2408-9338Research result. Sociology and Management2408-933810.18413/2408-9338-2018-4-3-0-71489SOCIOLOGY OF MANAGEMENT AND SOCIAL TECHNOLOGIESSTATISTICAL MODELING AND ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE ASSESSMENT AND MANAGEMENT OF THE PARAMETERS OF A SINGLE CREATIVE TEAM FIELD: THE EXPERIENCE OF QUANTITATIVE ANALYSISSTATISTICAL MODELING AND ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE ASSESSMENT AND MANAGEMENT OF THE PARAMETERS OF A SINGLE CREATIVE TEAM FIELD: THE EXPERIENCE OF QUANTITATIVE ANALYSISPrusYuriy V.PrusYuriy V.YUVprus@fa.ruBinhYinBinhYinruskitcentr@yandex.ruFedotovaMarina A.FedotovaMarina A.fedotova-ma@yandex.ru20184300

The article discusses the issues related to the modeling of the processes of formation and management of team work, including the parameters of a single creative field of project teams. A brief analysis of the existing social situation and models used in social research is given, their strengths and weaknesses are considered. A short list of sociological methodological approaches, theoretical and methodological tools is given. The results of specific socio-psychological experiments related to the formation and evaluation of the parameters of a single creative field are presented. A system of statistical, dynamic/simulation and expert-analytical models of predictive analytics necessary for effective management of project teams is proposed, a brief description of its levels and their parameters is given. The authors carry out the quantification of the main parameters of a single creative field (organizational, cognitive and affective) of project teams. Suggestions for improving the technology of DSM-method of plausible reasoning are given.

The article discusses the issues related to the modeling of the processes of formation and management of team work, including the parameters of a single creative field of project teams. A brief analysis of the existing social situation and models used in social research is given, their strengths and weaknesses are considered. A short list of sociological methodological approaches, theoretical and methodological tools is given. The results of specific socio-psychological experiments related to the formation and evaluation of the parameters of a single creative field are presented. A system of statistical, dynamic/simulation and expert-analytical models of predictive analytics necessary for effective management of project teams is proposed, a brief description of its levels and their parameters is given. The authors carry out the quantification of the main parameters of a single creative field (organizational, cognitive and affective) of project teams. Suggestions for improving the technology of DSM-method of plausible reasoning are given.

predictive analyticsproject teamssystem of hierarchical modelsparameters of a single creative fieldstatistical nonlinear modelingartificial intelligence technologiesmethod of plausible reasoningquantification of parameterspredictive analyticsproject teamssystem of hierarchical modelsparameters of a single creative fieldstatistical nonlinear modelingartificial intelligence technologiesmethod of plausible reasoningquantification of parametersСписок литературыAlimov, Yu. V. (1980), Al`ternativnye metody matematicheskoy statistiki [Alternative methods of mathematical statistics], Znanie, Moscow, Russia. (In Russian).Anshakov, O. M. and Fabrikantova, B. F. (2009), DSM-metod avtomaticheskogo porozhdeniya gipotez: Logicheskie i epistemologicheskie osnovaniya [DSM-method of automatic generation of hypotheses: Logical and epistemological grounds], in Anshakov, O. M. (ed.), Knizhny dom «LIBROKOM», Moscow, Russia. (In Russian).Zaretskiy, V. K. (2011), Esli situatsiya kazhetsya nerazreshimoy [If the situation seems unsolvable], 2-izd, Forum, Moscow, Russia. (In Russian).Malkov, S. Yu., Korotaev, A. V., Isaev, L. M., Kuz`minova, E. V. (2013), “On the methodology of assessment of the current state and forecast of social instability: the experience of quantitative analysis of the Arab spring events”, Polis, 3. (In Russian).Manovich, L. (2017), Teorii soft-kul`tury [The theory of soft culture], Krasnaya lastochka, Nizhny Novgorod, Russia. (In Russian).Mixeev, V. A., Fedotova, M. A. and Shevy`ryov, A. V. (2013), “Working team as a network structure inducing a single creative field”, E`konomicheskie strategii, 5 (113), 64-67. (In Russian).Mikheev, V. A. and Shevyryov, A. V. “Unified creative field as a meta-condition for team creativity”, Problemy upravleniya v real`nom sektore `konomiki: v`zov` modernizatsii: materialy mezhdunarodnoy nauchno-prakticheskoy konferentsii [Problems of management in the real sector of the economy: challenges of modernization: materials of the international scientific-practical conference], Moscow, Russia, 191-195. (In Russian).Saati, T. L. (2008), Prinyatie resheniy pri zavisimostyakh i obratnykh svyazyakh: analiticheskie seti [Decision making with dependence and feedbacks: analytical network], LKI, Moscow, Russia. (In Russian).Sadovnichiy, V. A., Akaev, A. A., Korotaev, A. V., and Malkov, S. Yu. (2012), Modelirovanie i prognozirovanie mirovoy dinamiki [Modeling and forecasting of global dynamics], ISPI RAN, Moscow, Russia. (In Russian).Shevyryov, A. V. (2007), Kreativny menedzhment: sinergeticheskiy podkhod [Creative management: a synergetic approach], LitKaraVan, Belgorod, Russia. (In Russian).Shevyryov, A. V., Mikheev, V. A., Shalamova, N. G. and Fedotova, M. A. (2016), Sistemnaya analitika v upravlenii. Vvedenie v nauchno-issledovatel`skuyu programmu [System analytics in management. Introduction to the research program], in Shevyryov, A. V. (ed.), LitKaraVan, Belgorod, Russia. (In Russian).