根据岗位细分的特点进行择优选择,在每个员工群体中进行有效的机会激励

Q1 Decision Sciences
Mónika Garai-Fodor, Laszlo Vasa, K. Jäckel
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引用次数: 3

摘要

除了经济挑战,雇主们还面临着日益扩大的代沟。在价值观、心态和偏好方面存在显著差异的几代人需要在工作场所得到有效管理,这需要复杂的解决方案。在本文中,我们介绍了我们的初步研究的子结果。在定量程序中,我们采用随机抽样的方法进行了预测试的标准化问卷在线调查,共获得1146份可评估问卷。用描述性统计来评价本研究的结果。采用描述性统计、双变量和多变量分析来处理定量结果,以检验提出的假设。本研究的主要重点是调查影响员工工作选择的因素,并分析其偏好系统的结构。研究的结果是,我们能够根据工作选择的偏好系统识别出不同的集群。在结果细分的背景下,我们还分析了哪些激励工具可以最有效地鼓励更高的绩效。我们相信,我们的研究通过强调如何在工作选择方面区分员工池以及如何对特定部分应用有效的激励措施,对实践具有有益的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of segments according to the preference system for job selection, opportunities for effective incentives in each employee group
In addition to economic challenges, employers are also facing a growing generation gap. Generations that are significantly different in terms of values, mindsets and preferences need to be effectively managed in a workplace, which requires complex solutions. In this paper we present sub results of our primary research. In a quantitative procedure, we conducted a pre-tested standardized questionnaire online survey with random sample making method, resulting in 1146 evaluable questionnaires. Descriptive statistics to evaluate the results presented in this study. Descriptive statistics, and bivariate and multivariate analyses were applied to process the quantitative results, to test the hypotheses put forward. The main focus of our research is to investigate the factors that influence employees' choice of jobs, and we analyzed the structure of their preference system. As a result of the research, we were able to identify distinct clusters according to the preference system of job selection. In the context of the resulting segments, we also analyzed which motivational tools could be most effective in encouraging higher performance. We believe that our research has useful implications for practice, by highlighting how to differentiate the pool of employees in terms of job choice and how to apply effective incentives to a specific segment.
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来源期刊
Decision Making Applications in Management and Engineering
Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences
CiteScore
14.40
自引率
0.00%
发文量
35
审稿时长
14 weeks
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