Business in Law Issue №2 — 2015

PROSPECTS FOR INCREASING PRODUCTIVITY IN HIGH-TECH COMPANIES: FORECASTING MODELS
( Pp. 269-273)

Baked Ludmila T. Domarev Ivan E. Gavrilova Svetlana V.

Baked Ludmila T. d-r ekon. nauk, professor kaf. «Upravlenie chelovecheskimi resursami»
FSBEI HPE "Moscow state University of Economics, statistics and Informatics" Domarev Ivan E. kand. ekon. nauk, st. prepodavatel kaf. «Upravlenie chelovecheskimi resursami»
FSBEI HPE "Moscow state University of Economics, statistics and Informatics" Gavrilova Svetlana V. docent kaf. «Upravlenie chelovecheskimi resursami»
FSBEI HPE "Moscow state University of Economics, statistics and Informatics"

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Abstract:

This paper justifies the procedural approach to the forecast of labour productivity in high-tech companies and introduces the model of increasing labour productivity in terms of various estimated indicators. The author suggests the algorithm of predicting dynamics of labour productivity, defines the core directions of improving labour productivity as well as the measures of state support and organizational and technical activities which are recommended to the high-tech companies

How to Cite:

Baked L.T., Domarev I.E., Gavrilova S.V., (2015), PROSPECTS FOR INCREASING PRODUCTIVITY IN HIGH-TECH COMPANIES: FORECASTING MODELS. Business in Law, 2 => 269-273.

Reference list:

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Keywords:

Productivity, high-tech companies, forecast, factors of influence, innovation.

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