Influence of strategic human resource management practices on performance of parastatals in Kenya
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Date
2014-10-30
Authors
Kiiru, David Muraga
Journal Title
Journal ISSN
Volume Title
Publisher
Kenyatta University
Abstract
Worldwide, the public sector plays a central role in any country's socio-economic development.
The sector has however been affected by globalization, public sector reforms, regional and
international partnerships, climate change, Information, Communication and Technology and
Human Resource Development, among other factors. In an increasingly changing global
environment, the mandate, structure and operations of public sector must be reshaped and
productivity enhanced to make it more focused, efficient and responsive to the needs of those it
serves. TIllSresearch seeks to examine the extent to which strategic human resource management
practices influence performance of Parastatal organizations in Kenya. Its specific objectives are
to establish the relationship between strategic human resource management practices and
organizational performance, examine the relationship between strategic human resource
management practices and human resource capabilities, determine the relationship between
human resource capabilities and organizational performance and to assess the extent to which
public sector culture influence on the relationship between strategic human resource
management and organizational performance. The philosophical foundation of the study will be
positivism while the research design will be descriptive cross-sectional survey research design.
The study population will comprise all 185 Parastatals in Kenya as outlined by the report of the
presidential taskforce on para statal reforms of 2013. Self administered questionnaires will be
used to collect data from three senior managers in areas of human resource management,
strategy/operations and finance in each of these parastatals as they are assumed to be
knowledgeable in the areas under study. Descriptive statistics such as mean scores, standard
deviations, percentages, and frequency distribution will be computed to describe the
characteristics of the variables of interest in the study while inferential statistics such as
correlation, regression techniques will be used to establish the nature and magnitude of the
relationships between the variables and to test the hypothesized relationships. Assessment of the
model's underlying statistical assumptions will be conducted these will include tests for
Normality, Homoscedasticity and Multicollinearity.