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Dataset on performance management systems' design in project-based organizations

This data article presents the supplementary material for the paper “A configurational explanation for performance management systems' design in project-based organizations” [1]. The article introduces a dataset on 15 project-based organizations (PBOs) in the management consulting industry in t...

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Detalles Bibliográficos
Autores principales: de Rooij, Mariska M.G., Mannak, Remco S., Janowicz-Panjaitan, Martyna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661388/
https://www.ncbi.nlm.nih.gov/pubmed/31384638
http://dx.doi.org/10.1016/j.dib.2019.104185
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author de Rooij, Mariska M.G.
Mannak, Remco S.
Janowicz-Panjaitan, Martyna
author_facet de Rooij, Mariska M.G.
Mannak, Remco S.
Janowicz-Panjaitan, Martyna
author_sort de Rooij, Mariska M.G.
collection PubMed
description This data article presents the supplementary material for the paper “A configurational explanation for performance management systems' design in project-based organizations” [1]. The article introduces a dataset on 15 project-based organizations (PBOs) in the management consulting industry in the Netherlands. The dataset includes organization-level conditions at PBOs, such as perceived environmental uncertainty, organizational size, innovation strategy, opportunity strategy, and performance management system design. The dataset is prepared for a fuzzy-set Qualitative Comparative Analysis (fsQCA). Combinations of conditions are expected to be related to a mechanistic or an organic performance management system design. This article includes the original dataset with quantitative scores and a qualitative motivation for each score, calibrated data, and fsQCA truth tables.
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spelling pubmed-66613882019-08-05 Dataset on performance management systems' design in project-based organizations de Rooij, Mariska M.G. Mannak, Remco S. Janowicz-Panjaitan, Martyna Data Brief Business, Management and Accounting This data article presents the supplementary material for the paper “A configurational explanation for performance management systems' design in project-based organizations” [1]. The article introduces a dataset on 15 project-based organizations (PBOs) in the management consulting industry in the Netherlands. The dataset includes organization-level conditions at PBOs, such as perceived environmental uncertainty, organizational size, innovation strategy, opportunity strategy, and performance management system design. The dataset is prepared for a fuzzy-set Qualitative Comparative Analysis (fsQCA). Combinations of conditions are expected to be related to a mechanistic or an organic performance management system design. This article includes the original dataset with quantitative scores and a qualitative motivation for each score, calibrated data, and fsQCA truth tables. Elsevier 2019-06-27 /pmc/articles/PMC6661388/ /pubmed/31384638 http://dx.doi.org/10.1016/j.dib.2019.104185 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Business, Management and Accounting
de Rooij, Mariska M.G.
Mannak, Remco S.
Janowicz-Panjaitan, Martyna
Dataset on performance management systems' design in project-based organizations
title Dataset on performance management systems' design in project-based organizations
title_full Dataset on performance management systems' design in project-based organizations
title_fullStr Dataset on performance management systems' design in project-based organizations
title_full_unstemmed Dataset on performance management systems' design in project-based organizations
title_short Dataset on performance management systems' design in project-based organizations
title_sort dataset on performance management systems' design in project-based organizations
topic Business, Management and Accounting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661388/
https://www.ncbi.nlm.nih.gov/pubmed/31384638
http://dx.doi.org/10.1016/j.dib.2019.104185
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