Skip to content
akaturk Academic measurement

Article detail · 2025 · article

Decision Making in Bank Personnel Selection Using the Analytical Hierarchy Process

Journal Information Technology in Economics and Business
ISSN3 0 2 3 - 8 9 4 3
YÖKSİS OpenAlex Open access · hybrid
Year2025
Citations2OpenAlex
Percentile%65.0
FWCI0.781.00 = world average

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueInformation Technology in Economics and Business
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)
  • Semantic Scholarcitation count (not merged with OpenAlex)

Abstract

OpenAlex English

Banks, like in many other areas, must make the right decisions in personnel selection. Incorrect personnel choices can lead to customer loss and increase internal organizational problems. Therefore, it is crucial for banks to make the right personnel selections and use objective criteria when making these decisions. Selecting the most suitable employee who can contribute to increasing the value of the organization from numerous applications requires a multi-stage process. Recent studies have observed that multi-criteria decision-making methods are frequently used in evaluating recruitment processes. In this regard, the Analytical Hierarchy Process (AHP) method is a tool that can assist banks in making accurate personnel decisions. The aim of the study is to identify the criteria used in personnel selection in banks and prioritize these criteria. In the research, key factors in the recruitment process include personal characteristics, organizational expectations, and experience as the main criteria. Using the AHP method, priority rankings of these factors have been made, and the most important criteria have been identified. The results highlight that determining the right criteria is crucial for enhancing the quality of the workforce and designing efficient recruitment processes in the banking sector. Furthermore, the AHP model provides a concrete tool for recruitment processes in the sector, helping decision-makers to make more informed and objective decisions.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

2citationsOpenAlex · cited_by_count (cache / database)

1 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. 2026 A Multi-Criteria Decision Making Framework for Student Admission in Applied Engineering Projects Using AHP, TOPSIS and MARCOS: A Case Study in the Industrial Engineering DepartmentCitations 0 · OpenAlex

Authors

2
  1. EDA GELGÖR 1
  2. SEMA POYRAZ CAN HİTİT ÜNİVERSİTESİ 2