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Employee resourcing strategies and universities’ corporate image: A survey dataset

The data examined the effect of employee resourcing strategies on corporate image. The data were generated from a total of 500 copies of questionnaire administered to the academic staff of the six (6) selected private Universities in Southwest, Nigeria, out of which four hundred and forty-three (443...

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Autores principales: Falola, Hezekiah Olubusayo, Oludayo, Olumuyiwa Akinrole, Olokundun, Maxwell Ayodele, Salau, Odunayo Paul, Ibidunni, Ayodotun Stephen, Igbinoba, Ebe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996726/
https://www.ncbi.nlm.nih.gov/pubmed/29900318
http://dx.doi.org/10.1016/j.dib.2018.04.006
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author Falola, Hezekiah Olubusayo
Oludayo, Olumuyiwa Akinrole
Olokundun, Maxwell Ayodele
Salau, Odunayo Paul
Ibidunni, Ayodotun Stephen
Igbinoba, Ebe
author_facet Falola, Hezekiah Olubusayo
Oludayo, Olumuyiwa Akinrole
Olokundun, Maxwell Ayodele
Salau, Odunayo Paul
Ibidunni, Ayodotun Stephen
Igbinoba, Ebe
author_sort Falola, Hezekiah Olubusayo
collection PubMed
description The data examined the effect of employee resourcing strategies on corporate image. The data were generated from a total of 500 copies of questionnaire administered to the academic staff of the six (6) selected private Universities in Southwest, Nigeria, out of which four hundred and forty-three (443) were retrieved. Stratified and simple random sampling techniques were used to select the respondents for this study. Descriptive and Linear Regression, were used for the presentation of the data. Mean score was used as statistical tool of analysis. Therefore, the data presented in this article is made available to facilitate further and more comprehensive investigation on the subject matter.
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spelling pubmed-59967262018-06-13 Employee resourcing strategies and universities’ corporate image: A survey dataset Falola, Hezekiah Olubusayo Oludayo, Olumuyiwa Akinrole Olokundun, Maxwell Ayodele Salau, Odunayo Paul Ibidunni, Ayodotun Stephen Igbinoba, Ebe Data Brief Business, Management and Accounting    The data examined the effect of employee resourcing strategies on corporate image. The data were generated from a total of 500 copies of questionnaire administered to the academic staff of the six (6) selected private Universities in Southwest, Nigeria, out of which four hundred and forty-three (443) were retrieved. Stratified and simple random sampling techniques were used to select the respondents for this study. Descriptive and Linear Regression, were used for the presentation of the data. Mean score was used as statistical tool of analysis. Therefore, the data presented in this article is made available to facilitate further and more comprehensive investigation on the subject matter. Elsevier 2018-04-06 /pmc/articles/PMC5996726/ /pubmed/29900318 http://dx.doi.org/10.1016/j.dib.2018.04.006 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   
Falola, Hezekiah Olubusayo
Oludayo, Olumuyiwa Akinrole
Olokundun, Maxwell Ayodele
Salau, Odunayo Paul
Ibidunni, Ayodotun Stephen
Igbinoba, Ebe
Employee resourcing strategies and universities’ corporate image: A survey dataset
title Employee resourcing strategies and universities’ corporate image: A survey dataset
title_full Employee resourcing strategies and universities’ corporate image: A survey dataset
title_fullStr Employee resourcing strategies and universities’ corporate image: A survey dataset
title_full_unstemmed Employee resourcing strategies and universities’ corporate image: A survey dataset
title_short Employee resourcing strategies and universities’ corporate image: A survey dataset
title_sort employee resourcing strategies and universities’ corporate image: a survey dataset
topic Business, Management and Accounting   
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996726/
https://www.ncbi.nlm.nih.gov/pubmed/29900318
http://dx.doi.org/10.1016/j.dib.2018.04.006
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