在线和现场条件下员工工作绩效的预测因素:结合使用 PLS-SEM 和 NCA

IF 1.4 4区 经济学 Q3 ECONOMICS
Popa Ion, Ștefan Simona Cătălina, Olariu Ana Alexandra, Breazu Andreea, Cioc Marian Mihai
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引用次数: 0

摘要

.各组织目前正面临着一些问题,其中一些问题是由 COVID-19 大流行病的后果引起的,它改变了员工履行职责的方式。由于人力资源对每个组织的发展都至关重要,因此组织必须找到最有效的策略来提高员工的工作绩效。本研究旨在评估信息资源、工作条件和员工能力对员工工作绩效的影响程度。此外,研究重点还包括这些变量之间的关系是如何根据员工是在线还是现场履行职责而表现出来的。本研究采用调查的方式收集数据,并结合 PLS-SEM 技术和必要条件分析法(NCA)对数据进行分析。样本包括 347 名在罗马尼亚公司从事在线或现场工作的受访者。主要研究结果表明,无论员工是在线工作还是现场工作,员工的能力和组织的信息资源都会对员工的工作绩效产生积极而显著的影响,而工作条件则没有显著影响。此外,研究结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors of Employees' Work Performance in Online and On-Site Conditions: A Combined use of PLS-SEM and NCA
. Organisations are currently facing several problems, some of which are driven by the consequences of the COVID-19 pandemic, which has changed the way employees perform their duties. Because human resources are critical to the growth of each organisation, it is important that they find the most effective strategies to improve their employees' work performance. This study aims to assess the extent to which information resources, work conditions, and employee competencies influence the work performance of their employees. Additionally, research focuses on how the relationships between these variables manifest themselves depending on whether employees performed their duties online or on-site. To collect data for this study, a survey was used, and the data was analysed using a combined PLS-SEM technique and necessary conditions analysis (NCA). The sample consisted of 347 respondents who worked online or on-site in Romanian companies. The main findings highlighted that regardless of whether employees worked online or on site, both the employees' competencies and organisational informational resources positively and significantly influenced employees' work performances, while work conditions had no significant effect. Furthermore, the findings
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来源期刊
Economic Computation and Economic Cybernetics Studies and Research
Economic Computation and Economic Cybernetics Studies and Research MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.80
自引率
22.20%
发文量
60
审稿时长
>12 weeks
期刊介绍: ECECSR is a refereed journal dedicated to publication of original articles in the fields of economic mathematical modeling, operations research, microeconomics, macroeconomics, mathematical programming, statistical analysis, game theory, artificial intelligence, and other topics from theoretical development to research on applied economic problems. Published by the Academy of Economic Studies in Bucharest, it is the leading journal in the field of economic modeling from Romania.
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