Management Theory and Studies for Rural Business and Infrastructure Development, Volume 37, Number 4

Decision trees for hierarchical classification of the antecedents of normatively committed man power

Žaneta Kavaliauskienė

Abstract

Focusing on the critical solution of problematic human resource management situations (staff retention, outlook predictions, wages justification, etc.), nowadays agricultural company managers should perceive the antecedents of normatively committed man power as well as their hierarchical dependence. The mentioned hierarchy describes the nature and conditions of employee’s formal commitment to an organization; besides guarantees the validity of the appropriate leadership logic. Scientific problem statement – how to hierarchically classify the antecedents of an employee’s normative commitment. The research objective declared – practicing the Decision trees technique to reveal hierarchical dependence (according to the strongly normatively committed groups of respondents). The research methods applied: scientific literature analysis, synthesis and generalization, as well as exploratory and confirmatory analysis. The latter method identified the hierarchical interactions of the normatively committed man power antecedents. In this article outlined hierarchical interactions among antecedents of an employee’s normative commitment undoubtedly reveal organizational behaviors of individuals, therefore taking into account the strongest motivators of formal commitment are also recommended to be involved into human resource management practice of agricultural companies.

JEL Code M12.

Keyword(s): an employee’s commitment to an organization, normatyve commitment, Decision trees


Full Text: PDF



DOI: http://dx.doi.org/10.15544/mts.2015.42

Refbacks

  • There are currently no refbacks.
1187 views

Management Theory and Studies for Rural Business and Infrastructure Development eISSN 2345-0355

This journal is published under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License. Responsible editor: Dr Audrius Gargasas.