Application of artificial intelligence methods to the study and analysis of the causes of employee turnover at enterprises

• Autorzy: Ryazantseva N.

Warianty tytułu

RU

Primenenie metod iskustvennogo intellekta dlja issledovanija i analiza prichin tekuchesti kadrov na predprijatijakh

• Języki publikacji: EN

Abstrakty

EN

RU

Słowa kluczowe

EN

artificial intelligence; analysis; employee turnover; enterprise; personnel; Kohonen network; personnel policy; decision making; mathematical model

• Wydawca: -
• Czasopismo: Teka Komisji Motoryzacji i Energetyki Rolnictwa
• Rocznik: 2014
• Tom: 14
• Numer: 2
• Opis fizyczny: p.127-137,fig.,ref.

Twórcy

autor

Ryazantseva N.

• Volodymyr Dahl East-Ukrainian National University, Molodizhny bl. 20а, Lugansk, 91034, Ukraine

Bibliografia

• 1. Bessmertnyy I.A., 2010.: Artificial Intelligence, St. Petersburg: St. Petersburg State University of Information Technologies, 132. (in Russian).
• 2. Demyn I. S., 2011.: Clustering as a tool for data mining, New Information Technologies in Education. Part 1, M: C-1 Publishing. (in Russian).
• 3. Dibnis G.I., 2010.: The problem of administration for industrial enterprises, ТЕKA. Commission of Motorization and energetics in agriculture -2010, Vol. 10, No. 10, 101-106.
• 4. [Digital resource] - / http://www.basegroup.ru
• 5. [Digital resource]- /http://www.neuropro.ru/memo32.shtml
• 6. [Digital resource] - /http://efsol.ru/articles/staff- turnover.html
• 7. Nikiforov L., 2010.: Analyze turnover of staff, and you will learn a lot about a company, Recruitment business No. 2. (in Russian).
• 8. Novikov D.A., 2007.: Control theory of organizational systems, Moscow: Fizmatlit, 250. (in Russian).
• 9. Novikov D.A., 2008.: Mathematical model for building and operating instructions, Moscow: Publishing House of Physical and Mathematical Literature, 184. (in Russian).
• 10. Paklin H. B., Oreshkov V.I., 2004.: Business intelligence: from data to knowledge: studies. Allowance, Peter, 355. (in Russian).
• 11. Plastinina N., 2011.: Employee turnover: Causes and Consequences, WAY out of the situation, Personnel. Employment Law for HR manager, No. 4. (in Russian).
• 12. Pink D., 2014.: How Much Does Money Motivate Us? http://www.npr.org/2014/04/04/295368808/how-much-does-moneymotivate-us
• 13. Pink D., 2014.: To sell is Human, http://www.danpink.com
• 14. Rykov A.S., 2009.: Models and methods of system analysis: decision-making and optimization, MISA, 206. (in Russian).
• 15. Ramazanov S.K., Vіtkova T.O., 2012.: Modern innovative technology - the main resource efficient operation of economic entities, Businessinform, Kharkov, No. 4, 81-83. (in Russian).
• 16. Sieriebriak K., 2012.: Information Technologies in Ukraine:problems and obstacles, ТЕKA. Commission of Motorization and energetics in agriculture -2012 , Vol. 2, No. 3, 128-135.
• 17. Statute of company " Ahrotsentrnauka ", 2011.: (in Ukrainian).
• 18. Whistleblowers V., 2009.: Modern approaches to the assessment of staff turnover, Personnel Officer. Personnel management, No. 6, 211-226.
• 19. Yehorshyn A.P., ZaitsevA.K., 2008.: Labour Organization Staff. Handbook, Moscow, 74. (in Russian).
• 20. Zubov D., Ulshin U., 2010.: Analogue complexing algoritms usage in DATA MINING. ТЕKA. Commission of Motorization and energetics in agriculture -2010, Vol. 10, No. 10, 81-90.