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The aim of this article is to identify recent developments in personnel selection and to review existing research with regard to these recent developments. To this end, 26 human resource representatives were asked to list current or future trends in personnel selection. In addition, existing academic reviews of recent research in personnel selection were scrutinized. As a result, the following four main trends are identified: labour market shortages, technological developments, applicant perceptions of selection procedures, and construct‐driven approaches. Per trend, relevant existing research is reviewed and avenues for future research are discussed.

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.

Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.

As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.

Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.

The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.

The purpose of this paper is to examine academic performance measures commonly used in personnel selection contexts and associated gender‐based differences in these measures. This work specifically examines the extent to which gender‐based group differences exist in these data that may influence employment outcomes differentially for men and women.

Drawing on data available from academic institutions with a sample of nearly 4,000 prospective applicants, gender‐based group differences were evaluated in academic performance measures commonly used in personnel selection. Group differences were evaluated with a commonly used metric of a d‐value to reflect the magnitude of these differences.

Women and men yield differential scores on standardized vs non‐standardized assessments. Women consistently scored lower on standardized assessments yet scored highest on academic performance outcomes. Women are more likely to experience adverse impact when standardized assessments are used in selection decisions; however men are more likely to have adverse impact when academic performance is used.

Organizations may inadvertently create entry barriers depending on the assessment and the format used and whether or not group differences exist in measures.

Academic performance measures are frequently used in personnel selection, yet have received little attention in selection research and this study seeks to address this gap.

One of the key success factors for an organization is the promotion of qualified personnel for vacant positions. Especially, the promotion of middle and senior managers play an important role in terms of organization’s success. In personnel promotion problem in which the candidates are nominated within the organization and they have been working for a specific period of time and are known in their organization, the candidates should be evaluated based on their recent as well as past performances to make right selection for the vacant position. For this reason, the purpose of this paper is to propose an integrated dynamic multi-attribute decision-making (MADM) model based on intuitionistic fuzzy set for solving personnel promotion problem.

The proposed model integrates analytic hierarchy process (AHP) technique and the dynamic evaluation by intuitionistic fuzzy operator for personnel promotion. AHP is employed to determine the weight of attributes based on decision maker’s opinions, and the dynamic operator is utilized to aggregate evaluations of candidates for different years. Atanassov’s intuitionistic fuzzy set theory is utilized to represent uncertainty and vagueness in MADM process.

A numerical example is presented to show the applicability of the proposed method for personnel promotion problem and a sensitivity analysis is conducted to demonstrate efficiency of dynamic evaluation. The findings indicate that the varying weights of years employed determined the best candidate for promotion.

The novelty of this study is defining personnel promotion as a MADM problem in the literature for the first time and proposing an integrated dynamic intuitionistic fuzzy MADM approach for the solution, in which the candidates are evaluated at different years.

Personnel selection is an important process in management due to the high cost of unfavorable employee procurement. The multi criteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. The purpose of this paper is to propose a grey theory‐based hybrid approach to solve personnel selection problems in uncertain environments.

The work procedure is as follows: first, grey analytic network process (GANP) is applied to calculate selection criteria weights and then candidates are ranked by using grey possibility degrees. Finally, an example of a selection problem of sniper for a military unit was used to illustrate the proposed approach.

The analyses of the results show that grey theory‐based methods have enormous chance of success for personnel selection problems in uncertain situations.

Although there are some applications for personnel selection problems that used grey system theory in the literature, the combination of GANP and grey possibility degrees is used for personnel selection problem in this study.

Developments in personnel recruitment and selection “technology” have been both varied and extensive in the 1980s, and a number of overlapping and simultaneous developments are immediately apparent. Here, “technology” refers to methods, strategies, techniques, theories and practices of staff resourcing.

I approach this work in the knowledge that the recruitment and selection of staff is one of the most neglected areas of library management. I have been unable to trace any monograph devoted to the subject published during the past 10 years and few general books on library management spare more than a cursory glance in its direction.

This article will set out to compare some findings of a study on recruitment with the more general pronouncements on selection which are available in the literature on personnel management. The research study investigated the recruitment systems of major employees, all with relatively developed personnel functions, in three areas of Britain and West Germany; it concentrated on manual and low‐level white‐collar jobs in the 24 largest employers in each area. Although the study confirms the importance of internal recruitment, even where there is no developed seniority system or internal labour market, this article will concentrate on external recruitment (and/or some of the general conclusions of the study, but not on the Anglo‐German comparative dimension).

Evaluations of grey systems and systems with subjective judgements are always like an impasse for science and companies. Especially, calculations of the problems which include various units are really difficult situations. The purpose of this paper is to propose a grey analytic hierarchy process (G-AHP) for engineering and managerial problems with grey systems to make more clear and objective decisions.

Proposed G-AHP approach is applied to project manager selection for a software project of an energy company. The application includes three different units as year, score and assessment. Six engineers are evaluated with 25 criteria in the application. Weights of the factors and assessments are done by three top managers of the company as pairwise comparisons. Other data in the decision matrix are obtained from the personal information and exam results of engineers.

Final weights of the criteria and evaluations of engineers are all done with the proposed G-AHP. Obtained results of G-AHP are also compared with grey “VlseKriterijumska Optimizacija I Kompromisno Resenje” results as a validation of the calculations and proposed approach. Final results of the applications are ranked for the evaluations and comparison. All results of the case study are concluded with the effectiveness and applicability of the proposed G-AHP method both for this study and other fields of science, engineering and management.

This study provides to evaluate and interpret grey systems with different units and subjective judgements for science, engineering and management more clearly and objectively in an easier way.

This purpose of this paper is to present a tool for facilitating personnel selection when multiple heterogeneous human resource managers use multiple criteria. Two problems result from such a situation. First, when multiple criteria are applied, it is unusual for one candidate to dominate the other candidates in all areas, which requires assigning weights to the different criteria to be able to rank the candidates. Second, in a heterogeneous selection committee, finding weights that accurately reflect the individual preferences of all members is difficult.

To deal with the multidimensional setting of selecting personnel, this paper introduces data envelopment analysis with assurance region (DEA-AR) to determine individually optimal weights for each applicant.

DEA-AR leads to a score for each applicant that can serve as a signal for productivity and, thus, for evaluating the candidate. Based on linear programming, DEA-AR not only aggregates multiple dimensions into a single score but also incorporates managers’ preferences. In addition, the procedure is transparent and fair. It seems to be highly appropriate for selecting personnel. Based on a simulated dataset of applicants, the use of DEA-AR for selecting personnel is illustrated and discussed.

DEA-AR provides a tool for supporting personnel selection or pre-selection. This model is based on a mechanical procedure and considers managers’ ideas about weights.