肯尼亚内罗毕县制造业中小企业指令性领导风格与绩效研究

Lucy Atieno Ochieng, J. Koshal, Scott Bellows
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摘要

本研究旨在探讨指示型领导风格对肯尼亚奈洛比县制造型中小企业(SMEs)组织绩效的影响。采用实证主义研究哲学和描述性相关研究设计。目标人口包括内罗毕地区肯尼亚制造商协会上市成员的425家中小企业的经理/所有者。然后采用分层随机抽样技术从总人口中抽取369名经理/所有者的样本。数据收集采用自填问卷。二元逻辑回归(Cox和Snell R平方)显示,组织绩效的13.7%的概率可以用指示型领导风格来解释。参数估计结果显示,指令性领导风格对组织绩效有显著正向影响,β= 3.435, p = 0.000, p < 0.05。基于这些结果,否定了“指令性领导风格不影响内罗毕制造业中小企业组织绩效”的零假设。研究发现,指示型领导风格显著影响奈洛比县制造业中小企业的组织绩效。研究结果为制造业中小企业的所有者/管理者在使用指令性领导风格影响其组织绩效方面提供了新的见解。然而,鉴于各县在能力和人口结构方面的差异,该研究建议开展一项类似的研究,重点放在整个肯尼亚,使用纵向方法和其他数据分析方法,以提供对整个中小企业部门的新认识。
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Directive Leadership Style and Performance of Manufacturing Small and Medium Enterprises (SMES) in Nairobi County, Kenya
This study sought to examine the influence of directive leadership style on organizational performance of manufacturing Small and Medium Enterprises (SMEs) in Nairobi County, Kenya.  Positivism research philosophy and descriptive correlational research design were adopted.  The target population consisted of managers/owners from 425 SMEs listed members of the Kenya Association of Manufacturers in Nairobi Region. Stratified random sampling technique was then used to draw a sample size of 369 managers/owners from the total population. Data was collected using self-administered questionnaires.  Binary Logistic Regression (Cox and Snell R squared) revealed that 13.7 % of the probability of organizational performance was explained by directive leadership style. The parameter estimates results indicated that directive leadership style positively and significantly predicted organizational performance, β= 3.435, p = .000, p < 0.05. Based on these results the null hypothesis that “directive leadership style does not influence organizational performance in manufacturing SMEs in Nairobi” was rejected. The study concluded that directive leadership style significantly influenced organizational performance in manufacturing SMEs in Nairobi County. The findings provide new insights for owners/managers of manufacturing SMEs on use of directive leadership style to influence performance in their organizations. However, given the differences in capacity and demographics in various counties, the study recommends a similar study to be conducted with focus on Kenya at large using a longitudinal approach and other data analysis methods to provide new understanding of the SME sector as a whole.
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