|
|
|
| Simulation Research of Tacit Knowledge Transfer Based on Chua's Chaos |
| Su Yi 1,Liu Tonghe 1,Zhang Aoran2 |
| (1. School of Economics and Management, Harbin Engineering University, Harbin 150001,China;2. Heilongjiang Centre for Foreign Scientific and technological cooperation, Harbin 150028,China) |
|
|
|
|
Abstract In the era of knowledge economy, the efficient transfer of knowledge has become the key to the success of enterprises, and plays an increasingly important role in the innovation and development of enterprises. The process of knowledge transfer has become a hot issue in management research. However, scholars tend to focus on the process of explicit knowledge transfer and there is less research on the process of tacit knowledge transfer. Because the transfer process of tacit knowledge is significantly different from that of explicit knowledge which is a two-way transfer process of mutual communication, mutual inspiration and mutual promotion between the two subjects combined with expression and feedback. Addressing the issues, the research aims to study the tacit knowledge transfer by constructing Chua's chaotic tacit knowledge transfer model. The study introduces a nonlinear science paradigm for the study of tacit knowledge transfer, and provides a new research idea and method for scholars.#br#First of all,on the basis of the Chua's chaotic model in chaos theory and the existing literature review of tacit knowledge transfer, the Chua's chaotic tacit knowledge transfer model is constructed considering the characteristics of two-way nonlinear tacit knowledge transfer. Then the model is deduced and decomposed, and the simulation analysis is carried out by using Multisim14.0 to study the transfer rule of tacit knowledge between subjects. The research shows that firstly the transfer of tacit knowledge between two subjects is greatly affected by resistance, and the change of small resistance may bring about great changes in the type of tacit knowledge transfer, which is also one of the characteristics of Chaos, that the whole system is extremely sensitive to the initial value. Secondly according to the visual simulation by Multism14.0 , it is observed that with the changes of the transfer willingness of the sender, the transfer ability of the sender, the absorption motivation of the receiver, the strength of cooperation and trust and the degree of interaction and communication (namely, the change of the transfer resistance TKTR), there are five transfer types of tacit knowledge. The full resistance type of tacit knowledge transfer is that tacit knowledge cannot be transferred and shows stagnation. The high resistance type of tacit knowledge transfer is the Rossler attractor form with poor tacit knowledge transfer effect. The resistance type of tacit knowledge transfer is a double attractor form with high tacit knowledge transfer effect. The low resistance type of tacit knowledge transfer which is very smooth presents a nonlinear complexity form. The zero-resistance type of tacit knowledge transfer is a linear form which means the tacit knowledge transfer between the two subjects is super smooth. Both sides of the knowledge subject can adjust the resistance of tacit knowledge transfer from internal and external incentives, create a learning organizational culture atmosphere, and build a face-to-face communication platform, so as to improve the effect of tacit knowledge transfer. Lastly, the research introduces a real case in the automobile industry to prove the effectiveness of the Chua's chaotic tacit knowledge transfer model.#br#Through the introduction of the research paradigm of chaotic dynamics, Chua's chaotic tacit knowledge transfer model is constructed and added to the existing literature on traditional linear knowledge transfer model which does not apply to the tacit knowledge, and the study expresses the shortage of the two-way interaction between feedback and transfer, providing a new research method and means. Furthermore the study conducts the simulation analysis through Multisim14.0 software to explore the influence of the change of tacit knowledge transfer resistance on the effect of tacit knowledge transfer with changes of the transfer willingness of the sender, the transfer ability of the sender, the absorption motivation of the receiver, the strength of cooperation and trust and the degree of interaction between the two knowledge subjects, and provides a quantitative research method for the study on tacit knowledge transfer. Future research will be focused on the empirical case study.#br#
|
|
Received: 28 June 2022
|
|
|
|
|
|
[1] 陈怀超,卢彦丞,丛贞,等.知识型服务企业员工与客户隐性知识共享的系统动力学研究[J].管理评论,2020,32(2):127-138.
[2] SIEMENS W,SCHWARZER G,ROHE M S,et al.Reply to letter to the editor by Peters:knowledge transfer is the key[J].Journal of Clinical Epidemiology,2021,138(1):235-236.
[3] BABIC T,MUSA Z.Knowledge transfer through recognition and implementation of the transformational team member Role[C]//2021 44th International Convention on Information,Communication and Electronic Technology (MIPRO).Opatija:IEEE,2021:765-770.
[4] DENNIS A,MICHAEL W,JOHN H.A process model of tacit knowledge transfer between sales and marketing[J].Industrial Marketing Management,2021,93(1):259-269.
[5] NARENDRA U P,PRADEEP B S,PRABHAKAR M.Externalization of tacit knowledge in a knowledge management system using chat bots[C].//2017 3rd International Conference on Science in Information Technology (ICSI Tech).Bengaluru:Institute of Electrical and Electronics Engineers Inc,2017:613-617.
[6] ZHANG J H,YE J W,LI F F.Research on multi-case induced adaptation of explicit cases of tacit knowledge[J].Information Studies:Theory & Application,2020,43(1):98-103.
[7] 金胜勇,杜坤.基于过程分解的隐性知识转移影响因素分析[J].情报理论与实践,2012,35(4):21-24.
[8] 施琴芬,崔志明,梁凯.隐性知识转移的特征与模式分析[J].自然辩证法研究,2004,20(2):62-64,68.
[9] 高鹏,安立仁.隐性知识存在性表征及其传递过程模型[J].科研管理,2015,36(11):131-138.
[10] RUMANTI A A,SAMADHI T M A A,WIRATMADJA I I.Impact of tacit and explicit knowledge on knowledge sharing at Indonesian small and medium enterprise[C].//2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).Bali:IEEE,2016:11-15.
[11] PERRONOSKI F L J.Managing peer-to-peer cooperation using knowledge-based trust and encouraging the willingness to share tacit knowledge[J].Open Journal of Business and Management,2021,9(3):1246-1262.
[12] 晏自翔,卞艺杰.隐性知识转移匹配性分析及对策研究[J].情报理论与实践,2017,40(3):48-52,59.
[13] HSSEINOIUN S,ABDULLAH R,JUSOH Y Y,et al.Information system success and knowledge grid integration in facilitating knowledge sharing among big data community[C]//2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP).Kota Kinabalu:IEEE,2018:1-5.
[14] CHRISTIAN S,CONSTANCE H,GIANMARIO V.Transferring knowledge by transferring individuals:innovative technology use and organizational performance in multiunit firms[J].Organization Science,2021,33(1):253-274.
[15] 蒋永康,梅强.基于鱼骨图和层次分析法的知识转移粘滞影响因素研究[J].科技管理研究,2021,41(10):169-177.
[16] 张建华,李方方,刘艺琳,等.融合TWD与FRS的隐性知识转移研究[J].计算机科学与探索,2021,16(1):1-10.
[17] 任旭,刘佳.魅力型领导对项目团队内知识转移影响研究[J].科研管理,2021,42(6):150-158.
[18] SUZUKI S,TAKEDA S,TANIDA R,et al.Knowledge transferred fine-tuning for anti-aliased convolutional neural network in data-limited situation[C]//2021 IEEE International Conference on Image Processing.Anchorage:IEEE,2021:864-868.
[19] NGUYEN L T,LEE K,SHIM B.Stochasticity and skip connection improve knowledge transfer[C]//2020 28th European Signal Processing Conference (EUSIPCO).Amsterdam:IEEE,2021:1537-1541.
[20] MARINHO A J,COUTO J.BIM's contribution to tacit knowledge sharing in construction projects–a systematic review[C]//2021 16th Iberian Conference on Information Systems and Technologies (CISTI).Chaves:IEEE,2021:1-7.
[21] CHUGH M,BHADORIA.R S.Analysis of the Indian IT sector–investigating the role of technology for software process improvement through knowledge management[C]//2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT).Bhopal:IEEE,2021:815-820.
[22] COSTA C,PERES P.A model for knowledge management in the e-learning and innovation unit on the polytechnic of porto[C]//2021 16th Iberian Conference on Information Systems and Technologies (CISTI).Chaves:IEEE,2021:1-5.
[23] MOHAMED A W,ABUTARBOUSH H F,HADI A A,et al.Gaining-sharing knowledge based algorithm with adaptive parameters for engineering optimization[J].IEEE Access,2021,9(1):65934-65946.
[24] KRULL E,SMITH P,HUSTED K.Knowledge sharing in road mapping:toward a multilevel explanation[J].IEEE Transactions on Engineering Management,2022,69(1):67-80.
[25] LUCA D,ALBERTO F,ARMANDO P,et al.The role of external embeddedness and knowledge management as antecedents of ambidexterity and performances in Italian SMEs[J].IEEE Transactions on Engineering Management,2019,68(2):360-369.
[26] NAIR S R,PILLAI K G,DEMIRBAG M.Reaping benefits from knowledge transfer–the role of confidence in knowledge[J].Journal of Knowledge Management,2021,25(5):1059-1080.
[27] WIRATMADJA I I,TAHIR N.Supplier development program through knowledge sharing effectiveness:a mentorship approach[J].IEEE Access,2021,9:13464-13475.
[28] AHEDO V,SANTOS J I,GALAN J M.Knowledge transfer in commercial feature extraction for the retail store location problem[J].IEEE Access,2021,9:132967-132979.
[29] ROY R,SARKAR S.Knowledge transfer in the precommercialization phase of a new industry:star scientists' (im) mobility in the presence of a potential lead user[J].IEEE Transactions on Engineering Management,2023,70(10):3373-3384.
[30] AGARWAL U A,ANANTATMULA V.Psychological safety effects on knowledge sharing in project teams[J].IEEE Transactions on Engineering Management,2023,70(11):3876-3886.
[31] NIKOLAOS P,MARIA T,ANASTASIOS T.Probabilistic knowledge transfer for lightweight deep representation learning[J].IEEE Transactions on Neural Networks and Learning Systems,2020,32(5):2030-2039.
[32] POTLURI R M,ANJAM M.Knowledge transfer in UAE higher education institutions during Covid-19 pandemic:learners' cannot learn surgery by watching[C]//2021 2nd International Conference on Computation,Automation and Knowledge Management (ICCAKM).Dubai:IEEE,2021:25-30.
[33] SAMOILA C,URSUTIU D.Correlations determined by remote experiment used for knowledge transfer[J].IEEE Transactions on Education,2021,64(23):18-23.
[34] LAKOFF G,JOHNSON M.Metaphors we live by[M].Chicago:University of Chicago press,1980:10.
[35] 黄华新.认知科学视域中隐喻的表达与理解[J].中国社会科学,2020,41(5):48-64,205.
[36] MADAN,RABINDER N.Chua's circuit:a paradigm for chaos[M].River Edge:World Scientific Publishing Company,1993.
[37] MATSUMOTO,TAKASHI.A chaotic attractor from chua's circuit[J].IEEE Transactions on Circuits and Systems,1984,31(12):1055–1058.
[38] 吴小桔,吴洁,李鹏,等.产业联盟企业知识转移博弈分析[J].统计与决策,2017,33(4):180-183.
[39] 董坤,许海云,崔斌.知识流动研究述评[J].情报学报,2020,39(10):1120-1132.
[40] 刘春艳.创意团队隐性知识转移绩效影响因素的实证研究[J].数理统计与管理,2016,35(3):391-402.
[41] 严贝妮,李宇佳.基于认知结构的图书馆隐性知识转移研究[J].情报理论与实践,2015,38(10):89-94.
[42] 卢艳秋,孙丹丹,赵彬.代际知识转移的关键影响因素识别研究[J].情报科学,2020,38(10):90-96.
[43] 张向先,李昆,郭顺利.企业研发团队隐性知识转移绩效的影响因素及实证研究——基于知识生态的视角[J].情报理论与实践,2016,39(10):57-64.
[44] HARDY G H,WRIGHT E M.An introduction to the theory of numbers[M].Oxford:Clarendon Press,1979.
[45] JEFFREYS H,JEFFREYS B S.Methods of Mathematical Physics[M].Cambridge:Cambridge University Press,1988.
[46] 包伯成.混沌电路导论[M].北京:科学出版社,2013.
[47] 王向阳,郗玉娟,谢静思.基于区域创新系统的知识转移模型研究[J].图书情报工作,2017,61(17):13-20.
[48] 李春发,赵乐生.激励机制影响新创企业知识转移的系统动力学分析[J].科技进步与对策,2017,34(13):128-135.
[49] 马鸿佳,宋春华,毕强.基于创业生态系统的多层级知识转移模型研究[J].图书情报工作,2016,60(14):16-23.
[50] 张紫璇,陈怀超,吕妍妍.知识异质性对集群企业知识共享绩效的影响研究——有中介的调节模型[J].软科学,2021,35(10):79-84.
|
|
|
|
