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使用多重对应分析对新冠疫情对尼日利亚工人生产力的影响分析

Impact analysis of COVID-19 on Nigerian workers' productivity using multiple correspondence analysis.

作者信息

Sakpere Wilson, Sakpere Aderonke Busayo, Olanipekun Ifedolapo, Simon Yaya OlaOluwa

机构信息

Lead City University, Ibadan, Nigeria. (Contribution: Study design, Data collection, Statistical analysis, Data interpretation, Manuscript preparation, Literature search).

University of Ibadan, Nigeria. (Contribution: Study design, Data collection, Statistical analysis, Data interpretation).

出版信息

Sci Afr. 2023 Jun 26:e01780. doi: 10.1016/j.sciaf.2023.e01780.

DOI:10.1016/j.sciaf.2023.e01780
PMID:38620132
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10291860/
Abstract

As the COVID-19 pandemic became a global health concern, many business activities have had to adjust to the protocols required to keep people safe, thereby altering the work structures of many professionals. With data gathered from 466 respondents in Nigeria, of which approximately 70% are from the South-West, this study shows how the factors associated with the health crisis have affected work productivity during this period. The snowball survey research design techniques with the two-way interaction model were employed. Multiple Correspondence Analysis was used to analyse and understand multiple and pairwise qualitative factors that influence productivity. The first part of the analysis identified boredom, remuneration, internet availability, fear of COVID-19 and depressing news of COVID-19 as the factors that had significant impacts on workers' productivity. The second part of the analysis shows how the categories of the five significant factors were either associated or not with productivity. An analysis of each of these factors showed that fear of the disease was associated with slight productivity but access to internet facilities and remuneration were strongly associated with improved work productivity, while boredom and depressing news about COVID-19 were associated with non-productivity during this period. Further evidence also showed that training and new skills acquisition might improve workers' productivity much more. We, therefore, recommend dynamic skills acquisition, training, and investment in tools and services that will enhance flexibility with the changing work structure that comes because of global crises.

摘要

随着新冠疫情成为全球关注的健康问题,许多商业活动不得不调整以适应保障人们安全所需的协议,从而改变了许多专业人士的工作结构。通过收集尼日利亚466名受访者的数据(其中约70%来自西南部),本研究展示了与健康危机相关的因素在此期间是如何影响工作效率的。采用了具有双向交互模型的滚雪球式调查研究设计技术。多元对应分析用于分析和理解影响生产力的多个和两两定性因素。分析的第一部分确定无聊、薪酬、网络可用性、对新冠病毒的恐惧以及新冠病毒的负面新闻是对员工生产力有重大影响的因素。分析的第二部分展示了这五个重要因素的类别与生产力之间的关联情况。对这些因素的逐一分析表明,对疾病的恐惧与轻微的生产力相关,但网络设施的使用和薪酬与工作效率的提高密切相关,而无聊和关于新冠病毒的负面新闻在此期间与非生产力相关。进一步的证据还表明,培训和新技能的获取可能会更大程度地提高员工的生产力。因此,我们建议进行动态的技能获取、培训,并投资于工具和服务,以增强因全球危机而产生的不断变化的工作结构的灵活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e966/10291860/37025177f804/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e966/10291860/13181a23a822/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e966/10291860/37025177f804/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e966/10291860/13181a23a822/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e966/10291860/37025177f804/gr2_lrg.jpg

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本文引用的文献

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Investigating the transmission dynamics of SARS-CoV-2 in Nigeria: A SEIR modelling approach.尼日利亚严重急性呼吸综合征冠状病毒2(SARS-CoV-2)传播动力学研究:一种易感-暴露-感染-康复(SEIR)模型方法
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新冠疫情期间居家办公:对上班族生产力和工作体验的影响。
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Pandemic programming: How COVID-19 affects software developers and how their organizations can help.疫情期间的规划:新冠疫情如何影响软件开发人员以及他们的组织如何提供帮助。
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Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic.两极分化与公共卫生:新冠疫情期间社会 distancing 方面的党派差异。 (注:这里“social distancing”常见释义为“社交距离” ,但原文中该词似乎有误,可能是“social distancing measures”之类表述会更准确,直接翻译的话就是“社会距离” )
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