Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
STATISTICAL ANALYSIS OF THE ORGANIZATIONAL FACTORS INFLUENCE ON THE LABOR PRODUCTIVITY GROWTH: METHODICAL ISSUES
Form of presentationArticles in international journals and collections
Year of publication2017
Языканглийский
  • Grigoreva Ekaterina Anatolevna, author
  • Polovkina Elvira Anasovna, author
  • Bibliographic description in the original language Polovkina E.A., Grigoreva E.A. Statistical analysis of the organizational factors influence on the labor productivity growth: methodical issues // Journal of Fundamental and Applied Sciences. – Volume 9. – No 2S. – Special Issue. – 2017. – Pages 1108-1120.
    Annotation In article the attention is focused on methodical assessment issues of organizational factors influence on labor productivity growth in modern conditions of economic development. The productivity role of the social activities as one of the main criteria of the national economy efficiency is shown. In many spheres of economic activity increase in labor productivity is inseparably linked with use of electronic business technologies; in this regard the comprehensive analysis of the factors forming labor productivity level is necessary. A research objective is to assess a role of the labor productivity growth organizational factors which possess an important role in increase in production efficiency nowadays. At the same time the research of working hours by means of photos of the working day, a moment observations method and the made time observations is important. Correlation dependence of workers' labor productivity on factors of the work organization is revealed. The analysis of the indicators directed to organizational factors for the purpose of receiving the greatest gain of labor productivity is carried out.
    Keywords labor productivity, working hours, moment observations method, intra replaceable losses, photo of the working day, regression analysis, multiple correlation
    The name of the journal JOURNAL OF FUNDAMENTAL AND APPLIED SCIENCES
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=171499&p_lang=2

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