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PT AU BA BE GP AF BF CA TI SO SE BS LA DT CT CY CL SP HO DE ID AB C1 C3 RP EM RI OI FU FP FX CR NR TC Z9 U1 U2 PU PI PA SN EI BN J9 JI PD PY VL IS PN SU SI MA BP EP AR DI DL D2 EA PG WC WE SC GA PM OA HC HP DA UT J Fagundes, MVC; Teles, EO; de Melo, SABV; Freires, FGM Carvalho Fagundes, Marcus Vinicius; Teles, Eduardo Oliveira; Vieira de Melo, Silvio A. B.; Mendonca Freires, Francisco Gaudencio Decision-making models and support systems for supply chain risk: literature mapping and future research agenda EUROPEAN RESEARCH ON MANAGEMENT AND BUSINESS ECONOMICS English Article Risk model; Multicriteria decision; Stochastic and computational model; Bibliometrics BIG DATA ANALYTICS; LISTERIA-MONOCYTOGENES; MANAGEMENT; MITIGATION; INFORMATION; SCIENCE; SELECTION; POLICIES; DISRUPTIONS; SALMONELLA Supply chain disruptions have serious consequences for society and this has made supply chain risk management (SCRM) an attractive area for researchers and managers. In this paper, we use an objective literature mapping approach to identify, classify, and analyze decision-making models and support systems for SCRM, providing an agenda for future research. Through bibliometric networks of articles published in the Scopus database, we analyze the most influential decision-making models and support systems for SCRM, evaluate the main areas of current research, and provide insights for future research in this field. The main results are the following: we found that the identity of the area is structured in three groups of risk decision support models: (i) quantitative multicriteria decision models, (ii) stochastic decision-making models, and (iii) computational simulation/optimization models. We mapped six current research clusters: (i) conceptual and qualitative risk models, (ii) upstream supply chain risk models, (iii) downstream supply chain risk models, (iv) supply chain sustainability risk models, (v) stochastic and multicriteria decision risk models, and (vi) emerging techniques risk models. We identified seven future research clusters, with insights from further studies for: (i) tools to operate SCRM data, (ii) validation of risk models, (iii) computational improvement for data analysis, (iv) multi-level and multi-period supply chains, (v) agrifood risks, (vi) energy risks and (vii) sustainability risks. Finally, the future research agenda should prioritize SCRM's holistic vision, the relationship between Big Data, Industry 4.0 and SCRM, as well as emerging social and environmental risks. (C) 2020 AEDEM. Published by Elsevier Espana, S.L.U. [Carvalho Fagundes, Marcus Vinicius; Vieira de Melo, Silvio A. B.; Mendonca Freires, Francisco Gaudencio] Fed Univ Bahia UFBA, Grad Program Ind Engn PEI, Salvador, BA, Brazil; [Teles, Eduardo Oliveira] Fed Inst Bahia IFBA, Camacari, BA, Brazil; [Vieira de Melo, Silvio A. B.] Interdisciplinary Ctr Energy & Environm CIENAM, Salvador, BA, Brazil; [Carvalho Fagundes, Marcus Vinicius] Univ Fed Bahia, Polytech Sch, Grad Program Ind Engn, Aristides Novis St 2,6 Floor, BR-40210630 Salvador, BA, Brazil Universidade Federal da Bahia; Instituto Federal da Bahia (IFBA); Universidade Federal da Bahia Fagundes, MVC (corresponding author), Fed Univ Bahia UFBA, Grad Program Ind Engn PEI, Salvador, BA, Brazil.; Fagundes, MVC (corresponding author), Univ Fed Bahia, Polytech Sch, Grad Program Ind Engn, Aristides Novis St 2,6 Floor, BR-40210630 Salvador, BA, Brazil. marcus@uesb.edu.br; eduardo.teles@ifba.edu.br; sabvm@ufba.br; francisco.gaudencio@ufba.br Freires, Francisco Gaudencio Mendonça/AAQ-9319-2020; Vieira de Melo, Silvio/K-3630-2013 Freires, Francisco Gaudencio Mendonça/0000-0001-9622-8242; Oliveira Teles, Eduardo/0000-0003-4926-1423; Vieira de Melo, Silvio/0000-0002-8617-3724 Abbey JD, 2017, PROD OPER MANAG, V26, P100, DOI 10.1111/poms.12628; Aloini D, 2012, BUS PROCESS MANAG J, V18, P735, DOI 10.1108/14637151211270135; 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RES. MANAG. BUS.ECON. MAY-AUG 2020 26 2 63 70 10.1016/j.iedeen.2020.02.001 http://dx.doi.org/10.1016/j.iedeen.2020.02.001 8 Business; Economics; Management Social Science Citation Index (SSCI) Business & Economics ML8SU gold 2023-01-18 WOS:000549729300002