Research Agenda for Use of Machine Learning and Internet of Things in “People Analytics”
People analytics results in attaining new skills and experiences to survive and thrive in this digital era in the human resources processes, from hiring to the last day of employment. It’s a disruptive technology to earmark high-performing organizations. Various machine learning (ML) and Internet of...
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| Language: | English |
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CRC Press
2023
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| Online Access: | https://cris.library.msu.ac.zw//handle/11408/5362 https://www.taylorfrancis.com/chapters/edit/10.1201/9781003048862-11/research-agenda-use-machine-learning-internet-things-people-analytics-rosemary-guvhu-terence-tachiona-munyaradzi-zhou-tinashe-gwendolyn-zhou |
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| _version_ | 1779905328337387520 |
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| author | Rosemary Guvhu Terence Tachiona Munyaradzi Zhou Tinashe Gwendolyn Zhou |
| author2 | #PLACEHOLDER_PARENT_METADATA_VALUE# |
| author_facet | #PLACEHOLDER_PARENT_METADATA_VALUE# Rosemary Guvhu Terence Tachiona Munyaradzi Zhou Tinashe Gwendolyn Zhou |
| author_sort | Rosemary Guvhu |
| collection | DSpace |
| description | People analytics results in attaining new skills and experiences to survive and thrive in this digital era in the human resources processes, from hiring to the last day of employment. It’s a disruptive technology to earmark high-performing organizations. Various machine learning (ML) and Internet of Things (IoT) solutions and their characteristics, trends, and general uses across sectors have been widely researched, however, specific studies on their effects and concerns in people analytics (PA) are still inadequate. Therefore, this chapter discusses the impact analysis of ML and IoT application in PA to bridge this limited scholarship on workforce diagnosis through ML and IoT systems. This book chapter proposes a research-based agenda for use of IoT and ML in PA. The research is based solely on literature review from the major databases, namely, Google Scholar; Elsevier; SAGE Publications, and Emerald Insight. Generally, the use of PA (technology-based) is its infancy. Organizational-based models need to be developed and implemented in relation to sector and organizational experiences. The implemented models will need evaluation and benchmarking for success. |
| format | book part |
| id | ir-11408-5362 |
| institution | My University |
| language | English |
| publishDate | 2023 |
| publisher | CRC Press |
| record_format | dspace |
| spelling | ir-11408-53622023-03-02T14:06:43Z Research Agenda for Use of Machine Learning and Internet of Things in “People Analytics” Rosemary Guvhu Terence Tachiona Munyaradzi Zhou Tinashe Gwendolyn Zhou #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# People analytics Use of Machine Learning Internet of Things People analytics results in attaining new skills and experiences to survive and thrive in this digital era in the human resources processes, from hiring to the last day of employment. It’s a disruptive technology to earmark high-performing organizations. Various machine learning (ML) and Internet of Things (IoT) solutions and their characteristics, trends, and general uses across sectors have been widely researched, however, specific studies on their effects and concerns in people analytics (PA) are still inadequate. Therefore, this chapter discusses the impact analysis of ML and IoT application in PA to bridge this limited scholarship on workforce diagnosis through ML and IoT systems. This book chapter proposes a research-based agenda for use of IoT and ML in PA. The research is based solely on literature review from the major databases, namely, Google Scholar; Elsevier; SAGE Publications, and Emerald Insight. Generally, the use of PA (technology-based) is its infancy. Organizational-based models need to be developed and implemented in relation to sector and organizational experiences. The implemented models will need evaluation and benchmarking for success. 2023-03-02T14:06:42Z 2023-03-02T14:06:42Z 2022 book part https://cris.library.msu.ac.zw//handle/11408/5362 https://www.taylorfrancis.com/chapters/edit/10.1201/9781003048862-11/research-agenda-use-machine-learning-internet-things-people-analytics-rosemary-guvhu-terence-tachiona-munyaradzi-zhou-tinashe-gwendolyn-zhou en ICT and Data Sciences 9781003048862 open CRC Press |
| spellingShingle | People analytics Use of Machine Learning Internet of Things Rosemary Guvhu Terence Tachiona Munyaradzi Zhou Tinashe Gwendolyn Zhou Research Agenda for Use of Machine Learning and Internet of Things in “People Analytics” |
| title | Research Agenda for Use of Machine Learning and Internet of Things in “People Analytics” |
| title_full | Research Agenda for Use of Machine Learning and Internet of Things in “People Analytics” |
| title_fullStr | Research Agenda for Use of Machine Learning and Internet of Things in “People Analytics” |
| title_full_unstemmed | Research Agenda for Use of Machine Learning and Internet of Things in “People Analytics” |
| title_short | Research Agenda for Use of Machine Learning and Internet of Things in “People Analytics” |
| title_sort | research agenda for use of machine learning and internet of things in “people analytics” |
| topic | People analytics Use of Machine Learning Internet of Things |
| url | https://cris.library.msu.ac.zw//handle/11408/5362 https://www.taylorfrancis.com/chapters/edit/10.1201/9781003048862-11/research-agenda-use-machine-learning-internet-things-people-analytics-rosemary-guvhu-terence-tachiona-munyaradzi-zhou-tinashe-gwendolyn-zhou |
| work_keys_str_mv | AT rosemaryguvhu researchagendaforuseofmachinelearningandinternetofthingsinpeopleanalytics AT terencetachiona researchagendaforuseofmachinelearningandinternetofthingsinpeopleanalytics AT munyaradzizhou researchagendaforuseofmachinelearningandinternetofthingsinpeopleanalytics AT tinashegwendolynzhou researchagendaforuseofmachinelearningandinternetofthingsinpeopleanalytics |