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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Conceptual Model of Educational Project Management Related to Maritime Transport in Higher Education Institutions</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Olena Kyryllova</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Varvara Piterska</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Oleksandr Sagaydak</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Oleh Lohinov</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Liliia</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Odesa National Maritime University</institution>
          ,
          <addr-line>34, Mechnikov str., Odesa, 65026</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The subject of the study is the models and mechanisms of project-oriented management of the educational activities of universities. The purpose of the article is to develop a conceptual model for managing the educational activities of universities based on the use of a project management methodology, information technology focused on assessing the demand for educational products of university projects related to maritime transport. The following tasks were set in the study: to outline the market of educational services, to determine their specificity in the implementation of educational projects by universities, to analyze scientific approaches and define the concept of "educational product", to form a conceptual model for the implementation of educational projects at universities, to assess the demand for educational services based on the use of information technology provided by project-oriented institutions of higher education. The following results were obtained: the specifics of educational projects were analyzed, the concepts of an educational service and an educational product were identified; a conceptual model for the implementation of educational projects at universities was formed, and a two-level conceptual model based on the use of information technology for assessing the demand for educational products of university projects was proposed, which can be used in the implementation of projects by enterprises in various fields of activity: the first level assesses demand in general, the second level of demand assessment takes into account the specifics specific project product. transport, educational product management, information technology, higher education institution, maritime ORCID: 0000-0002-3414-7364 (Olena Kyryllova); 0000-0001-5849-9033 (Varvara Piterska); 0000-0002-8294-8828 (Oleksandr Sagaydak); 0000-0002-4540-731X (Oleh Lohinov); 0000-0003-2263-9457 (Liliia Lohinova)</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Project</p>
    </sec>
    <sec id="sec-2">
      <title>1. Introduction</title>
      <p>Education is an industry that is undergoing significant changes in Ukraine nowadays, the main of
which is commercialization. For historical reasons, domestic education was almost completely funded
from the budget for a long time, and today only a small proportion of private educational institutions
(most of which are preschool) are an alternative to traditional public education [1].</p>
      <p>In addition, due to the economic, social and demographic conditions that existed until recently, the
demand for educational services of various levels and directions was steadily growing or stable. Thus,
higher education was seen as a goal, the achievement of which was mandatory for various segments
of the population, and even those who did not intend to work in the acquired specialties considered it
necessary to obtain a higher education.</p>
      <p>The current situation is such that the long-formed changes in the needs of consumers of
educational services of universities have taken concrete forms [2]. The reason for this was the
EMAIL:
(Oleksandr Sagaydak);</p>
      <p>2021 Copyright for this paper by its authors.
changed economic situation. The introduction of independent testing also affected the structure of
demand for educational services [3]. Many schoolchildren refuse to graduate from high school and
choose secondary specialized education (college, specialized school) in order to acquire a profession
as soon as and the possibility of qualified work.</p>
      <p>Therefore, obtaining a higher education for a significant category of the population of Ukraine
ceases to be a primary goal.</p>
      <p>Moreover, future applicants and their parents also treat the choice of a specialty more carefully
than it happened before. An attractive name of a specialty or faculty is no longer a priority - the main
questions, the answers to which determine the choice of a specialty and a university, are the
following: who can a graduate work, what will he be able to do, in what areas and in what enterprises
will he be able to find a job. Thus, when choosing a university, the priority is employment
opportunities and career prospects with the acquired specialty and acquired knowledge, skills and
abilities.</p>
    </sec>
    <sec id="sec-3">
      <title>2. Analysis of Literature Data and Resolving the Problem</title>
      <p>The main organizational substructure of a project-oriented university that implements a specific
project is the project team, which operates within the framework of the charter, mission and strategy
of the university, general financial management procedures, but has a high degree of independence in
choosing methods for solving the tasks [4-6].</p>
      <p>At the same time, a matrix one is added to the traditional functional structure of the university, and
the traditional educational activities of the university are supplemented by projects related to the
implementation of risky, one-time, "small-scale" orders of the market of educational and scientific
services [7, 8].</p>
      <p>Modern works devoted to the problem of a project-oriented university are aimed at a wider
coverage of the activities of universities by the methodology of project management.</p>
      <p>In addition to the project-oriented approach within the framework of the commercialization of
scientific activity, in the practice of individual universities, the concept of project management is
applied in, in fact, the process of teaching students.</p>
      <p>So, in [9] a methodical approach to project-oriented learning in a technical university is revealed,
while a project-oriented approach is understood as an approach based on independent project
activities of students focused on resolving problem situations. The author believes that a
projectoriented approach to learning is associated with the consistent implementation of three stages: the first
stage involves the development of mini-projects in core disciplines, the second stage is aimed at the
implementation of interdisciplinary projects related to the future profession, the third stage is the
implementation of projects in a team, which allows students to acquire skills in task distribution,
communication, etc.</p>
      <p>The use of this approach ensures the creation of conditions for advanced learning of students,
maximizing the creative orientation of the entire learning process and the greatest possible
independence of students. Thus, the concept of project management permeates the learning process
itself.</p>
      <p>Since a modern university is associated with significant volumes of information flows, the issues
of informatization of universities become a separate problem for research. The project approach to the
informatization of universities is presented in [10-12].</p>
      <p>In [13], methods and tools for implementing the information processing procedures of a
projectoriented university were developed.</p>
      <p>At the same time, a university project is understood as a unique set of coordinated actions to
transform an information resource into an information product of the university management system.
Thus, the project-oriented approach is implemented for the university management system, the main
task of which, indeed, is the processing of information in order to obtain a "useful result".</p>
      <p>In [14], the concept of a design and technological system for managing a university is proposed,
aimed at processing an information resource into an information product within the framework of the
business processes of a university.</p>
      <p>A model of strategic management of a university to achieve development goals and a method for
selecting projects for a portfolio of a university were developed in [15-17].</p>
      <p>Works [18-20] are devoted to the problem of introducing a project approach into the activities of
universities, as well as tracking the levels of achievement of the goals of projects in education.
Features of the life cycle of university development projects are presented in [21-23].</p>
    </sec>
    <sec id="sec-4">
      <title>3. The Purpose and Objectives of the Research</title>
      <p>The purpose of the article is to develop a conceptual model for managing the educational activities
of universities based on the use of a project management methodology, information technology
focused on assessing the demand for educational products of university projects related to maritime
transport.</p>
      <p>The following tasks were set in the study: to outline the market of educational services, to
determine their specificity in the implementation of educational projects by universities, to analyze
scientific approaches and define the concept of "educational product", to form a conceptual model for
the implementation of educational projects at universities, to assess the demand for educational
services based on the use of information technology provided by project-oriented institutions of
higher education.</p>
    </sec>
    <sec id="sec-5">
      <title>4. Materials and Methods of the Research</title>
      <p>The implementation of educational services of universities is carried out in the relevant market.
Before deciding what the educational services market is and what its specific sare, weidentify the
essence and specifics of the educational service.</p>
      <p>In the specialized literature, you can find a significant number of definitions of the concept of
"educational service" and, as a rule, they do not contradict each other. Educational services are
created in the process of scientific and pedagogical work, which, inturn, is a kind of scientific work
[24].</p>
      <p>The result of scientific and pedagogical work can be called an educational product. An educational
product is a part of an intellectual product adapted to the corresponding segment of educational
services. Some authors consider an educational service as a process of transferring certain information
for assimilation, in order to obtain a certain result. Inturn, the consumer value of educational services
liesin the fact that they create human capital, which manifests it selfin a more skilled work force.</p>
      <p>In [25], an educational service is defined as in tangible actions aimed at the consciousness of an
individual, ensuring the realization of a person's need for obtaining a certain type of knowledge,
skills, andacquiring a professionor qualification. Thus, the definition adopted in the material sphere of
production, according to which raw materials (material) under the influence of technology turns into a
certain product, canal so be extended to the sphere of educational services (Figure 1).</p>
      <p>In accordance with this approach, there are two concepts of "educational product" and "product of
education". An educational product is an educational program that includes a certain content,
organization of the educational process, a system for managing this process and a system for its
methodological, material and personnel support, educational and methodological complexes,
information technologies, etc. (i.e. "technologies of education"). Also, in the author`s opinion,
educational products include: university inventions, patents, programs and research results based on
the use of information technology. The product of education is an individual with characteristic
features and certain competencies. Thus, the process of applying educational technologies including
information technology to an individual in order to acquire certain competencies is an educational
service. Educational services can be classified as follows: by duration of provision: short-term - from
one day to a month; medium-term - from a month to a year; long-term with different levels
incomplete secondary, secondary, specialized secondary, higher, advanced training courses,
postgraduate studies, doctoral studies; on ascertaining the achievement by the student of the
educational levels established by the state (educational qualifications): with the receipt of documents
confirming the achievement of the educational level; without receiving; by the method of
reimbursement of funds for education: educational services provided free of charge (at the expense of
budgetary funds); paid; with partial reimbursement of costs [26-28].</p>
      <p>As you know, any service has a certain specificity. So, for example, the common properties of all
types of services are: intangibility, inseparability from the source, variability of quality, perishability,
etc. The general properties of services in the field of education are as follows [29-31].</p>
      <p>Intangibility: the consumer of an educational service cannot know the result of his training in
advance, but can only assume the quality of the service based on his own past experience, guided by
the opinions of other consumers, with the help of an advertising message, information technologies;</p>
      <p>Inseparability of educational services from the source: an educational service does not exist
separately from the university and its faculty. The quality of the educational service changes under the
influence of changes in the qualifications of personnel, the material and technical base, information
technologies and other elements integral to the educational process;</p>
      <p>Quality volatility: any replacement of a teacher can change the outcome of the educational service.
The same teacher can conduct classes in different ways, depending on his mental and physical
condition. The perishability of educational services is interpreted as follows: a person, consuming
educational services, accumulates knowledge, skills, but this is the result of the work of the human
brain and intellect, and not these actions themselves [32]. For example, by consuming services in the
field of vocational education, a person can accumulate certain knowledge, skills, abilities, develop
their intellectual capabilities. But in this case, it is not the services themselves that accumulate, not the
actions to form vocational education, but the results of these actions.</p>
      <p>In addition to the above properties of services, there is also an additional specificity inherent only
in educational services. Thus, the consumption and provision of services are two parallel processes,
which is common to all types of services.</p>
      <p>However, in some areas, the results of the provision and consumption of services are observed
immediately after the end of the processes (transport, hairdressing, tailoring services), the result of the
provision of educational services can appear only after some time (for example, a young specialist
comes to production, where it becomes possible to evaluate the level and quality of educational
services provided to him).</p>
      <p>At the same time, the unsatisfactory quality of the education received can be caused not only by
the low quality of the process of providing the service, but also by poor-quality consumption of the
service (the student did not make efforts to acquire knowledge, develop skills or did not use
information technology in education).</p>
      <p>Thus, unlike many other service industries, in education the final outcome depends both on the
party that provides the services and the party that consumes those services; and the result itself
appears after a certain time after the provision of the service (Figure 2).</p>
      <p>Also, the specificity of education services is the impossibility of their direct monetary
measurement. The price mechanism is often unable to reflect all the costs of producing educational
services. If in the material sphere services are relatively easy to quantify (in pieces or kilograms, for
example) per unit of output, then in relation to educational services this is difficult to implement. The
useful result of such a service can manifest itself only after a long time, and it can practically be
measured only with the help of indirect indicators. The main activities carried out by modern
Ukrainian higher education institutions, taking into account the requirements of the external
environment, information technology, are presented in Figure 3.</p>
      <p>The project activity of domestic universities within the framework of the main - educational –
activity based on the use of information technology is characterized in Figure 4.</p>
      <p>Thus, it can be argued that the transformations and reforms in higher education are reflected in the
practical use by universities of specific approaches that have not been adopted before, which also
served as the driving force behind the processes of forming the theoretical basis of the organization
and ensuring the management processes of project-oriented universities.</p>
      <p>The analysis of statistical information made it possible to establish the fact that a significant
change over the past few years has been observed in the dynamics of the share of the population of
Ukraine enrolled in domestic universities.</p>
      <p>This confirms the fact that not only natural demographic causes affect the number of university
students.</p>
      <p>The following statement was put forward as a hypothesis: at the state level, the demand for
educational services of universities is generally determined by the main macroeconomic parameters.
The following can be considered as the main macroeconomic parameters:</p>
      <p>An example of bulleted list is as following.
• X1 – GDP at current prices, billion dollars
• X2 – GDP per capita, USD
• X3 - Export of Ukraine, billion dollars
• X4 – Import of Ukraine, billion dollars
• X5 – Population of Ukraine, thousand people
The predicted parameter is the number of university students (Y).</p>
      <p>It should be noted that the demand for educational services of universities and the number of
students enrolled in universities are not identical concepts, since the demand may be higher than the
capabilities of universities. In addition, some school graduates may not be able to enter universities
based on the results of external independent testing (EIT).</p>
      <p>Also, foreign citizens enter Ukrainian universities. However, the last two categories are not very
significant at the national level, so they can be neglected at this stage of the study (and taken into
account in the process of adjusting the obtained forecasts).</p>
      <p>In conditions when the capacity of universities in terms of the number of students (that is, supply)
exceeds the real demand, it can be assumed that the demand for educational services of universities is
fully satisfied, and, therefore, the number of students enrolled in universities can be considered almost
equal to the volume of the considered demand.</p>
      <p>The results of the correlation analysis are presented in Table 1.
but the main conclusion that the conducted studies allow us to draw is that not only demographic
factors cause a decrease or increase in demand for educational services of universities.</p>
      <p>Economic factors also largely determine the choice of the population in favor of higher education.</p>
      <p>To predict the demand for educational services of universities at the national level, it is proposed
to use regression models of the form:</p>
      <p>=  1 ⋅  2 ⋅  ′( 1,  2, . . . ,   ),
(EIT);
opinion.
where  – demand for educational services of universities;
influence of factors not taken into account in  1,  2, . . . ,   );
 1 – coefficient taking into account the change in interest in higher education (under the
 2 – coefficient taking into account the influence of the results of external independent testing
can complement the factors considered above).</p>
      <p>′ – assessment of demand based on demographic and economic factors;
 1,  2, . . . ,   – a complex of demographic and economic factors (population, GDP and others that
Correction factors  1 and  2 can be established either statistically or on the basis of expert
Possible terminological inconsistencies should be noted here: the concept of “entrants to
universities” and “entrants to universities”.
(1)
(2)
“Entrants” is a term that is usually applied to the category of citizens who are going to receive
higher education. "Entrants" – to the category that, according to the results of the selection, is enrolled
in the composition of the students of the university.</p>
      <p>But, today, “applicants” have the opportunity to enter several universities and be selected in
several universities, which naturally increases the number of applicants for each university. But
within the framework of this study, we will traditionally understand the term “entrants” as the number
of citizens who are willing to receive (and have the opportunity) higher education and, as was
previously accepted, who form the demand for university services.</p>
      <p>So, we have considered a methodological approach to forecasting the demand for educational
services of universities in general at the country level based on the use of information technology,
which can be applied in cases where there is forecast information on the main macroeconomic
parameters.</p>
      <p>The second level of forecasting is an assessment of the demand for educational services of a
particular university (a specific educational product) based on the use of information technology. As
a tool, it is proposed to use the following formula, which is based on the classical approach to
determining market capacity in marketing research:
 =  ⋅  1 ⋅  2 ⋅  3 ⋅  4 ⋅  5 ⋅  6
(3)
where  – the total predicted volume of applicants to domestic universities;</p>
      <p>1 – the share of school graduates who prefer universities of a certain orientation (classical
universities, humanitarian, technical, etc.);
 2–the share of school graduates who are going to receive higher education in Ukraine;
 3 –the share of school graduates who do not plan to receive education outside the region (the
coefficient takes into account the proportion of those who prefer to receive education, for example, in
metropolitan universities);</p>
      <p>4 – the share of school graduates who, based on the experience of past admissions campaigns,
prefer a particular university within the framework of specialties of a certain orientation;
 5 – coefficient taking into account a positive ( 5 ≥ 1) change in the competitive status of a
university (thanks, for example, to a planned large-scale PR campaign), or a negative ( 5 ≤ 1) change
in the university's reputation and image;</p>
      <p>6 – coefficient taking into account the share of applicants - graduates of schools of previous
years.</p>
      <p>Note that the values of the coefficients  1,  2,  3 are established as a result of sociological surveys;
 4,  5,  6 are determined by the experience of a particular university or by an expert.</p>
      <p>This list of coefficients can be supplemented with coefficients that take into account the
competitiveness and demand for specific educational products of the university, the specifics and
attractiveness of the region.</p>
      <p>Thus, as a result, as a tool for assessing the demand for a specific educational product of a
particular university, it is proposed to use the following formula:
 =  ( ) ⋅ ∏ =1  
(4)
where I ≥ 0 – a set of indices that allow, by constructing concentric areas, to determine the possible
volume of demand for the product of a particular project, cutting off (or capturing) that part of the
global demand  ( ) at the regional level that is available for development due to a variety of factors
n that assess the demand, usefulness and competitiveness of the educational product.</p>
      <p>Summing up the above, the concept of the proposed methodological approach to forecasting the
demand for educational services of universities in general for the country and a particular university
(educational product) in particular based on the use of information technology is shown in Figure 5.</p>
      <p>Note that this two-level approach to demand assessment can be extended to the activities of
enterprises in various fields of activity: the first level assesses demand in general, the second level of
demand assessment takes into account the specifics of a particular product.</p>
    </sec>
    <sec id="sec-6">
      <title>5. Conclusions</title>
      <p>The paper found that the theoretical basis of the project-oriented approach to the activities of
universities is at the initial stage of its formation. There is no concept, theoretical base and appropriate
tools for organizing a project-oriented university, taking into account the systematic coverage of
various types of its activities. To date, the methodological foundations and methodological tools for
the implementation of university development strategies through projects are presented at a fairly high
level. It was found that the project-oriented approach to the educational activities of universities is
considered fragmentarily, while the conceptual approaches to building a project-oriented management
of the educational activities of universities are not sufficiently developed.</p>
      <p>Within the framework of the study, the specifics of educational projects were analyzed, the
concepts of an educational service and an educational product were identified.</p>
      <p>The study formed a conceptual model for the implementation of educational projects related to
maritime transport at universities, and also proposed a conceptual model for assessing the demand for
educational products of university projects based on the use of information technology. This two-level
approach to demand assessment based on the use of information technology can be extended to the
implementation of projects of various enterprises: the first level assesses demand in general, the
second level of demand assessment takes into account the specifics of a particular product.</p>
      <p>The implementation of the proposed сonceptual model for assessing the demand for educational
services in project-oriented institutions of higher education is supposed to be carried out on the basis
of the use of an information system, which will greatly simplify the procedure for achieving the goal.
The use of the information system in the implementation of the proposed сonceptual model in
projectoriented institutions of higher education will make it possible to take into account a larger number of
indicators and more accurately assess and predict the demand for educational products of
projectoriented universities.
6. References
[1] S. Bushuyev, D. Bushuiev, V. Bushuieva, Modelling of emotional infection to the information
system management project success, in: Advances in Intelligent Systems and Computing, 2021,
1265 AISC, pp. 341–352.
[2] A. Bondar, S. Bushuyev, V. Bushuieva, S. Onyshchenko, Complementary strategic model for
managing entropy of the organization, in: CEUR Workshop Proceedings, 2021, 2851, pp. 293–
302.
[3] S. Bushuyev, D. Bushuiev, V. Bushuieva, Interaction Multilayer model of Emotional Infection
with the Earn Value Method in the Project Management Process, in: 2020 IEEE 15th
International Conference on Computer Sciences and Information Technologies (CSIT), 2020, pp.
146-150, doi: 10.1109/CSIT49958.2020.9321949.
[4] A. Bomba, N. Kunanets, M. Nazaruk, V. Pasichnyk, N. Veretennikova, Model of the Data
Analysis Process to Determine the Person’s Professional Inclinations and Abilities, in: Advances
in Intelligent Systems and Computing, 2020, pp. 482-492.
[5] R. Holoshchuk, V. Pasichnyk, N. Kunanets, N. Veretennikova, Information modeling of dual
education in the field of IT, in: Advances in Intelligent Systems and Computing, 2020, pp.
637646.
[6] O. Duda, N. Kunanets, O. Matsiuk, V. Pasichnyk, N. Veretennikova, A. Fedonuyk, V. Yunchyk,
Selection of Effective Methods of Big Data Analytical Processing in Information Systems of
Smart Cities, in: Proceedings of the 2nd International Workshop on Modern Machine Learning
Technologies and Data Science (MoMLeT+DS 2020), Volume I: Main Conference, Vol. 2631,
pp. 68-78.
[7] A. Sagaydak, V. Torskiy, Ship-Cargo Interface: Concept of Optimization, Using Risk
Assessment Methods and Network Data Exchanging Technologies. TransNav, the International
Journal on Marine Navigation and Safety of Sea Transportation 15(2) (2021) 359-364.
doi:10.12716/1001.15.02.12.
[8] V. Tomashevskiy, I. Pohrebniuk, N. Kunanets, V. Pasichnyk, N. Veretennikova, Construction of
individual learning scenarios, in: Advances in Intelligent Systems and Computing (AISC), 2020,
Vol. 1247, pp. 609–620.
[9] S. Bushuyev, V. Bushuieva, S. Onyshchenko, N. Pavlova, Agile-Transformation Organizational
Development based on Portfolio Management, in: 2021 11th IEEE International Conference on
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications
(IDAACS), 2021, pp. 444-451, doi: 10.1109/IDAACS53288.2021.9660972.
[10] S. Bushuyev, A. Puziichuk, Development organizational structure for value-oriented
reengineering project of construction enterprises, in: 2021 IEEE 16th International Conference
on Computer Sciences and Information Technologies (CSIT), 2021, pp. 367-370, doi:
10.1109/CSIT52700.2021.9648758.
[11] A. Rzheuskyi, A. Shakhov, V. Piterska, O. Sherstiuk, O. Rossomakha, Management of the
technical system operation based on forecasting its “aging”, in: CEUR Workshop Proceedings
2565, 2020, pp. 130–141.
[12] O. Sagaydak, Concept of optimization of ship-port-cargo interface, taking into account existing
risk assessment methods and use of electronic technologies, Transport Development 2(9) (2021)
64-77. https://doi.org/10.33082/td.2021.2-9.05.
[13] S. Bushuyev, S. Onyshchenko, N. Bushuyeva, A. Bondar, Modelling projects portfolio structure
dynamics of the organization development with a resistance of information entropy, in: 2021
IEEE 16th International Conference on Computer Sciences and Information Technologies
(CSIT), 2021, pp. 293-298, doi: 10.1109/CSIT52700.2021.9648713.
[14] C. Wolff, S. Bushuyev, S. Recker, O. Verenych, G. Tabunshchyk, A. Badasian, International
Educational Project: ELearning Results Assessment (Case Study), in: 2021 IEEE 16th
International Conference on Computer Sciences and Information Technologies (CSIT), 2021, pp.
445-448, doi: 10.1109/CSIT52700.2021.9648734.
[15] S. Bushuyev, N. Bushuyeva, D. Bushuiev, I. Babayev, J. Babayev, Modeling Leadership for
developing information technologies based on Agile methodology, in: 2021 IEEE International
Conference on Smart Information Systems and Technologies (SIST), 2021, pp. 1-5, doi:
10.1109/SIST50301.2021.9465910.
[16] E. Kirillova, Justification of stability ranges of commercially reasonable, allowable loss-making
and crisis operation of the vessel, Eastern-European Journal of Enterprise Technologies 6 (2015)
4-10.
[17] S. Bushuyev, D. Bushuiev, V. Bushuieva, Interaction Multilayer model of Emotional Infection
with the Earn Value Method in the Project Management Process, in: 2020 IEEE 15th
International Conference on Computer Sciences and Information Technologies (CSIT), 2020, pp.
146-150, doi: 10.1109/CSIT49958.2020.9321949.
[18] V. Piterska, A. Shakhov, O. Lohinov, L. Lohinova, The Method of Transfer of Research Project
Results of Institution of Higher Education, in: 2019 IEEE 14th International Conference on
Computer Sciences and Information Technologies (CSIT), 2019, pp. 77-80, doi:
10.1109/STCCSIT.2019.8929887.
[19] D. Kobylkin, O. Zachko, Structural Models of Safety-Oriented Management of Infrastructure
Projects Decomposition, in: 2020 IEEE 15th International Conference on Computer Sciences and
Information Technologies (CSIT), 2020, pp. 131-134, doi: 10.1109/CSIT49958.2020.9321877.
[20] S. Bushuyev, I. Babayev, J. Babayev, B. Kozyr, Complementary Neural Networks for Managing
Innovation Projects, in: 2019 IEEE International Conference on Advanced Trends in Information
Theory (ATIT), 2019, pp. 393-396, doi: 10.1109/ATIT49449.2019.9030454.
[21] A. Ivankevich, V. Piterska, A. Shakhov, V. Shakhov, V. Yarovenko, A Proactive Strategy of
Ship Maintenance Operations, in: 2019 IEEE 14th International Conference on Computer
Sciences and Information Technologies (CSIT 2019), Lviv, 2019, pp. 126–129. doi:
10.1109/STC-CSIT.2019.8929741.
[22] S. Bushuyev, O. Verenych, The Blended Mental Space: Mobility and Flexibility as
Characteristics of Project/Program Success, in: 2018 IEEE 13th International Scientific and
Technical Conference on Computer Sciences and Information Technologies (CSIT), 2018, pp.
148-151, doi: 10.1109/STC-CSIT.2018.8526699.
[23] N. Veretennikova and N. Kunanets, Automated System of Information Support of Virtual
Research Team, in: 2017 12th International Scientific and Technical Conference on Computer
Sciences and Information Technologies (CSIT), 2017, pp. 20-23, doi:
10.1109/STCCSIT.2017.8098727.
[24] N. Kunanets, A. Kazarian, R. Holoshchuk, V. Pasichnik, A. Rzheuskyi, Information support of
the virtual research community activities based on cloud computing, in: International Scientific
and Technical Conference on Computer Sciences and Information Technologies,
CSIT 2018, 2018, pp. 199–202.
[25] O. Zachko, R. Golovatyi, D. Kobylkin, Models of safety management in development projects,
in: 2019 IEEE 14th International Conference on Computer Sciences and Information
Technologies (CSIT), 2019, pp. 81-84, doi: 10.1109/STC-CSIT.2019.8929743.
[26] A. Bomba, N. Kunanets, M. Nazaruk, V. Pasichnyk, N, Veretennikova, Model of the Data
Analysis Process to Determine the Person’s Professional Inclinations and Abilities, in: Advances
in Intelligent Systems and Computing, 2019, Vol. 938, pp. 482–492.
[27] Y. Romanenkov, V. Pasichnyk, N. Veretennikova, M. Nazaruk, A. Leheza, Information and
Technological Support for the Processes of Prognostic Modeling of Regional Labor Markets, in:
MoMLeT&amp;DS-2019, Vol. 2386, pp. 23–34.
[28] O. Zachko and D. Kobylkin, Discrete-Event Modeling of the Critical Parameters of Functioning
the Products of Infrastructure Projects at the Planning Stage, in: 2018 IEEE 13th International
Scientific and Technical Conference on Computer Sciences and Information Technologies
(CSIT), 2018, pp. 152-155, doi: 10.1109/STC-CSIT.2018.8526629.
[29] A. Bomba, N. Kunanets, M. Nazaruk, V. Pasichnyk, N. Veretennikova, Information technologies
of modeling processes for preparation of professionals in smart cities, in: Advances in Intelligent
Systems and Computing, 2018, pp. 702–712.
[30] A. Rzheuskyi, H. Matsuik, N. Veretennikova, R. Vaskiv, Selective Dissemination of Information
– Technology of Information Support of Scientific Research, in: Advances in Intelligent Systems
and Computing III, 2018, Vol. 871, pp. 235–245.
[31] O. Matsyuk, M. Nazaruk, Y. Turbal, N. Veretennikova, R. Nebesnyi, Information Analysis of
Procedures for Choosing a Future Specialty, in: Advances in Intelligent Systems and Computing,
2019, Vol. 871, pp. 364–375.
[32] O. Fedorovych, N. Kunanets, Y. Leshhenko, N. Veretennikova, Dual Education as a Bridge
Between Theoretical and Practical Knowledge, in: Proceedings of the 1st International Workshop
IT Project Management (ITPM 2020), Vol. 2565, pp. 295-306.</p>
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