揭开人力资源挖掘使用案例的神秘面纱

IF 7.9 3区 管理学 Q1 Computer Science Business & Information Systems Engineering Pub Date : 2024-08-29 DOI:10.1007/s12599-024-00894-3
Niels Martin, Iris Beerepoot
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引用次数: 0

摘要

人力资源被视为组织的战略资产,在业务流程的执行中发挥着关键作用。因此,各组织应提供一种环境,使他们能够以有效和高效的方式运作。要塑造这样一种环境,就必须更好地了解和监测人力资源在流程中的实际参与情况以及他们所在的团队。利用信息系统中的事件数据,流程挖掘可以在这方面发挥作用。多年来,已经开发出几种人力资源挖掘方法,即利用事件日志传达与流程中人力资源相关的见解的流程挖掘方法。然而,人们对这些方法的广度缺乏整体认识。在此背景下,本文通过系统的文献综述,建立了一个概述人力资源挖掘用例的框架。这些用例按照两个维度进行分类:分析水平(单个人力资源还是多个人力资源)和分析重点(以组织为中心还是以人为中心)。作者说明了流程挖掘在提供人力资源洞察力方面的多功能性,并强调了进一步丰富和扩展这一研究领域的机会,以分析资源团队如何能更好地发挥作用等问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Unveiling Use Cases for Human Resource Mining

Human resources are considered a strategic asset for organizations and play a key role in the execution of business processes. Hence, organizations should provide an environment that enables them to operate in an effective and efficient manner. To shape such an environment, an improved understanding and monitoring of the real-life involvement of human resources in processes and the teams in which they operate would be beneficial. Using event data from information systems, process mining can play a role in this respect. Over the years, several human resource mining methods have been developed, i.e., process mining methods that convey insights related to the human resources in a process using an event log. However, there is a lack of a holistic understanding of the breadth of these methods. Against this backdrop, the paper uses a systematic literature review to develop a framework providing an overview of human resource mining use cases. These use cases are classified according to two dimensions: the level of analysis (individual versus multiple human resources) and the focus of analysis (organization-focused versus human-focused). The authors illustrate the versatility of process mining for providing insights into human resources and highlight opportunities for further enriching and extending this area of research to analyze, among other things, how teams of resources can perform better.

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来源期刊
Business & Information Systems Engineering
Business & Information Systems Engineering 工程技术-计算机:信息系统
CiteScore
11.30
自引率
7.60%
发文量
44
审稿时长
3.0 months
期刊介绍: BISE (Business & Information Systems Engineering) is an international scholarly journal that undergoes double-blind peer review. It publishes scientific research on the effective and efficient design and utilization of information systems by individuals, groups, enterprises, and society to enhance social welfare. Information systems are viewed as socio-technical systems involving tasks, people, and technology. Research in the journal addresses issues in the analysis, design, implementation, and management of information systems.
期刊最新文献
Rethinking Openness in Data Platforms: The Impact of Data Artifact Characteristics on Platform Openness Unfolding IoT Adoption: A Status Quo Bias Perspective Managing Dynamics in and Around Business Processes Data Sovereignty in Inter-organizational Information Systems Unveiling Use Cases for Human Resource Mining
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