A flexible employee recruitment and compensation model: A bi-level optimization approach

2021 ◽  
pp. 107916
Author(s):  
Hila Chalutz Ben-Gal ◽  
Iris Forma ◽  
Gonen Singer
2020 ◽  
Vol 54 (6) ◽  
pp. 1703-1722 ◽  
Author(s):  
Narges Soltani ◽  
Sebastián Lozano

In this paper, a new interactive multiobjective target setting approach based on lexicographic directional distance function (DDF) method is proposed. Lexicographic DDF computes efficient targets along a specified directional vector. The interactive multiobjective optimization approach consists in several iteration cycles in each of which the Decision Making Unit (DMU) is presented a fixed number of efficient targets computed corresponding to different directional vectors. If the DMU finds one of them promising, the directional vectors tried in the next iteration are generated close to the promising one, thus focusing the exploration of the efficient frontier on the promising area. In any iteration the DMU may choose to finish the exploration of the current region and restart the process to probe a new region. The interactive process ends when the DMU finds its most preferred solution (MPS).


2016 ◽  
Vol 18 (1) ◽  
pp. 114
Author(s):  
She Wei ◽  
Huang Huang ◽  
Guan Chunyun ◽  
Chen Fu ◽  
Chen Guanghui

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 745-763
Author(s):  
Akhila Rao ◽  
Shailashri V. T ◽  
Molly Sanjay Chaudhuri ◽  
Kondru Sudheer Kumar

The modern business milieu is highly competitive due to vast technological advancement which makes employees a vital source of competitive advantage. Precisely, the recruitment process has become a key determinant of an organization’s success and a logistic capital resource to the human resource; thus, the process should be entirely modern. A conventional recruitment and selection process comprises of job analysis, manpower planning, and recruitment and selection. The current study seeks to explore employee recruitment practices and proposes areas of future research in Indian Railways using secondary data. It also gives recommendations on how to improve the recruitment practices in the government-owned Indian Railways. The trends investigated in the study include the applicant tracking software (ATS), use of video resumes, Chatbots, the utilization of social networks, and increased focus on passive candidates.


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