{"title":"Characterizing the defense industry for risk management: a systems approach","authors":"Imoh Antai, Roland Hellberg","doi":"10.1108/jdal-08-2023-0008","DOIUrl":null,"url":null,"abstract":"PurposeManagement and risk techniques within industries have been studied from various disciplines in nondefense-affiliated industries. Given the assumption that these techniques, strategies and mitigations used in one industry apply to other similar industries, this paper examines the defense industry for risk assessment. We characterize interactions for onward application to risk identification in the defense industry.Design/methodology/approachThis research employs a systems theory approach to the characterization of industry interactions, using three dimensions including environment, boundaries and relationships. It develops a framework for identifying relationship types within system-of-systems (SoS) environments by analyzing the features of interactions that occur in such environments.FindingsThe study’s findings show that different systems environments within the defense industry SoS exhibit different interaction characteristics and hence display different relationship patterns, which can indicate potential vulnerabilities.Research limitations/implicationsBy employing interaction as a means for evaluating potential risks, this research emphasizes the role played by relationship factors in reducing perceived risks and simultaneously increasing trust.Originality/valueThis paper intends to develop an initial snapshot of the relationship status of the Swedish defense industry in light of the global consolidation in this industry, which is a relevant contextual contribution.","PeriodicalId":32838,"journal":{"name":"Journal of Defense Analytics and Logistics","volume":"17 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Defense Analytics and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jdal-08-2023-0008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
PurposeManagement and risk techniques within industries have been studied from various disciplines in nondefense-affiliated industries. Given the assumption that these techniques, strategies and mitigations used in one industry apply to other similar industries, this paper examines the defense industry for risk assessment. We characterize interactions for onward application to risk identification in the defense industry.Design/methodology/approachThis research employs a systems theory approach to the characterization of industry interactions, using three dimensions including environment, boundaries and relationships. It develops a framework for identifying relationship types within system-of-systems (SoS) environments by analyzing the features of interactions that occur in such environments.FindingsThe study’s findings show that different systems environments within the defense industry SoS exhibit different interaction characteristics and hence display different relationship patterns, which can indicate potential vulnerabilities.Research limitations/implicationsBy employing interaction as a means for evaluating potential risks, this research emphasizes the role played by relationship factors in reducing perceived risks and simultaneously increasing trust.Originality/valueThis paper intends to develop an initial snapshot of the relationship status of the Swedish defense industry in light of the global consolidation in this industry, which is a relevant contextual contribution.
目的从不同学科角度研究了与国防无关的行业内的管理和风险技术。鉴于在一个行业中使用的这些技术、策略和缓解措施适用于其他类似行业的假设,本文研究了国防工业的风险评估。本研究采用系统理论方法,从环境、边界和关系三个维度来描述行业互动。研究结果研究结果表明,国防工业 SoS 中的不同系统环境表现出不同的交互特征,因此呈现出不同的关系模式,这可能预示着潜在的漏洞。研究局限性/意义通过将交互作为评估潜在风险的一种手段,本研究强调了关系因素在降低感知风险和同时提高信任度方面所发挥的作用。