A new approach is proposed in this study for accountable capability improvement based on interpretable capability evaluation using the belief rule base(BRB).Firstly,a capability evaluation model is constructed and opt...A new approach is proposed in this study for accountable capability improvement based on interpretable capability evaluation using the belief rule base(BRB).Firstly,a capability evaluation model is constructed and optimized.Then,the key sub-capabilities are identified by quantitatively calculating the contributions made by each sub-capability to the overall capability.Finally,the overall capability is improved by optimizing the identified key sub-capabilities.The theoretical contributions of the proposed approach are as follows.(i)An interpretable capability evaluation model is constructed by employing BRB which can provide complete access to decision-makers.(ii)Key sub-capabilities are identified according to the quantitative contribution analysis results.(iii)Accountable capability improvement is carried out by only optimizing the identified key sub-capabilities.Case study results show that“Surveillance”,“Positioning”,and“Identification”are identified as key sub-capabilities with a summed contribution of 75.55%in an analytical and deducible fashion based on the interpretable capability evaluation model.As a result,the overall capability is improved by optimizing only the identified key sub-capabilities.The overall capability can be greatly improved from 59.20%to 81.80%with a minimum cost of 397.Furthermore,this paper also investigates how optimizing the BRB with more collected data would affect the evaluation results:only optimizing“Surveillance”and“Positioning”can also improve the overall capability to 81.34%with a cost of 370,which thus validates the efficiency of the proposed approach.展开更多
在新一代信息技术革命驱动下,ICT(Information and Communications Technology,信息通信技术)制造业产业竞争力越来越受制于供应链韧性,不断整合、构建和重新配置内外部资源,优化生产要素组合是企业增强供应链韧性的有效途径。以2018-2...在新一代信息技术革命驱动下,ICT(Information and Communications Technology,信息通信技术)制造业产业竞争力越来越受制于供应链韧性,不断整合、构建和重新配置内外部资源,优化生产要素组合是企业增强供应链韧性的有效途径。以2018-2022年ICT制造业上市企业为研究样本,选取新型生产要素代理变量,构建供应链韧性评价指标体系,运用面板数据回归模型揭示新型生产要素对ICT制造业供应链韧性的影响。研究发现:(1)数据要素、管理要素对ICT制造业供应链韧性呈显著正向影响,知识要素、技术要素呈显著负向影响,当组合作用时数据要素和知识要素之间存在替代效应,即数据要素水平普遍提升时,知识悖论风险对供应链韧性的负面影响受到一定程度抑制;(2)ICT制造业产业上下游企业供应链韧性存在显著差异,下游企业供应链韧性优于上游企业,且新型要素对上下游供应链韧性具有不同作用;(3)产业地区间竞争格局分化明显,新型要素对供应链韧性的影响存在区域异质性。据此,提出如下建议:促进各要素间协同应用,加强安全管理;促进上下游供应链伙伴间沟通合作,深化供应链各环节协同配套;鼓励中西部地区ICT制造业企业发展,引导新型生产要素在区域之间、产业之间双向流动,培育产业竞争新优势。展开更多
基金supported by the National Natural Science Foundation of China(72471067,72431011,72471238,72231011,62303474,72301286)the Fundamental Research Funds for the Provincial Universities of Zhejiang(GK239909299001-010).
文摘A new approach is proposed in this study for accountable capability improvement based on interpretable capability evaluation using the belief rule base(BRB).Firstly,a capability evaluation model is constructed and optimized.Then,the key sub-capabilities are identified by quantitatively calculating the contributions made by each sub-capability to the overall capability.Finally,the overall capability is improved by optimizing the identified key sub-capabilities.The theoretical contributions of the proposed approach are as follows.(i)An interpretable capability evaluation model is constructed by employing BRB which can provide complete access to decision-makers.(ii)Key sub-capabilities are identified according to the quantitative contribution analysis results.(iii)Accountable capability improvement is carried out by only optimizing the identified key sub-capabilities.Case study results show that“Surveillance”,“Positioning”,and“Identification”are identified as key sub-capabilities with a summed contribution of 75.55%in an analytical and deducible fashion based on the interpretable capability evaluation model.As a result,the overall capability is improved by optimizing only the identified key sub-capabilities.The overall capability can be greatly improved from 59.20%to 81.80%with a minimum cost of 397.Furthermore,this paper also investigates how optimizing the BRB with more collected data would affect the evaluation results:only optimizing“Surveillance”and“Positioning”can also improve the overall capability to 81.34%with a cost of 370,which thus validates the efficiency of the proposed approach.
文摘在新一代信息技术革命驱动下,ICT(Information and Communications Technology,信息通信技术)制造业产业竞争力越来越受制于供应链韧性,不断整合、构建和重新配置内外部资源,优化生产要素组合是企业增强供应链韧性的有效途径。以2018-2022年ICT制造业上市企业为研究样本,选取新型生产要素代理变量,构建供应链韧性评价指标体系,运用面板数据回归模型揭示新型生产要素对ICT制造业供应链韧性的影响。研究发现:(1)数据要素、管理要素对ICT制造业供应链韧性呈显著正向影响,知识要素、技术要素呈显著负向影响,当组合作用时数据要素和知识要素之间存在替代效应,即数据要素水平普遍提升时,知识悖论风险对供应链韧性的负面影响受到一定程度抑制;(2)ICT制造业产业上下游企业供应链韧性存在显著差异,下游企业供应链韧性优于上游企业,且新型要素对上下游供应链韧性具有不同作用;(3)产业地区间竞争格局分化明显,新型要素对供应链韧性的影响存在区域异质性。据此,提出如下建议:促进各要素间协同应用,加强安全管理;促进上下游供应链伙伴间沟通合作,深化供应链各环节协同配套;鼓励中西部地区ICT制造业企业发展,引导新型生产要素在区域之间、产业之间双向流动,培育产业竞争新优势。
