Behavioral Rules Research Articles

MANAGEMENT AND LEADERSHIP'S IMPACT ON PERFORMANCE AT THE LEVEL OF THE ROMANIAN SCHOOL ORGANIZATION

The form of management practiced in most schools in Romania is the bureaucratic model. It is based on hierarchical authority, division of labor (teachers teaching different subjects), rules and regulations for students and subordinates, strict control by superiors/teachers, impersonal relationships between teachers and students, between managers and teachers, limitation of personal initiative in solving problems. In this situation, the educational goals of the school risk being subordinated to centralizing formalities and procedures. A basic condition of leadership, influence means respect, knowledge, cooperation and open communication at the level of the organization, combined efforts through motivation, enthusiasm and transformation in the direction of achieving performance. Ideally, all managers should also be leaders, but this happens, unfortunately, quite rarely. Educational leadership activates a set of behavioral rules and values that, through certain relationships, determine the evolution of attitudes and behaviors, as well as the quality of the results obtained. In order to reduce the negative consequences of this way of organization, specialists recommend combining management with leadership and adapting them to the particular situations of the school, so that creativity and personal initiative can be encouraged, the key factors of progress. The variety of leadership models based on interest in people demonstrates that there is no perfect leadership, but a combination of types of influence that highlights the need for managers to simultaneously manifest themselves as leaders of the people they lead. The article undertaken is intended to pertinent and coherent analysis of management and leadership, of the basic concepts that define them, through the prism of reporting to the need to improve performance at the level of the school organization. The goal of the study is to determine how management and leadership influence organizational performance.

SMDFbs: Specification-Based Misbehavior Detection for False Base Stations

The advancement of cellular communication technology has profoundly transformed human life. People can now watch high-definition videos anytime, anywhere, and aim for the implementation of advanced autonomous driving capabilities. However, the sustainability of such an environment is threatened by false base stations. False base stations execute attacks in the Radio Access Network (RAN) of cellular systems, adversely affecting the network or its users. To address this challenge, we propose a behavior rule specification-based false base station detection system, SMDFbs. We derive behavior rules from the normal operations of base stations and convert these rules into a state machine. Based on this state machine, we detect network anomalies and mitigate threats. We conducted experiments detecting false base stations in a 5G RAN simulator, comparing our system with seven machine learning-based detection techniques. The experimental results showed that our proposed system achieved a detection accuracy of 98% and demonstrated lower overhead compared to other algorithms.

Precise tactile stimulation of worker ants by a robotic manipulator reveals that individual responses are density‐ and context‐dependent

Abstract Ant workers are often specialized in specific tasks, and it is well‐established that the main task an ant performs in the colony can be used to predict its sensitivity and responses to task‐associated stimuli. An often‐overlooked aspect of ants' task specialization is that individuals often switch tasks throughout the day and are not always engaged in functional tasks. Furthermore, the tasks individuals engage in are often correlated with other context‐specific factors, such as worker density, which can independently influence individuals' behaviour. Given this intra‐individual variation in task engagement and its correlation with density, it is currently unknown how these two factors interact to modulate ants' sensitivity and responses to stimuli. To address this question, we built a robotic manipulation system that allowed us to teleoperate a dummy inside ant colonies and to provide simulated antennations to ants when performing different tasks in areas with different worker densities. We coupled this manipulation system with a custom‐built automated tracking system (FORT) that allowed us to track individual identities and locations as well as to record the ants' responses to the dummy stimulation. We found independent effects of task and worker density on ants' responsiveness and alarm towards the dummy. Ants were less likely to respond and be alarmed by the dummy when stimulated in areas with high worker density. Responsiveness but not alarm was further influenced by the task being performed, with ants doing broodcare being the least responsive. Our results suggest that ants' behaviour is density‐dependent and that ants experience a process of habituation to tactile stimulation. Additionally, ants' responsiveness is modulated by the task they are performing at a given time, showing that sensitivity to stimuli is context‐dependent. Our robotic set‐up constitutes a valuable tool to systematically investigate social insect behaviour under unprecedented experimental control to unravel the individual‐level behavioural rules that underpin the organization of social insect colonies. The integrated system presented here opens new research avenues to empirically investigate the effects of more complex stimuli on social insect behaviour and has the potential to significantly further our understanding of decentralized collective systems.

Child Abuse and Neglect is a Serious Problem in Every Society

Abuse is behavior towards a child that is outside the rules of behavior and involves a significant risk of physical or emotional harm. In general, four forms of abuse are distinguished; physical abuse, sexual abuse, emotional abuse and neglect. Abuse and neglect are often associated with physical injuries, stunted growth and development, and mental disabilities. Diagnosis is based on history and physical examination. Procedures include recording and treating all types of injuries and urgent physical and mental conditions, mandatory reporting to appropriate state institutions, and sometimes hospitalization or other procedures such as fostering, to keep the child safe.

Explaining and predicting animal migration under global change

AbstractMany migratory species are declining due to global environmental change. Yet, their complex annual cycles make unravelling the impacts of potential drivers such as climate and land‐use change on migrations a major challenge. Identifying where, when and how threatening processes impact species' migratory journeys and population dynamics is crucial for identifying effective conservation actions. Here, we describe how a new migration modelling framework – Spatially explicit Adaptive Migration Models (SAMMs) – can simulate the optimal behavioural decisions required to migrate across open land‐ or seascapes varying in character over space and time, without requiring predefined behavioural rules. Models of adaptive behaviour have been used widely in theoretical ecology but have great untapped potential in real‐world contexts. Applying adaptive behaviour models across open environments will allow users to explore how migratory species may adapt their routes and usage of intermediate sites in response to environmental change. We outline how SAMMs can be used to model migratory journeys through aerial, terrestrial and aquatic environments, demonstrating their potential using a case study on the common cuckoo (Cuculus canorus) and comparing modelled to observed behaviours. SAMMs offer a tool to identify the key threats faced by migratory species, how they could adapt to future migratory journeys in response to changing environmental conditions and the consequences of not being able to adapt to change.

How social bots can influence public opinion more effectively: Right connection strategy

The advent of online social networks (OSNs) has facilitated the exchange of opinions and information, but the prevalence of social bots that manipulate opinions through human-like behavior demands attention. In response, we present a novel approach that utilizes a virtual corpus to analyze the impact of social bots on public opinion in OSNs. By developing behavior rules for both bots and human users, we aim to identify optimal strategies for social bots to increase their effectiveness. This work reveals that the success of social bots on OSNs depends on their connectivity strategy to corresponding OSN topologies. We found that simply increasing the number of social bots is not always effective, and dense communication links in target OSNs can dilute the impact of information posted by social bots. As a result, we explored other factors, such as the walking speed of bots in OSNs, to provide rules that inspire the development of smarter and more effective social bots. Our research sheds light on the intricate dynamics between social bots and human users in OSNs and provides valuable insights into social bots’ behaviors, informing effective strategies for their design and deployment.

Duty as a value-legal phenomenon

In the course of its development, each society tried to create a certain set of established rules of behavior to regulate social relations, as a result of which various models of mandatory, prohibited or permitted behavior were formed. The general rule for building the specified models was to grant the participants of social relations subjective rights and impose legal obligations on them. So, of course, duty is an extremely important component both in the regulation of social relations and the construction of a proper legal order, as well as in the functioning of legal systems as a whole. However, despite such an important role, the category of duty has rarely been subject to comprehensive research, so we consider it appropriate to analyze the nature of such a concept as «duty», in particular, to focus attention on it through the prism of its value character. In addition, the relevance of the study of this topic is determined by the problem of duty, and in particular, the problem of its implementation and proper execution, which is the subject of constant discussions in society. Also, the basis for a proper study of the category of duty is a certain limitation of its perception as an exclusively legal category, since, in our opinion, duty is a broader concept that can be confidently called a value-legal phenomenon. Thus, the article carried out a study of the chronological development of the category of duty, starting from the birth of the first social duties, ending with the construction of the legal concept of duty in modern society.
 In the course of writing the article, an attempt was made to provide our own interpretation of duty as a value-legal phenomenon, and to explain on the basis of what we consider duty to be a value. Attention is also drawn to the fact that manifestations of legal nihilism appear in modern society, which actually has a negative effect on the affirmation of duty as a value.

Immunity of a lawyer in a civil proceeding

The article carries out a legal analysis of issues related to the characterization of the content of the concept of legal immunity and the features of the procedural immunity of a lawyer, as a representative of a participant in a case in civil proceedings to implement the function of procedural representation in court of the interests of a person (physical, legal) by taking procedural actions on his behalf with the aim of passing a legal and justified court decision in its interests.
 It is emphasized that during the period of reforming the national legal system of Ukraine as a whole and its individual elements, which is constantly in dynamic development and this leads to the emergence of new legal norms and the need to improve the existing rules of behavior in our society in order to achieve civilized and humane approaches in ensuring development in Ukraine, a social state with a stable form of law-making and legal regulation.
 Human and citizen rights are elevated to the rank of the European standard, and therefore require effective protection by national courts.
 It has been established that judicial protection will be effective only when not only the priority of a person's interests is achieved, but also the provision of qualified legal assistance through the institution of advocacy is guaranteed by the state.
 Enshrining in Article 59 of the Constitution the right of everyone to professional legal assistance [1] and the adoption of the Law of Ukraine "On Advocacy and Advocacy” [2] did not remove the relevance of questions about the legal nature and social status of this human rights body, about guarantees for the protection of the lawyer's interests in the implementation him of professional activity in civil justice.
 The article provides the author's definition of the concept of immunity of a lawyer and reveals its procedural content and highlights its features.

Action-rule-based cognitive control enables efficient execution of stimulus-response conflict tasks: a model validation of Simon task performance.

The human brain can flexibly modify behavioral rules to optimize task performance (speed and accuracy) by minimizing cognitive load. To show this flexibility, we propose an action-rule-based cognitive control (ARC) model. The ARC model was based on a stochastic framework consistent with an active inference of the free energy principle, combined with schematic brain network systems regulated by the dorsal anterior cingulate cortex (dACC), to develop several hypotheses for demonstrating the validity of the ARC model. A step-motion Simon task was developed involving congruence or incongruence between important symbolic information (illustration of a foot labeled "L" or "R," where "L" requests left and "R" requests right foot movement) and irrelevant spatial information (whether the illustration is actually of a left or right foot). We made predictions for behavioral and brain responses to testify to the theoretical predictions. Task responses combined with event-related deep-brain activity (ER-DBA) measures demonstrated a key contribution of the dACC in this process and provided evidence for the main prediction that the dACC could reduce the Shannon surprise term in the free energy formula by internally reversing the irrelevant rapid anticipatory postural adaptation. We also found sequential effects with modulated dip depths of ER-DBA waveforms that support the prediction that repeated stimuli with the same congruency can promote remodeling of the internal model through the information gain term while counterbalancing the surprise term. Overall, our results were consistent with experimental predictions, which may support the validity of the ARC model. The sequential effect accompanied by dip modulation of ER-DBA waveforms suggests that cognitive cost is saved while maintaining cognitive performance in accordance with the framework of the ARC based on 1-bit congruency-dependent selective control.

Physics-based model and data dual-driven approaches for predictive evacuation

Physics-based models or data-driven methodologies can help acquire the evacuation process for optimizing evacuation and rescue plans. However, neither of these methodologies can predict the process rapidly and precisely. Physics-based models rely on physical rules of human behavior but are computationally expensive. Data-driven approaches need a significant amount of diverse data but lack an understanding of underlying human behavior in spinning emergencies. This short communication aims to initiate systematic discussions about a physics-based model and data dual-driven approach, combining both approaches’ strengths. This combined approach puts forward iterative updating loops, using physics-based models to identify evacuation stages, capture operational mechanisms, and act as rational boundaries while using data-driven methods to process each stage’s results rapidly. The authors synthesize a roadmap highlighting bottlenecks and potential research directions for achieving such a combined approach, calling for attention and collaboration in predictive evacuation for disaster response.

Evaluating the performance of propagation models of flow-like landslides at regional scale

Propagation models of flow-like landslides can be calibrated by comparing on-site evidence of past occurrences with the propagation paths and the deposition zones resulting from numerical simulations of the phenomena. Most typically, the performance of these models is evaluated considering the events independently from one another and, heuristically, i.e., subjectively assessing the fit between numerical results and available on-site data. At regional scale, however, storms often trigger, within a given area, multiple landslides of the flow type that occur more or less simultaneously. At this scale, a procedure that objectively quantifies the success, or the errors, of the numerical simulations of multiple landslides is lacking. In this study, such a quantitative calibration procedure is proposed, and assessed, considering the debris flows that occurred in Sarno in 1998 (Italy). The numerical model used is called Debris Flow Predictor (DFP), which is able to simulate the propagation paths and the accumulation depths of multiple debris flows, at regional scale, from a series of predefined triggering areas. The model employs a cellular automata method with a probabilistic behavioral rule, which is a function of the adopted digital elevation model and a series of parameters related to the erosional, the depositional, and the spreading capacity of the propagating soil mass. The numerical simulations were evaluated over the study area considering the entire set of debris flow events, as well as the individual debris flows, following a preliminary discretization of both the mapped footprints and the remaining portion of the territory. The relative and total operator characteristic curves, in addition to 6 indicators derived from a confusion matrix, have been used to quantify the performance of the simulations. The results show that the quantitative evaluation of the numerical results is essential to properly calibrate the adopted model, i.e., to discriminate among different simulations arising from different sets of model parameters.

4 Hands-On I: Building an Agent-Based Model in Anylogic

Abstract Livestock farming systems (LFS) have detrimental effects on the environment, associated mainly with feed production, enteric methane and emissions from manure. LFS are complex because they are structured by multiple interactions between biological and human-controlled processes, at various organizational levels. Their behavior and the extent to which feeding strategies can mitigate this environmental burden is not always easily predictable. Dynamic mechanistic models of LFS can simulate the effects of feeding strategies on both animal performance and the associated excretion of nutrients. These models are useful tools to produce the life cycle inventories needed in the second step of a life cycle assessment. In the pig-fattening unit, the effects of multiphase group feeding depend largely on the variability of growth potential among pigs and the farmer has decisions that can target either the group of pigs or each individual (e.g., when choosing pigs to deliver to slaughterhouse). Therefore, simulating the growth trajectory of each individual pig and events like deliveries to slaughterhouse makes it possible to estimate the response of the pig population rather than the average pig to feeding strategies. Individual-based models (IBM) are particularly adequate because they make it possible to simulate each individual and to build the response of the population from the aggregation of individuals. Agent-based models are IBM that rely on self-governing agents made of properties, behavioral rules and resources that allow each agent to make decisions upon the occurrence of an event, which can be triggered randomly or not. This hands-on will focus on a specific example dedicated to the simulation of the response (growth, nitrogen excretion and subsequent gaseous emissions from manure) of a population of fattening pigs to a multiphase feeding strategy. In a first step, we will develop a simplified individual-based model of a pig-fattening pen including pigs and the farmer as agents. In a second step, we will improve this model by introducing interactions between these agents. For both steps, we will work with python language using pre-developed jupyter notebooks.

Teoretyko-prykladni aspekty suchasnoho dilovoho etyketu turystychnykh orhanizatsii

The initial categories of business etiquette of travel companies such as «ethics», «morality», «morality», and «etiquette» are clarified. The content of the concept of ethics, which is interpreted as a system of knowledge about morality, good and evil, and their influence on human behaviour in relation to the world around us, is disclosed. The concept of morality is characterized, which is a system of ideas, norms, views, and rules of human behaviour based on the principles of good and evil. The classification of etiquette is considered. The author describes the most common types of etiquette, including court, military, diplomatic, secular, business, linguistic, and religious. Based on scientific works, the author analyses the definitions of the concept of «business etiquette». In particular, the following main interpretations of it are highlighted: the order of behaviour, rules of conduct, norms of interaction, and communication. The author's own definition of business etiquette of a tourism organization is formed. Business etiquette of a tourism organization is a clearly defined norm of behaviour of staff with clients, and business partners, as well as rules of interaction between employees of the company: managers and subordinates and equal specialists. Important spheres and forms of business etiquette of travel agencies are highlighted. These include the etiquette of national symbols; gifts in business relations; official and protocol forms of greeting and introduction; business cards; business attire; etiquette in advertising, correspondence, customer consultation; business subordination, etc. The emphasis is placed on business etiquette in tourism organizations. The subsystems of business etiquette are characterized: speech (verbal) etiquette, kinesics, etiquette proxemics, and etiquette attributes. The following functions of business etiquette of tourism organizations are allocated: regulatory, recognition, identification, communicative, aesthetic, and ethical. The principles of business etiquette, and rules for the success of tourism organizations are formed. Ways to improve the business etiquette of tourism organizations through the introduction of codes of ethics, «ethics cards», and ethical expertise are proposed. The emphasis is placed on the need to take into account the norms of the Global Code of Ethics for Tourism when developing corporate codes of ethics.

Dynamics, statistics, and task allocation of foraging ants.

Ant foraging is one of the most fascinating examples of cooperative behavior observed in nature. It is well studied from an entomology viewpoint, but there is currently a lack of mathematical synthesis of this phenomenon. We address this by constructing an ant foraging model that incorporates simple behavioral rules within three task groups of the ant colony during foraging (foragers, transporters, and followers), pheromone trails, and memory effects. The motion of an ant is modeled as a discrete correlated random walk, with a characteristic zigzag path that is congruent with experimental data. We simulate the foraging cycle, which consists of ants searching for food, transporting food, and depositing chemical trails to recruit and orient more ants (en masse) to the food source. This allows us to gain insights into the basic mechanism of the cooperative interactions between ants and the dynamical division of labor within an ant colony during foraging to achieve optimal efficiency. We observe a disorder-order phase transition from the start to the end of a foraging process, signaling collective motion at the population level. Finally, we present a set of time delay ODEs that corroborates with numerical simulations.

PSYCHOLOGIC-PEDAGOGICAL PRINCIPLES OF STUDYING GERMAN SOCIAL DISCOURSE (BASED ON VOCABULARY MATERIAL FROM HANDBUCH KNIGGE BY BIRGIT ALTHAUS)

On the basis of modern approaches, the article substantiates the problems of learning the vocabulary of German social discourse in classes at higher education institutions. The definition of discourse has been clarified according to various theories and approaches. The main aspects of studying the vocabulary of social discourse are highlighted. Based on the systematization and generalization of the theoretical assets of domestic and foreign researchers, as well as through comparative analysis, the main methods of learning social vocabulary were established: 1) use of factual material with a sufficient number of texts on social topics; 2) study of stable phrases and clichés; 3) the possibility of forming language competence with a set of exercises; 4) creation of conditions for independent work of students; 5) use of dictionaries and reference books. The method of working with the book Handbuch Knigge by Birgit Althaus, which is devoted to the rules of behavior and etiquette in various situations of everyday communication, is described. Based on the text, the choice of vocabulary of social discourse for students is substantiated (compound words, established clichés, non-equivalent vocabulary, idiomatic expressions, etc.). It was determined that vocabulary of social discourse has recently become one of the most studied spheres in modern linguistics. A comprehensive approach to the problem of learning social vocabulary stimulates the formation of language competence, which in turn leads to the formation of a holistic view of the culture and language of the German people. According to this, the research of social vocabulary for students with the aim of its further use in some day-to-day situations is promising.
 Keywords: social discourse; compound noun; stable expression; correct use; background knowledge; language competence; speech situation; mentality.

CULTURE OF SAFE BEHAVIOR IN PRESCHOOL CHILDREN AS A PEDAGOGICAL PROBLEM

The need to introduce children to generally accepted norms and rules of relationships with peers and adults (in society), to develop skills of reasonable behavior in everyday life and nature, is noted in the Federal Educational Program of PE, which has come into force in September 2023. Preschool childhood is considered one of the most important periods in the formation of a fully developed personality. It is at this level of formation of the future citizen that the foundations of intellectual, moral, physical development are laid, and familiarization with universal human values and culture occurs. The most important acquisition of preschool age is the ability to adapt to a rapidly changing environment and appropriate behavior that ensures a safe existence in this environment. The combination of the regulatory framework (FSES DO and FOP DO), which regulates the formation of children’s ideas about life safety and rules of behavior and the age characteristics of preschoolers, allowing them to master these ideas, ensures the need and opportunity to cultivate a culture of safe behavior in children of this age. Preschool teachers must create conditions for nurturing in children an interest in household appliances and household items, and the rules for their use; understanding and observing the rules of safe behavior at home, on the street, in nature. Based on the foregoing, it can be argued that fostering a culture of safe behavior is considered a priority task for society, the state, in general, and for the preschool education system, in particular. The article makes an attempt to highlight the theoretical issues of such an important pedagogical problem as fostering a culture of safe behavior in preschool children.

Online Delinquent Behaviors of Adolescents: Parents as Potential "Influencers"?

In this study we examined whether aspects of parental monitoring of adolescents' online behavior (rules regarding time spent on the internet, rules regarding content of internet use, frequency of communication, and quality of communication about internet use) are related to different kinds of online delinquent behaviors (sexting, spreading viruses, DDoS attacking, hacking, and online threatening) and whether the level of adolescents' problematic (addictive) internet use mediates these relations. In regular Dutch high schools 1,009 adolescents filled out an online questionnaire (with adjusted versions of the ISPP, PIUQ, and the Dutch Youth Crime Monitor). Descriptive statistics showed that, in general, parents do not seem to monitor adolescents' online behavior to a great extent. Furthermore, results of logistic regression analyses and mediation tests showed that fewer rules about online time, more rules about online content, and a good quality of parent-adolescent communication about online behavior are all associated with lower problematic internet use, which in turn is associated with lower odds of several online delinquent behaviors (mediation). Moreover, parental handling of rules about online content is also directly associated with lower odds of spreading viruses, hacking, and online threat.

Predicting and extracting thermal behavior rules of hydronic thermal barrier with interpretable ensemble learning in the heating season

Hydronic thermal barrier (HTB) creates dynamic thermal resistance in buildings, enabling buildings to adapt to outdoor weather fluctuations and regulate indoor environments. However, the lack of a comprehensive model to predict thermal behavior and explain the underlying rules is a significant limitation to its real-life situations. Additionally, the high computational cost of traditional numerical modelling also poses a challenge. To address these issues, this study proposed a framework for predicting HTB thermal behavior and extracting rules. A benchmark model was first introduced that incorporates coupled physical fields and accounts for multi-source uncertainties, reducing rule failures resulting from system changes. A data-driven prediction model was then developed, using machine learning and the finite element method, to clarify thermal behavior during the heating season in cold and severely cold regions of China. To enhance model generalization and applicability, three typical feature selection methods were employed. A comprehensive trial involving five ensemble learning models was conducted. Recursive Feature Elimination (RFE) selected the most representative features for prediction models. For heat storage efficiency, RFE combined with Light Gradient Boosting Machine achieved the best prediction performance with an R2 of 0.877, while the optimal prediction model for exergy efficiency was developed by combining RFE with Categorical Boosting with an R2 of 0.782. Finally, the profound HTB thermal behavior rules were extracted by the Shapley Additive exPlanation framework from both global and individual perspectives. Taken together, these findings can serve as a reference for the practical design and operation management of HTB.

Russian, American and French police officers professional vocabulary features: speech culture ethic

The article deals with the professional vocabulary of American, French and Russian police officers from the ethical side of professional communication, i.e. socially oriented and nationally determined rules of speech behavior, including set expressions accepted in a professional society and used in situations of “polite” contact with an interlocutor. Etiquette greeting formulas, communication with partners, boss and colleagues from an informal point of view are compared. Similar features in the use of jargon, slang and professionalism in the speech of police officers in French, English and Russian are analyzed. Examples of dialogues, statements are taken from dictionaries, police speech researches and studies, live speech, as well as modern films that currently show the life and work of the police in the most realistic and close to life. The specify of police work contributes to rudeness, obscene vocabulary, sarcasm and self-irony, a large amount of professional jargon in speech, which makes the speech of a policeman bright, emotionally and expressively colored.

Implementation of social responsibility principles into the strategy of hospitality companies

The article researches the impact of sustainable development principles on the service sector, analyses the features and benefits of tourism sector development in sustainable development, and reveals the specifics of corporate ethics as an integral part of business ethics. Tourism is considered the most influential industry in the world, covering a wide range of economic activities, and therefore causes severe damage to natural systems and generates social tension. This has led to numerous attempts to adapt the main provisions and principles of sustainable development to the context of tourism. Criteria have been identified that aim to establish a form of corporate responsibility. Quality tools have been identified, aimed not only at compliance with the rules and principles but also at introducing charters, codes, and other rules of proper behaviors contained in these declarations. The necessity of introducing effective criteria, which can be defined as a tool designed to evaluate and compare potential actions from a certain point of view and which can be identified, measured, accepted, and accepted by many people, is substantiated. A comparison is made to understand the performance and efforts made by the tourism enterprise in the quality field. The specifics of building a tourism product primarily based on environmental, cultural, and social quality are determined. The algorithm for creating a sustainable tourism product as a process that requires time and investment, which are much greater than traditional activities, is investigated. The goals that should be considered, such as customer satisfaction and purchase decisions, are identified because "every choice is a rejection", and in this case, it is about finding ways to encourage demand for tourism products to those that respect the principles of sustainable development and reject those that do not meet specific standards. Keywords: tourism industry, social responsibility, quality, sustainable development, business processes, quality assessment, tourism product.