基于模糊最佳-最差法(FBWM)的知识获取过程有效动机模型

IF 0.9 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Mostafa Jafari, Mohammadreza Zahedi, Shayan Naghdi Khanachah
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引用次数: 0

摘要

在知识经济时代,以知识为基础的组织尤其会为其员工开设一个专门的账户。知识获取对组织来说很重要,因为它使他们能够提高技能,创造价值、信誉和竞争优势。本研究旨在确定知识获取的有效激励因素,并对这些因素进行优先排序,同时为管理者提供一个框架,使知识工作者能够分享知识,增加他们克服当前问题的愿望。该组织已经收到了报酬。本研究的统计人口为300名汽车行业的管理人员和专家,在本研究中,使用了20名专家的意见来分析结果。运用模糊分析技术对结果进行分析,回答研究问题。应用该方法计算结果表明,在影响知识获取的6个因素中,行为因素对知识获取的影响最大,权重为0.296。其次,组织中的信息技术因素,权重为0.17,在影响知识获取的水平上排名第二。此外,组织学习标准排名第三,权重为0.165。其次是组织文化、奖励和结构,权重分别为0.153、0.094和0.121。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Presenting an Effective Motivational Model on the Knowledge Acquisition Process Using Fuzzy Best-Worst Method (FBWM)
In the knowledge economy, knowledge-based organisations, in particular, open a special account for their employees. Knowledge acquisition is important for organisations, because it enables them to improve their skills and creates value, credibility and competitive advantage. This research has been made to identify the motivational factors effective for knowledge acquisition and prioritise these factors, as well as providing a framework for managers to enable knowledge sharing from knowledge workers and increase their desire to overcome current problems. The organisation has been paid. The statistical population of the research is 300 managers and experts in the automotive industry, and in this research, the opinions of 20 experts have been used to analyse the results. The results were analysed using the fuzzy technique to answer the research questions. The calculations obtained by applying the proposed method show that among the six factors affecting knowledge acquisition, Behavioural factors, with a weight of 0.296, have the most impact on knowledge acquisition compared to other factors. After that, the factor of Information Technology in the organisation, with a weight of 0.17, is in second place concerning the level of influence on knowledge acquisition. Also, the Organisational Learning Criteria are ranked third with a weight of 0.165. And the factors of Organisational Culture, Reward and Structure are placed in the next priorities with weights of 0.153, 0.094 and 0.121, respectively.
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来源期刊
Journal of Information & Knowledge Management
Journal of Information & Knowledge Management INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
2.40
自引率
25.00%
发文量
95
期刊介绍: JIKM is a refereed journal published quarterly by World Scientific and dedicated to the exchange of the latest research and practical information in the field of information processing and knowledge management. The journal publishes original research and case studies by academic, business and government contributors on all aspects of information processing, information management, knowledge management, tools, techniques and technologies, knowledge creation and sharing, best practices, policies and guidelines. JIKM is an international journal aimed at providing quality information to subscribers around the world. Managed by an international editorial board, JIKM positions itself as one of the leading scholarly journals in the field of information processing and knowledge management. It is a good reference for both information and knowledge management professionals. The journal covers key areas in the field of information and knowledge management. Research papers, practical applications, working papers, and case studies are invited in the following areas: -Business intelligence and competitive intelligence -Communication and organizational culture -e-Learning and life long learning -Electronic records and document management -Information processing and information management -Information organization, taxonomies and ontology -Intellectual capital -Knowledge creation, retention, sharing and transfer -Knowledge discovery, data and text mining -Knowledge management and innovations -Knowledge management education -Knowledge management tools and technologies -Knowledge management measurements -Knowledge professionals and leadership -Learning organization and organizational learning -Practical implementations of knowledge management
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