Survey data on work environments and productivity of academic staff of selected public universities in Nigeria

The article presented a survey data on work environment predictors and productivity of selected academic staff of selected public universities in Southern, Nigeria. The study adopted a quantitative approach with a survey research design to establish the major determinants of work environments in the...

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Autores principales: Salau, Odunayo, Worlu, Rowland, Osibanjo, Adewale, Adeniji, Anthonia, Oludayo, Olumuyiwa, Falola, Hezekiah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Business, Management and Accounting
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141789/
https://www.ncbi.nlm.nih.gov/pubmed/30246086
http://dx.doi.org/10.1016/j.dib.2018.06.074
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author Salau, Odunayo
Worlu, Rowland
Osibanjo, Adewale
Adeniji, Anthonia
Oludayo, Olumuyiwa
Falola, Hezekiah
author_facet Salau, Odunayo
Worlu, Rowland
Osibanjo, Adewale
Adeniji, Anthonia
Oludayo, Olumuyiwa
Falola, Hezekiah
author_sort Salau, Odunayo
collection PubMed
description The article presented a survey data on work environment predictors and productivity of selected academic staff of selected public universities in Southern, Nigeria. The study adopted a quantitative approach with a survey research design to establish the major determinants of work environments in the selected public universities. Data was analysed with the use of structural equation modelling and the field data set is made widely accessible to enable critical or a more comprehensive investigation. The findings identified meaningful work and growth opportunities as predictive factors for maximizing productivity in the sampled institutions.
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spelling pubmed-61417892018-09-21 Survey data on work environments and productivity of academic staff of selected public universities in Nigeria Salau, Odunayo Worlu, Rowland Osibanjo, Adewale Adeniji, Anthonia Oludayo, Olumuyiwa Falola, Hezekiah Data Brief Business, Management and Accounting The article presented a survey data on work environment predictors and productivity of selected academic staff of selected public universities in Southern, Nigeria. The study adopted a quantitative approach with a survey research design to establish the major determinants of work environments in the selected public universities. Data was analysed with the use of structural equation modelling and the field data set is made widely accessible to enable critical or a more comprehensive investigation. The findings identified meaningful work and growth opportunities as predictive factors for maximizing productivity in the sampled institutions. Elsevier 2018-06-28 /pmc/articles/PMC6141789/ /pubmed/30246086 http://dx.doi.org/10.1016/j.dib.2018.06.074 Text en © 2018 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
Salau, Odunayo
Worlu, Rowland
Osibanjo, Adewale
Adeniji, Anthonia
Oludayo, Olumuyiwa
Falola, Hezekiah
Survey data on work environments and productivity of academic staff of selected public universities in Nigeria
title Survey data on work environments and productivity of academic staff of selected public universities in Nigeria
title_full Survey data on work environments and productivity of academic staff of selected public universities in Nigeria
title_fullStr Survey data on work environments and productivity of academic staff of selected public universities in Nigeria
title_full_unstemmed Survey data on work environments and productivity of academic staff of selected public universities in Nigeria
title_short Survey data on work environments and productivity of academic staff of selected public universities in Nigeria
title_sort survey data on work environments and productivity of academic staff of selected public universities in nigeria
topic Business, Management and Accounting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141789/
https://www.ncbi.nlm.nih.gov/pubmed/30246086
http://dx.doi.org/10.1016/j.dib.2018.06.074
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