Decision Speed Research Articles

The relationship between deliberate practice, play, and futsal in childhood and adolescence and the development of different decision-making skills in professional female soccer players

Soccer players’ ability to make efficient and quick decisions has gained more importance due to the increase in game speed in the last few years. Therefore, this study aimed to examine the relationship between the engagement in previous developmental activities in soccer and futsal with the quality and speed of decision-making skills in different phases of sport development of elite female soccer players. The sample comprised 77 elite Brazilian professional female soccer players. Players’ decision-making skills were assessed based on an objective video-based test – TacticUP®. We used a retrospective questionnaire to collect information about previous participation in different developmental activities. The results showed that engagement in deliberate practice in soccer and futsal, especially during childhood and early adolescence, is related to a better quality of offensive decision-making skills, although showing small to medium effect sizes. We highlight that deliberate practice in futsal is associated only with offensive decision-making skills with the ball and near the ball. In turn, engaging in deliberate play in soccer, mainly in childhood and early adolescence, is related to quicker offensive and defensive decision-making skills, showing mostly medium effect sizes. To the best of our knowledge, it was the first study to measure the relationship of decision-making speed with developmental activities in soccer. It is concluded that deliberate practice in soccer and deliberate play in soccer are associated with different dimensions of decision-making skills.

Design and feasibility study of a HCPS framework-based VR alpine skiing decision-making training system

Alpine skiing beginners are easily injured if they fail make the right decisions when faced with unexpected situations. Excellent decision-making requires extensive training, while alpine skiing training is limited by time and space. To address these issues, this paper combines VR and machine learning techniques to develop a high fidelity VR skiing decision-making training system based on HCPS framework. The aim is to train beginner skiers in decision-making by creating automated and repeatable virtual scenarios. Firstly, physical world (ski resort environment, and user motions) was mapped into the VR world using the HCPS framework. Afterwards, the user’s decision motions were made based on the scenarios provided, while being identified through an improved SVM (94.5% accuracy). The motion recognition results were fed into the expert system to assess the feasibility of the decision-making. Finally, the feasibility of the system was assessed with a combination of subjective and objective approaches. The results showed that the VR system significantly improved the participants’ skiing decision-making ability and speed compared to traditional 2D video training. The high fidelity environment reduced participants’ motion sickness symptoms and resulted in a better sensory experience. In addition, participants were more focused in the high fidelity environment. Overall, these results demonstrated the construct validity of the virtual ski decision-making training system. This study changes the traditional training method to create an immersive training environment, and provides an effective avenue for the development of sports training.

How online information search behavior and the role of tacit knowledge differ across clusters of purchase situations

Online information sources increase the amount of information that is available for purchasing managers in a particular purchasing situation. Yet, how buyers make use of that information and thereby rely on tacit knowledge is theoretically still poorly understood. This paper relies on 40 qualitative in-depth interviews with purchasing managers from different manufacturing industries. Whereas previous research mainly considered the purchasing organization or the purchasing department as the unit of analysis, we are able to provide a finer-grained understanding by zooming-in on separate purchasing situations and employing a quantitative method to cluster these. We find that online information search is differentiated in terms of its extent and role. It is particularly relevant in buying situations characterized by high novelty, while at the same time, these can have either high or low levels of risk, complexity, and importance. We also find that the role of tacit knowledge is differentiated. Across different purchase situations, this provides various kinds of support to purchasing managers to identify, retrieve and use information. Sometimes tacit knowledge aids speed and efficiency of decision-making, but in other clusters, it helps to deal with large amounts of complex information. Furthermore, purchase situations can be distinguished as to whether tacit knowledge is based on accumulation of experience with similar buying situations versus broader purchasing experience.

Case Report of Improvement in Long-COVID Symptoms in an Air Force Medic Treated With Transcranial Magnetic Stimulation Using Electro-Magnetic Brain Pulse Technique.

Long-coronavirus disease (COVID) is an ill-defined set of symptoms persisting in patients following infection with COVID-19 that range from any combination of persistent breathing difficulties to anosmia, impaired attention, memory, fatigue, or pain. Recently, noninvasive transcutaneous electrical brain stimulation techniques have been showing early signs of success in addressing some of these complaints. We postulate that the use of a stimulation technique with transcranial magnetic stimulation may also similarly be effective. A 36-year-old male suffering from symptoms of dyspnea, anosmia, and "brain fog" for 2 years following coronavirus infection was treated with 10 sessions of Electro-Magnetic Brain Pulse (EMBP®), a personalized transcranial magnetic stimulation protocol guided by the patient's electroencephalograph (EEG). At the conclusion of the treatment, the patient had improvements in mood, sense of smell, and brain fogging. Dyspnea also decreased with a gain of 11% forced expiratory volume 1/forced vital capacity. A high-sensitivity athletic training cognitive test showed an overall 27% increase in aggregate score. A significant portion of this was attributed to changes in visual clarity and decision-making speed. Post-treatment EEG showed a shift from predominantly delta waves to more synchronized alpha wave patterns during the resting state. Brain stimulation techniques appear to be showing early signs of success with long-COVID symptoms. This is the first case describing the use of a magnetic stimulation technique with quantitative test results and recorded EEG changes. Given the early success in this patient with cognition, dyspnea, and anosmia, this noninvasive treatment modality warrants further research.

ВПЛИВ ШТУЧНОГО ІНТЕЛЕКТУ НА ЗАЙНЯТІСТЬ У БІЗНЕСІ

The article is devoted to the study of the impact of artificial intelligence on employment in businesses. Recent advances in natural language processing and recognition, machine learning platforms and AI-optimized hardware, as well as free access to these technologies, have created an urgent need to implement them in business to ensure high results in financial and economic activities. The study presents the prerequisites that formed the basis for the formation and development of a new era of AI automation. The scientific achievements and conclusions of international companies regarding the role of artificial intelligence in the global economy are analyzed, and the trends in its use by organizations at different levels of management are revealed. The authors characterize the methods of automation of various types of work at an enterprise with the use of the technologies under study and the impact of the process on employment and wages. It is found that today the greatest impact is the recovery effect, based on which conclusions are drawn about the need for synergy of human and machine labor, rather than their separate functioning. The reasons for the attractiveness of AI automation for business are identified, and examples of their effective implementation are given. There are revealed advantages of the increasing use of technology in business: cost savings, increased revenue, increased productivity and competitiveness of companies, creativity and personalization, limiting the influence of the human factor on work results. The article highlights the threats of large-scale introduction of AI into business activities for employees, which include excessive control over them by employers, violation of the principles of information confidentiality, complexity and imperfection of the system, constant updating of requirements for advanced training, and the necessity to train employees to interact with intelligence. These threats can lead to employee dismissals, loss of motivation, and aggravation of social inequality and social justice issues, which will generally create a negative attitude toward the company. Based on the analysis of data sets on professions with a high risk of AI automation in various industries and the projected change in demand for them, the authors reveal a correlation between the level of threat and the complexity of tasks, the creativity involved, and the speed in decisionmaking and implementation. Finally, it is concluded that new approaches to regulating the impact of technology on the structure of employment should be applied due to its dynamic growth.

The role of citizens' social security in maintaining the national security of the Russian Federation

The subject of the study is the analysis of the dynamics of social security legislation in modern Russia, the development and reliability of which directly affects the internal stability and national security in the country. The author examines in detail the issue of increasing the role of the subjects of the Russian Federation in the social security of citizens on the example of recent events that have affected social stability within the country, such as the coronavirus infection and the conduct of a special military operation. The choice of subjects to whom social security is directed depends not only on subjective factors (low-income, disability, marital status, many children), but also on the geopolitical, economic situation and other factors. At the same time, the author assesses the trend of regionalization, given that social security is under the joint jurisdiction of the Russian Federation and its regions. The author has identified the tendency of regionalization of social security legislation, which has positive and negative sides, reflecting on the level of social security of citizens. The author concluded that there should not be extremes in the form of passive adaptation of the regions or, on the contrary, their exclusive initiative in the social security of citizens. The initiative and participation of the subjects of the Russia today are key, while we should not forget about subjective factors (the speed of managerial decision-making, the quality of work of the system of authorities of the regions, the presence of necessary structures/organizations in it), taking into account which it is necessary to build a system of productive interaction, where the state assumes the main role. It is this approach to the legal regulation of social security of citizens that can ensure social security and preserve stability and security within the country.

The impact analysis of the un-commanded brake caused by pedal jamming on the aircraft

The rudder brake pedal unit is an important part of aircraft flight control system, also is the human machine interface for pilots to control the aircraft rudder and brake. By applying forces at different positions and directions on the pedals, the pilot can realize the rudder control and brake control functions respectively. This paper takes the rudder brake pedal control unit of civil aircraft as the research object. The research process is as follows. Firstly, an analysis about the influence on the compression of brake sensor by operating pedal when the brake pedal jamming is carried out using CATIA. Secondly, the forces acted on aircraft during rolling on the ground are analyzed and the ground dynamic equations are presented. Finally, through the simulation on the engineering simulator of a certain aircraft, the influence of differential brake caused by brake pedal jamming on the aircraft speed after V1 (take-off decision speed) in the take-off phase is verified. The research results of this study show that, the impact of un-commanded differential brake caused by rudder brake pedal jamming on the safety of the aircraft must be considered during the aircraft design process, and effective measures must be taken to avoid the occurrence of un-commanded deceleration after V1 in the take-off phase.

CEO Stock Ownership, Recall Timing, and Stock Market Penalties

Problem definition: Firms often delay the decision to recall faulty medical devices long after they become aware of a defect, thereby putting public safety at heightened risk. However, the factors contributing to these delays are not well-understood. To help address this gap, we examine whether and how CEO stock ownership influences the speed with which faulty medical devices are recalled and whether this influence varies with recall severity. We then examine whether the stock market penalizes firms differently based on recall decision-making speed and whether this penalty also varies with recall severity. Methodology/results: We collect data on 2,144 medical device recalls across 50 public medical device firms from 2002 to 2015. We use accelerated failure time models to test the effects of CEO stock ownership on the time-to-recall and event study methodology to examine how the time-to-recall influences stock market returns. Supplementary analyses shed further light on underlying mechanisms. Robustness checks demonstrate consistent results, including coarsened exact matching, reverse causality tests, Cox proportional hazard models, generalized linear regression models, and a mediation analysis. Firms whose CEOs possess greater ownership stakes recall medical devices more slowly, and this recall-slowing effect is accentuated for high-severity recalls. Delaying recalls magnifies the stock market penalty attributable to the recall, particularly for high-severity recalls. Managerial implications: Our study highlights an ownership characteristic of firms that are more likely to delay recalling faulty medical devices. Boards of directors can use insights from our study as they oversee product-quality decisions and determine the level and form of CEO compensation, and the FDA can use our findings to identify firms that might warrant extra scrutiny and better allocate its limited monitoring resources.Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2021.0175 .

The Leadership Styles of Administrators and the Professional Effectiveness of Teachers - Enlighten Innovation and Creative Learning Among Educational Institutions

Purpose: Any organization's leadership effectiveness is a determining factor in whether or not it is successful. Effective leadership is essential in today's society since job switching and/or attrition rates are on the rise due to the increasingly competitive environment. Optimal productivity and effectiveness in achieving of organization’s objectives are ensured by effective good leadership. The purpose of this research is to summarise and analyse administrative leadership styles and teacher effectiveness in educational institutions. Theoretical Framework: It contains many studies undertaken by various scholars on administrative leadership styles, teacher effectiveness and their performance in educational institutions. Design / Methodology / Approach: This is the review article. The secondary sources used to develop this study were journals and publications. In order to convey the significance of the research issue, a descriptive research design is used to interpret the data and findings. Findings: Teachers' effectiveness is totally impacted by the leadership style of educational institutions of the administrators. The effectiveness of teachers was found to be influenced by the leadership styles used by administrators of educational institutions. According to research, school administrators who employ transformational leadership are the most successful to improve teachers' effectiveness, whereas autocratic (dictatorial) and laissez-fair (unchallenged) leadership was proven to have a negative effect on teachers' performance and effectiveness. Research, Practical and Social implications: Employee morale, productivity, the speed of decision-making, and other important areas are all impacted by a leader's style on the organization. Successful leaders do this by thoroughly analyzing issues, evaluating the competence of their staff, weighing their options, and coming to a well-informed decision. Originality/ Value: The study's contribution is in assisting administrators and teaches in identifying effective teaching methods and leadership styles and putting them into practice in the workplace.

Neural network for classification of MnS microinclusions in steels

The influence of MnS inclusions on steel properties is highly noticeable. For instance, higher severity levels of inclusions are associated with lower mechanical properties and a higher risk of failure in service. Manual inclusions classification methods are the most used in laboratories and metallurgical sector industries because of their low cost, while automatic methods have high operating costs, which makes their use more restrict. Neural network models, on the other hand, are extremely advantageous for several applications. The present study is motivated by the use of a neural network model for classifying inclusions in steels. The aim is to achieve the highest possible accuracy in classifying the MnS inclusions severities (0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, and 4.5) using optical images captured from steel specimens. The results have showed that the classification of MnS severities was very sensitive to the database number of images. A 98% training accuracy was obtained by increasing the number of images from 3,156 to 4,136, mostly adding images for some severity levels. However, validation and test results were not satisfactory. As such, a severity re-categorization of the database was able to enhance the true positive values, with an error of 8%. In general, the neural network represented speed in decision making, proving to be a potential tool for classifying steel inclusions.

DEVELOPMENT OF A DIGITAL SYSTEM FOR CREATING AN EDUCATIONAL SCHEDULE AT THE UNIVERSITY

In modern conditions of the development of higher education, the need to use digital methods of presenting the schedule of training sessions becomes obvious. The use of information systems in higher educational institutions is not uncommon. The paper presents one of the possible options for the software implementation of the approach to the development of a web application for the preparation of the curriculum at the university. Initially, existing solutions in this area were analyzed, but it was found that their capabilities were insufficient for the specifics of the specific task under consideration. The main goal of the algorithm and program development is to increase the efficiency of employees. Currently scheduling is done manually. The developed application allows to automate a time-consuming process, reduce the number of possible technical errors, increase the speed and accuracy of decision-making. The approach that was chosen to solve the initial problem is to create a unified system of several components that interact with each other and allow to present the schedule of training sessions in a convenient way. A unified digital schedule system was implemented, which includes an application for creating a training schedule, a chat bot for digital presentation of the schedule, an application for managing and configuring the chat bot of each of the faculties for faculty heads. The problem of unifying the schedule has also been solved, which made it possible to scale the “digital schedule” available at one of the faculties for the entire university as a whole, as well as to improve it.

Investigating How COVID-19 Affects Consumers\' Online Shopping Habits

Abstract: The study of online consumer behavior is especially pertinent today given the development of the COVID-19 epidemic and the growing significance of e-commerce. The goal of this study was to provide a systematic framework for evaluating the linkages and degree of influence of the elements influencing online consumers' purchase behavior against the backdrop of the COVID-19 epidemic. The Cattell questionnaire was modified, and correlation analysis was used, as the foundation of the research approach. This study employed the questionnaire approach to ascertain the tendency of online consumer behavior at the moment of making a purchase choice. The proposed methodological toolkit to assess online consumers' purchasing behavior is the scientific contribution; it identifies the most important variables that affect this behavior and offers a chance to evaluate the dynamics of their activity over the course of the study, to spot important trends and assess behavioral changes. The study identified the expected alterations in online consumer purchasing patterns during the COVID-19 epidemic. Consumer experience and awareness have a bigger impact now. Consumers who shop online are now more seasoned, which has changed the activity of their purchasing habit. This study demonstrated the shifting impact of pandemic-related online consumer purchasing behavior determinants. When making online purchases of products and services, consumers' decision-making speed is becoming more and more crucial.

Social Media Use as an Impulsive 'Escape From Freedom'.

It has been suggested that avoiding choice represents an anxiety-avoidance strategy, which has not been investigated in the context of social media. To this end, the current study explored the relationship between social media dependency and a preference for 'forced' choice, along with its association with anxiety, intolerance of uncertainty, and experiential avoidance. The sample comprised 151 volunteer participants (18-32years) who completed a psychometric test battery, including: the Bergen Social Media Addiction Scale; Spielberger Trait Anxiety Inventory; Intolerance of Uncertainty Scale; and Brief Experiential Avoidance Questionnaire. They also undertook a behavioural assessment based on a paradigm developed for pigeons, in which they selected either a situation with a free choice of alternatives, and one with a forced choice. Intolerance of uncertainty mediated the relationship between social media dependency and anxiety. In addition, those with lower social media dependency preferred being able to choose the contingency they worked on, while those with higher scores exhibited no such preference. This partly confirmed that social media dependency is associated with a reduced preference for freedom, but does not suggest social media dependency actively produced a preference for a lack of freedom. The speed of decision making was also faster in those with high social media dependency scores, in line with previous findings that they show higher levels of impulsive behaviours. The results suggest that anxiety and social media dependency are related, and fear of uncertainty and is linked with digital experiential avoidance.

Fast and high‐quality decision‐making: The role of behavioral integration

AbstractDecision speed and quality are both vital for organizational survival and prosperity. However, they are assumed to be in tension, and there has been limited theory development concerning whether, and if so how, both are attainable. To address this gap, we turn to behavioral integration which captures the intensity of intrateam interactions. While behavioral integration is considered an antecedent of decision quality, it is presumed to slow decision‐making, and overall, there remains a “black box” surrounding the mechanisms, behaviors, and processes which transmit behavioral integration to decision outcomes. Our theoretical account challenges the notion of behavioral integration being an impediment to decision speed, and we present new theory and evidence—comprising a mixed‐method field study—explaining how behavioral integration acts as a key driver of both decision speed and quality while theorizing decision uncertainty as a new and important boundary condition.

SISTEMPENDUKUNG KEPUTUSANMENENTUKAN MAHASIWA LULUSAN TERBAIK DI FAKULTAS ILMU-ILMU SOSIAL UNIVERSITAS DEHASEN BENGKULUMENGGUNAKAN METODE AHP

Abstract: Decision Support System for Determining the Best Student in the Faculty of Social Sciences, University of Dehasen Bengkulu Using the "Analytical Hierarchy (AHP) Method"
 The ability to make quick and careful decisions will be the key to success in global competition in the future. Having a lot of information alone will not be enough, if you are able to mix it quickly into the best alternatives for decision making, to help humans, especially decision makers in determining virtues, in a precise, efficient and effective manner, a decision-making model known as the System is needed. Decision Support (SPK). Data processing aids accompanied by software can increase the ability of decision makers, improve accuracy and speed up the process.
 From the design process to the implementation of the system that has been carried out in the Decision Support System for Determining Outstanding Students at the Faculty of Social Sciences, Dehasen University, Bengkulu Using the Analytical Hierarchy (AHP) method, several conclusions can be drawn as follows:
 
 Decision Support System for Determining Outstanding Students at the Faculty of Social Sciences, University of Dehasen Bengkulu Using the Analytical Hierarchy Method (AHP is a website application that can be accessed flexibly by both users and admins/campus parties, only with an internet connection.
 This system can already be used to provide detailed purchase transaction reports, sales reports and product reports.
 
 Keywords, AHP, SPK, Mysql & PHP

Electronic Communications in Information and Analytical Activities

The goal of the work. The scientific problem is highlighted with the aim of systematizing and summarizing the known and new knowledge about electronic communications in information and analytical activities from the point of view of the present and the prospects of their use. The research methodology consists in the application of methods of description, information diagnostics, review and analysis, generalization and system approach. The scientific novelty of the work consists in the generalization and systematization of known and new knowledge about electronic communications in analytics from the point of view of the present and the prospects of their use within one study. Conclusions. The article highlights the current opinions of researchers and the author's position on the use of electronic communications in information and analytical activities, and in this connection reveals new opportunities and advantages of modern online (operational) analytics, while pointing out the existing threats and dangers associated with with digitization and automation of information processes. The works of domestic researchers were analyzed: O. Adler, I. Vinnikova, V. Glowatskyi, O. Kalita, O. Oksentiuk, P. Pucenteilo, I. Khvalchyk., L. Voloshchuk, K. Shaposhnikova and others. Their modern views on the use of electronic communications in information and analytical activities formed the basis of the presentation of the main material. It is emphasized that we have an objective process of development of electronic information technologies and it depends on our choice whether we will have competitive advantages, using them with maximum benefit. Separate information technologies, their advantages and possibilities of application in information and analytical activities are described. Based on the studied material, the logic of the information-analytical process, the author suggests the use of certain electronic communications depending on the subject of analysis and other factors. The methodology is based on the systematic use of electronic technologies in the information and analytical process. The practical use of these technologies clearly affects the speed and quality of management decision-making, which will contribute to the efficiency of any activity. Keywords: information and analytical activity, digitalization, electronic communication, electronic resources, information technologies, management decision.

Features of emotional burnout in medical staff

Introduction. The article is devoted to a comparative analysis of the burnout syndrome in military and civilian doctors, as well as nurses. At the present stage of healthcare development, the professional activity of medical personnel is accompanied by increasing requirements for the quality of medical care provided to the population. Recently, in a variety of sources: scientific literature and the media, it is indicated that specialists are overloaded with both a large flow of patients and documentation, as well as the minimum amount of time allotted for one patient. These factors are both the main cause of the ever-decreasing quality of medical care and professional burnout among the majority of medical personnel. There is much less information in the available sources about the activities of military doctors, however, in connection with the well-known events, the problem of burnout syndrome is becoming more and more urgent. Materials and Methods. Analysis of the literature on the syndrome of emotional burnout, the study of literature covering the activities of military doctors for the development of a professiogram. As empirical methods, the questionnaire "System index of burnout syndrome" based on the MBI test (Maslach Burnout Inventory) was used. For statistical processing, the nonparametric Mann-Whitney difference test was used; SPSS 19.0 software was also used to calculate Pearson's Chi-square test. Results. The results of the analysis showed that the level of emotional burnout among civilian doctors is higher in all indicators. In addition, it was found that civilian doctors have a significantly higher level of reduction in professional achievements. In turn, professional burnout in nurses is expressed mainly at the average level. Discussion and Conclusions. The analysis of the differences between civilian and military doctors for all indicators of emotional burnout showed that the average values for all indicators of the scale are higher for civilian doctors, that is, civilian doctors are more susceptible to this process compared to military doctors. The study of the qualities that ensure the success of professional activity revealed that volitional qualities, speed of decision-making, the ability to concentrate, as well as great responsibility for the results of their activities, dominate among military medical specialists. At the same time, the listed qualities are no less important in the work of a doctor in a civilian medical institution. A comparative analysis of the characteristics of the professional activities of military and civilian doctors led to the conclusion that such factors as a greater opportunity for creativity, a greater measure of responsibility and military discipline, and professional growth prospects influence the reduction in the risk of professional burnout among military doctors.

USE OF GEO-INFORMATION TECHNOLOGIES WHEN CONDUCTING COMBAT OPERATIONS IN MODERN CONDITIONS

The article considers the actual problem of the specifics of attracting additional resources when conducting military operations in modern conditions using the latest technologies and geo-information systems. The purpose of the article is to systematize modern technical means, namely geo-information systems for military purposes, which significantly affect the outcome of hostilities. An important task is the use of the latest technical and organizational developments. The authors consider in detail the advantages of using geographic information systems with up-to-date databases of attributive information and their use by both command and rank-and-file members of the Armed Forces. This will be facilitated by the spread of specialized applications that can be installed on an ordinary smartphone. In turn, the speed of making an informed decision will be influenced not by the availability of relevant information but also by the speed of decision-making. The solution to this problem will be facilitated by the developed interface of the latest software tools. The authors of this study solve the following tasks: they analyses the features of modern military operations and the conduct of hostilities with the help of modern technology and software tools. The authors systematize the features of attracting additional resources when conducting hostilities in modern conditions. The article proposes a general scheme for the use of human resources in modern warfare, as well as the collection, and processing of information, the formation of a database, and further use of data with the help of military GIS. The authors suggested using the interaction of satellite communications, modern methods of obtaining intelligence, and the interaction of headquarters and units directly performing combat tasks. As a promising direction for the development of the Armed Forces, it proposed to attach tasks to a digital information map and to accumulate and transfer information using modern geodatabases and data processing by modern battle management systems such as «ARTA» and «DELTA». Keywords: geoinformation technologies, geoinformation systems, armed forces, civil society, intelligence, database, UAV

The effect of performance capacity and decision-making speed on skilful fighting

The effect of performance capacity and decision-making speed on skilful fighting

Цифровая трансформация процессов скоринга лизинговой компании

The paper considers the use of decision support systems in leasing. The impact of the introduction of decision support systems, in particular, scoring systems, on the business processes of companies and their organizational structure is described. The issues of digital transformation of two key business processes «Providing a car for leasing» and «Interaction with customers regarding payment delays» of the scoring system of a company that provides cars for leasing are considered. For this, a process approach and EPC and BPMN 2.0 notations were used. Business processes AS IS and TO BE are described. Based on the AS IS business process, the main problems are formulated, and how they could be solved in the TO BE business process is described. The digital transformation of business processes made it possible to increase the speed and accuracy of managerial decision-making, reduce the risks of non-return of payments, and thereby increase the company's competitiveness in the car leasing market. The analysis of the results of modeling the business processes of the scoring system made it possible to formulate proposals for its further development.