Knowledge Economy Studies

Proposing A Model To Selecting Knowledge Management Technologies Based On Promethee II Algorithm: A Case Study of Eghtesad Novin bank in Iran

Articles in Press

Document Type : Original Article

Authors

Ameneh khadivar 1
samira masoudi 2
Zahra Ghorbani 3

1 Associate Professor, Department of Management, Alzahra University, Tehran, Iran

2 Master's degree in IT Management, Alzahra University, Tehran, Iran

3 Ph.D. in Marketing Management, Alzahra University, Teharn, Iran

https://doi.org/10.22034/kes.2026.2077958.1089
Abstract
Nowadays, in organizations, selecting the appropriate knowledge management (KM) technology has become one of the senior managers’ concerns in the KM area. The purpose of this study is to provide a model to help decision-makers with identifying and selecting the most appropriate KM technologies in‌ an ‌Iranian bank. In this research, KM technologies and criteria to select them are identified and are classified by doing librarian studies. Two questionnaire surveys were conducted to weigh technology selection criteria and determining the value of technologies based on criteria among KM experts of bank. The weight of each criterion was assigned by applying the analytical hierarchy process (AHP) and finally, all the technologies were ranked by using the PROMETHEE II method. The results indicate that in top rank is networking technology followed by organizational group communication/private social network technologies, social networking technologies, web/multimedia presenting technologies, web conferencing technologies, large audience webinars technologies, communications and collaborations technologies, virtual three-dimensional immersive collaboration technologies, and finally groupware.

Keywords

knowledge management
KM technologies
multi-criteria decision-making (MCDM)
analytical hierarchy process (AHP)
PROMETHEE method

Subjects

Knowledge Economy Studies

Articles in Press, Accepted Manuscript
Available Online from 01 February 2026

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