Loading…
Data regarding talent management practices and innovation performance of academic staff in a technology-driven private university
The article presented an integrated data on talent management practices and innovation performance of academic staff in a technology-driven private university in Nigeria. The study adopted a quantitative approach with a survey research design to establish the major determinants of talent management...
Saved in:
Published in: | Data in brief 2018-08, Vol.19, p.1040-1045 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c517t-2f0db8f246f2805c7867ef88f90034032ee4e057d5fea7452a898d9751dc4733 |
---|---|
cites | cdi_FETCH-LOGICAL-c517t-2f0db8f246f2805c7867ef88f90034032ee4e057d5fea7452a898d9751dc4733 |
container_end_page | 1045 |
container_issue | |
container_start_page | 1040 |
container_title | Data in brief |
container_volume | 19 |
creator | Salau, Odunayo Osibanjo, Adewale Adeniji, Anthonia Oludayo, Olumuyiwa Falola, Hezekiah Igbinoba, Ebeguki Ogueyungbo, Opeyemi |
description | The article presented an integrated data on talent management practices and innovation performance of academic staff in a technology-driven private university in Nigeria. The study adopted a quantitative approach with a survey research design to establish the major determinants of talent management practices. The population of this study included academic staff and the use of questionnaire was adopted to elicit from the study population. 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 talent development and retention strategies as predictors for facilitating innovation performance in the sample University. It was recommended that management of the sampled university will consistently need to adopt reliable range of strategies to attract and retain people for excellence performance. |
doi_str_mv | 10.1016/j.dib.2018.05.081 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_24bdcaab2fac4ed8a64a0d6f720d991d</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2352340918305870</els_id><doaj_id>oai_doaj_org_article_24bdcaab2fac4ed8a64a0d6f720d991d</doaj_id><sourcerecordid>2109334327</sourcerecordid><originalsourceid>FETCH-LOGICAL-c517t-2f0db8f246f2805c7867ef88f90034032ee4e057d5fea7452a898d9751dc4733</originalsourceid><addsrcrecordid>eNp9Uk1v1DAQjRCIVqU_gAvykcsG27ETR0hIqECpVIlL79asPU69SuzF9q60R_45Xrat2gunGY_fvPl6TfOe0ZZR1n_atNavW06ZaqlsqWKvmnPeSb7qBB1fP_PPmsucN5RSJkUNyrfNWUc5l3xQ582fb1CAJJwgWR8mUmDGUMgCASZcju42gSneYCYQLPEhxD0UHwPZYnIxVaRBEh0BAxYXb0gu4FwFEiAFzX2Ic5wOK5v8HmtSNVCQ7EJ9puzL4V3zxsGc8fLBXjR3P77fXf1c3f66vrn6ersykg1lxR21a-W46B1XVJpB9QM6pdxIaZ2y44gCqRysdAiDkBzUqOw4SGaNGLruork50doIG13bWCAddASv_wVimjSkOueMmou1NQBr7sAItAp6AdT2buDUjiOzlevLiWu7Wy9oTV1TgvkF6cuf4O_1FPe6Z90olKwEHx8IUvy9w1z04rPBeYaAcZc1Z3TsOtHxoULZCWpSzDmheyrDqD4KQW90FYI-CkFTqasQas6H5_09ZTyevQI-nwBYF773mHQ2HushrU9oSl2J_w_9XxXyxzM</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2109334327</pqid></control><display><type>article</type><title>Data regarding talent management practices and innovation performance of academic staff in a technology-driven private university</title><source>ScienceDirect Journals</source><source>PubMed Central</source><creator>Salau, Odunayo ; Osibanjo, Adewale ; Adeniji, Anthonia ; Oludayo, Olumuyiwa ; Falola, Hezekiah ; Igbinoba, Ebeguki ; Ogueyungbo, Opeyemi</creator><creatorcontrib>Salau, Odunayo ; Osibanjo, Adewale ; Adeniji, Anthonia ; Oludayo, Olumuyiwa ; Falola, Hezekiah ; Igbinoba, Ebeguki ; Ogueyungbo, Opeyemi</creatorcontrib><description>The article presented an integrated data on talent management practices and innovation performance of academic staff in a technology-driven private university in Nigeria. The study adopted a quantitative approach with a survey research design to establish the major determinants of talent management practices. The population of this study included academic staff and the use of questionnaire was adopted to elicit from the study population. 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 talent development and retention strategies as predictors for facilitating innovation performance in the sample University. It was recommended that management of the sampled university will consistently need to adopt reliable range of strategies to attract and retain people for excellence performance.</description><identifier>ISSN: 2352-3409</identifier><identifier>EISSN: 2352-3409</identifier><identifier>DOI: 10.1016/j.dib.2018.05.081</identifier><identifier>PMID: 30225278</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Attraction ; Business, Management and Accounting ; Development ; Innovation ; Management ; Retention ; Talent</subject><ispartof>Data in brief, 2018-08, Vol.19, p.1040-1045</ispartof><rights>2018 The Authors</rights><rights>2018 The Authors 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c517t-2f0db8f246f2805c7867ef88f90034032ee4e057d5fea7452a898d9751dc4733</citedby><cites>FETCH-LOGICAL-c517t-2f0db8f246f2805c7867ef88f90034032ee4e057d5fea7452a898d9751dc4733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139485/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2352340918305870$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,3535,27903,27904,45759,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30225278$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Salau, Odunayo</creatorcontrib><creatorcontrib>Osibanjo, Adewale</creatorcontrib><creatorcontrib>Adeniji, Anthonia</creatorcontrib><creatorcontrib>Oludayo, Olumuyiwa</creatorcontrib><creatorcontrib>Falola, Hezekiah</creatorcontrib><creatorcontrib>Igbinoba, Ebeguki</creatorcontrib><creatorcontrib>Ogueyungbo, Opeyemi</creatorcontrib><title>Data regarding talent management practices and innovation performance of academic staff in a technology-driven private university</title><title>Data in brief</title><addtitle>Data Brief</addtitle><description>The article presented an integrated data on talent management practices and innovation performance of academic staff in a technology-driven private university in Nigeria. The study adopted a quantitative approach with a survey research design to establish the major determinants of talent management practices. The population of this study included academic staff and the use of questionnaire was adopted to elicit from the study population. 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 talent development and retention strategies as predictors for facilitating innovation performance in the sample University. It was recommended that management of the sampled university will consistently need to adopt reliable range of strategies to attract and retain people for excellence performance.</description><subject>Attraction</subject><subject>Business, Management and Accounting</subject><subject>Development</subject><subject>Innovation</subject><subject>Management</subject><subject>Retention</subject><subject>Talent</subject><issn>2352-3409</issn><issn>2352-3409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9Uk1v1DAQjRCIVqU_gAvykcsG27ETR0hIqECpVIlL79asPU69SuzF9q60R_45Xrat2gunGY_fvPl6TfOe0ZZR1n_atNavW06ZaqlsqWKvmnPeSb7qBB1fP_PPmsucN5RSJkUNyrfNWUc5l3xQ582fb1CAJJwgWR8mUmDGUMgCASZcju42gSneYCYQLPEhxD0UHwPZYnIxVaRBEh0BAxYXb0gu4FwFEiAFzX2Ic5wOK5v8HmtSNVCQ7EJ9puzL4V3zxsGc8fLBXjR3P77fXf1c3f66vrn6ersykg1lxR21a-W46B1XVJpB9QM6pdxIaZ2y44gCqRysdAiDkBzUqOw4SGaNGLruork50doIG13bWCAddASv_wVimjSkOueMmou1NQBr7sAItAp6AdT2buDUjiOzlevLiWu7Wy9oTV1TgvkF6cuf4O_1FPe6Z90olKwEHx8IUvy9w1z04rPBeYaAcZc1Z3TsOtHxoULZCWpSzDmheyrDqD4KQW90FYI-CkFTqasQas6H5_09ZTyevQI-nwBYF773mHQ2HushrU9oSl2J_w_9XxXyxzM</recordid><startdate>20180801</startdate><enddate>20180801</enddate><creator>Salau, Odunayo</creator><creator>Osibanjo, Adewale</creator><creator>Adeniji, Anthonia</creator><creator>Oludayo, Olumuyiwa</creator><creator>Falola, Hezekiah</creator><creator>Igbinoba, Ebeguki</creator><creator>Ogueyungbo, Opeyemi</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20180801</creationdate><title>Data regarding talent management practices and innovation performance of academic staff in a technology-driven private university</title><author>Salau, Odunayo ; Osibanjo, Adewale ; Adeniji, Anthonia ; Oludayo, Olumuyiwa ; Falola, Hezekiah ; Igbinoba, Ebeguki ; Ogueyungbo, Opeyemi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c517t-2f0db8f246f2805c7867ef88f90034032ee4e057d5fea7452a898d9751dc4733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Attraction</topic><topic>Business, Management and Accounting</topic><topic>Development</topic><topic>Innovation</topic><topic>Management</topic><topic>Retention</topic><topic>Talent</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salau, Odunayo</creatorcontrib><creatorcontrib>Osibanjo, Adewale</creatorcontrib><creatorcontrib>Adeniji, Anthonia</creatorcontrib><creatorcontrib>Oludayo, Olumuyiwa</creatorcontrib><creatorcontrib>Falola, Hezekiah</creatorcontrib><creatorcontrib>Igbinoba, Ebeguki</creatorcontrib><creatorcontrib>Ogueyungbo, Opeyemi</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Data in brief</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Salau, Odunayo</au><au>Osibanjo, Adewale</au><au>Adeniji, Anthonia</au><au>Oludayo, Olumuyiwa</au><au>Falola, Hezekiah</au><au>Igbinoba, Ebeguki</au><au>Ogueyungbo, Opeyemi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Data regarding talent management practices and innovation performance of academic staff in a technology-driven private university</atitle><jtitle>Data in brief</jtitle><addtitle>Data Brief</addtitle><date>2018-08-01</date><risdate>2018</risdate><volume>19</volume><spage>1040</spage><epage>1045</epage><pages>1040-1045</pages><issn>2352-3409</issn><eissn>2352-3409</eissn><abstract>The article presented an integrated data on talent management practices and innovation performance of academic staff in a technology-driven private university in Nigeria. The study adopted a quantitative approach with a survey research design to establish the major determinants of talent management practices. The population of this study included academic staff and the use of questionnaire was adopted to elicit from the study population. 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 talent development and retention strategies as predictors for facilitating innovation performance in the sample University. It was recommended that management of the sampled university will consistently need to adopt reliable range of strategies to attract and retain people for excellence performance.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>30225278</pmid><doi>10.1016/j.dib.2018.05.081</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2352-3409 |
ispartof | Data in brief, 2018-08, Vol.19, p.1040-1045 |
issn | 2352-3409 2352-3409 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_24bdcaab2fac4ed8a64a0d6f720d991d |
source | ScienceDirect Journals; PubMed Central |
subjects | Attraction Business, Management and Accounting Development Innovation Management Retention Talent |
title | Data regarding talent management practices and innovation performance of academic staff in a technology-driven private university |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T04%3A59%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Data%20regarding%20talent%20management%20practices%20and%20innovation%20performance%20of%20academic%20staff%20in%20a%20technology-driven%20private%20university&rft.jtitle=Data%20in%20brief&rft.au=Salau,%20Odunayo&rft.date=2018-08-01&rft.volume=19&rft.spage=1040&rft.epage=1045&rft.pages=1040-1045&rft.issn=2352-3409&rft.eissn=2352-3409&rft_id=info:doi/10.1016/j.dib.2018.05.081&rft_dat=%3Cproquest_doaj_%3E2109334327%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c517t-2f0db8f246f2805c7867ef88f90034032ee4e057d5fea7452a898d9751dc4733%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2109334327&rft_id=info:pmid/30225278&rfr_iscdi=true |