On the public citation graph
Big Data Techniques and Talent Management: Recommendations for Organizations and a Research Agenda for I-O Psychologists
0 signed · 16 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1017/iop.2018.6openalex-snapshot
Putting an End to Bad Talent Management: A Call to Action for the Field of Industrial and Organizational Psychology
inferredcites →https://doi.org/10.1037/apl0000108openalex-snapshot
Initial investigation into computer scoring of candidate essays for personnel selection.
inferredcites →https://doi.org/10.1037/apl0000240openalex-snapshot
Diversity shrinkage: Cross-validating pareto-optimal weights to enhance diversity via hiring practices.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4791847openalex-extracted
A Systematic Literature Review on the Impact of Artificial Intelligence on Talent Acquisition and Recruitment Processes: A Multi-Process Perspective
inferred← citeshttps://doi.org/10.1002/hrm.22303openalex-snapshot
Exploring Cultural Differences in AI ‐Based Interviews: Innovativeness and Justice Perceptions Among Job Applicants in the United States and South Korea
inferred← citeshttps://doi.org/10.1002/hrm.70025openalex-snapshot
Can Legal and Professional Personnel Selection Principles be Met With Machine Learning (Artificial Intelligence)?
inferred← citeshttps://doi.org/10.1007/978-981-16-7099-2_1openalex-snapshot
People Analytics and The Future of Competitiveness: Which Capabilities HR Departments Need to Succeed in the “Next Normal”
inferred← citeshttps://doi.org/10.1007/s10869-022-09864-6openalex-snapshot
A Paradigm Shift from “Human Writing” to “Machine Generation” in Personality Test Development: an Application of State-of-the-Art Natural Language Processing
inferred← citeshttps://doi.org/10.1016/j.sasc.2025.200371openalex-snapshot
Research on management mode of talent team in E-government based on big data analysis
inferred← citeshttps://doi.org/10.1017/iop.2025.9openalex-snapshot
The paradox of research novelty: Balancing innovation with practical impact in industrial and organizational psychology
inferred← citeshttps://doi.org/10.1108/bjm-05-2021-0188openalex-snapshot
(How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis
inferred← citeshttps://doi.org/10.1108/ejim-01-2023-0048openalex-snapshot
Big data and human resource management: paving the way toward sustainability
inferred← citeshttps://doi.org/10.1111/ntwe.12306openalex-snapshot
How to do HRM with numbers? A performative lens on HR metrics, HR analytics and HR algorithms
inferred← citeshttps://doi.org/10.4995/carma2020.2020.11643openalex-snapshot
Sample Size Sensitivity in Descriptive Baseball Statistics
inferred← citeshttps://doi.org/10.4995/carma2020.2020.11920openalex-snapshot
CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
inferred← citeshttps://doi.org/10.5465/amd.2022.0091openalex-snapshot
The Future of HRM Incentivizing Strathern’s Paradox? Workers’ Responses to Algorithmic Human Resource Management
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.