提出一种考虑供应链知识管理挑战的混合模糊模型:案例研究

Ahmad Morshedi, Navid Nezafati, Sajjad Shokouhyar, Mehrab Tanhaeean
{"title":"提出一种考虑供应链知识管理挑战的混合模糊模型:案例研究","authors":"Ahmad Morshedi, Navid Nezafati, Sajjad Shokouhyar, Mehrab Tanhaeean","doi":"10.1504/ijkms.2023.132046","DOIUrl":null,"url":null,"abstract":"The steel industry is considered the second most vital industry in Iran after oil and petrochemical industry. Correspondingly, KM implementation is encountered with challenges and obstacles leading to cost enhancement and resources annihilation. This study aims at reducing the uncertainty made by expert judgments in the procedure of KM implementation using linguistic degrees. In this paper, a fuzzy theory is used to decrease the linguistic inaccuracy and the vagueness of human judgment. Firstly, challenges of KM were identified in the literature. Then, challenges corresponding to steel industry SC were finalised, short-listed and merged by expert judgment through Delphi fuzzy method. Also, new solutions were proposed by experts to cope with KM challenges. Afterwards, the fuzzy analytical hierarchy process (FAHP) is exploited to rank and weight determination of challenges and solutions. Using the fuzzy inference system (FIS) for improving KM implementation and managing the challenges is the next stage.","PeriodicalId":39285,"journal":{"name":"International Journal of Knowledge Management Studies","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Proposing a hybrid fuzzy model to consider knowledge management challenges in supply chain: case study\",\"authors\":\"Ahmad Morshedi, Navid Nezafati, Sajjad Shokouhyar, Mehrab Tanhaeean\",\"doi\":\"10.1504/ijkms.2023.132046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The steel industry is considered the second most vital industry in Iran after oil and petrochemical industry. Correspondingly, KM implementation is encountered with challenges and obstacles leading to cost enhancement and resources annihilation. This study aims at reducing the uncertainty made by expert judgments in the procedure of KM implementation using linguistic degrees. In this paper, a fuzzy theory is used to decrease the linguistic inaccuracy and the vagueness of human judgment. Firstly, challenges of KM were identified in the literature. Then, challenges corresponding to steel industry SC were finalised, short-listed and merged by expert judgment through Delphi fuzzy method. Also, new solutions were proposed by experts to cope with KM challenges. Afterwards, the fuzzy analytical hierarchy process (FAHP) is exploited to rank and weight determination of challenges and solutions. Using the fuzzy inference system (FIS) for improving KM implementation and managing the challenges is the next stage.\",\"PeriodicalId\":39285,\"journal\":{\"name\":\"International Journal of Knowledge Management Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Knowledge Management Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijkms.2023.132046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Knowledge Management Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijkms.2023.132046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 1

摘要

钢铁工业被认为是伊朗仅次于石油和石化工业的第二大产业。相应的,知识管理的实施也面临着成本增加和资源消耗的挑战和障碍。本研究旨在利用语言度减少专家判断在知识管理实施过程中的不确定性。本文采用模糊理论来减少语言的不准确性和人类判断的模糊性。首先,在文献中指出了KM面临的挑战。然后,通过德尔菲模糊评判法,对钢铁行业供应链所对应的挑战进行确定、筛选和合并。此外,专家们还提出了应对知识管理挑战的新方案。然后,利用模糊层次分析法(FAHP)对挑战和解决方案进行排序和权重确定。利用模糊推理系统(FIS)来改进知识管理的实施和管理挑战是下一个阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Proposing a hybrid fuzzy model to consider knowledge management challenges in supply chain: case study
The steel industry is considered the second most vital industry in Iran after oil and petrochemical industry. Correspondingly, KM implementation is encountered with challenges and obstacles leading to cost enhancement and resources annihilation. This study aims at reducing the uncertainty made by expert judgments in the procedure of KM implementation using linguistic degrees. In this paper, a fuzzy theory is used to decrease the linguistic inaccuracy and the vagueness of human judgment. Firstly, challenges of KM were identified in the literature. Then, challenges corresponding to steel industry SC were finalised, short-listed and merged by expert judgment through Delphi fuzzy method. Also, new solutions were proposed by experts to cope with KM challenges. Afterwards, the fuzzy analytical hierarchy process (FAHP) is exploited to rank and weight determination of challenges and solutions. Using the fuzzy inference system (FIS) for improving KM implementation and managing the challenges is the next stage.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Knowledge Management Studies
International Journal of Knowledge Management Studies Decision Sciences-Information Systems and Management
CiteScore
1.90
自引率
14.30%
发文量
26
期刊介绍: “Knowledge as a key resource will contribute to improved organisational performance if it is properly leveraged and harnessed." IJKMS is a refereed and authoritative source of information in the field of knowledge management and related aspects. Topics covered include: -Knowledge creation, acquisition, codification, classification, organisation -Knowledge sharing, transfer, application, protection, retention -KM design and development -KM management and implementation -Measurement of knowledge management performance and benefits -Techniques and methods for managing knowledge -Technological tools for knowledge management, e.g. -knowledge bases, collaborative tools -expert/intelligent systems, knowledge mining/extraction -content/document management -portals, search and retrieval -e-learning, virtual reality, business intelligence, etc. -Human, organisational, strategic, behavioural, socio-cultural aspects -Public policy, economics, education policy, intellectual capital, ethics -Other related aspects of KM
期刊最新文献
Organisational learning problems and implementation concerns in project-based organisations Building organisational resilience through knowledge management in banking sector Proposing a hybrid fuzzy model to consider knowledge management challenges in supply chain: case study The effect of the components of intellectual capital on organisational performance: an evidence from the telecom industry Doing without knowing: an exploration of knowledge management in think tanks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1