Presenting an Effective Motivational Model on the Knowledge Acquisition Process Using Fuzzy Best-Worst Method (FBWM)

被引:1
|
作者
Jafari, Mostafa [1 ]
Zahedi, Mohammadreza [2 ]
Khanachah, Shayan Naghdi [1 ]
机构
[1] Iran Univ Sci & Technol, Dept Ind Engn, Tehran, Iran
[2] Malek Ashtar Univ Technol, Dept Ind Engn, Tehran, Iran
关键词
Knowledge acquisition; knowledge management; motivation; fuzzy; MANAGEMENT;
D O I
10.1142/S0219649223500612
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
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.
引用
下载
收藏
页数:18
相关论文
共 50 条
  • [1] A Fuzzy Best-Worst Method Based on the Fuzzy Interval Scale
    Goldani, Nastaran
    Kazemi, Mostafa
    ADVANCES IN BEST-WORST METHOD, BWM2022, 2023, : 59 - 73
  • [2] Fuzzy applications of Best-Worst method in manufacturing environment
    Sofuoglu, Mehmet Alper
    SOFT COMPUTING, 2020, 24 (01) : 647 - 659
  • [3] Decision Making with Intuitionistic Fuzzy Best-Worst Method
    Cheng, Xianjuan
    Chen, Changxiong
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 237
  • [4] Prioritization of used aircraft acquisition criteria: A fuzzy best-worst method (BWM)-based approach
    Gao, Fei
    Wang, Weixiang
    Bi, Chencan
    Bi, Wenhao
    Zhang, An
    JOURNAL OF AIR TRANSPORT MANAGEMENT, 2023, 107
  • [5] Comparing best-worst method and full consistency method in a fuzzy environment
    Haqbin, Arash
    DECISION SCIENCE LETTERS, 2022, 11 (02) : 181 - 192
  • [6] A fuzzy best-worst method (BWM) to assess the potential environmental impacts of the process of ship recycling
    Soner, Omer
    Celik, Erkan
    Akyuz, Emre
    MARITIME POLICY & MANAGEMENT, 2022, 49 (03) : 396 - 409
  • [7] Modeling the factors affecting unsafe behaviors using the fuzzy best-worst method and fuzzy cognitive map
    Malakoutikhah, Mahdi
    Alimohammadlou, Moslem
    Jahangiri, Mehdi
    Rabiei, Hadiseh
    Faghihi, Seyed Aliakbar
    Kamalinia, Mojtaba
    APPLIED SOFT COMPUTING, 2022, 114
  • [8] THE ADVANTAGES OF USING BEST-WORST MODEL FOR HYBRID PRODUCTS
    Tamas, Anca
    Popescu, Ruxandra
    PROCEEDINGS OF THE 7TH ECONOMICS & FINANCE CONFERENCE, 2017, : 354 - 363
  • [9] A Novel Extension of Best-Worst Method With Intuitionistic Fuzzy Reference Comparisons
    Wan, Shuping
    Dong, Jiuying
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (06) : 1698 - 1711
  • [10] An interval type-2 hesitant fuzzy best-worst method
    Norouzi, Ashraf
    Hajiagha, Hossein Razavi
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (06) : 11625 - 11652