“Selecting right Person for the right job” in the organizations seems to be the most important managerial issue. Traditionally, this is realized through a “simple Job- Person Match”, which is an “Individual view”. This methodology, by some trends and paradigm shift in human resource management (i.e. Team Working), should be evolved to a “Group viwe”. In this study, “interpersonal interactions” is added to the traditional one.
First, the suggested model for personnel selection and placement is formulated into a Quadratic mathematical form and then a Hopfield neural network has been used to solve it by using Matlab software, a well known and validated software for neural nets. The results show, there is a significant difference between the mean of solutions by traditional view (based on individual level) and the mean of solutions by the new suggensted one (based on group level): t(19) = - 10.966, P-Value=0.000.
Amin Naseri,M R , Mohammadi,M and Azar,A . (2021). A New Model for Personnel Selection & Placement In Organizations by Using an Artificial Neural Network. Management Research in Iran, 8(20), 135-157.
MLA
Amin Naseri,M R , , Mohammadi,M , and Azar,A . "A New Model for Personnel Selection & Placement In Organizations by Using an Artificial Neural Network", Management Research in Iran, 8, 20, 2021, 135-157.
HARVARD
Amin Naseri M R, Mohammadi M, Azar A. (2021). 'A New Model for Personnel Selection & Placement In Organizations by Using an Artificial Neural Network', Management Research in Iran, 8(20), pp. 135-157.
CHICAGO
M R Amin Naseri, M Mohammadi and A Azar, "A New Model for Personnel Selection & Placement In Organizations by Using an Artificial Neural Network," Management Research in Iran, 8 20 (2021): 135-157,
VANCOUVER
Amin Naseri M R, Mohammadi M, Azar A. A New Model for Personnel Selection & Placement In Organizations by Using an Artificial Neural Network. Management Research in Iran. 2021;8(20):135-157 (In Persian).
