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While recent technological advancements have enabled improved performance in warehouse operations, companies still struggle with eliminating errors such as incorrect/damaged items or the wrong quantity sent to customers. Such errors result in inefficient resource use, costly returns handling, and customer dissatisfaction. Despite the importance of errors, current knowledge of the underlying causes is limited. This paper addresses the gap by investigating error causes through a relatively new technology - intelligent video analysis (IVA), an additional tool for analysing warehouse operations. A multiple case study involving companies that have implemented IVA in their outbound warehouse operations (i.e. order picking, packing, and sorting) was conducted. This study is the first to investigate implementations of IVA, offering novel empirical insights into error root causes. It shows how many errors reported by customers are actually not made by humans in outbound warehouse operations but are attributable to faulty customer claims, inbound warehouse operation errors, and malfunctioning technology. This study offers interesting insights into the interaction of various technical, organisational, and human factors, thereby contributing to the literature on sociotechnical systems and the human-centric Industry 5.0. Finally, the study outlines a way forward for managers to address and further reduce errors occurring in warehouse operations. [ABSTRACT FROM AUTHOR]

In manual assembly systems, workers' differences in terms of skills, level of expertise and perceived physical effort largely affect the assembly line balancing and system performance. Traditional long-term strategic decisions may not respond to workforce changes and needs, resulting in frequent requests for line rebalancing. In this study, we propose a methodological framework and an easy-to-use Assembly Line Worker Assignment and Rebalancing Problem with different options: workers' assignment considering their performance variability, integration of worker dependent physical exertion constraints and possibility to use trainers to assist inexperienced workers. A bi-objective linear programming model is proposed aiming to minimise the cycle time and the number of reassigned tasks to respect the initial design while integrating new workers with different characteristics. The ϵ -constraint approach is used to build Pareto frontiers for this bi-objective problem. This approach is applied to three real cases. The obtained results show that the developed model can be successfully used in manufacturing companies to help the production managers to deal with workforce turnover and skills heterogeneity. [ABSTRACT FROM AUTHOR]

Academic research on the human element in phishing attacks is essential for developing effective prevention and detection strategies and guiding policymakers to protect individuals and organizations from cyber threats. This bibliometric study offers a comprehensive overview of international research on phishing and human factors from 2006 to 2024. Analysing 308 articles from the Web of Science database, a significant increase in publications since 2015 was identified, highlighting the growing importance of this field. The study revealed influential authors such as Vishwanath and Rao, leading journals like Computers & Security, and key contributing institutions including Carnegie Mellon University. The analysis uncovered strong collaborations between institutions and countries, with the USA being the most prolific and collaborative. Emerging research themes focus on psychological factors influencing phishing susceptibility, user-centric security measures, and the integration of technological solutions with human behaviour insights. The findings highlight the need for increased collaboration between academia and non-academic organizations and the exploration of industry-specific challenges. These insights offer valuable guidance for researchers, practitioners, and policymakers to advance their understanding of phishing attacks, human factors, and resource allocation in this critical aspect of digitalisation, which continues to have significant impacts across business and society at large. [ABSTRACT FROM AUTHOR]

Artificial intelligence aims to be the solution to multiple engineering problems by trying to emulate the human learning process. In this sense, maritime transport standards have clearly evolved, which are based on two principal pillars: the International Convention for the Safety of Life at Sea Convention (SOLAS) and the International Convention for the Prevention of Pollution from Ships (MARPOL). Based on a formal safety assessment research process, these pillars try to solve most of the maritime transport accidents, which, in their final steps, are associated with human factors. In this research, an original methodology employing a deep learning process for image recognition during mooring line operation, a dangerous process on ships, is developed. The main results indicate that the proposed method is an excellent tool for advising ship officers on watch and, consequently, provides a new way to prevent human factors onboard from causing accidents, which in the future must be considered in international standards. [ABSTRACT FROM AUTHOR]

Large-scale infrastructures, such as chemical plants and nuclear power plants (NPPs), are pivotal for modern civilization as they provide vital resources and energy. However, their operation introduces significant risks, as demonstrated by the tragic accidents at Bhopal and Fukushima. While extensive research has been conducted to improve the safety of these safety–critical systems, the human factor remains as a significant concern. In recent years, as artificial intelligence (AI) is being widely adopted in various fields, AI may be a solution for supporting operators and, ultimately, for reducing the overall risk of safety–critical systems such nuclear and chemical plants. This review discusses the application of AI in NPP operations, with a focus on event diagnosis, signal validation, prediction, and autonomous control. Various application examples are presented, highlighting the limitations of classical approaches and the potential for AI overcome such limitations to enhance the safety and efficiency of NPP operations. This work is expected to stimulate further investigation into the application of AI to support operators in not only NPPs but also other safety–critical systems, such as chemical plants. [ABSTRACT FROM AUTHOR]

This study focuses on examining and ascertaining the impact of various elements of industry 4.0, namely the internet of things (IoT) and -physical-cyber systems, on the human factors concerning operators in the Refinery industry. The primary objective of this study is to analyze the relationship between these variables and human factors. In this study, a quantitative approach employing partial least square-structural equation modeling (PLS-SEM) was utilized as the research methodology. The study sample consisted of 70 respondents who were specifically chosen from the Indonesian oil and gas sector operators. The findings of this research demonstrate a positive and significant influence of Industry 4.0 on human factors. Moreover, a significant correlation between the Internet of Things and human factors was identified. Additionally, the study also revealed a noteworthy association between the physical-cyber system and human factors. [ABSTRACT FROM AUTHOR]

Road crashes continue to be a leading cause of death globally, with most of these crashes reportedly occurring due to human factors. Traditional road safety assessment utilises geometric and traffic parameters that consider road design inadequacies and identify traffic conflicts. However, previous studies do not represent risky driving behavior and its influence on crash occurrence. Incorporating human factors into safety evaluation is crucial to enhance the prediction and subsequent prevention of unsafe events. This research establishes a methodology to identify risky driving behavior using driving performance measures. These measures are computed based on continuous driving profiles collected using instrumented vehicles from a sample set of drivers on an expressway and are compared with historical crash data. The results indicate the significance of driving performance measures in evaluating road safety. The performance measures find application in collision avoidance systems, assessing the road design quality, testing safety countermeasures and guide for policymakers.. [ABSTRACT FROM AUTHOR]

The article discusses the principles of constructing an intelligent recommendation system for monitoring critical infrastructure operators that is focused on assessing their psychoemotional state in real time and periodically assessing risk factors for chronic diseases. Information flows of different types of information and modules for preprocessing and analysis of heterogeneous data are described. The paper presents the architecture of the system, which provides information about deviations in the condition of operators for decision makers at the facility and for medical workers. [ABSTRACT FROM AUTHOR]

Managing cybersecurity and protecting data assets remain top priorities for businesses. Despite this, numerous data breaches persist due to malicious human actions, resulting in significant financial setbacks. However, many cybersecurity strategies overlook invisible or indirect threats within their scope, such as digital footprints. This paper examines the relationship between personality traits and user behavior concerning cybersecurity. The study suggests that human personality can be predicted using innovative techniques based on the digital hints individuals leave on the internet. Consequently, this information can be exploited for malicious actions against entities. As proposed, an effective strategy for improving behaviors and cultivating a security-oriented culture involves continually identifying relevant sources of cyber risks and implementing continuous awareness initiatives. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM), using the O*NET database and the classification of a set of professional figures integrating values for task skills and abilities needed to operate successfully in these professions. Design/methodology/approach: The study used the O*NET database to identify the soft skills and abilities required for success in OM and SCM industries. Correlation analysis was conducted to determine the tasks required for the job roles and their characteristics in terms of abilities and soft skills. ANOVA analysis was used to validate the findings. The study aims to help companies define specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the job position. Findings: As a result of the work, a set of soft skills and abilities was defined that allow, through correlation analysis, to explain a large number of activities required to work in the operations and SCM (OSCM) environment. Research limitations/implications: The work is inherently affected by the database used for the professional figures mapped and the scores that are attributed within O*NET to the analyzed elements. Practical implications: The information resulting from this study can help companies develop specific assessments and tests for the roles of OM and SCM to measure individual attitudes and correlate them with the requirements of the job position. The study aims to address the need to identify soft skills in the human sphere and determine which of them have the most significant impact on the OM and SCM professions. Originality/value: The originality of this study lies in its approach to identify the set of soft skills and abilities that determine success in the OM and SCM industries. The study used the O*NET database to correlate the tasks required for specific job roles with their corresponding soft skills and abilities. Furthermore, the study used ANOVA analysis to validate the findings in other sectors mapped by the same database. The identified soft skills and abilities can help companies develop specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the requirements of the job position. In addressing the necessity for enhanced clarity in the domain of human factor, this study contributes to identifying key success factors. Subsequent research can further investigate their practical application within companies to formulate targeted growth strategies and make appropriate resource selections for vacant positions. [ABSTRACT FROM AUTHOR]

Artificial intelligence seems to be a new point of view to classical problems that, in the past, could not be understood in depth, leaving certain gaps in each knowledge area. As an example of this, maritime accidents are one of the most recognised international problems, with clear environmental and human life consequences. From the beginning, statistical studies have shown that not only the typical sampled variables must be considered but the accidents are related to human factors that, at the same time, are related to some variables like fatigue that cannot be easily sampled. In this research work, the use of machine learning algorithms on over 300 maritime accidents is proposed to identify the relationship between human factors and the main variables. The results showed that compliance with the minimum crew members and ship length are the two most relevant variables related to each accident for the Spanish Search and Rescue (SAR) region, as well as the characteristics of the ships. These accidents could be understood as three main groups of accidents related to the general tendency to not meet the minimum number of crew members and its difference in the year of construction of the ship. Finally, it was possible to use neural networks to model accidents with sufficient accuracy (determination factor higher than 0.60), which is particularly interesting in the context of a control system for maritime transport. [ABSTRACT FROM AUTHOR]

This paper aims to examine the key factors influencing young drivers' hazard avoidance in Iran. In this study, a hazard avoidance index is defined and calculated for investigating the effect of impulsiveness, behavioral, and psychological characteristics on driving hazard avoidance. A questionnaire and go-no-go and flanker computer tests as well as a driving simulator are used for collecting data from 173 Iranian drivers under the age of 30. For this purpose, different scenarios were used, such as pedestrian crossing, the presence of fixed obstacles, and animals crossing the road, whose various characteristics are also changed. Structural equation modeling and the partial least squares method are applied for investigating the relationship between different variables and the hazard avoidance index. The results show that the driver hazard avoidance index is mostly affected by variables such as inhibitory control, opposite directional response, attentional impulsiveness, motion impulsiveness, non-planning impulsiveness, disregarding the law, and lapses and error. The results could help policymakers to assess diving hazard avoidance and improve training programs related to traffic safety based on the variables that are more effective on inexperienced and novice drivers' hazard avoidance [ABSTRACT FROM AUTHOR]

Objective. The purpose of the theoretical research of the article is to formulate and describe cases in which it is possible to conduct correlation and other types of analysis for some situations to quantify the impact of the human factor on safety of technical systems using plausible patterns and statistical distributions, to consider some problems and reliability issues that arise in the course of solving such problems.Method. Some cases of possible application of the chi-square distribution to assess the impact of the human factor on safety of systems with the participation of people in technological operations are presented.Result. Approach on using of agreement criterium of chi-square, explanations and recommendations on the implementation of expert research in this area are offered for analysis and assessment.Conclusion. The article considers the conditions and describes the possibilities for carrying out some types of analysis in assessing the impact of the human factor on the functioning of technical systems.

According to traffic accident statistics, the main causes are violations of traffic rules. Based on scientific research, it is clear that the main reason for these events is the drivers' incorrect assessment of the road situation and their inadequate response. Assessing road conditions depends on drivers' qualifications, skills, work experience, reaction time, and other physiological factors. The functional state of drivers is important to consider. It reflects their ability to work reliably and affects both fatigue levels and how fatigue builds up. Factors that impact decision-making speed and quality are crucial when evaluating the risks of the transportation process, particularly those associated with human behavior. This study investigates the safety of freight transportation for drivers, road users, third parties, and the environment. The study focuses on road traffic characteristics in mountainous conditions at high altitudes. The study aims to analyze how drivers' performance is affected while navigating challenging sections of mountain roads in the Ukrainian Carpathians. Four different routes will be examined. The research will provide graphic analysis of the results. It will show the main patterns of changes in drivers' functional state based on the route's complexity. The research aims to analyze indicators of drivers' functional state and their impact on their performance reliability. It allows for a more detailed evaluation of transport routes and planning of truck drivers' work and rest schedules on suburban routes.

Transport accident statistics and practical safety results indicate that technological solutions cannot ensure the viability (safety, sustainability, reliability and efficiency) of complex systems and structures without addressing human factors. This problem is especially acute for transport systems as highly complex technological and social structures aimed at ensuring the efficiency and safety of an entire sphere of human life. In transportation systems and technologies, the human factor plays a critical role. The successful operation of transport systems requires consideration of the human factor at all levels – starting from the development, design and planning of systems and technologies, training and education to the involvement of society in decision-making processes. Therefore, it is essential to develop the concept of human factor management and analyze the main problems in transport systems associated with the human factor to improve the safety, reliability and efficiency of their functioning. The article is devoted to the analysis of the human factor problem in transport systems and the search for solutions to manage it. The purpose of the article is to analyze the main problems in transport systems associated with the human factor and to develop the concept of human factor management for further search for solutions to improve the safety and reliability of transport systems. A set of instruments was proposed in the study to achieve the goal and solve the set tasks. Problems connected to the human factor in transport systems were analyzed. The main directions for solving problems with the influence of the human factor on the safety of transport systems were systematized. The main principles, models and ways of developing the concept of managing the human factor problem in complex systems, including transport, were outlined. A systematization of the risk management strategy was proposed. A matrix for the relationship between risk management strategies and approaches to managing the safety of complex systems was proposed. A new look at the principle of adaptive ergonomics as an implementation of the tolerance strategy was proposed, and applying the principle of adaptive ergonomics to transport systems was considered. The main motivation of the work is to attract the attention of the scientific and educational community to the problem of human factor and the need to use the concept of human factor management in the educational process to improve the general safety culture in society.

In the realms of operations management (OM) and supply chain management (SCM), the significance of the human factor (HF) is increasingly recognised as a pivotal determinant of corporate performance. This burgeoning interest aligns with the recognition that individual characteristics—spanning personality traits, attitudes, and soft skills—play a critical role in enhancing organisational outcomes. Despite growing scrutiny, the discourse is hampered by terminological ambiguity and the conflation of critical human-centric concepts within the OSCM context. Addressing this gap, our study embarks on a mission to dissect and delineate the nuanced distinctions among “soft skills”, “attitudes”, and “personality traits”. By proposing a clear and actionable taxonomy, this paper aims to facilitate the practical application and understanding of these terms within organisational settings. Leveraging the “Knowledge Development Process-Constructivist” (ProKnow-C), we conducted a systematic examination of the existing scientific literature to unearth and critically review pertinent bibliometric and content analyses. Our work not only illuminates the path for future research but also underscores the necessity of clarity and precision in the conceptualisation and application of human-factor considerations in OM and SCM.

Purpose: The research aimed to verify the usefulness of selected subjective methods of task load assessment for evaluating task load in general aviation organizations and forecasting preflight load. The study also highlighted the importance of the pilot's task load in the context of flight safety. Design/methodology/approach: The study included a comprehensive literature review to present the specifics of general aviation organization and the role of the human factor in aviation accidents. The research discussed the division of task load methods and characterized four selected subjective task load methods (NASA-TLX, SWAT, ISA, Bedford Scale). Expert assessments were conducted to evaluate these methods' effectiveness from the perspective of post-flight load assessment and pre-flight load prediction, considering the feasibility of implementation in general aviation organizations. Findings: The findings emphasized the need to develop a dedicated method for predicting task load before a flight. The study concluded that the methods used should be simple and require minimal financial outlay, considering the specificity of general aviation organizations. Research limitations/implications: Future research should focus on developing a dedicated pre-flight task load prediction method tailored to the unique requirements of general aviation. Identified limitations include the need for further validation of the subjective methods in different organizational contexts. Practical implications: The research suggests that implementing simple and cost-effective task load assessment methods can enhance flight safety in general aviation. The development of a specialized pre-flight load prediction tool could significantly improve operational planning and pilot performance. Social implications: By improving task load assessment and prediction in general aviation, the research can contribute to enhanced flight safety, thereby potentially reducing accident rates and improving public trust in aviation safety measures. Originality/value: This paper contributes to the field by addressing the gap in pre-flight task load prediction in general aviation. It provides valuable insights for aviation safety researchers, practitioners, and policymakers interested in optimizing pilot performance and ensuring flight safety. [ABSTRACT FROM AUTHOR]

Maritime autonomous surface ships (MASS) are transforming the future of maritime transport. They are expected to shoulder important roles in seaborne trade and maritime resilience. As the primary operator of traditional ships and a significant component of maritime transport, seafarers are inevitably directly and indirectly affected by levels of automation introduced into the shipping space. Therefore, in addition to increasing attention to automated system designs, a holistic understanding of human elements in MASS operations is necessary. The current research (1) reviews human-centred MASS research, (2) categorises MASS impacts on seafarers, and (3) summarises responses to prepare seafarers for this emerging technology. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, a total of 101 articles were collected from Scopus. The systematic review reveals that MASS impacts seafarers from the following dimensions: employment, task contents, requisite skills, and human risks. Moreover, regulations and education frameworks can be adapted to respond to changes in seafarer demand and supply. Future research directions are also proposed and can serve as recommendations for future human-centred research on MASS. The research findings enhance the understanding of seafarer elements in MASS operations and provide policy implications for future seafarer management. [ABSTRACT FROM AUTHOR]

In maritime transportation, many onboard ships operations have been digitalized. The usage and implementation of information systems has offered new opportunities while also introducing new types of risk. Cyber security is one of the most significant challenges that maritime information systems have faced. These most recent changes and technological developments necessitate the identification of new competencies and skillsets in order for seafarers to take steps to protect themselves and the assets they are responsible for against the consequences of cyber-attacks. The present study is aimed at determining the future skill requirements for maritime cyber security to fulfill the inconsistencies between current and actual marine transportation demands. In the paper, the skill requirements for cyber security are comprehensively analyzed in terms of information and operational technology implementations and their regulatory requirements. The AHP technique is then used to establish the priorities of three categories as well as the skills within each category. Considering the strong relations between seafarer training and maritime safety, determining future skill requirements will improve overall maritime safety and security. Therefore, the present study contributes to a great extent, not just to maritime safety literature but also to the maritime industry. [ABSTRACT FROM AUTHOR]

In the realms of operations management (OM) and supply chain management (SCM), the significance of the human factor (HF) is increasingly recognised as a pivotal determinant of corporate performance. This burgeoning interest aligns with the recognition that individual characteristics—spanning personality traits, attitudes, and soft skills—play a critical role in enhancing organisational outcomes. Despite growing scrutiny, the discourse is hampered by terminological ambiguity and the conflation of critical human-centric concepts within the OSCM context. Addressing this gap, our study embarks on a mission to dissect and delineate the nuanced distinctions among "soft skills", "attitudes", and "personality traits". By proposing a clear and actionable taxonomy, this paper aims to facilitate the practical application and understanding of these terms within organisational settings. Leveraging the "Knowledge Development Process-Constructivist" (ProKnow-C), we conducted a systematic examination of the existing scientific literature to unearth and critically review pertinent bibliometric and content analyses. Our work not only illuminates the path for future research but also underscores the necessity of clarity and precision in the conceptualisation and application of human-factor considerations in OM and SCM. [ABSTRACT FROM AUTHOR]

• The role of situational factors known to elicit anger in autonomous driving takeover was examined. • Motive consistency, control potential, and agency impact autonomous driving takeover. • Data clustering revealed four distinct driver profiles. • Anderson's scenario-based method is useful in studying autonomous driving takeover. • Roseman's theory of emotions applied to autonomous driving takeover. Motor vehicle accidents, in part due to human error, continue to cause significant fatalities, a situation that automated vehicles can address when users relinquish driving. However, when the human behind the wheel decides to take over the driving activity, human error is back in the loop. In the context of improving the safety of motorized transportation, this study examines the role of anger in the willingness to take over the driving activity of an automated vehicle classified as levels 4 to 5 according to the Society of Automotive Engineers (SAE). Our study indirectly induces anger by strategically manipulating factors such as motive consistency, agency caused by others, and control potential - factors that are well documented for their role in eliciting anger. Using a scenario-based approach where participants were instructed to catch an emergency train, we manipulated combinations of four factors selected for their association with anger (e.g., late departure × delayed train × reduced speed due to fog × road blocked by another vehicle). Participants (N = 313) were asked to rate their willingness to take over the driving activity as if they were the protagonist. The results showed that the willingness to take over the driving activity aboard a highly automated vehicle could be influenced by emotions, especially anger, elicited by the evaluation of the driving environment. Participants were more willing to take over driving when they judged the driving environment to be inconsistent with the goal of their trip. However, interaction analyses revealed that increasing motive consistency could moderate the negative influences of control potential and other-caused agency on willingness to take over driving. Cluster analysis revealed four distinct subgroups of drivers: High Takeover Willingness, Low Takeover Willingness, Influenced by Other Road Users, and Goal-Directed drivers, each of which showed a unique response to the driving scenarios. This study suggests that understanding the impact of emotions on the willingness to take over driving will help prevent this type of behavior and improve safety. [ABSTRACT FROM AUTHOR]

In modern times, internationally organized teams face a number of coordination problems owing to their different physical operating locations. These challenges usually come in temporal, cultural, and linguistic forms. To resolve some of these issues, we need more coordination, teamwork, and shared understanding in the requirements engineering phase. Many approaches have been introduced to overcome these challenges associated with global software engineering (GSE). The objective of this research study is to introduce amateurs to GSE and improve their understanding of its associated challenges through an activity‐based learning approach. Our method is primarily targeted toward students who already have theoretical knowledge on the topic but require first‐hand experience with GSE. With the aforementioned motivation in mind, we propose, designe, and empirically evaluate two different activities that can help enhance awareness of GSE challenges. For each activity, we simulate an environment wherein participants are made to go through various constructed coordination challenges related to communication, time management, team mistrust, linguistic barriers, cultural barriers, and distribution of tasks. The effectiveness of our proposed activities, captured by the extent to which participants were able to deal with GSE challenges, was judged through various techniques including (i) observation, (ii) post activities survey questionnaire, and (iii) brainstorming and discussion. We show that the proposed activities were effective in helping students learn and further their understanding of GSE concepts. In particular, discussion sessions and survey questionnaire results reflect their ability to identify critical GSE challenges (specifically related to teams) in a simulated scenario. [ABSTRACT FROM AUTHOR]

Objective. The purpose of theoretical research is the need to formulate and describe additional approaches and topical issues and tasks when conducting an expert assessment of group (collective) aspects of the human factor's influence on the safety of technical systems.Method. The paper considers the methodology of assessment based on the use of the Gauss distribution for the statistical description of cases of the influence of the human factor on safety, shows the relationship between individual and group aspects.Result. Examples are given and explanations are given for the application of a quantitative assessment of the influence of the human factor on the safety of technical systems, taking into account the consideration of safety culture, different levels of professionalism of employees, organizational measures taken, the possibilities of the method and its potential tasks are formulated.Conclusion. The use of statistical distributions to describe the impact of the human factor on safety makes it possible to combine and describe the relationship between individual and group aspects of the phenomenon. This allows the expert to carry out quantitative assessments, modeling and make predictions on the level of safety culture in the organization and the effectiveness of production management or technical systems.

The article studies importance and consequences of making managerial decisions in today’s organizations. The role of executives and managers in the process of decision-making was shown and the conclusion was drawn that their adequate fulfillment is essential for successful work of the organization. The author describes goals being pursued in making managerial decisions: maximum profit, optimization of resources and strengthening positions on market. Apart from that, the author studies key objectives, which face executives in decision making, such as elaboration of strategic decisions, identifying priorities, managing risks and providing productivity and innovation.

The article presents more than ten years of experience in testing the abilities of pilots during flight control on flight simulators. A hypothesis is stated about the possibilities of finding common features in flight control, the basic mathematical apparatus for evaluation is presented, the flight simulators used and, of course, the achieved results are presented. 110 pilots have already been tested and a total of 2360 missions - test flights - have been simulated. Subsequent mathematical analysis provided approximately 40,000 results suitable for further statistical processing. This amount of data obtained from realistically simulated flights provides a prerequisite for defining applicable conclusions to the proposed mortgages. For the needs of subsequent certification, a proposal for the pile measurement methodology was also prepared, which summarizes both the theoretical approach to pile testing and the procedure for carrying out tests on individual simulators. Part of the proposed methodology includes an overview of the software created to facilitate the recording of data from individual missions, as well as software for own analysis of the measured data from the missions.

In the late twentieth century, the term "System of Systems" (SoS) became popular to describe a complex system made up of a combination of independent constituent systems. Since then, several studies have been conducted to support and assess SoS management, functionality, and performance. Due to the evolutionary nature of SoS and the non-composability of the security properties of its constituent systems, it is difficult to assess or evaluate SoS security. This paper provides an up-to-date survey on SoS security, aimed at stimulating and guiding further research efforts. This systematic mapping study (SMS) focuses on SoS security, privacy, and trust. Our SMS identified 1828 studies from 6 digital libraries, 87 of which were selected that presented approaches analyzing, evaluating, or improving security. We classified these studies using nine research questions that focused on the nature of the studies, the studied SoS, or the study validation. After examining the selected studies, we identified six gaps and as many future work directions. More precisely, we observed that few studies examine SoS problems and instead propose specific solutions, making it challenging to develop generalizable approaches. Furthermore, the lack of standardization has hindered the reuse of existing approaches, making it difficult for solutions to be generalized to other SoS. In addition, the lack of descriptions of industrial environments in the literature makes it difficult to design realistic validation environments. As a result, the validation of new SoS research remains a challenge in the field. [ABSTRACT FROM AUTHOR]

Recent maritime cybersecurity accidents reveal that shipping is facing increased exposure to cyber threats, especially due to the fast-growing digitalisation of the sector, leaving vessels and their onboard systems vulnerable to cyberattacks. This research aims at evaluating the relationship among the critical dimensions influencing cybersecurity performance in the maritime industry. To achieve this, six critical dimensions related to cybersecurity preparedness are first identified through literature review, namely 'regulations', 'company procedures' from a managerial perspective and 'shipboard systems readiness', 'training and awareness', 'human factor' and 'compliance monitoring' at an operation level. A Likert-scale questionnaire is designed and used to collect empirical data from 133 seafarers and shore-based staff. Structural Equation Modelling (SEM) is applied to examine the causal relationships between the six dimensions and shipboard cybersecurity performance. The results show that 'regulations' positively influence shipping companies' cybersecurity-related 'procedures', which in turn positively affects 'shipboard systems readiness', 'training and awareness', and 'monitoring'. Further, 'training and awareness' positively influences the cybersecurity performance of ships. The results have profound implications for the shipping industry on how to strengthen their cyber practices in order to improve their cybersecurity performance. Recommendations for future academic research related to maritime cybersecurity are also provided. [ABSTRACT FROM AUTHOR]

The purpose of the study was to find out the knowledge, attitude and behavior of library employees related to information security in seven areas of the information security policy involving employees: password management, use of email, use of the Internet, use of social media, use of mobile devices, handling of information and reporting of cyber incidents. The theoretical part provides an overview of the importance of the topic in the context of libraries, the reasons why information security and cyber security must be at the same high level in libraries as, for example, in banks or healthcare institutions – we can only imagine what would happen if the digitized cultural memory of Estonia disappears or user data is leaked. The HAIS-Q (Human Aspects of Information Security Questionnaire) developed by Parsons et al. was used to collect data in order to assess information security awareness (ISA) within the organization. The method is based on three factors developed by the same authors: the Knowledge-Attitude-Behavior (KAB) model, which determines the security awareness of employees. The target group of the online questionnaire was Estonian librarians. A total of 388 librarians from public, research, school and specialist libraries responded to the survey. The mean and standard deviation of each focus area, descriptive statistics, Cronbach's coefficient and Pearson correlation analysis were used to achieve the research objective. The results revealed that the chosen methodology is well suited for assessing the cyber literacy of not only library staff, but also the staff of all memory institutions (archives, museums) and identifying training needs. [ABSTRACT FROM AUTHOR]

The primary trends defining the paths toward sustainable development in rural areas of Bulgaria underscore the significant influence of human resources., and the priorities are oriented towards stimulation of the vocational training and science based skills, obtained through appropriate education and specialized training, and leading to success in the development and management of the local economy. The tendency, related to the problem is highlighted as the shortage of adequately educated and skilled entrepreneurs capable of harnessing technological advantages in agricultural production and implementing innovative technologies. The goal of our study is related to investigation and summarization of basic tendencies in this aspect, within Bulgarian agricultural enterprises, the emphasis lies on the crucial connection between theoretical knowledge and hands-on experience, particularly highlighting the importance of educating and training agricultural producers. The education and practical application of scientific knowledge by those engaged in agriculture are vital components for achieving success and ensuring the sustainability of economic endeavours at the local level. By promoting education and training for individuals involved in agricultural activities in the agrarian sector, the agriculture guarantees its sustainable and efficient development, which without doubt reflects on the increase of the sustainability of the rural territories, as a whole. The results of the study formulate guidelines, conclusions and recommendations related to recognition of the need of ensuring the proper education and training of agricultural producers, especially in the realm of environmentally friendly practices and innovative technologies. In conclusion, the synthesized research findings provide insight into the tendencies in basic strategic documents supporting knowledge, as well as data for the educational status in the Bulgarian agrarian sector regarding the potential and significance of the human factor. Future guidelines for the study in the sphere of human resources are outlined in the modern agriculture and the Bulgarian rural territories. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of the study is the critical reflection of managerial pressure on the minimization of process variability by management methods based on measurability and performance of companies with the help of technological functions. Methodology: The study analytically describes management efforts to minimize the process variability and capitalize on technological innovations to increase flexibility and efficiency of work processes. Then the study analyses the logistical and personal consequences of process minimization in the context of general managerial principles. The Research questions are: 1. What are the implications of the current efforts of management to minimize its processes? 2. What are the personnel implications of minimizing processes? Results: Identification of technological optimism applied to production management and logistics, and limits and weaknesses of minimization of process variability by mechanical and technological management approaches in order to increase efficiency, regardless of the potential of staff. The consequences and specific challenges of study are particularly important for strategy and management. Research limitations: As it is a conceptual study, it is natural that it works with a certain perspective of the authors, who are motivated by practical experience in companies and the need to talk about the mentioned phenomena in management education. This means that the study only touches on some areas and leaves others out. The study also does not claim to be a comprehensive exhaustion of all related topics, it is a stimulus in what it condescendingly names. The biggest proctor for further work lies in the rapidly evolving digitalization and application of AI in organizations and companies. Further potential lies in deeper analysis of human thought processes and decision making in critical situations. This field (e.g., neuroscience) is also developing its research rapidly. Practical implications: Conceptual study deals with a critical discussion over the current trends of management, which believes in improving the performance of companies through minimization of process variability. However, mechanistic approaches or technological innovations have a significant limit, that manifest themselves in negative impact on workers exposed to increased digital control. Originality: The reduction of motivation, creativity, autonomy, active participation in corporate processes, disruption of corporate culture etc., are only some of them. The resulting consequences reveal the reason for team member burnout, as well as the decrease of creativity, inspiration, and long-term stability of the staff. [ABSTRACT FROM AUTHOR]

The new AI based conversational chatbot, ChatGPT, launched in November 2022, is causing a stir. There are many opinions about this being a ‘threat or a promise,’ and thus it is important to understand what has been said about this tool and, based on the growing literature that has emerged on the subject, demystify its effective impact on society. To analyse this impact, a systematic literature review with the support of the preferred reporting items for systematic reviews and meta-analysis protocol was used. The data, scientific documents, were collected using the main scientific databases – SCOPUS and Web of Science – and the results were presented based on a bibliometric and thematic exploration of content. The main findings indicate that people are increasingly using this chatbot in more diverse areas. Therefore, this study contributes at the practical level, aiming to enlighten people in general – both in professional and personal life – about this tool and its impacts. Also, it contributes at the theoretical level, which involves expanding understanding and elucidation of the impacts of ChatGPT in different areas of study. [ABSTRACT FROM AUTHOR]

BACKGROUND: The tunnel section is a complex traffic scenario and an accident prone area. There are differences in the performance of different driving groups in tunnel environments, which may have an impact on traffic safety. OBJECTIVE: To study the differences in the impact of tunnel environment on professional and non-professional drivers. METHODS: Based on the vehicle experimental data, the electroencephalography (EEG) power was compared for professional and non-professional drivers. The impact of illumination changes and longitudinal slope on different driving groups was analyzed. RESULTS: At tunnel entrance with severely reduced lighting, the adaptation time of non-professional drivers to the light environment is 1.5 times that of professional drivers. When driving on the longitudinal slope, professional drivers perform better. The greater the longitudinal slope, the more obvious the advantages of professional drivers. However, in areas with relatively good traffic conditions, professional drivers are more prone to be distracted. CONCLUSION: Professional and non-professional drivers have their own advantages and disadvantages in the tunnel environment. In general, the driving adaptability of professional drivers is better than that of non-professional drivers in tunnel sections. The research conclusions provide a reference for driver safety training. [ABSTRACT FROM AUTHOR]

This article addresses issues related to assessing the impact of a pilot's psychophysiological stress on the quality of aircraft piloting techniques. The quality of aircraft control was evaluated through changes in flight parameters, specifically the roll and pitch angles during the landing approach. The study utilized the analysis of autocorrelation functions of the controlled parameter and their spectra. The proposed mathematical apparatus allows tracking the moment when the pilot's psychophysiological stress increases to the point of emotional instability, constructing a function of its influence on the quality of aircraft piloting. This method is necessary for improving crew training for special situations in flight. [ABSTRACT FROM AUTHOR]

The purpose of this article is a complete, comprehensive, bibliometric, doctrinal and empirical study of the general theoretical foundations of economic dimensions and paradigmatic mechanisms for managing personal security. The methodological basis of the work is a pluralistic and complementary combination of modern general philosophical and legal approaches, general scientific and special scientific methods, techniques and principles of scientific knowledge, due to the uniqueness of the subject of research, necessary to ensure its objective study. By means of bibliometric analysis, the trends and key areas of personal security research in the context of financial and economic security are determined. For the first time, a comprehensive analysis of the general theoretical foundations of economic dimensions and paradigmatic mechanisms of personal safety management is presented using a wide range of general and special scientific methods, techniques and principles of scientific knowledge. The generalization of the paradigmatic mechanism of the empirical study of the components of personal security made it possible to distinguish the following components: motivational one – the need for security, emotional one – the sensitivity to dangers, cognitive one – the beliefs about security, and behavioural one – the forms of response to hazards. The authors proved that there is a correlation between the indicators of the personal security component "Beliefs about security". In particular, it can be assumed that the significance of a person to himself determines the degree of his self-control and, accordingly, the reaction to external factors in the context of ensuring security. Besides, the benevolence of the world directly affects the self-esteem of the individual and his ability to control the processes around him. [ABSTRACT FROM AUTHOR]

This study focuses on the tire–road friction estimation for the predictive control strategy of electronically limited slip differential (ELSD) to improve the handling and acceleration performance of front-wheel drive cars, which typically suffer from excessive understeer and inner drive wheel spin during acceleration while turning due to reduced vertical load on the wheel. To mitigate this, we propose a control logic for ELSD that enhances course followability and acceleration by pre-transferring the driving torque from the inside to the outside wheel, considering the estimated traction potential for rapid response. It is essential to improve the control accuracy of wheel spin prediction by predicting the friction coefficient of the road surface. Furthermore, this study extends to the analysis of vehicle dynamics during lane-change maneuvers on low-friction surfaces, emphasizing the role of accurate tire–road friction estimation in vehicle safety. A CarSim 2023-based simulation study was conducted to investigate the vehicle response on snowy roads with low friction coefficients (μ = 0.2) and low temperatures (−5 °C). The results demonstrated that even minimal steering input could result in significant side-slip angles, highlighting the nonlinear vehicle behavior and the critical need for robust traction estimation in such challenging conditions of general racing tracks. The proposed friction-estimation method was evaluated through vehicle testing and has been substantiated by patents for its originality in control and friction-estimation approaches. The outcomes of these combined methodologies underline the critical importance of tire–road friction coefficient estimation in both the effectiveness of the ELSD system and the broader context of active safety systems. [ABSTRACT FROM AUTHOR]