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http://hdl.handle.net/1942/44329
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DC Field | Value | Language |
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dc.contributor.author | MARTIN, Niels | - |
dc.contributor.author | Beerepoot, Iris | - |
dc.date.accessioned | 2024-09-26T13:27:47Z | - |
dc.date.available | 2024-09-26T13:27:47Z | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-08-29T10:01:46Z | - |
dc.identifier.citation | Business & information systems engineering (Print), | - |
dc.identifier.uri | http://hdl.handle.net/1942/44329 | - |
dc.description.abstract | 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 holis-tic 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. | - |
dc.description.sponsorship | The authors would like to acknowledge Emma Van Coillie for supporting the initial full-text screening of the first literature search in 2021. Moreover, we would like to sincerely thank the editor and the reviewers for their insightful and constructive feedback. This has significantly contributed to the development of the paper during the review process. | - |
dc.language.iso | en | - |
dc.rights | Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2024 | - |
dc.subject.other | Process mining | - |
dc.subject.other | Human resource mining | - |
dc.subject.other | Human resource | - |
dc.subject.other | Organizational mining | - |
dc.subject.other | Event log | - |
dc.subject.other | Team effectiveness | - |
dc.title | Unveiling Use Cases for Human Resource Mining: A Framework of Past and Future Research | - |
dc.type | Journal Contribution | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.status | Early view | - |
dc.identifier.doi | 10.1007/s12599-024-00894-3 | - |
local.provider.type | CrossRef | - |
local.uhasselt.international | yes | - |
item.fullcitation | MARTIN, Niels & Beerepoot, Iris (2024) Unveiling Use Cases for Human Resource Mining: A Framework of Past and Future Research. In: Business & information systems engineering (Print),. | - |
item.fulltext | With Fulltext | - |
item.contributor | MARTIN, Niels | - |
item.contributor | Beerepoot, Iris | - |
item.accessRights | Embargoed Access | - |
item.embargoEndDate | 2025-03-01 | - |
crisitem.journal.issn | 2363-7005 | - |
crisitem.journal.eissn | 1867-0202 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Manuscript_DocServer.pdf Until 2025-03-01 | Peer-reviewed author version | 1.12 MB | Adobe PDF | View/Open Request a copy |
s12599-024-00894-3 (1).pdf Restricted Access | Early view | 1.28 MB | Adobe PDF | View/Open Request a copy |
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