{"title":"使用劳动力大数据的机遇和挑战:来自灵活工作的混合方法研究的见解","authors":"Miriam Glennie, Fiona Buick, Deborah Blackman, Vindhya Weeratunga, Massimiliano Tani, Damian West, Helen Dickinson","doi":"10.1111/1467-8500.12591","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <p>This Practice and Policy paper presents reflections on the opportunities and challenges of using a novel big data set, Microsoft 365 digital activity records, in a mixed method study of flexible working. Our experience identified methodological and ethical considerations for practitioners and researchers in public sector workforce analytics. The benefits include data captured in situ and over time for all employees. The limitations reflect the inadequacy of big data for representing the complexity of organisational behaviour and the need to accompany data collection with systems ensuring employee privacy and consent for the use of data not originally recorded for research or evaluation purposes. It contributes to knowledge through providing insights into what public sector big data sets contain and how such data can be accessed, interpreted, and used in workforce decision-making.</p>\n </section>\n \n <section>\n \n <h3> Points for practitioners</h3>\n \n <div>\n <ul>\n \n <li>Digital activity records are a useful form of big data for public sector workforce analytics.</li>\n \n <li>Digital activity records can support the identification of potential risks within the workforce such as social isolation and excessive work hours.</li>\n \n <li>Big data must be contextualised with qualitative or other additional data to interpret data patterns and generate meaningful implementation insights.</li>\n \n <li>Privacy and consent processes may require revision to fully utilise workforce big data.</li>\n </ul>\n </div>\n </section>\n </div>","PeriodicalId":47373,"journal":{"name":"Australian Journal of Public Administration","volume":"82 4","pages":"590-595"},"PeriodicalIF":2.1000,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1467-8500.12591","citationCount":"0","resultStr":"{\"title\":\"Opportunities and challenges of using workforce big data: Insights from a mixed methods study on flexible working\",\"authors\":\"Miriam Glennie, Fiona Buick, Deborah Blackman, Vindhya Weeratunga, Massimiliano Tani, Damian West, Helen Dickinson\",\"doi\":\"10.1111/1467-8500.12591\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <p>This Practice and Policy paper presents reflections on the opportunities and challenges of using a novel big data set, Microsoft 365 digital activity records, in a mixed method study of flexible working. Our experience identified methodological and ethical considerations for practitioners and researchers in public sector workforce analytics. The benefits include data captured in situ and over time for all employees. The limitations reflect the inadequacy of big data for representing the complexity of organisational behaviour and the need to accompany data collection with systems ensuring employee privacy and consent for the use of data not originally recorded for research or evaluation purposes. It contributes to knowledge through providing insights into what public sector big data sets contain and how such data can be accessed, interpreted, and used in workforce decision-making.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Points for practitioners</h3>\\n \\n <div>\\n <ul>\\n \\n <li>Digital activity records are a useful form of big data for public sector workforce analytics.</li>\\n \\n <li>Digital activity records can support the identification of potential risks within the workforce such as social isolation and excessive work hours.</li>\\n \\n <li>Big data must be contextualised with qualitative or other additional data to interpret data patterns and generate meaningful implementation insights.</li>\\n \\n <li>Privacy and consent processes may require revision to fully utilise workforce big data.</li>\\n </ul>\\n </div>\\n </section>\\n </div>\",\"PeriodicalId\":47373,\"journal\":{\"name\":\"Australian Journal of Public Administration\",\"volume\":\"82 4\",\"pages\":\"590-595\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1467-8500.12591\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australian Journal of Public Administration\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1467-8500.12591\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC ADMINISTRATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian Journal of Public Administration","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1467-8500.12591","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
Opportunities and challenges of using workforce big data: Insights from a mixed methods study on flexible working
This Practice and Policy paper presents reflections on the opportunities and challenges of using a novel big data set, Microsoft 365 digital activity records, in a mixed method study of flexible working. Our experience identified methodological and ethical considerations for practitioners and researchers in public sector workforce analytics. The benefits include data captured in situ and over time for all employees. The limitations reflect the inadequacy of big data for representing the complexity of organisational behaviour and the need to accompany data collection with systems ensuring employee privacy and consent for the use of data not originally recorded for research or evaluation purposes. It contributes to knowledge through providing insights into what public sector big data sets contain and how such data can be accessed, interpreted, and used in workforce decision-making.
Points for practitioners
Digital activity records are a useful form of big data for public sector workforce analytics.
Digital activity records can support the identification of potential risks within the workforce such as social isolation and excessive work hours.
Big data must be contextualised with qualitative or other additional data to interpret data patterns and generate meaningful implementation insights.
Privacy and consent processes may require revision to fully utilise workforce big data.
期刊介绍：
Aimed at a diverse readership, the Australian Journal of Public Administration is committed to the study and practice of public administration, public management and policy making. It encourages research, reflection and commentary amongst those interested in a range of public sector settings - federal, state, local and inter-governmental. The journal focuses on Australian concerns, but welcomes manuscripts relating to international developments of relevance to Australian experience.
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