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A Multifactor Small Business Management Model

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1083))

Abstract

The previously existing system of industrial development USSR was aimed at the construction of industries and the arrangement of cities around them. Such cities, which have one or several city-forming enterprises, are called “monotowns”. A monotown is a complex structure in which the town and the city-forming enterprises are closely related. The constructed multifactor dynamic model in the article allows to organize the process of managing a small business by influencing all of its microindicators using the monotown’s mesoindicators. This approach lets the municipality at every moment influencing indicators of small business with its socio-economic indicators, contribute to the sustainable development of the urban economy.

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References

  1. Manaeva, I., Kanishteva, A.: Estimation of factors for social and economic inequality of Russia’s towns. Reg. Sci. Inq. 9(2), 147–158 (2017)

    Google Scholar 

  2. Manaeva, I., Rastvortseva, S.: Zipf’s law as assessment tool of urban inequality. Reg. Sci. Inq. 8(3), 19–30 (2016)

    Google Scholar 

  3. Antonova, I.S., Koptelova, K.S., Popova, S.N., Negodina, O.A., Spitsina, L.Yu., Vavilov, D.D.: Investment attractiveness of closed-end real estate investment funds in Russia: factor score evaluation. In: Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016) 2016, pp. 904–907 (2016)

    Google Scholar 

  4. Antonova, I.S.: Diversification infrastructure of Russian company towns. In: The European Proceedings of Social & Behavioural Sciences III International Scientific Symposium, pp. 28–36. National Research Tomsk Polytechnic University (2017)

    Google Scholar 

  5. Kuznetsov, B.L., Kuznetsova, S.B., Zagitov, I.L.: Economic synergetics: answer to the challenges of the 21st century. Econ. Soc. 2(11), 850 (2014)

    Google Scholar 

  6. Korshunov, I.V., Shmatko, A.D., Solovjeva, N.L.: The development of Russian single-industry towns of the industrial regions of Russia: problems and trends. Econ. Bus. 11–3(76), 528–530 (2016)

    Google Scholar 

  7. Zubarevich, N.: Russian agglomerations: trends, resources, and governability. Soc. Sci. 48(4), 66–80 (2017)

    Google Scholar 

  8. Bruening, R.A., Strazza, K., Nocera, M., Peek-Asa, C., Casteel, C.: Understanding the small business engagement in violence prevention programs. Am. J. Health Promot. 30, 83–91 (2015). https://doi.org/10.4278/ajhp.140221-QUAL-80

    Article  Google Scholar 

  9. Hirschman, A.O.: Development Projects Observed, p. 68. Brookings Institution Press, Washington, DC (2011)

    Google Scholar 

  10. Vazhdaev, A., Mitsel, A., Grigoryeva, M.: The relationship of city and small business economic parameters. In: Proceedings of the IV International Research Conference Information Technologies in Science, Management, Social Sphere and Medicine, vol. 72, pp. 1–4 (2017). http://doi.org/10.2991/itsmssm-17.2017.1

  11. Konnov, A.I., Krotov, V.F.: On the global methods of successive improvement of controllable processes. Autom. Remote Control 60, 1427 (1999)

    MATH  Google Scholar 

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Correspondence to Andrey N. Vazhdaev or Artur A. Mitsel .

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Vazhdaev, A.N., Mitsel, A.A. (2019). A Multifactor Small Business Management Model. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1083. Springer, Cham. https://doi.org/10.1007/978-3-030-29743-5_16

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  • DOI: https://doi.org/10.1007/978-3-030-29743-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29742-8

  • Online ISBN: 978-3-030-29743-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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