Data-driven human resource and data-driven talent management in internal and recruitment communication strategies: an empirical survey on Italian firms and insights for European context

Francesca Conte, Alfonso Siano
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Abstract

PurposePrevious research assumes that technologies 4.0, particularly big data, may be highly relevant for organizations to increase human resources (HR) communication strategies, but the research provides little or no evidence on whether and how these tools are applied in employees and labor market relations. This study intends to offer a first insight on the adoption of data-driven HR/talent management approach, contributing to the ongoing debate on the Industry 4.0. This study aims to investigate the use of 4.0 technologies in HR and talent management functions, focusing also on the adoption of big data analytics for internal and recruitment communication.Design/methodology/approachThe analysis of the literature enables to define the research questions and an exploratory web survey was carried out through a structured questionnaire. The analysis unit of the empirical survey includes the communication and marketing managers of 90 organizations in Italy, examined in the Mediobanca Report on the “Main Italian Companies.”FindingsFindings highlight a lack of the use of 4.0 technologies and big data analytics in employee and labor market relations and reveal some sectoral differences in the adoption of 4.0 technologies. Moreover, the study points out that the development of HR analytics is hampered by short-term perspective, data quality problems and the lack of analytics skills.Research limitations/implicationsDue to the exploratory research design and the circumscribed sample from a single country (Italy), further cross-national evidence is needed. This study provides digital communication managers with useful insights to improve the data-driven HR/talent management approach, which is a strategic asset for ensuring a sustainable competitive advantage and optimizing business performance.Originality/valueThe study offers an overview about the use of big data analytics in internal and recruitment communications. Considering the alignment between Italian and European trends in the use of big data and in the adoption of HR analytics, the study can provide insights also for other European organization.
内部和招聘沟通策略中的数据驱动人力资源和数据驱动人才管理:对意大利企业的实证调查及欧洲背景下的见解
先前的研究假设技术4.0,特别是大数据,可能与组织增加人力资源(HR)沟通策略高度相关,但研究很少或根本没有证据表明这些工具是否以及如何应用于员工和劳动力市场关系。本研究旨在提供关于采用数据驱动的人力资源/人才管理方法的初步见解,为正在进行的关于工业4.0的辩论做出贡献。本研究旨在调查4.0技术在人力资源和人才管理职能中的应用,同时关注大数据分析在内部和招聘沟通中的应用。设计/方法/方法对文献进行分析,确定研究问题,并通过结构化问卷进行探索性网络调查。实证调查的分析单元包括意大利90家组织的传播和营销经理,在Mediobanca报告中对“主要意大利公司”进行了审查。调查结果强调了在员工和劳动力市场关系中缺乏使用4.0技术和大数据分析,并揭示了在采用4.0技术方面的一些行业差异。此外,该研究指出,人力资源分析的发展受到短期视角、数据质量问题和缺乏分析技能的阻碍。由于探索性研究设计和来自单一国家(意大利)的有限样本,需要进一步的跨国证据。该研究为数字通信管理者提供了有用的见解,以改进数据驱动的人力资源/人才管理方法,这是确保可持续竞争优势和优化业务绩效的战略资产。独创性/价值该研究概述了大数据分析在内部和招聘沟通中的应用。考虑到意大利和欧洲在使用大数据和采用人力资源分析方面的趋势一致,该研究也可以为其他欧洲组织提供见解。
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