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Strategies for Using Analytics to Im...
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Etukudo, Rosaline.
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Strategies for Using Analytics to Improve Human Resource Management.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Strategies for Using Analytics to Improve Human Resource Management./
作者:
Etukudo, Rosaline.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
159 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-10, Section: A.
Contained By:
Dissertations Abstracts International80-10A.
標題:
Business administration. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13814090
ISBN:
9781392032411
Strategies for Using Analytics to Improve Human Resource Management.
Etukudo, Rosaline.
Strategies for Using Analytics to Improve Human Resource Management.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 159 p.
Source: Dissertations Abstracts International, Volume: 80-10, Section: A.
Thesis (D.B.A.)--Walden University, 2019.
This item must not be sold to any third party vendors.
The use of analytics in human resource (HR) management has proven successful in improving company performance by reducing workforce costs, improving the quality of recruitment, improving talent management and employee engagement, and generally improving productivity. The purpose of this qualitative, multiple-case study was to explore how HR managers use analytics to improve company performance using the contextually based human resource theory as the conceptual framework. The target population comprised a purposeful sample of 5 HR managers in Washington DC; the United States; and Lagos, Nigeria, who had experience using analytics for HR management. Data were collected through semistructured interviews using face-to-face, telephone, and Internet communications and a review of company documents and websites. Data analysis included content and thematic analysis. Four themes emerged from data analysis: the need for HR analytics to align with organizational strategy, the need for understanding HR metrics and how insights derived from HR analytics improve company performance, influencers of HR analytics adoption, and the barriers to HR analytics adoption. The findings and recommendations of this study can assist HR managers in implementing HR analytics successfully. The implications for positive social change include the potential for increased employee satisfaction, improved productivity, and enhanced prosperity in local communities, leading to positive socioeconomic indicators.
ISBN: 9781392032411Subjects--Topical Terms:
3168311
Business administration.
Subjects--Index Terms:
HR analytics
Strategies for Using Analytics to Improve Human Resource Management.
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The use of analytics in human resource (HR) management has proven successful in improving company performance by reducing workforce costs, improving the quality of recruitment, improving talent management and employee engagement, and generally improving productivity. The purpose of this qualitative, multiple-case study was to explore how HR managers use analytics to improve company performance using the contextually based human resource theory as the conceptual framework. The target population comprised a purposeful sample of 5 HR managers in Washington DC; the United States; and Lagos, Nigeria, who had experience using analytics for HR management. Data were collected through semistructured interviews using face-to-face, telephone, and Internet communications and a review of company documents and websites. Data analysis included content and thematic analysis. Four themes emerged from data analysis: the need for HR analytics to align with organizational strategy, the need for understanding HR metrics and how insights derived from HR analytics improve company performance, influencers of HR analytics adoption, and the barriers to HR analytics adoption. The findings and recommendations of this study can assist HR managers in implementing HR analytics successfully. The implications for positive social change include the potential for increased employee satisfaction, improved productivity, and enhanced prosperity in local communities, leading to positive socioeconomic indicators.
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