Научная статья на тему 'Risks in the organization of logistics activities in the housing and communal complex'

Risks in the organization of logistics activities in the housing and communal complex Текст научной статьи по специальности «Экономика и бизнес»

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СИСТЕМНЫЙ АНАЛИЗ / ЛОГИСТИКА В ЖИЛИЩНО-КОММУНАЛЬНОМ КОМПЛЕКСЕ / МОДЕРНИЗАЦИЯ ЛОГИСТИЧЕСКИХ ПРОЦЕССОВ / МЕТОДЫ ОЦЕНКИ РИСКОВ В ЛОГИСТИКЕ / РИСКИ В ЛОГИСТИКЕ / УПРАВЛЕНИЕ РИСКАМИ / SYSTEM ANALYSIS / LOGISTICS IN HOUSING AND COMMUNAL COMPLEX / MODERNIZATION OF LOGISTICS PROCESSES / METHODS OF RISK ASSESSMENT IN LOGISTICS / RISKS IN LOGISTICS

Аннотация научной статьи по экономике и бизнесу, автор научной работы — Passmore David L., Borkovskaya Victoria G., Korytova Yulia S.

Introduction. An important direction for the modernization of the sphere of housing and communal complexes is the optimization of logistics processes. Logistics is considered a special branch of housing and communal activities not only because of the importance of the development of housing and communal complex but also to create the necessary economic conditions for the growth of the quality of services. Logistics in the housing and communal complex has a number of requirements, including the need to constantly maintain the approved quality-quantity and to promote continuity of material and information flows. The risks of lack of stable provision to meet these requirements are a problem for the development of the entire service sector of the housing and communal complex. Methods existing for risk management should be adapted to the specifics of the operation of housing stock. When using various methods of risk analysis, it is necessary to take into account not only the economic performance of the logistics department of the management company but also to consider the working conditions and quality of services to apply further techniques to eliminate significant risks. The subject of research risks in logistics processes of companies providing housing and communal services as one of the main vectors of housing and communal complex development. The objectives are to determine the methods that can regulate the risks arising from the logistics processes in work, to establish the relationship of modernization of housing and communal complex by reducing logistics risks. Materials and methods. The study considers the most rational methods of risk assessment and the possibility of their synthesis. Results. It is revealed that the assessment of the risks arising in the company’s logistic activity housing and utilities sector must be implemented using a systematic approach to analysis, i.e. analysis should be carried out on the basis of available data on logistics management company, by the use of analogy with the logistic activities of management companies, as well as on statistical data collected by the object of logistics activities. In the synthesis of all three methods, it is possible to obtain the most general and suitable for further work information on the state of risks from the logistics processes of the management company. Conclusions. By applying a mathematical analysis of the logistics data management company, as well as performing quality control during work with the use of modern techniques for the warehouse and the introduction of electronic tracking of information and material flows, it is possible to reduce the risks associated with the logistic operations in the field of housing and communal complex. In General, this modernization of the logistics Department will not only increase the efficiency of work but also can improve the quality of services provided.

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Риски в организации логистических мероприятий в жилищно-коммунальном комплексе

АHHOТАЦИЯ Введение. Важным направлением для модернизации деятельности сферы жилищно-коммунального комплекса (ЖКК) является оптимизация логистических процессов. Рассмотреть логистику как особую отрасль жилищно-коммунальной деятельности следует не только из-за важности развития сферы ЖКК, но и в целом для того, чтобы создать необходимые экономически выгодные условия для роста качества услуг. В связи с особыми условиями логистика в ЖКК имеет ряд особенностей: необходимость постоянного поддержания утвержденного качество-количественного показателя и бесперебойность материальных и информационных потоков. Риски, которые описывают отсутствие стабильного обеспечения данных свойств логистической деятельности жилищно-коммунальной структуры, являются приоритетным направлением для развития всей сферы услуг ЖКК. Предмет исследования риски при логистических процессах компаний, предоставляющих жилищно-коммунальные услуги как один из основных векторов развития ЖКК. Цель определить методы, способные регулировать риски, возникающие при логистических процессах в работе, установить взаимосвязь модернизации ЖКК путем снижения логистических рисков. Материалы и методы. Использованы наиболее рациональные методы по оценке рисков и возможность их синтеза. Результаты. Выявлено, что оценку рисков, возникающих в логистической деятельности компании ЖКК, необходимо осуществлять, используя системный подход в анализе, т.е. анализ должен осуществляться на основании имеющихся данных по логистике управляющей компании путем проведения аналогии с логистической деятельностью других управляющих компаний, а также на собранных статистических данных по объекту логистической деятельности. При синтезе всех трех методов возможно получить наиболее общую и подходящую для дальнейшей работы информацию по состоянию рисков от логистических процессов управляющей компании. Выводы. Посредством применения математического анализа логистических данных управляющей компании, а также проведения качественного контроля непосредственно в ходе работы с использованием современных методик по работе склада и внедрение электронного отслеживания информационных и материальных потоков, возможно понизить риски, связанные с логистическими операциями в сфере ЖКК. В целом такая модернизация отдела логистики приведет не только к увеличению эффективности, но и сможет улучшить качество предоставляемых услуг.

Текст научной работы на тему «Risks in the organization of logistics activities in the housing and communal complex»

ТЕХНОЛОГИЯ И ОРГАНИЗАЦИЯ СТРОИТЕЛЬСТВА. ЭКОНОМИКА И УПРАВЛЕНИЕ

В СТРОИТЕЛЬСТВЕ

УДК 332.872:658.7 DOI: 10.22227/1997-0935.2019.11.1466-1472

Risks in the organization of logistics activities in the housing and

communal complex

David L. Passmore1, Victoria G. Borkovskaya2, Yulia S. Korytova2

1 Pennsylvanian State University; USA; 2 Moscow State University of Civil Engineering (National Research University) (MGSU);

Moscow, Russian Federation

ABSTRACT

Introduction. An important direction for the modernization of the sphere of housing and communal complexes is the optimization of logistics processes. Logistics is considered a special branch of housing and communal activities not only because of the importance of the development of housing and communal complex but also to create the necessary economic conditions for the growth of the quality of services. Logistics in the housing and communal complex has a number of requirements, including the need to constantly maintain the approved quality-quantity and to promote continuity of material and information flows. The risks of lack of stable provision to meet these requirements are a problem for the development of the entire service sector of the housing and communal complex. Methods existing for risk management should be adapted to the specifics of the operation of housing stock. When using various methods of risk analysis, it is necessary to take into account not only the economic performance of the logistics department of the management company but also to consider the working conditions and quality of services to apply further techniques to eliminate significant risks. The subject of research — risks in logistics processes of companies providing housing and communal services as one of the main vectors of housing and communal complex development. The objectives are to determine the methods that can regulate the risks arising from О» ф the logistics processes in work, to establish the relationship of modernization of housing and communal complex by reducing

g g logistics risks.

Materials and methods. The study considers the most rational methods of risk assessment and the possibility of their synthesis.

ф Results. It is revealed that the assessment of the risks arising in the company's logistic activity housing and utilities sector

must be implemented using a systematic approach to analysis, i.e. analysis should be carried out on the basis of available data on logistics management company, by the use of analogy with the logistic activities of management companies, as well as on statistical data collected by the object of logistics activities. In the synthesis of all three methods, it is possible to obtain the most general and suitable for further work information on the state of risks from the logistics processes of the management company.

Conclusions. By applying a mathematical analysis of the logistics data management company, as well as performing h- 5 quality control during work with the use of modern techniques for the warehouse and the introduction of electronic tracking of

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information and material flows, it is possible to reduce the risks associated with the logistic operations in the field of housing and communal complex. In General, this modernization of the logistics Department will not only increase the efficiency of

£ о work but also can improve the quality of services provided.

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о KEYWORDS: system analysis, logistics in housing and communal complex, modernization of logistics processes, methods

«? ^ of risk assessment in logistics, risks in logistics

<n g FOR CITATION: Passmore D.L., Borkovskaya V.G., Korytova Y.S. Risks in the organization of logistics activities in the

^ housing and communal complex. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2019; 14(11):1466-

OT E 1472. DOI: 10.22227/1997-0935.2019.11.1466-1472 (rus.).

<5

~ § Риски в организации логистических мероприятий в жилищно-

§ | коммунальном комплексе

Ё5 i

^ Дэвид Пассмур1, В.Г. Борковская2, Ю.С. Корытова2

от § 1 Пенсильванский государственный университет; США;

Т ^ 2 Национальный исследовательский Московский государственный строительный университет

£5 Э (НИУ МГСУ); г. Москва, Россия

Ка АHHOТАЦИЯ

5 ™ Введение. Важным направлением для модернизации деятельности сферы жилищно-коммунального комплекса

¡3 ^ (ЖКК) является оптимизация логистических процессов. Рассмотреть логистику как особую отрасль жилищно-комму-

^ ^ нальной деятельности следует не только из-за важности развития сферы ЖКК, но и в целом для того, чтобы создать

© Дэвид Пассмур, В.Г. Борковская, Ю.С. Корытова, 2019 Распространяется на основании Creative Commons Attribution Non-Commercial (CC BY-NC)

необходимые экономически выгодные условия для роста качества услуг. В связи с особыми условиями логистика в ЖКК имеет ряд особенностей: необходимость постоянного поддержания утвержденного качество-количественного показателя и бесперебойность материальных и информационных потоков. Риски, которые описывают отсутствие стабильного обеспечения данных свойств логистической деятельности жилищно-коммунальной структуры, являются приоритетным направлением для развития всей сферы услуг ЖКК. Предмет исследования — риски при логистических процессах компаний, предоставляющих жилищно-коммунальные услуги как один из основных векторов развития ЖКК. Цель — определить методы, способные регулировать риски, возникающие при логистических процессах в работе, установить взаимосвязь модернизации ЖКК путем снижения логистических рисков.

Материалы и методы. Использованы наиболее рациональные методы по оценке рисков и возможность их синтеза. Результаты. Выявлено, что оценку рисков, возникающих в логистической деятельности компании ЖКК, необходимо осуществлять, используя системный подход в анализе, т.е. анализ должен осуществляться на основании имеющихся данных по логистике управляющей компании путем проведения аналогии с логистической деятельностью других управляющих компаний, а также на собранных статистических данных по объекту логистической деятельности. При синтезе всех трех методов возможно получить наиболее общую и подходящую для дальнейшей работы информацию по состоянию рисков от логистических процессов управляющей компании.

Выводы. Посредством применения математического анализа логистических данных управляющей компании, а также проведения качественного контроля непосредственно в ходе работы с использованием современных методик по работе склада и внедрение электронного отслеживания информационных и материальных потоков, возможно понизить риски, связанные с логистическими операциями в сфере ЖКК. В целом такая модернизация отдела логистики приведет не только к увеличению эффективности, но и сможет улучшить качество предоставляемых услуг.

КЛЮЧЕВЫЕ СЛОВА: системный анализ, логистика в жилищно-коммунальном комплексе, модернизация логистических процессов, методы оценки рисков в логистике, риски в логистике, управление рисками

ДЛЯ ЦИТИРОВАНИЯ: Пассмур Д., Борковская В.Г., Корытова Ю.С. Risks in the organization of logistics activities in the housing and communal complex // Вестник МГСУ. 2019. Т. 14. Вып. 11. С. 1466-1472. DOI: 10.22227/19970935.2019.11.1466-1472

INTRODUCTION

Logistics in the housing and communal complex is an organizing structure for the processes of transportation, storage, and warehousing of materials and information in order to carry out the direct activities of management companies for the operation of facilities. Risk analysis and management is a promising direction for development in logistics1. Risk analysis should be carried out using specially developed methods for risk assessment in housing and communal complexes. In managing companies, logistics processes are not considered as the leading stream of economic and qualitative leakage; however, at the implementation of the economic analysis, it is possible to note that logistics operations are the most probable places for the emergence of risks [2]. Nevertheless, housing and communal complexes require detailed and modern approaches to logistics to produce quality results that could lead to the modernization of activities, in general.

MATERIALS AND METHODS

The choice of the analysis method is based on the specifics of the types of risks of logistics activities of

1 PMI 2017. A guide to the Project Management Body of Knowledge (PMBOK Guide) 6 (USA: PMI).

the management company. Risks in the field of logistics can be divided into types [3]:

• technological risk — the risk of disruption of logistics flows;

• economic risk-non-compliance with the financial obligations of the parties;

• environmental risk-reduction of the quality index of material flows;

• operational risks-arise as a result of improper construction of the company's logistics activities, the impact of external conditions on logistics activities.

These types of risks describe the possibility of an unfavorable outcome in the main directions of the logistics activities of the management company [4-6]. Quantitatively, the risk of any kind can be defined as:

R = - ,

N

where n is a quantitative indicator of real cases of disruption of logistics flows; N is the number of possible cases of flow disruption in logistics, and R is a quantitative measure of logistic risks determined over a particular time interval.

Methods of risk assessment in the logistics of the housing sector can be based on the collected statistical data on the object of logistics activities using available statistics and information over a long time [7-9].

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In order to calculate the probability of an adverse event, the method is divided into three main stages [1012]: the collection of a number of data on the object, the analysis of various models of the outcome of the event, and calculation of the probability of risk. Often, statistical methods are used such as failure tree, the method of assessing the probability of an unfavorable outcome of the event, or simulation modeling using mathematical models based on the analysis of the logistics structure of the company [13]. The bottom line is that different types of risk have a different probability of an adverse event. Determination of the level of risk by analysis is aimed at identifying potential risk areas. This allows identification of the most vulnerable places, as well as determine ways to eliminate them [14-16].

Another method is based on the analogy of the logistics activities of another management company with individual experience in the logistics sector of housing and communal complex. This method allows, on the basis of a comparative analysis, to determine the quality of the logistics structure of the management company with respect to which a risk analysis is conducted to determine the feasibility of innovative approaches in logistics, housing and communal complex and the likelihood of adverse events and look at the results of using specific methods of work.

Risk management is one of the essential functional areas in project management methodology. In practice, qualitative risk assessments are generally applied [19]. However, the theory of risk management based on qualitative assessments is virtually absent. This article defines qualitative risk assessments and complex risks. It also sets the tasks of risk management and proposes the algorithms for solving the corresponding problems.

To determine the qualitative risk assessments, we define two scales: the probability scale and the damage scale. Let us confine ourselves to the consideration of two evaluation scales [20]. On the probability scale, we determine the expert boundary point v. If the project has a low risk in probability, it means that the probability, p, of the risk event is less than or equal to V. If the project has a high risk, then p > v. Similarly, we introduce the boundary point u for damage (a share of the project cost). If the damage is low, it is less than or equal to u; otherwise the damage is high. Because we do not know anything about the probability and damage distribution functions at low- and high-risk intervals, we assume that they are uniform. Define the base points

1 + v

v, =—, v2 = -1 2 2 2

for the probability of risk and

u um + u

1 2 2 2 '

for damage (um-coefficient, which determines how many times the maximum damage is less or more than the cost of the project, respectively, if we denote the cost of the project c, the amount of maximum damage will be umc). For certainty, we assume um = 1, i.e., the maximum damage does not exceed the cost of the project, although the opposite happens [21].

It is now possible to determine the boundary level of the expected damage (i.e., the degree of impact): w = vu and its base levels w^ = viui and w2 = v2u2. There are two variants of the qualitative estimates-low value of the indicator (L) and high H [22]. For any situation, the expected damage can be described by a pair, where the first place is the assessment of probability, and the second — the damage. Four combinations of qualitative assessments are possible: (LL), (LH), (HL), and (HH). Obviously, the variant (LL) has a low degree of influence, (HH) — high. To determine the degree of influence of options (LH) and (HL) proceed as follows. If for option (LH) v,u2 < vu, then the option has a low degree of influence, otherwise — a high. For option (HL) will be considered in the same way work v2u1 [23].

Let us move on to assessing complex risks [2224]. Let the project consist of n works. We will consider the risks of work as independent random variables. In this case, the damages are summed up. Let us denote for each work i three qualitative estimates — (x,, y,, z,); where x — probability estimate; y — damage estimate; z — the degree of influence of the i-th work. Because the expected damages of independent random variables are summed up, the qualitative assessment of the impact of the project is determined as follows. Let us denote Qx — much work with low rating and probability and damage Q2 — much work with a low rating of probability and low damage, the Q3 — is much work with a high rating for probability and low damage Q4 — much work with a high rating and probability and damage:

a, = C, i = 1, 4, ct

where c is the cost of works of the set Q; c — is the

i -1

sum of the costs of works [25].

Calculate the expected damage per unit cost

W = a1u1v1 + a2u2v1 + a3u^2 + a4u2v2, damage per unit value

U = alul + a2u2 + a3ux + a4u2, W

and probability V = —.

We determine qualitative risk assessments of the project as a whole using appropriate scales. When using these methods, the main objects of study are [26-28]:

• mathematical data on the turnover of the management company;

• data on the quality of logistics processes (frequency of delays in delivery of goods, turnover rate of products, organization of warehouses, etc.);

• analysis of problems and drawing up a plan for the modernization of the logistics bodies of the management company.

RESULTS

Risks associated with logistics processes in organizations providing housing and communal services need to be taken under control by modernizing the processes of warehousing, storage, and organization of trade. The methods used in the study will help to identify the weakest points for logistics processes and determine the primary vector of development of the logistics activities of management companies. The most in-depth information about the existing risks can be obtained through the synthesis of three methods. The main part of the risks in logistics activities is the leakage of material and information flows. There is no global control system for the movement of goods, which increases technological and economic risks. Risk management should include the following stages of activity:

• risk assessment using the synthesis of existing methods;

• definition of the most priority directions on the modernization of activity;

• measures to reduce risks in logistics processes;

• measures to eliminate risks at the level of the organizational structure of the department.

CONCLUSIONS

When analyzing the risks arising in the field of logistics of housing and communal complex, there is a need to introduce methods for global management of information and material flows of management companies. In a unified document management system, mathematical methods of risk identification allow improvement of activities of management companies, as well as significant change in the quality of services provided. The risks in the logistics activities of the management company should be considered as a priority for the development of logistics in the housing and communal complex.

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based on qualitative assessments of their characteristics. Economy and Management of Management Systems. 2017; 26(4):42-49. (rus.).

14. Borkovskaya V.G., Degayev E.N. Strategic leadership and risk reduction in the enterprise. Real estate: Economics, management. 2018; 1:21-25.

15. Borkovskaya V.G., Passmore D. Behavioral engineering model to identify risks of losses in the construction industry. Smart Technologies and Innovations in Design for Control of Technological Processes and Objects: Economy and Production. 2020; 243-250. DOI:10.1007/978-3-030-15577-3_24

16. Borkovskaya V.G. Project management risks in the sphere of housing and communal services. MATEC Web of Conferences. 2018; 251:06025. DOI: 10.1051/matecconf/201825106025

17. Borkovskay V.G. Reducing the risks at the enterprise at the strategic leadership of the management. CITISE. 2018; 3(16):15. (rus.).

18. Passmore D., Chae C., Borkovskaya V., Baker R., Yim J.-H. Severity of U.S. Construction Worker Injuries, 2015-2017. E3S Web of Conferences. 2019; 97:06038. DOI: 10.1051/e3sconf/20199706038

19. Dinçer H., Hacioglu Ü. Risk management, strategic thinking and leadership in the financial services industry. Contributions to Management Science. 2017. DOI: 10.1007/978-3-319-47172-3

iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.

20. Norris S.E. What motivates an individual to lead and engage in leadership development? Encyclopedia of Strategic Leadership and Management. 2017; 696-706. DOI: 10.4018/978-1-5225-1049-9.ch048

Received September 3, 2019.

Adopted in a revised form on September 29, 2019.

Approved for publication October 29, 2019.

21. Gordon R. Strategic transformational organizational leadership. Encyclopedia of Strategic Leadership and Management. 2017; 1667-1684. DOI: 10.4018/978-1-5225-1049-9.ch116

22. Norton Jr I.W., Murfield M.L.U., Baucus M.S. Leader emergence: the development of a theoretical framework. Leadership & Organization Development Journal. 2014; 35(6):513-529. DOI: 10.1108/lodj-08-2012-0109

23. Borkovskaya V., Bardenwerper W., Roe R. Interactive teaching of risk management in the Russian construction industry. IOP Conference Series: Materials Science and Engineering. 2018; 365(6):062030. DOI: 10.1088/1757-899X/365/6/062030

24. Nahavandi A. The Art and Science of Leadership, Global Edition. United Kingdom, Pearson Education Publ., 2015; 416.

25. Renz D.O., Herman R.D. The Jossey-Bass Handbook of Nonprofit Leadership and Management, Fourth Edition. John Wiley & Sons, 2016. DOI: 10.1002/9781119176558

26. Urby H., McEntire D.A. Emergency managers as change agents: Recognizing the value of management, leadership, and strategic management in the disaster profession. Journal of Emergency Management. 2016; 13(1):37. DOI: 10.5055/jem.2015.0216

27. Kloppenborg T.J., Laning L.J. Strategic leadership of portfolio and project management / 1st ed. New York, Business Expert Press Publ., 2012.

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B i o n o t e s : David L. Passmore — PhD in Education, Distinguished Professor; Pennsylvania State University; 305D Keller bld., University Park, PA 16802, USA; ORCID: 0000-0001-9307-5164, Scopus: 7003285974, ResearcherlD: D-8496-2017; Dlp@psu.edu;

Victoria G. Borkovskaya — PhD in Economics, Associate Professor of the Department of Communal Housing and Public Utilities Complex; Moscow State University of Civil Engineering (National Research University) (MGSU); 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; RISC ID: 675204; BorkovskayaVG@mgsu.ru;

Yulia S. Korytova — student; Moscow State University of Civil Engineering (National Research University) (MGSU); 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; iiesm@mgsu.ru.

ЛИТЕРАТУРА

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1. Burkov V.N., Novikov D.A., Shchepkin A.V. Simulation models for control mechanisms in ecological-economic systems // Control Mechanisms for Ecological-Economic Systems. 2015. Pp. 117-154. DOI: 10.1007/978-3-319-10915-2 4

2. Бурков В.Н., Лернер А.Я. Принцип открытого управления активными системами. М. : ИПУ РАН, 1971. 26 с.

3. Голенко-ГинзбургД.И. Стохастические сетевые модели планирования и управления разработками. Воронеж : Научная книга, 2010. 283 с.

4. Гусаков А.А., Гинзбург А.В., Веремеенко С.А., Бархатов В.Д., Васильева С.С., Габриелов А.О. и др. Управление проектами. Фундаментальный курс / под ред. В.М. Аньшина, О.Н. Ильиной. М. : Изд. дом Высшей школы экономики, 2013. 620 с.

5. Бурков В.Н., Кондратьев В.В., Цыганов В.В., Черкашин А.М. Теория активных систем и совершенствование хозяйственного механизма. М. : Наука, 1984. 272 с.

6. Решке Х., Шелле Х. Мир управления проектами / пер. с англ. М. : Аланс, 1993. 304 с.

7. Borkovskaya V.G. Complex models of active control systems at the modern developing enterprises // Advanced Materials Research. 2014. Vol. 945949. Pp. 3012-3015. DOI: 10.4028/www.scientific.net/ amr.945-949.3012

8. Борковская В.Г., Беликова Е.С. Риски и фактическое состояние системы менеджмента качества на предприятиях стройиндустрии // Недвижимость: экономика, управление. 2017. № 4. С. 39-42.

9. Агзямов Р.А., Бурков В.Н., Борковская В.Г., Насонова Т.В. Метод определения качественных оценок риска программы, состоящей из нескольких проектов // Информационные технологии моделирования и управления. 2018. Т. 111. № 3. С. 164-172.

10. Борковская В.Г., Дегаев Е.Н. Стратегическое лидерство руководства и снижения риска на предприятии // Недвижимость: экономика, управление. 2018. № 1. С. 21-25.

11. Борковская В.Г. Проектные риски // Научное обозрение. 2015. № 23. С. 212-215.

12. Бурков В.Н., Борковская В.Г., Пужано-ва Е.О., Уандыков Б.К. Задачи оперативного управления программой с учетом рисков // Моделирование и наукоемкие информационные технологии в технических и социально-экономических системах : тр. IV Всеросс. науч.-практ. конф. с междунар. участием / под общ. ред. В.П. Цымбала, Т.В. Киселевой. 2016. С. 14-16.

13. Агзямов Р.А., Бурков В.Н., Борковская В.Г., Насонова Т.В. Управление программными рисками на основе качественных оценок их характеристик // Экономика и менеджмент систем управления. 2017. Т. 26. № 4. С. 42-49.

14. Борковская В.Г., Дегаев Е.Н. Стратегическое лидерство руководства и снижения риска на предприятии // Недвижимость: экономика, управление. 2018. № 1. С. 21-25.

15. Borkovskaya V.G., Passmore D. Behavioral engineering model to identify risks of losses in the construction industry // Smart Technologies and Innovations in Design for Control of Technological Processes

and Objects: Economy and Production. 2020. Pp. 243250. DOI: 10.1007/978-3-030-15577-3_24

16. Borkovskaya V.G. Project management risks in the sphere of housing and communal services // MATEC Web of Conferences. 2018. Vol. 251. P. 06025. DOI: 10.1051/matecconf/201825106025

17. Борковская В.Г. Снижение рисков в жилищно-коммунальном хозяйстве при стратегическом лидерстве руководства // ЦИТИСЭ. 2018. № 3 (16). C. 15.

18. Passmore D., Chae C., Borkovskaya V., Baker R., Yim J.-H. Severity of U.S. Construction Worker Injuries, 2015-2017 // E3S Web of Conferences. 2019. Vol. 97. P. 06038. DOI: 10.1051/e3sconf/20199706038

19. Dinçer H., Hacioglu Ü. Risk management, strategic thinking and leadership in the financial services industry // Contributions to Management Science. 2017. DOI: 10.1007/978-3-319-47172-3

20. Norris S.E. What motivates an individual to lead and engage in leadership development? // Encyclopedia of Strategic Leadership and Management. 2017. Pp. 696-706. DOI: 10.4018/978-1-5225-1049-9.ch048

21. Gordon R. Strategic transformational organizational leadership // Encyclopedia of Strategic Leadership and Management. 2017. Pp. 1667-1684. DOI: 10.4018/978-1-5225-1049-9.ch116

22. Norton Jr I.W., Murfield M.L.U., Baucus M.S. Leader emergence: the development of a theoretical framework // Leadership & Organization Development Journal. 2014. Vol. 35. Issue 6. Pp. 513-529. DOI: 10.1108/lodj-08-2012-0109

23. Borkovskaya V., Bardenwerper W., Roe R. Interactive teaching of risk management in the Russian construction industry // IOP Conference Series: Materials Science and Engineering. 2018. Vol. 365. Issue 6. P. 062030. DOI: 10.1088/1757-899X/365/6/062030

24. Nahavandi A. The art and science of leadership, global Edition. United Kingdom : Pearson Education, 2015. 416 p.

25. Renz D.O., Herman R.D. The jossey-bass handbook of nonprofit leadership and management, Fourth Edition. John Wiley & Sons, 2016. DOI: 10.1002/9781119176558

26. Urby H., McEntire D.A. Emergency managers as change agents: recognizing the value of management, leadership, and strategic management in the disaster profession // Journal of Emergency Management. 2016. Vol. 13. Issue 1. P. 37. DOI: 10.5055/jem.2015.0216

27. Kloppenborg T.J., Laning L.J. Strategic leadership of portfolio and project management. 1st ed. New York : Business Expert Press, 2012.

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Поступила в редакцию 3 сентября 2019 г. Принята в доработанном виде 29 сентября 2019 г. Одобрена для публикации 29 октября 2019 г.

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Об авторах: Дэвид Пассмур — доктор наук, профессор; Университет штата Пенсильвания; PA 16802, University Park, 305D Keller bld., США; ORCID: 0000-0001-9307-5164, Scopus: 7003285974, ResearcherlD: D-8496-2017; Dlp@psu.edu;

Виктория Геннадьевна Борковская — кандидат экономических наук, доцент, доцент кафедры жилищно-коммунального комплекса; Национальный исследовательский Московский государственный университет (НИУ МГСУ); Ярославское шоссе, д. 26, 129337, г. Москва; РИНЦ ID: 675204; BorkovskayaVG@mgsu.ru;

Юлия Сергеевна Корытова — студентка; Национальный исследовательский Московский государственный университет (НИУ МГСУ); Ярославское шоссе, д. 26, 129337, г. Москва; iiesm@mgsu.ru.

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