{"title":"A Two-Tier Solution to Converge People Analytics into HR Practices","authors":"Bhawna Gaur, Sadia Riaz","doi":"10.1109/ISCON47742.2019.9036312","DOIUrl":null,"url":null,"abstract":"Last few years have seen an overwhelming increase in the application of People Analytics, as an HR practice globally. Organizations have formed specialized teams and software companies, are designing newest predictive systems to help HR with data extraction and understanding People Analytics. However, there are still a number of limitations reported in numerous studies, such as: data privacy and perception limitations hindering effective convergence of People Analytics into HR practices. This study holistically approaches the topic by critically reviewing and synthesizing the existing literature; by comparing region-wise business performance indicators to understand the role of People Analytics, performs content analysis on selected reports to identify perception level limitations of People Analytics, and finally generates correlated qualitative themes to address convergence limitations of People Analytics into HR practices. The study provides a Two-Tier solution validated through Content Analysis performed in the Nvivo. Data analysis shows emergence of two broad correlated themes - 1) limitations at functional level and 2) limitations at normative (psychological) level. The study provides specific guidelines to HR practitioners and business researchers on how to overcome application limitations related to People Analytics within their organizations.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCON47742.2019.9036312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Last few years have seen an overwhelming increase in the application of People Analytics, as an HR practice globally. Organizations have formed specialized teams and software companies, are designing newest predictive systems to help HR with data extraction and understanding People Analytics. However, there are still a number of limitations reported in numerous studies, such as: data privacy and perception limitations hindering effective convergence of People Analytics into HR practices. This study holistically approaches the topic by critically reviewing and synthesizing the existing literature; by comparing region-wise business performance indicators to understand the role of People Analytics, performs content analysis on selected reports to identify perception level limitations of People Analytics, and finally generates correlated qualitative themes to address convergence limitations of People Analytics into HR practices. The study provides a Two-Tier solution validated through Content Analysis performed in the Nvivo. Data analysis shows emergence of two broad correlated themes - 1) limitations at functional level and 2) limitations at normative (psychological) level. The study provides specific guidelines to HR practitioners and business researchers on how to overcome application limitations related to People Analytics within their organizations.