e-Recruitment recommender systems: a systematic review

Freire, Mauricio Noris; Castro, Leandro Nunes de

doi:10.1007/s10115-020-01522-8

Cited by 44 publications

(13 citation statements)

References 87 publications

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“…The ability to decode a job ad to determine what skills the employer is looking for and then craft a resume to reflect these skills will become even more important in the future. Growing numbers of employers already use e-recruitment systems that automate candidate short-listing by ruling out applicants who do not mention the most relevant skills terms in their resumes (Faliagka et al , 2012; Freire and de Castro, 2021). Using NLP and the ESCO taxonomy, we can explore the alignment between skills mentioned in a job ad and skills described in a qualification.…”

Section: Resultsmentioning

confidence: 99%

Illustrating the application of a skills taxonomy, machine learning and online data to inform career and training decisions

Mason

Chen

Evans

et al. 2023

IJILT

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PurposeThis paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational offerings up to date and assist graduates to communicate the value of their qualifications.Design/methodology/approachUsing the ESCO taxonomy and natural language processing, this study captures skills data from three types of online data (job ads, course descriptions and resumes), allowing us to compare demand for skills and supply of skills for three different occupations.FindingsThis study illustrates three practical applications for the integrated data, showing how they can be used to help workers who are disrupted by technology to identify alternative career pathways, assist educators to identify gaps in their course offerings and support students to communicate the value of their training to employers.Originality/valueThis study builds upon existing applications of machine learning (detecting skills from a single dataset) by using the skills taxonomy to integrate three datasets. This study shows how these complementary, big datasets can be integrated to support greater alignment between the needs and offerings of educators, employers and job seekers.

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Section: Resultsmentioning

confidence: 99%

Illustrating the application of a skills taxonomy, machine learning and online data to inform career and training decisions

Mason

Chen

Evans

et al. 2023

IJILT

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“…Sometimes, such investments are seen too much from the HR function's internal perspective alone, thus missing the wider business case (Dahlbom et al, 2020[76]). More generally, a lack of clear strategy has been identified as the top challenge to the adoption of AI in organisations (McKinsey, 2018 [83]), while fear of change may also be partly to blame (Fraij and Lászlo, 2021 [84]). A managing director for workforce transformation at a large consulting company interviewed as part of this project said that "technology fatigue" may be another factor:…”

Section: Resistance From Management And/or Staffmentioning

confidence: 99%

Artificial intelligence and labour market matching

2023

OECD Social, Employment and Migration Working Papers

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ARTIFICIAL INTELLIGENCE AND LABOUR MARKET MATCHING Unclassified OECD Social, Employment and Migration Working Paperswww.oecd.org/els/workingpapers OECD Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the author(s).Working Papers describe preliminary results or research in progress by the author(s) and are published to stimulate discussion on a broad range of issues on which the OECD works. Comments on Working Papers are welcomed, and may be sent to

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“…Esta literatura sobre obstáculos representa cuatro aspectos: social, organizacional, estructural y estratégico. La literatura sobre transición digital todos estos factores están organizados en una multiplicidad: Los factores culturales son un desafío y se trata de tener una sociedad que fomente la ruptura de los silos organizacionales para evolucionar en la era moderna (Freire & de Castro, 2021). Los datos del Informe de gestión de TI y los informes de digitalización sugieren que el desafío clave para impulsar el cambio no es la nueva infraestructura en sí, sino la transición de acciones para aprovechar.…”

Section: Revisión De La Literaturaunclassified

Digitalización De La Cadena De Suministro Y La Competitividad De Las Empresas Peruanas Del Sector Minorista.

Romero

López

Romero

et al. 2022

RevEpst

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Las empresas están adoptando un paradigma de comercialización contemporáneo conocido como desarrollo ágil en respuesta a los cambios en el sector minorista. Se considera un enfoque sólido en un mercado tremendamente competitivo, con necesidades cambiantes de los clientes y mejoras sustanciales en la competitividad. Retail 4.0, se define como un meta concepto para mejorar aún más el desarrollo y construir estructuras de valor conectando el mundo físico con el entorno digital y juega una función vital en la simplificación de las redes de Internet. El presente estudio se centra en la tecnología moderna y el vínculo entre las máquinas y el contacto entre todos los elementos de la cadena de suministro, también conocido como producción digital. La cuarta revolución tecnológica es esta tecnología moderna, considerada como Internet de las cosas. Además, después de una muestra de más de 800 encuestados, se obtienen 579 respuestas, la consulta incorporaría un enfoque cuantitativo. La prueba se evaluó mediante el software estadístico SPSS y se utilizó el análisis de regresión para verificar las hipótesis. Los hallazgos indican que la digitalización y la cadena de distribución en la industria minorista tienen una conexión directa con la competitividad en el sector retail peruano.

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e-Recruitment recommender systems: a systematic review

Cited by 44 publications

References 87 publications

Illustrating the application of a skills taxonomy, machine learning and online data to inform career and training decisions

Illustrating the application of a skills taxonomy, machine learning and online data to inform career and training decisions

Artificial intelligence and labour market matching

Digitalización De La Cadena De Suministro Y La Competitividad De Las Empresas Peruanas Del Sector Minorista.

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