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Additionally, the evaluation information given by QFD members may widely differ due to their different knowledge and background. Furthermore, the psychological behaviours of QFD members also greatly influence the final prioritization of technical characteristics. Hence, this paper proposes a novel QFD framework to prioritize technical characteristics using a consensus-reaching process and prospect theory when large numbers of QFD members are involved. In the large-scale QFD framework, prospect theory is generally utilized to depict the psychological behaviours of QFD members. Then, QFD members are divided into several clusters. Eventually, a consensus-reaching process is established to assist QFD members in reaching a consensus. To verify the practicability of the presented framework, this paper applies it to the evaluation of contingency plan to determine the critical measures.<\/jats:p>","DOI":"10.3233\/jifs-202326","type":"journal-article","created":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T14:21:29Z","timestamp":1622557289000},"page":"575-594","source":"Crossref","is-referenced-by-count":3,"title":["Integrating a prospect theory-based consensus-reaching process into large-scale quality function deployment and its application in the evaluation of contingency plan"],"prefix":"10.1177","volume":"41","author":[{"given":"Yan","family":"Zhu","sequence":"first","affiliation":[{"name":"Business School, Hohai University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuanhao","family":"Fan","sequence":"additional","affiliation":[{"name":"Business School, Hohai University, Nanjing, 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