Capturing non-linear temporally embedded processes in organizations using recurrence quantification analysis

Research article (European Journal of Work and Organizational Psychology, 2019) · cited 13× · AI/ML
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Capturing non-linear temporally embedded processes in organizations using recurrence quantification analysis

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Capturing non-linear temporally embedded processes in organizations using recurrence quantification analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Capturing non-linear temporally embedded processes in organizations using recurrence quantification analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/capturing-non-linear-temporally-embedded-processes-in-organizations-using-recurrence-quantification-analysis
MLA “Capturing non-linear temporally embedded processes in organizations using recurrence quantification analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/capturing-non-linear-temporally-embedded-processes-in-organizations-using-recurrence-quantification-analysis.
BibTeX @misc{4ortxyz_capturing-non-linear-temporally-embedded-processes-in-organizations-using-recurrence-quantification-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Capturing non-linear temporally embedded processes in organizations using recurrence quantification analysis}}, year = {2026}, url = {https://4ort.xyz/entity/capturing-non-linear-temporally-embedded-processes-in-organizations-using-recurrence-quantification-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Capturing non-linear temporally embedded processes in organizations using recurrence quantification analysis — https://4ort.xyz/entity/capturing-non-linear-temporally-embedded-processes-in-organizations-using-recurrence-quantification-analysis (retrieved 2026-05-24)

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