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Title: Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates
Authors: Karam, Sofia, 1994-
Nagahi, Morteza.
Dayarathna (Nick), Vidanelage L.
Ma, Junfeng.
Jaradat, Raed M.
Hamilton, Michael Andre, 1981-
Keywords: Recruitment strategy
Systems thinking skills
Job-fit recruiting
Flexible recruiting
lp Metric
Publisher: Information Technology Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Miscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/ITL MP-21-11
Is Version Of: Karam, Sofia, Morteza Nagahi, Vidanelage L. Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. "Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates." Expert Systems with Applications 160 (2020): 113585.
Abstract: The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The purpose of this study is to use systems thinking skills as a supplemental selection tool when recruiting prospective employees. To the best of our knowledge, there is no prior research that studied the use of systems thinking skills for recruiting purposes. The proposed framework offers an established tool to HRM professionals for assessing and screening of prospective employees of an organization based on their level of systems thinking skills while controlling uncertainties of complex decision-making environment with the fuzzy linguistic approach. This framework works as an expert system to find the most appropriate candidate for the organization to enhance the human capital for the organization.
Description: Miscellaneous Paper
Gov't Doc #: ERDC/ITL MP-21-11
Rights: Approved for Public Release; Distribution is Unlimited
Size: 40 pages / 921.33 kB
Types of Materials: PDF/A
Appears in Collections:Miscellaneous Paper

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