Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/297526 
Year of Publication: 
2020
Citation: 
[Journal:] Contemporary Economics [ISSN:] 2300-8814 [Volume:] 14 [Issue:] 2 [Year:] 2020 [Pages:] 236-253
Publisher: 
University of Finance and Management in Warsaw, Faculty of Management and Finance, Warsaw
Abstract: 
The literature has been inconclusive regarding which factors determine knowledge worker productivity. To remedy that gap, this paper presented an online experiment to measure the productivity of software programmers, as a representative of knowledge workers, in a particular situation when a more aligned with the work process IT system is used. The assumed research model was based on the systems approach of complementarity theory and combined the following factors: worker's cognitive style, work process, decision-making authority, worker training mode, and worker incentive. The experiment was conducted for 4 months and attracted 110 participants with innovative cognitive style from two crowdsourcing platforms. The results demonstrate that complementarities condition the productivity of a knowledge worker. More specifically, the learning effect is crucial for productivity gains and should be considered in further detail in the design of new studies. The paper's key contribution is the test of a unique configuration of two systems of complementary factors, because most of the literature has investigated only the impact of particular factors in isolation.
Subjects: 
complementarity theory
individual productivity
knowledge worker
online experiment
software programmer
JEL: 
C90
M15
O33
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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