弹性工作安排对肯尼亚西部部分公立大学非教学人员绩效的影响

Lily Mugove Andeyo, Willis Otuya, Gordon Misigo
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摘要

在全球范围内,工作场所在为员工实施灵活的工作安排方面面临着诸多挑战,导致员工倦怠、不满、压力和绩效低下。一般来说,组织必须制定既能留住员工又能提高绩效的战略。在当前确保员工绩效的数字技术创新中,可塑性工作安排已变得非常重要。具体而言,本研究评估了弹性工作安排对肯尼亚西部部分公立大学非教学员工绩效的影响。研究采用弹性工作时间和工作共享作为衡量标准,并以溢出效应和社会交换这两个理论为基础。研究采用了实证主义哲学研究方法。研究采用了横截面调查研究设计。目标人群为 3538 人,采用了分层随机抽样技术。根据 Yamane 公式计算出的样本量为 343 名受访者。调查问卷和访谈表被用作收集工具。在埃尔多雷特大学进行了试点研究。Cronbach's alpha 检验了工具的可靠性。使用内容分析法和专家判断法检验了有效性。数据使用 SPSS 27 版进行分析。使用了描述性统计--频率、百分比、平均值和标准偏差,以及推论性统计--皮尔逊相关性和回归分析。采用内容分析和专家判断对访谈数据进行了分析。研究结果表明,弹性工作安排与绩效之间存在明显的正相关关系(t 统计量=22.385,p 值=0.001< 0.05)。研究建议公立大学和政府接受灵活的工作安排,并制定政策以保障公立雇员和其他公司的利益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Flexible Work Arrangements on Employee Performance among Non-Teaching Employees in Selected Public Universities, Western Kenya
Globally, workplaces face numerous challenges in enforcing flexible work arrangements for their employees, leading to burnout, dissatisfaction, stress, and poor performance. Generally, organizations have to develop strategies that retain attract, and improve performance. Malleable work arrangements have become significant in the current digital technology innovation ensuring employee performance. Specifically, the study assessed the effects of flexible work arrangements and performance among non-teaching employees in selected public universities in Western Kenya. Flexi-time and job sharing were used as construct measures and two theories: spill-over and social exchange were anchored. The study embraced philosophical research into positivism. The study used a cross-section survey research design. The target population was 3538, where stratified random sampling techniques were exploited. The Yamane’s formula calculated a sample size of 343 respondents. The questionnaire and interview schedule were utilized as collection instruments. A pilot study was examined at the University of Eldoret. A Cronbach’s alpha tested the reliability of instruments. Validity was tested using content analysis and expert Judgment validity. Data was analyzed using SPSS version 27. Descriptive statistics - frequencies, percentages, means, and standard deviations- and inferential statistics - Pearson’s correlation and regression analysis- were used. Interview data was analyzed using content analysis and expert judgment. The findings of the study disclosed a strong positive evident relationship between flexible work arrangements and performance (t-statistic=22.385, p-value=0.001< 0.05). The study recommends that public universities and governments embrace flexible work arrangements and develop policies to safeguard public employees and other companies.
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