EN

Purpose: The purpose of this publication is to present the applications of usage of business analytics in continuous improvement. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: This paper explores the pivotal role of business analytics in driving continuous improvement within Industry 4.0 environments. It examines how the integration of advanced analytics tools, such as predictive modeling and real-time data visualization, transforms operational efficiency, quality management, and strategic decision-making. By leveraging vast datasets generated by interconnected systems, organizations can identify inefficiencies, anticipate potential issues, and enhance customer experiences. The paper highlights both the advantages, including improved decision-making, increased efficiency, and data-driven innovation, as well as the challenges, such as data quality concerns and integration difficulties. Ultimately, it underscores the significance of business analytics in fostering a culture of ongoing refinement and adaptability, crucial for sustaining competitive advantage and achieving long¬term success in the evolving industrial landscape. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of business analytics in the case of continuous improvement.

15

Concept of the competence center at the Silesian University of Technology – innovative partnership of science and industry in the field of safety and crisis management

Dyczko Artur, Urbanek Aldona, Toś Piotr, Wolniak Radosław, Stecuła Kinga

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

|

z. 197

99--112

EN

Purpose: The aim of the article is to present the key assumptions and the importance of creating the Competence Center at the Silesian University of Technology, which is to be an innovative partnership between science and industry in the area of security and crisis management. The article aims to draw attention to the need to change the approach to safety in industry and to open new opportunities for employers, academic staff and students by integrating the latest scientific achievements with industrial practice. Design/methodology/approach: The first method is the literature analysis: analysis of international literature from main databases and Polish literature and legal acts connecting with the researched topic. Moreover, the article presents a specific concept of the competence center that is being established at the Silesian University of Technology. Findings: The findings indicate that creating a Competence Center at the Silesian University of Technology can significantly enhance safety and crisis management in industry by integrating scientific advancements with industrial practices. The proposed structure and methods for the Center emphasize modern training programs, crisis simulations, and the use of advanced technologies like AI and data analysis to improve risk management. Originality/Value: The article presents the original concept of the new groundbreaking Competence Center for security and crisis management at the Silesian University of Technology.

16

Analyzing customer behavior – employing business analytics within Industry 4.0 ecosystems

Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2024

|

z. 195

631--646

EN

Purpose: The purpose of this publication is to present the applications of usage of business analytics in customer behaviour analysis. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of business analytics with customer behavior analysis in Industry 4.0 environments offers businesses a transformative opportunity to gain profound insights into customer preferences, trends, and behaviors. Through the utilization of state-of-the-art technologies and data-driven methodologies, organizations can attain unprecedented levels of precision and detail in understanding customer behavior. Real-time data collection and analysis facilitate agile responses to evolving market dynamics, enabling personalized customer experiences across various channels. Additionally, advanced analytics tools such as predictive modeling and sentiment analysis empower businesses to forecast future trends, address churn, and enhance customer satisfaction. However, businesses may encounter challenges like data quality issues, privacy concerns, and resource limitations. Overcoming these obstacles necessitates a comprehensive approach, involving investments in data governance, talent acquisition, and technology infrastructure. By surmounting these challenges, businesses can harness the full potential of business analytics to drive strategic decisions, refine marketing strategies, and elevate overall business performance within Industry 4.0 environments. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of business analytics in the case of smart manufacturing.

17

Changes in the steel chain in Industry 4.0. Some results of survey on the Polish steel market

Gajdzik Bożena, Wolniak Radosław, Grebski Wiesław

Production Engineering Archives

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2024

|

Vol. 30, Iss. 1

1--16

EN

The paper discusses the changes occurring in the steel industry and related markets as they move towards Industry 4.0. With significant investments in new technologies, steel mills are creating a smart environment for cooperation between producers, distributors, and consumers of steel products. The influence of Industry 4.0 within mills is being transferred to other participants in the steel product chains, and vice versa. The research aimed to determine the impact of Industry 4.0 technologies on the steel product chains in the Polish steel market. The research was conducted in Poland. The obtained database comprised 208 respondents (company executives), including steel mills and steel product manufacturers. Technologies (the pillars of Industry 4.0) are grouped into five technological fields: automation and robotics; warehouse automation; Computer systems, systems integration, mobile technologies, Big Data and IIoT, Blockchain and cybersecurity. Analysis was realized in the three respondent segments representing the steel chain in Poland [RSs]: Producer [P], Distributor [D], and Consumer [C]. The results of the research can help companies improve their steel product chains. The study takes a value chain approach, considering steel production, distribution of steel products, and services for orders and consumers of steel and steel products.

18

The concept of diagnostic analytics

Wolniak Radosław, Grebski Wes

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2023

|

z. 175

651--670

EN

Purpose: The goal of the paper is to analyze the main features, benefits and problems with the diagnostic analytics usage. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The paper discusses the concept of diagnostic analytics, which is a powerful tool for organizations to understand the underlying factors and reasons behind specific outcomes or events. By analyzing historical data and applying statistical techniques, organizations can identify root causes, patterns, and correlations that explain past events. This understanding enables informed decision-making, performance improvement, risk mitigation, enhanced customer insights, process optimization, resource allocation, and continuous improvement. Nevertheless, there are several challenges associated with diagnostic analytics. Firstly, the analysis process can be time-consuming due to the need for thorough examination and interpretation of data. Additionally, real-time insights may be limited as diagnostic analytics primarily focuses on historical data. Issues related to data quality and availability may also arise, impacting the accuracy and reliability of the analysis. Furthermore, diagnostic analytics lacks predictive capabilities, making it more challenging to anticipate future outcomes. The complexity of analysis, data privacy and security concerns, risks of bias and misinterpretation, and difficulties in identifying causal relationships further add to the challenges organizations face. Originality/value: Detailed analysis of all subjects related to the problems connected with the diagnostic analytics.

19

The concept of descriptive analytics

Wolniak Radosław

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2023

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z. 172

699--715

EN

Purpose: The goal of the paper is to analyze the main features, benefits and problems with the descriptive analytics usage. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The paper discusses the concept of descriptive analytics, which involves collecting, cleaning, and summarizing historical data from various sources to provide a clear and concise summary that can aid in decision-making. The paper explains the importance of descriptive analytics as the foundation for other types of data analytics, and highlights the steps involved in its implementation, including data collection, cleaning and preparation, exploration and visualization, analysis, interpretation, and reporting. The paper also mentions the advantages of descriptive analytics, such as identifying trends and patterns, optimizing processes, improving decision-making, and simplifying communication, while cautioning businesses about the potential pitfalls and challenges of this approach, such as limited predictive power, incomplete data, data privacy concerns, biased results, and overreliance on historical data. The paper emphasizes the importance of understanding these issues to ensure that the insights generated are relevant, accurate, and useful. Originality/value: Detailed analysis of all subjects related to the problems connected with the descriptive analytics.

20

The basis of prospective analytics in business

Wolniak Radosław, Grebski Wies

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2023

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z. 176

771--789

EN

Purpose: The goal of the paper is to analyze the main features, benefits and problems with the prospective analytics usage. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: Prescriptive analytics aims to assist businesses in making informed decisions that optimize desired outcomes or minimize undesired ones. It goes beyond predicting future outcomes and provides recommendations on the best actions to achieve desired goals while considering potential risks and uncertainties. Prescriptive analytics finds applications in various domains such as supply chain management, financial planning, healthcare, marketing, and operations management. It empowers businesses to make data-driven decisions, optimize resource allocation, enhance efficiency, and gain a competitive advantage. Considered the highest level of analytics, prescriptive analytics combines historical data, real-time information, optimization techniques, and decision models to generate actionable recommendations. Originality/value: Detailed analysis of all subjects related to the problems connected with the prospective analytics.