The state of the art development of AHP (1979–2017):A literature review with a social network analysis

Abstract

Although many papers describe the evolution of the analytic hierarchy process (AHP), most adopt a subjective approach. This paper examines the pattern of development of the AHP research field using social network analysis and scientometrics, and identifies its intellectual structure. The objectives are: (i) to trace the pattern of development of AHP research; (ii) to identify the patterns of collaboration among authors; (iii) to identify the most important papers underpinning the development of AHP; and (iv) to discover recent areas of interest. We analyse two types of networks: social networks, that is, co-authorship networks, and cognitive mapping or the network of disciplines affected by AHP. Our analyses are based on 8441 papers published between 1979 and 2017, retrieved from the ISI Web of Science database. To provide a longitudinal perspective on the pattern of evolution of AHP, we analyse these two types of networks during the three periods 1979–1990, 1991–2001 and 2002–2017. We provide some basic statistics on AHP journals and researchers, review the main topics and applications of integrated AHPs and provide direction for future research by highlighting some open questions.

Publication DOI: https://doi.org/10.1080/00207543.2017.1334976
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Additional Information: © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: AHP development,Analytic hierarchy process,Matrix consistency,Pairwise comparisons matrix (PCM),Review,Strategy and Management,Management Science and Operations Research,Industrial and Manufacturing Engineering
Publication ISSN: 1366-588X
Last Modified: 12 Dec 2024 08:16
Date Deposited: 12 Nov 2018 13:36
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.tan ... 43.2017.1334976 (Publisher URL)
PURE Output Type: Review article
Published Date: 2017-07-02
Published Online Date: 2017-06-14
Accepted Date: 2017-05-15
Authors: Emrouznejad, Ali (ORCID Profile 0000-0001-8094-4244)
Marra, Marianna

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