{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T16:46:49Z","timestamp":1772210809621,"version":"3.50.1"},"reference-count":41,"publisher":"Emerald","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,9,28]]},"abstract":"<jats:sec>\n                  <jats:title>Purpose<\/jats:title>\n                  <jats:p>Risk management is crucial for all organizations, especially those in the global supply chain network. Failure may result in huge economic loses and damage to company reputation. Risk assessment usually involves quantitative and qualitative decisions. The purpose of this paper is to apply fuzzy logic to capture and inference qualitative decisions made in the House of Risk (HOR) assessment method.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design\/methodology\/approach<\/jats:title>\n                  <jats:p>In the existing HOR model, aggregate risk potential (ARP) is calculated by the risk event times the risk agent value and its occurrence. However, these values are usually obtained from interviews, which may involve subjective decisions. To overcome this shortcoming, a fuzzy-based approach is proposed to calculate ARP instead of the current deterministic approach.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Findings<\/jats:title>\n                  <jats:p>Risk analyses are conducted in five major categories of risk sources: internal, global environment, supplier, customer and third-party logistics provider. Moreover, each category is further divided into different sub-categories. The results indicate that the fuzzy-based HOR successfully inferences the inputs of the risk event, risk agents and its occurrence, and can prioritize the risk agents in order to take proactive decisions.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Practical implications<\/jats:title>\n                  <jats:p>The proposed fuzzy-based HOR model can be used practically by manufacturers in the global supply chain. It provides a framework for decision makers to systematically analyze the potential risks in different categories.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Originality\/value<\/jats:title>\n                  <jats:p>The proposed fuzzy-based HOR approach improves the traditional approach by more precise modeling of the qualitative decision-making process. It contributes to a more accurate reflection of the real situation that manufacturers are facing.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1108\/imds-10-2017-0467","type":"journal-article","created":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T07:31:52Z","timestamp":1533627112000},"page":"1463-1476","source":"Crossref","is-referenced-by-count":34,"title":["A fuzzy-based House of Risk assessment method for manufacturers in global supply chains"],"prefix":"10.1108","volume":"118","author":[{"given":"Hoi-Lam","family":"Ma","sequence":"first","affiliation":[{"name":"Department of Supply Chain and Information Management, Hang Seng Management College, Shatin, Hong Kong"}]},{"given":"Wai-Hung Collin","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Supply Chain and Information Management, Hang Seng Management College, Shatin, Hong Kong"}]}],"member":"140","published-online":{"date-parts":[[2018,8,7]]},"reference":[{"issue":"2","key":"2025072819523852700_ref001","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/0951-8320(95)00068-D","article-title":"Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis","volume":"50","author":"Bowles","year":"1995","journal-title":"Reliability Engineering and System Safety"},{"issue":"2","key":"2025072819523852700_ref002","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1080\/014461998372510","article-title":"An application of the risk management process (RMP) in capital investment decisions for an EHV transmission line construction project","volume":"16","author":"Burchett","year":"1998","journal-title":"Construction Management and Economics"},{"issue":"5","key":"2025072819523852700_ref003","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1108\/09600030410545436","article-title":"Mitigating supply chain risk through improved confidence","volume":"34","author":"Christopher","year":"2004","journal-title":"International Journal of Physical Distribution & Logistics Management"},{"issue":"2","key":"2025072819523852700_ref004","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1108\/09574090410700275","article-title":"Building the resilient supply chain","volume":"15","author":"Christopher","year":"2004","journal-title":"The International Journal of Logistics Management"},{"issue":"1","key":"2025072819523852700_ref005","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/JSYST.2010.2100194","article-title":"Minimization of order tardiness through collaboration strategy in multifactory production system","volume":"5","author":"Chung","year":"2011","journal-title":"IEEE Systems Journal"},{"issue":"18","key":"2025072819523852700_ref006","doi-asserted-by":"crossref","first-page":"7588","DOI":"10.1016\/j.eswa.2013.07.056","article-title":"A modified genetic algorithm for maximizing handling reliability and recyclability of distribution centers","volume":"40","author":"Chung","year":"2013","journal-title":"Expert Systems with Applications"},{"issue":"8","key":"2025072819523852700_ref007","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1111\/risa.12746","article-title":"Cascading delay risk of airline workforce deployments with crew pairing and schedule optimization","volume":"37","author":"Chung","year":"2017","journal-title":"Risk Analysis"},{"issue":"8","key":"2025072819523852700_ref008","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1108\/IMDS-04-2015-0155","article-title":"Managing disruption risk in express logistics via proactive planning","volume":"115","author":"Chung","year":"2015","journal-title":"Industrial Management & Data Systems"},{"key":"2025072819523852700_ref009","doi-asserted-by":"crossref","DOI":"10.1680\/spic.25998","volume-title":"Strategic Procurement in Construction","author":"Cox","year":"1998"},{"key":"2025072819523852700_ref010","volume-title":"Supply Chain Measurement","author":"Douglas","year":"2007"},{"issue":"2","key":"2025072819523852700_ref011","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1108\/13598540410527079","article-title":"Supply chain risk management","volume":"9","author":"Finch","year":"2004","journal-title":"Supply Chain Management: An International Journal"},{"key":"2025072819523852700_ref012","volume-title":"Public Sector Risk Management","author":"Fone","year":"2000"},{"issue":"1","key":"2025072819523852700_ref013","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.ejor.2006.08.028","article-title":"A stochastic model for risk management in global supply chain networks","volume":"182","author":"Goh","year":"2007","journal-title":"European Journal of Operational Research"},{"key":"2025072819523852700_ref014","unstructured":"ISO, Guide 73\n           (2009), \u201cRisk management\u2014vocabulary\u201d, ISO Guide 73, available at:\u2008www.iso.org\/obp\/ui\/\u266fiso:std:iso:guide:73:ed-1:v1:en.\u2008(accessed\u2008July 1, 2017)."},{"issue":"4","key":"2025072819523852700_ref015","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1080\/13675560310001627016","article-title":"Supply chain risk management: outlining an agenda for future research","volume":"6","author":"J\u00fcttner","year":"2003","journal-title":"International Journal of Logistics: Research & Applications"},{"issue":"2","key":"2025072819523852700_ref016","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1108\/09574090710816931","article-title":"Risk and supply chain management: creating a research agenda","volume":"18","author":"Khan","year":"2007","journal-title":"The International Journal of Logistics Management"},{"issue":"3","key":"2025072819523852700_ref017","first-page":"12","article-title":"Six steps to managing risk","volume":"10","author":"Kiser","year":"2006","journal-title":"Supply Chain Management Review"},{"issue":"4","key":"2025072819523852700_ref039","doi-asserted-by":"crossref","first-page":"828","DOI":"10.1016\/j.dss.2011.11.017","article-title":"Supply chain risk management in French companies","volume":"52","author":"Lavastre","year":"2012","journal-title":"Decision Support Systems"},{"issue":"1","key":"2025072819523852700_ref018","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1002\/j.2158-1592.2008.tb00072.x","article-title":"Global supply chain risk management","volume":"29","author":"Manuj","year":"2008","journal-title":"Journal of Business Logistics"},{"issue":"3","key":"2025072819523852700_ref019","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1108\/01443570910938989","article-title":"Supplier development with benchmarking as part of a comprehensive supplier risk management framework","volume":"29","author":"Matook","year":"2009","journal-title":"International Journal of Operations & Production Management"},{"key":"2025072819523852700_ref020","unstructured":"Musa, S.N.\n           (2012), \u201cSupply chain risk management: identification, evaluation and mitigation techniques\u201d, dissertations, ISSN 0345-7524; 1459, Linkoping Studies in Science and Technology, Link\u00f6ping University Electronic Press, Link\u00f6ping, p. 57."},{"issue":"5","key":"2025072819523852700_ref021","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1108\/09600030410545463","article-title":"Ericsson\u2019s proactive supply chain risk management approach after a serious sub-supplier accident","volume":"34","author":"Norrman","year":"2010","journal-title":"International Journal of Physical Distribution & Logistics Management"},{"issue":"6","key":"2025072819523852700_ref022","first-page":"953","article-title":"House of Risk: a model for proactive supply chain risk management","volume":"5","author":"Pujawan","year":"2009","journal-title":"Supply Chain management: Business Process Management Journal"},{"issue":"6","key":"2025072819523852700_ref023","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1108\/IMDS-07-2016-0264","article-title":"Supply chain uncertainties linked to information systems: a case study approach","volume":"117","author":"Ruel","year":"2017","journal-title":"Industrial Management & Data Systems"},{"key":"2025072819523852700_ref024","volume-title":"Project Management: Engineering, Technology, and Implementation","author":"Shtub","year":"1994"},{"key":"2025072819523852700_ref025","volume-title":"Project Risk Analysis and Management Guide (PRAM)","author":"Simon","year":"1997"},{"issue":"3","key":"2025072819523852700_ref026","first-page":"16","article-title":"Supply chain risk management: review, classification and future research directions","volume":"16","author":"Singhal","year":"2011","journal-title":"Journal of Business Science and Applied Management"},{"issue":"2","key":"2025072819523852700_ref300","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1108\/13598540410527051","article-title":"Methodology to mitigate supplier risk in an aerospace supply","volume":"9","author":"Sinha","year":"2004","journal-title":"Supply Chain Management: An International Journal"},{"issue":"2","key":"2025072819523852700_ref027","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1108\/09653569610112880","article-title":"Risk and organizational behavior: a research model","volume":"5","author":"Smallman","year":"1996","journal-title":"Disaster Prevention and Management"},{"key":"2025072819523852700_ref028","volume-title":"Supply Chain Management: Text and Cases","author":"Sople","year":"2012"},{"key":"2025072819523852700_ref029","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.tre.2015.04.002","article-title":"Integrated scheduling of a multi-product multi-factory manufacturing system with maritime transport limits","volume":"79","author":"Sun","year":"2015","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"2025072819523852700_ref030","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/j.ijpe.2005.12.006","article-title":"Perspectives in supply chain risk management","volume":"103","author":"Tang","year":"2006","journal-title":"International Journal of Production Economics"},{"key":"2025072819523852700_ref031","volume-title":"Supply Chain Council (SCC)","author":"The Supply Chain Council (SCC) Risk Research Team","year":"2008"},{"issue":"5","key":"2025072819523852700_ref032","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1108\/IMDS-09-2015-0368","article-title":"Value-oriented supply chain risk management: you get what you expect","volume":"116","author":"Trkman","year":"2016","journal-title":"Industrial Management & Data Systems"},{"issue":"1","key":"2025072819523852700_ref033","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1108\/IMDS-03-2015-0108","article-title":"Unlocking supply chain disruption risk within the Thai beverage industry","volume":"116","author":"Tse","year":"2016","journal-title":"Industrial Management & Data Systems"},{"issue":"6","key":"2025072819523852700_ref034","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1108\/13598541111171165","article-title":"Assessing and managing risks using the supply chain risk management","volume":"16","author":"Tummala","year":"2011","journal-title":"Supply Chain Management: An International Journal"},{"key":"2025072819523852700_ref035","first-page":"71","article-title":"A framework for project risk management","volume":"2","author":"Tummala","year":"1994","journal-title":"ME Research Bulletin"},{"issue":"4","key":"2025072819523852700_ref036","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1108\/02635570910948605","article-title":"Knowledge management adoption in times of crisis","volume":"109","author":"Wang","year":"2009","journal-title":"Industrial Management & Data Systems"},{"issue":"10","key":"2025072819523852700_ref037","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1108\/EUM0000000003918","article-title":"Application of system thinking to risk management: a review of the literature","volume":"33","author":"White","year":"1995","journal-title":"Management Decision"},{"key":"2025072819523852700_ref038","article-title":"Supply chain return and risk management\u2014a Delphi study and integrated optimization model","author":"Wong","year":"2014"},{"issue":"5","key":"2025072819523852700_ref040","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1108\/IMDS-11-2013-0477","article-title":"Assessing disaster risks in supply chains","volume":"114","author":"Lockamy","year":"2014","journal-title":"Industrial Management & Data Systems"}],"container-title":["Industrial Management &amp; Data Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IMDS-10-2017-0467\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/imds\/article-pdf\/118\/7\/1463\/1345138\/imds-10-2017-0467.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/www.emerald.com\/imds\/article-pdf\/118\/7\/1463\/1345138\/imds-10-2017-0467.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T23:52:47Z","timestamp":1753746767000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/imds\/article\/118\/7\/1463\/182288\/A-fuzzy-based-House-of-Risk-assessment-method-for"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,7]]},"references-count":41,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2018,9,28]]}},"URL":"https:\/\/doi.org\/10.1108\/imds-10-2017-0467","relation":{},"ISSN":["0263-5577","1758-5783"],"issn-type":[{"value":"0263-5577","type":"print"},{"value":"1758-5783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,7]]}}}