Assessing key knowledge representation techniques for use in HRM problem domains

Byun, Dae–Ho; Suh, Eui–Ho

doi:10.1016/s0957-4174(96)00045-0

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…Some peculiar subjects like exploring emotional involvement (Lucia-Casademunt et al , 2013), developing an employee suggestion system (Marksberry et al , 2014), perception of service robots (Xu et al , 2020) were also addressed. Specific discussions on applications were also attempted by some authors in this subcategory (Byun and Suh, 1994, 1996; Lawler and Elliot, 1996; Sturman et al , 1996).…”

Section: Analysis and Findingsmentioning

confidence: 99%

When technology meets people: the interplay of artificial intelligence and human resource management

Qamar

Agrawal

Samad

et al. 2021

JEIM

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PurposeAn original systematic review of the academic literature on applications of artificial intelligence (AI) in the human resource management (HRM) domain is carried out to capture the current state-of-the-art and prepare an original research agenda for future studies.Design/methodology/approachFifty-nine journal articles are selected based on a holistic search and quality evaluation criteria. By using content analysis and structural concept analysis, this study elucidates the extent and impact of AI application in HRM functions, which is followed by synthesizing a concept map that illustrates how the usage of various AI techniques aids HRM decision-making.FindingsA comprehensive review of the AI-HRM domain’s existing literature is presented. A concept map is synthesized to present a taxonomical overview of the AI applications in HRM.Research implications/limitationsAn original research agenda comprising relevant research questions is put forward to assist further developments in the AI-HRM domain. An indicative preliminary framework to help transition toward ethical AI is also presented.Originality/valueThis study contributes to the literature through a holistic discussion on the current state of the domain, the extent of AI application in HRM, and its current and perceived future impact on HRM functions. A preliminary ethical framework and an extensive future research agenda are developed to open new research avenues.

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