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      Human resources analytics: a systematic review from a sustainable management approach Translated title: La analítica de recursos humanos: una revisión sistemática desde la perspectiva de una gestión sostenible

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          Abstract

          ABSTRACT Human Resources Analytics (HRA) is drawing more attention every year, and will be crucial to human resource development. However, the literature around the topic would appear to be more promotional than descriptive. With this in mind, we conducted a systematic literature review and content analysis with the following objectives: first, to address the current state of HRA and second, to propose a framework for the development of HRA as a sustainable practice. We analyzed 79 articles from research databases and found 34 empirical studies for subsequent content analysis. While the main results reflect the relative newness of the field of HRA, with the majority of the empirical articles focusing on financial aspects, they also reveal the growing importance given to ethics. Finally, we propose a framework for the development of sustainable HRA based on the triple bottom line and discuss the implications of our findings for researchers and practitioners.

          Translated abstract

          RESUMEN La analítica de recursos humanos (ARH) atrae cada vez más atención en los últimos años y será crucial para el desarrollo del ámbito de los recursos humanos. No obstante, la literatura sobre el tema parece ser más promocional que descriptiva. Para comprobar esto, llevamos a cabo una revisión sistemática de la literatura y un análisis de contenido con los siguientes objetivos: primero, abordar el estado actual la ARH y segundo, proponer un marco para el desarrollo de la AHR como una práctica sostenible. Analizamos 79 artículos de investigación incluidos en las más prestigiosas bases de datos y encontramos 34 estudios empíricos para su posterior análisis de contenido. Los principales resultados reflejan la relativa novedad del campo de la ARH, estando centrados la mayoría de los artículos en los aspectos financieros. No obstante, también se observa la creciente importancia dada a la ética. Finalmente, proponemos un marco para el desarrollo de una ARH basada en la triple cuenta de resultados (económica, social y medioambiental, y se discuten las implicaciones prácticas y teóricas de nuestros hallazgos.

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          Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

          Systematic reviews should build on a protocol that describes the rationale, hypothesis, and planned methods of the review; few reviews report whether a protocol exists. Detailed, well-described protocols can facilitate the understanding and appraisal of the review methods, as well as the detection of modifications to methods and selective reporting in completed reviews. We describe the development of a reporting guideline, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015). PRISMA-P consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review. Funders and those commissioning reviews might consider mandating the use of the checklist to facilitate the submission of relevant protocol information in funding applications. Similarly, peer reviewers and editors can use the guidance to gauge the completeness and transparency of a systematic review protocol submitted for publication in a journal or other medium.
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            Beyond PICO: the SPIDER tool for qualitative evidence synthesis.

            Standardized systematic search strategies facilitate rigor in research. Current search tools focus on retrieval of quantitative research. In this article we address issues relating to using existing search strategy tools, most typically the PICO (Population, Intervention, Comparison, Outcome) formulation for defining key elements of a review question, when searching for qualitative and mixed methods research studies. An alternative search strategy tool for qualitative/mixed methods research is outlined: SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type). We used both the SPIDER and PICO search strategy tools with a qualitative research question. We have used the SPIDER tool to advance thinking beyond PICO in its suitable application to qualitative and mixed methods research. However, we have highlighted once more the need for improved indexing of qualitative articles in databases. To constitute a viable alternative to PICO, SPIDER needs to be refined and tested on a wider range of topics.
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              Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management

              Min Lee (2018)
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                Author and article information

                Journal
                rpto
                Revista de Psicología del Trabajo y de las Organizaciones
                Rev. psicol. trab. organ.
                Colegio Oficial de la Psicología de Madrid (Madrid, Madrid, Spain )
                1576-5962
                2174-0534
                2022
                : 38
                : 3
                : 129-147
                Affiliations
                [03] Oviedo orgnameUniversity of Oviedo Spain
                [01] Santiago de Compostela orgnameUniversity of Santiago de Compostela Spain
                [02] New Mexico New Mexico orgnameUniversity of New Mexico United States
                Article
                S1576-59622022000300001 S1576-5962(22)03800300001
                10.5093/jwop2022a18
                e72e290c-efcd-4184-b989-f36624eddd51

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 14 October 2022
                : 24 February 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 104, Pages: 19
                Product

                SciELO Spain

                Categories
                Special issue on "Theory Development and Research Review" in Homage to Professor José María Peiro

                Socialmente responsable,Artificial intelligence,Big data,Systematic review,Socially responsible,Ethics,Sustainability,Human resources analytics,Inteligencia artificial,Revisión sistemática,Ética,Sostenibilidad,Analítica de recursos humanos

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