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Prelims

The Leading Practice of Decision Making in Modern Business Systems

ISBN: 978-1-83867-476-2, eISBN: 978-1-83867-475-5

Publication date: 2 December 2019

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(2019), "Prelims", Popkova, E.G. and Chesnokova, A.V. (Ed.) The Leading Practice of Decision Making in Modern Business Systems, Emerald Publishing Limited, Leeds, pp. i-xviii. https://doi.org/10.1108/978-1-83867-475-520191021

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Emerald Publishing Limited

Copyright © 2020 Emerald Publishing Limited

Half Title Page

THE LEADING PRACTICE OF DECISION MAKING IN MODERN BUSINESS SYSTEMS

Title Page

THE LEADING PRACTICE OF DECISION MAKING IN MODERN BUSINESS SYSTEMS

Innovative Technologies and Perspectives of Optimization

EDITED BY

ELENA G. POPKOVA

Plekhanov Russian University of Economics, Russia

ALINA V. CHESNOKOVA

PATRON Advertising Agency, Russia

United Kingdom – North America – Japan – India – Malaysia – China

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Emerald Publishing Limited

Howard House, Wagon Lane, Bingley BD16 1WA, UK

First edition 2020

Copyright © 2020 Emerald Publishing Limited

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A catalogue record for this book is available from the British Library

ISBN: 978-1-83867-476-2 (Print)

ISBN: 978-1-83867-475-5 (Online)

ISBN: 978-1-83867-477-9 (EPub)

List of Figures

Chapter 1
Figure 1. The Russian Model of Decision Making in Modern Business Systems. 7
Chapter 2
Figure 1. Structure of Business Process. 14
Figure 2. The Structure of Business Processes of a Gas Distribution Company. 15
Figure 3. Enlarged Scheme of Business Process “Technological Connection.” 17
Chapter 6
Figure 1. Generalized Structural and Logical Scheme of Mediative Solving of Contradictions during Decision Making in a Modern Business System. 60
Chapter 7
Figure 1. Conceptual Model of Application of Innovative Managerial Technologies of Decision Making in the Sphere of Digital Medicine in Modern Business Systems. 67
Chapter 8
Figure 1. The Volume of Express Credits Markets of the Leading Banks in the Segment of POS-crediting, RUB Billion. 72
Figure 2. Cognitive Map of the System of Risk Management of the POS-loaning Process. 76
Figure 3. Enlarged Cognitive Map of Risk Management of the Processes of POS-crediting. 77
Figure 4. Comparison of the Results of Modeling of Strategies of Development of the Situation for the Values of Concepts X 0 and X 1 . 81
Figure 5. Values of Concepts X 0 and X 1 , Depending on Development of Situations 1 and 2. 82
Figure 6. Results of Implementation of Possible Strategy as a Response to Situation 1. 82
Figure 7. Results of Implementation of Possible Strategy as Response to Situation 2. 83
Chapter 9
Figure 1. A Generalized DSS Diagram. 88
Figure 2. A Diagram of the Membership Functions of Key CES Indicators. 92
Figure 3. The Main Tasks and Functions to Achieve Environmental and Economic Indicators at Regional Level. 94
Chapter 10
Figure 1. The Algorithm of Complex Intellectual Support for Decision Making in a Modern Business System. 103
Chapter 11
Figure 1. Improved Russian Model of Decision Making in a Modern Business System. 112
Chapter 12
Figure 1. The Mechanism of Highly Effective Decision Making in Modern Business Systems. 117
Figure 2. Interactive Algorithm of Decision Making in Modern Business Systems. 118
Chapter 13
Figure 1. Framework Strategy of Highly Effective Decision Making in Modern Business Systems. 125
Chapter 14
Figure 1. Listing of the Model in Lingo. 135
Figure 2. Structure of Evaluation of Effectiveness of Personnel Work. 136
Figure 3. Graphic Presentation of the Game. 139
Chapter 15
Figure 1. Bar Diagram of Distribution of NPV. 145
Figure 2. Trajectories of Change of the Fixed Assets during Five Years of Strategy 1. 147
Figure 3. Trajectories of Change of the Fixed Assets during Five Years According to Strategy 2. 148
Figure 4. Trajectories of Change of the Fixed Assets during Five Years According to Strategy 3. 149
Chapter 16
Figure 1. World, Russian and Ukrainian Trends of Energy Intensity Reduction over 1991–2017. 153
Figure 2. Energy Intensity of Economy in 1991 and in 2017 for a Number of Countries. 154
Figure 3. The Average-weighted Index of Electrical Intensity of GRP Physical Volume ( I X ¯ ) over 2005–2014 by the Core Groups of the Same-type Regions. 162
Figure 4. The Average-weighted Values of Indices of Economic Growth ( I A ¯ ), Structural Changes ( I S ¯ ) and the Technological Factor ( I T ¯ ) by the Core Groups of the Same-type Regions of the Russian Federation (over 2005–2014, in %). 162
Chapter 17
Figure 1. Semantic Network of Information Field of the Procedure of Identification of Production Losses. 172
Figure 2. Scheme of Identification of Production Losses in the Flow of Value Creation. 173

List of Tables

Chapter 2
Table 1. Time of Execution of Application in View of the Main Stages of the Process. 18
Table 2. Types and Characteristic of the Key Indicators of Effectiveness That Are Used in Management of a Business Process. 19
Table 3. Indicators of Effectiveness of the Process of Formation of the Technical Condition. 22
Table 4. Calculation of Coefficient of Efficiency of the Process of Formation of Technical Condition. 24
Chapter 3
Table 1. Values of the Parameters of the Model of Business Processes. 32
Table 2. Indicators of Effectiveness of Business Processes in Company A, Their Calculation and Values. 32
Chapter 4
Table 1. Barriers on the Path of Optimal Decisions in Business Systems in Modern Russia and Perspectives of Overcoming Them. 39
Table 2. Barriers on the Path of Optimal Decisions in Business Systems in Modern Russia by the Example of Rosneft, Lukoil, Gazprom, and Sberbank. 41
Chapter 5
Table 1. Ratio of Global Experience of Decision Making in Modern Business Systems to Criteria of Successfulness of This Process. 48
Table 2. Factors and Results of Optimality of Decisions in Modern Business Systems. 50
Chapter 6
Table 1. Functions of Mediator in the Process of Decision Making in Modern Business Systems. 58
Chapter 7
Table 1. Innovative Managerial Technologies of Decision Making in the Sphere of Digital Medicine in Modern Business Systems. 66
Chapter 9
Table 1. Structure of the Volga Region Population by Age Groups. 90
Chapter 10
Table 1. Intellectual Support for Decision Making in Modern Business Systems through the Prism of the Stages of This Process and the Level of Its Automatization. 101
Chapter 11
Table 1. Perspective Directions of Improving the Process of Decision Making in Modern Russia’s Business Systems. 111
Chapter 14
Table 1. Matrix of Various States of Purchases for Four Types of Products. 134
Table 2. Results of Strategies. 140
Table 3. Matrix of Wins of Player А. 141
Table 4. Matric of Wins of Player A, Excluding Dominating Strategies. 141
Chapter 16
Table 1. Comparison of Ranks of the Russian Regions by the Index of Technological Energy Efficiency (based on factor decomposition of energy consumption increment) with the Ranks by the Index of Energy Intensity of Grp Real Volume for 2005–2014 (exemplified by electricity consumption). 158
Table 2. Dynamic Features of the Empirical Classification of Regions of the Russian Federation by Types of Energy and Economic Development – The Quantitative Composition of Groups of Regions, Homogeneous in the GRP Structure in 2005 and 2014. 159
Table 3. Cores of the Empirical Classification – Subgroups of Regions with Time-stable Types of Energy and Economic Development (2005–2014). 160
Table 4. The Relative Level of Regional Energy Efficiency Policy Performance Taking into Account Both Indices ( I X ¯ ) and ( I T ¯ ). 163
Table 5. Indicators of Electricity Consumption Efficiency in the Volgograd Region in 2005–2014 as Compared to Their Average-weighted Values across the Total Set of Regions of the Russian Federation and across a Group of Diversified Regions. 164
Chapter 17
Table 1. Fragment of Production Report. 174

List of Contributors

Alexander N. Alekseev Plekhanov Russian University of Economics, Russia
Yuliya Y. Andreeva Volgograd State Technical University, Russia
Natalia S. Andryashina Minin Nizhny Novgorod State Pedagogical University, Russia
Tatyana Y. Anopchenko Southern Federal University, Rostov-on-Don, Russia
Nataliya V. Asanova Volgograd State Technical University, Volgograd, Russia
Oksana A. Avdeyuk Volgograd State Technical University, Volgograd, Russian Federation
Lyudmila Y. Bogachkova Volgograd State University, Volgograd, Russia
Aleksei V. Bogoviz National Research University “Higher School of Economics”, Russia
Igor V. Bulava Federal State Educational Budgetary Institution of Higher Education “Financial University under the Government of the Russian Federation” (Financial University), Moscow, Russia
Alexandra N. Bystrova University of Tyumen, Tyumen, Russia
Alina V. Chesnokova Russian State University of Tourism and Service, Russia
Igor V. Chistov Federal State Federal Military Educational Establishment of Higher Education “Military University” of the Ministry of Defense of the Russian Federation, Moscow, Russia
Ekaterina P. Garina Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia
Irina V. Gashenko Rostov State University of Economics, Rostov-on-Don, Russia
Lidiya S. Guryanova Kharkiv National University of Economics, Kharkiv, Ukraine
Larisa A. Ilyina Samara State Technical University, Samara, Russia
Karine S. Khachaturyan Federal State Military Educational Institution of Higher Education “Military University” of the Ministry of Defense of the Russian Federation, Moscow, Russia
Elvira A. Khalikova Ufa State Petroleum Technological University, Ufa, Russia
Shamam G. Khurshudyan Volgograd State University, Volgograd, Russia
Angelina E. Kolieva I.T. Trubilin Kuban State Agrarian University, Krasnodar, Russia
Elena A. Kondratyeva Federal State Educational Budgetary Institution of Higher Education “Financial University under the Government of the Russian Federation” (Financial University)”, Moscow, Russia
Ekaterina S. Kovanova Kalmyk State University named after B.B. Gorodovikova, Elista, Russian Federation
Tatyana E. Kozhanova Volgograd State Technical University, Volgograd, Russia
Yuliya A. Kruchanova Rostov State University of Economics, Rostov-on-Don, Russia
Viktor P. Kuznetsov Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia
Ekaterina S. Lebedeva Moscow Technological University, Institute of Complex Security and Special Instrument-Making, Department of Economic Security, Moscow, Russia
Tatiana B. Leybert Ufa State Petroleum Technological University, Ufa, Russia
Svetlana V. Lobova Altai State University, Russia
Elena N. Makarenko Rostov State University of Economics, Rostov-on-Don, Russia
Tatyana V. Makarenko Rostov State University of Economics, Rostov-on-Don, Russia
L.N. Medvedeva Volgograd State Technical University, Volgograd, Russia
Margarita A. Menshikova State Budgetary Educational Institution of Higher Education of the Moscow Region “Technological University”, Korolev, Russia
Igor E. Mizikovsky Lobachevsky State University of Nizhni Novgorod, Nizhny Novgorod, Russia
Raphael F. Mustafin Kuban State University, Krasnodar, Russia
Vera V. Nekrasova University Lorraine, Nancy, France
Irina V. Orobinskaya Voronezh State Agrarian University, Voronezh, Russia
Vladislav I. Ostrovskiy Southern Federal University, Rostov-on-Don, Russia
Yuliya A. Panteleeva Samara State Technical University, Samara, Russia
Elena G. Popkova Institute of Scientific Communications, Russia
Yulia V. Ragulina RUDN University, Russia
Aleksey F. Rogachev Volgograd State Agrarian University, Volgograd, Russia
Elena V. Romanovskaya Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russia
Yuliya S. Sakhno University of Tyumen of Tyumen, Tyumen, Russia
Olga G. Semenyuta Rostov State University of Economics, Rostov-on-Don, Russia
Natalia A. Shchukina Plekhanov Russian University of Economics, Moscow, Russian Federation; Financial University under the Government of the Russian Federation, Russian Federation, Moscow
Neonila M. Shiryaeva LLC “Consulting – UK”, Rostov-on-Don, Russia
Sergey V. Shkodinsky Moscow State Regional University, Moscow, Russia; Research Institute of Finance of the Ministry of Finance of the Russian Federation Moscow, Russia
Dmitry L. Skipin University of Tyumen, Tyumen, Russia
Irina A. Tarasova Volgograd State Technical University, Volgograd, Russian Federation
Zalina B. Tedeeva K.L. Khetagurov North Ossetia State University, Vladikavkaz, Russia
Vladimir S. Tikhonov Samara State Technical University, Samara, Russia
M.A. Timoshenko Volgograd State Social and Pedagogical University, Volgograd, Russia
Olga V. Titova Altai State University, Russia
Kirill E. Tokarev Volgograd State Agrarian University, Volgograd, Russia
Natalia V. Viktorova University of Tyumen of Tyumen, Tyumen, Russia
Rustem T. Yuldashev Federal State Autonomous Institution of Higher Education “Moscow State Institute of International Relations (University) of the Ministry of Foreign Affairs of the Russian Federation”, Moscow, Russia
Sergey E. Zakutnev Federal State Federal Military Educational Establishment of Higher Education “Military University” of the Ministry of Defense of the Russian Federation, Moscow, Russia
Yuliya S. Zima Rostov State University of Economics, Rostov-on-Don, Russia
Prelims
Introduction
Part I Generalization of the Existing Experience of Decision Making in Modern Business Systems
Chapter 1 The Russian Model of Decision Making in Modern Business Systems
Chapter 2 Current Tendencies of Transformation of the Russian Practice of Decision Making in Business Systems
Chapter 3 Problems of Decision Making in Business Systems by the Example of Modern Russia’s Industry
Chapter 4 Barriers on the Path of Making of Optimal Decisions in Business Systems by the Example of Modern Russia
Chapter 5 Successful Global Experience of Decision Making in Modern Business Systems
Part II Technologies of Support for Decision Making in Modern Business Systems
Chapter 6 The Role and Functions of Mediator in the Process of Decision Making in Modern Business Systems
Chapter 7 Innovative Managerial Technologies of Decision Making in the Sphere of Digital Medicine in Modern Business Systems
Chapter 8 Innovative Management Technologies of Decision Making in Modern Business Systems
Chapter 9 Analysis and Support of Decision Making with the Use of Latest Information and Communication Technologies for Development of Social and Economic Area with Regard to Capabilities of Different Categories of Population
Chapter 10 Intellectual Support for Decisions in Modern Business Systems
Part III Recommendations for Improving the Process of Decision Making in Modern Business Systems
Chapter 11 Prospective Directions of Improving the Process of Decision Making in Business Systems by the Example of Modern Russia
Chapter 12 The Mechanism of Highly Effective Decision Making in Modern Business Systems
Chapter 13 Strategy of Highly Efficient Decision Making in Modern Business Systems
Chapter 14 The Optimization Model of Decision Making in Modern Business Systems
Chapter 15 Algorithm of Implementation of the Optimization Model of Decision Making in Modern Business Systems
Chapter 16 Development of Tools to Support Decision Making in Evaluating the Performance of State Energy Efficiency Policy (the Case of Russian Regions)
Chapter 17 Structuring the Information Base on Production Losses in the Conditions of Effective Production Management
Conclusions
Index
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