Machine Learning Based Method for Deciding Internal Value of Talent

Loyarte, Edurne; Olaizola, Igor G.

doi:10.1080/08839514.2022.2151160

Cited by 5 publications

(2 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, it is quite difficult to apply for IT recruitment since IT candidates often possess certain required abilities for future work growth. Furthermore, transfer learning is a valuable machine learning approach for dealing with language problems ( Pillai & Sivathanu, 2020 ; Nguyen et al, 2020a ) and particularly for extracting key terms from documents ( Loyarte-López & Garcıa-Olaizola, 2022 ). To extract applicants’ abilities, Loyarte-López & Garcıa-Olaizola (2022) used ontology and word embedding.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, transfer learning is a valuable machine learning approach for dealing with language problems ( Pillai & Sivathanu, 2020 ; Nguyen et al, 2020a ) and particularly for extracting key terms from documents ( Loyarte-López & Garcıa-Olaizola, 2022 ). To extract applicants’ abilities, Loyarte-López & Garcıa-Olaizola (2022) used ontology and word embedding. These researchers offered a theory on matching candidates with organizational cultures to provide a better candidate who is a good fit for the company.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent search system for resume and labor law

Nguyen,

Pham,

Ngo

et al. 2024

PeerJ Computer Science

View full text Add to dashboard Cite

Labor and employment are important issues in social life. The demand for online job searching and searching for labor regulations in legal documents, particularly regarding the policy for unemployment benefits, is essential. Nowadays, each function has some programs for its working. However, there is no program that combines both functions. In practice, when users seek a job, they may be unemployed or want to transfer to another work. Thus, they are required to search for regulations about unemployment insurance policies and related information, as well as regulations about workers working smoothly and following labor law. Ontology is a useful technique for representing areas of practical knowledge. This article proposes an ontology-based method for solving labor and employment-related problems. First, we construct an ontology of job skills to match curriculum vitae (CV) and job descriptions (JD). In addition, an ontology for representing labor law documents is proposed to aid users in their search for legal labor law regulations. These ontologies are combined to construct the knowledge base of a job-searching and labor law-searching system. In addition, this integrated ontology is used to study several issues involving the matching of CVs and JDs and the search for labor law issues. A system for intelligent resume searching in information technology is developed using the proposed method. This system also incorporates queries pertaining to Vietnamese labor law policies regarding unemployment and healthcare benefits. The experimental results demonstrate that the method designed to assist job seekers and users searching for legal labor documents is effective.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Intelligent search system for resume and labor law

Nguyen,

Pham,

Ngo

et al. 2024

PeerJ Computer Science

View full text Add to dashboard Cite

show abstract

Continuity Governance model: a new process stage in the BCM system that underpins organizational resilience

Loyarte,

Gurrutxaga,

Funcia

2024

Cogent Business & Management

View full text Add to dashboard Cite

Mapping the Literature on Job Evaluation: A Scoping Review

Glind,

Mulder,

Akkerman

et al. 2024

Compensation & Benefits Review

View full text Add to dashboard Cite

Since the 1940’s, job evaluation methods are being used to establish the relative value of jobs within organizations in order to determine salaries. Job evaluation methods have been studied, but there has not been much systematic reflection on the research conducted so far. This scoping review of 199 articles demonstrates that topics changed over decades, starting with methodological questions in the 1940’s, reflecting a start-up period. Historic overviews on wage policies appeared in the 1960’s, and the topic of gender wage inequality in the 1980’s. Guidelines were published in the 1990’s. From 2000 onwards, the main topic was adapting job evaluation methods to specific contexts. Research declined since 2010. There was hardly any research on appending changes in job evaluation methods and criteria. Given the ever-changing nature of work and the upcoming demographic changes, we recommend to revive scientific research on job evaluation and propose an agenda with research questions.

show abstract

Machine Learning Based Method for Deciding Internal Value of Talent

Cited by 5 publications

References 39 publications

Intelligent search system for resume and labor law

Intelligent search system for resume and labor law

Continuity Governance model: a new process stage in the BCM system that underpins organizational resilience

Mapping the Literature on Job Evaluation: A Scoping Review

Contact Info

Product

Resources

About