Knowledge work productivity is a well-studied topic in the existing literature, but it has focussed mainly on two things. First, there are many theoretical models lacking empirical research, and second, there is a very specific research regarding how something impacts productivity. The purpose of this paper is to collect empirical data and test the conceptual model of knowledge work productivity in practice. The paper also provides information on how different drivers of knowledge work productivity have an impact on productivity.,Through the survey method, data were collected from 998 knowledge workers from Finland. Then, confirmatory factor analysis was conducted to confirm the knowledge work productivity dimensions of the conceptual model. Later, regression analysis was used to analyse the impacts of knowledge factors on productivity.,This paper increases the understanding of what matters for knowledge work productivity, with statistical analysis. The conceptual model of knowledge work productivity consists of two major elements: the knowledge worker and the work environment. The study results showed that the knowledge worker has the biggest impact on productivity through his or her well-being and work practices. The social environment was also found to be a significant driver. The results could not confirm or refute the role of the physical or virtual environment in knowledge work productivity.,The practical value of the study lies in the analysis results. The information generated about the factors impacting productivity can be used to improve knowledge work productivity. In addition, the limited resources available for organisational development will have the greatest return if they are used to increase intangible assets, i.e., management and work practices.,While it is well known that many factors are essential for knowledge work productivity, relatively few studies have examined it from as many dimensions at the same time as this study. This study adds value to the literature by providing information on which factors have the greatest influence on productivity.

中文翻译：

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什么对知识工作生产率重要？

在现有文献中，知识工作生产率是一个经过充分研究的主题，但它主要集中在两件事上。首先，有许多理论模型缺乏实证研究，其次，关于某物如何影响生产率的研究非常具体。本文的目的是收集经验数据，并在实践中测试知识工作生产率的概念模型。本文还提供了有关知识驱动生产力的不同驱动因素如何影响生产力的信息。通过调查方法，数据来自芬兰的998位知识工作者。然后，进行验证性因素分析以确认概念模型的知识工作生产率维度。后来，使用回归分析来分析知识因素对生产率的影响。本文通过统计分析增加了对知识工作效率重要的理解。知识工作生产率的概念模型由两个主要元素组成：知识工作者和工作环境。研究结果表明，知识型员工的福利和工作实践对生产力产生最大的影响。人们还发现社会环境是重要的推动力。结果无法证实或反驳物理或虚拟环境在知识工作生产率中的作用。研究的实际价值在于分析结果。有关影响生产力的因素的信息可以用来提高知识工作的生产力。此外，如果用于发展无形资产（即管理和工作实践）的有限的组织发展资源将获得最大的回报。虽然众所周知，许多因素对于知识工作的生产率至关重要，但很少有研究对其进行过研究。与本研究同时进行。通过提供有关哪些因素对生产率影响最大的信息，这项研究为文献增加了价值。