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Analysis and shortcomings of e-recruitment systems: Towards a semantics-based approach addressing knowledge incompleteness and limited domain coverage
4 references·3 citing·26 second hop
Analysis and shortcomings of e-recruitment systems: Towards a semantics-based approach addressing knowledge incompleteness and limited domain coverage (2018)Analysis and shortcomings of e-recruitmen…Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT) (2013)Towards an automated system f…On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV (2013)On-line consistent ranking on…An integrated e‐recruitment system for automated personality mining and applicant ranking (2012)An integrated e‐recruitment s…An architecture for a next-generation holistic e-recruiting system (2007)An architecture for a next-ge…The Possibilities of Using Artificial Intelligence as a Key Technology in the Current Employee Recruitment Process (2024)The Possibilities of Using Ar…Does Industry 5.0 Reproduce Gender (In)equalities at Organisations? Understanding the Interaction of Human Resources and Software Development Teams in Supplying Human Capitals (2023)Does Industry 5.0 Reproduce G…The contribution of e-recruitment practices to e-recruitment outcomes in Russian companies (2021)The contribution of e-recruit…Linguistic styles: Language use as an individual difference. (1999)LinkedIn “Big Four”: Job Performance Validation in the ICT Sector (2019)Systematic literature review of professional social media platforms: Development of a behavior adoption career development framework (2022)A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics (2025)How to make a decision: The analytic hierarchy process (1990)Employer branding and CSR communication in online recruitment advertising (2018)Responsible artificial intelligence in human resources management: a review of the empirical literature (2023)THE IMPORTANCE OF RECRUITMENT IN JOB CHOICE: A DIFFERENT WAY OF LOOKING (1991)PROSPECT (2010)E-recruitment: Towards an Ubiquitous Recruitment Process and Candidate Relationship Management (2012)Computer, Whom Should I Hire? – Acceptance Criteria for Artificial Intelligence in the Recruitment Process (2021)Making the most of on-line recruiting. (2001)The brave new world of eHR : human resources management in the digital age (2005)Recruiters’ Perceptions and Use of Applicant Résumé Information: Screening the Recent Graduate (2007)JRC: A Job Post and Resume Classification System for Online Recruitment (2017)A Two-Step Resume Information Extraction Algorithm (2018)Design and development of machine learning based resume ranking system (2021)Research in e-HRM: Review and implications (2007)The Digital Workforce and the Workplace of the Future (2016)Understanding digital transformation: A review and a research agenda (2019)Studying Information Technology in Organizations: Research Approaches and Assumptions (1991)Semantics derived automatically from language corpora contain human-like biases (2017)Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis (2017)A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS (2010)Artificial Intelligence and Business Value: a Literature Review (2021)Artificial intelligence and knowledge sharing: Contributing factors to organizational performance (2022)
this work references cited by second hop

References

  • 2012An integrated e‐recruitment system for automated personality mining and applicant ranking176 cited
  • 2007An architecture for a next-generation holistic e-recruiting system105 cited
  • 2013On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV95 cited
  • 2013Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT)64 cited

Cited by

  • 2021The contribution of e-recruitment practices to e-recruitment outcomes in Russian companies25 cited
  • 2023Does Industry 5.0 Reproduce Gender (In)equalities at Organisations? Understanding the Interaction of Human Resources and Software Development Teams in Supplying Human Capitals24 cited
  • 2024The Possibilities of Using Artificial Intelligence as a Key Technology in the Current Employee Recruitment Process23 cited

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