Study on reverse knowledge transfer strategy for overseas subsidiaries of large-scale manufacturing enterprises in Zhejiang

2013 ◽  
Author(s):  
Haitao Liang
Keyword(s):  
Knowledge Transfer ◽  
Large Scale ◽  
Manufacturing Enterprises ◽  
Reverse Knowledge Transfer ◽  
Overseas Subsidiaries

scholarly journals The Impact of Different Internet Application Contexts on Knowledge Transfer between Enterprises

Systems ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 87
Author(s):  
Xingong Li ◽  
Xiaokai Li
Keyword(s):  
Knowledge Transfer ◽  
Flow Diagram ◽  
Facilitation Effect ◽  
Manufacturing Enterprises ◽  
Internet Resources ◽  
Modular Production ◽  
Reverse Knowledge Transfer ◽  
Internet Application ◽  
Causality Model ◽  
The Impact

This paper investigates the effect of different Internet application scenarios on the forward and reverse knowledge transfer between architecture enterprises and component enterprises in the context of modular production in manufacturing enterprises. After dividing the Internet contexts into three the perspectives of Internet tools, Internet platforms, and Internet resources, this paper adopts a system dynamics approach to construct a causality model and a system flow diagram of the influence of different Internet contexts on the knowledge transfer between architecture enterprises and component enterprises, and uses Vensim PLE software to simulate and conduct a sensitivity analysis of the model. The results show that the three Internet contexts, namely Internet tools, Internet platforms, and Internet resources, can promote both positive and negative knowledge transfer between architecture enterprises and component enterprises, and exhibit a steadily growing trend of promotion; Internet tools and Internet resources are more conducive to positive knowledge transfer from architecture enterprises to component enterprises, and Internet platforms have a stronger facilitation effect on the reverse knowledge transfer from the component enterprises to the architecture enterprises. Our research offers useful recommendations for businesses on how to utilize various Internet settings to promote and assist effective knowledge transfer.

scholarly journals A Confrontation Decision-Making Method with Deep Reinforcement Learning and Knowledge Transfer for Multi-Agent System

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 631
Author(s):  
Chunyang Hu
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Knowledge Transfer ◽  
Large Scale ◽  
Effective Control ◽  
Small Scale ◽  
Learning Agent ◽  
Multi Agent ◽  
Transfer Method ◽  
Parameter Sharing

In this paper, deep reinforcement learning (DRL) and knowledge transfer are used to achieve the effective control of the learning agent for the confrontation in the multi-agent systems. Firstly, a multi-agent Deep Deterministic Policy Gradient (DDPG) algorithm with parameter sharing is proposed to achieve confrontation decision-making of multi-agent. In the process of training, the information of other agents is introduced to the critic network to improve the strategy of confrontation. The parameter sharing mechanism can reduce the loss of experience storage. In the DDPG algorithm, we use four neural networks to generate real-time action and Q-value function respectively and use a momentum mechanism to optimize the training process to accelerate the convergence rate for the neural network. Secondly, this paper introduces an auxiliary controller using a policy-based reinforcement learning (RL) method to achieve the assistant decision-making for the game agent. In addition, an effective reward function is used to help agents balance losses of enemies and our side. Furthermore, this paper also uses the knowledge transfer method to extend the learning model to more complex scenes and improve the generalization of the proposed confrontation model. Two confrontation decision-making experiments are designed to verify the effectiveness of the proposed method. In a small-scale task scenario, the trained agent can successfully learn to fight with the competitors and achieve a good winning rate. For large-scale confrontation scenarios, the knowledge transfer method can gradually improve the decision-making level of the learning agent.

Micro design in inter-organizational hybrid governance: a study on product adaptation, reverse knowledge transfer and integration mechanism

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Novi Lailatul Khoirunnisa ◽  
Rangga Almahendra
Keyword(s):  
Knowledge Transfer ◽  
Open Innovation ◽  
Local Conditions ◽  
Content Type ◽  
Moderation Effect ◽  
Hybrid Governance ◽  
Integration Mechanism ◽  
Reverse Knowledge Transfer ◽  
Governing Institutions ◽  
The Relationship

Purpose This study aims to explore the extent to which inter-organizational hybrid governance manages the micro design for optimum reverse knowledge transfer in the open innovation context. The authors use two essential facets of micro design in hybrid governance: product adaptation and integration mechanism. Design/methodology/approach Data for this study were collected from franchisees through structured questionnaires in Indonesia. Findings Results indicated that product adaptation has a positive relationship with reverse knowledge transfer. This study also found that the formalization strengthens the relationship between product adaptation and reverse knowledge transfer. However, the socialization does not have a moderation effect. Research limitations/implications This research estimates the knowledge transfer from the agent’s side only. Therefore, further research is expected to estimate the reverse knowledge transfer in dyads (from agent and principal) to get a detailed understanding of reverse knowledge transfer. Practical implications This study offers guidelines to managers, especially in inter-organizational hybrid governance. The authors suggest reverse knowledge transfer as a form to manage the dispersed knowledge from their agents. Governing institutions should change their view that agents have diverse knowledgebase from experience adapting to local conditions and can improve their open innovation through reverse knowledge transfer. From the results, it is found that giving agents the flexibility to adapt products can boost reverse knowledge transfer to support open innovation. Originality/value This study provides an understanding of the utilization of external knowledge sourcing in the context of open innovation from agent to principal in hybrid governance through reverse knowledge transfer, which has thus far been empirically under-researched.

Resource Configuration for the Collaborative Development of Product

2012 ◽  
Vol 215-216 ◽  
pp. 540-543
Author(s):  
Fu Hong Zeng ◽  
Lan Hua Zhou
Keyword(s):  
Mobile Phone ◽  
Large Scale ◽  
Collaborative Planning ◽  
Matching Model ◽  
Collaborative Development ◽  
Resource Configuration ◽  
Manufacturing Enterprises

In order to meet the reasonable matching of resource for collaborative development of products in manufacturing enterprises including involvement of suppliers on a large scale, a Generalized Design Resource Pool (GDRP) and It’s Resource Particles (RP) are defined, a multi-project collaborative planning and resource particles constraint-matching model with realization algorithm is presented. Finally, a case of developing mobile phone to an enterprise is presented to verify the effectiveness and feasibility of the presented approach.

The impact of reverse knowledge transfer on competitiveness

2008 ◽  
pp. 212-228
Author(s):  
Irem Dikmen ◽  
Beliz Ozorhon ◽  
M Talat Birgonul
Keyword(s):  
Knowledge Transfer ◽  
Reverse Knowledge Transfer ◽  
The Impact

Subsidiary autonomy and knowledge transfer

2019 ◽  
Vol 13 (2) ◽  
pp. 149-169
Author(s):  
Peder Veng Søberg ◽  
Brian Vejrum Wæhrens
Keyword(s):  
Knowledge Transfer ◽  
Emerging Markets ◽  
Knowledge Flows ◽  
Content Type ◽  
Study Approach ◽  
Negative Effect ◽  
Knowledge Transfers ◽  
Reverse Knowledge Transfer ◽  
Captive Offshoring ◽  
Strategic Autonomy

Purpose This paper aims to explore the effect of subsidiary autonomy on knowledge transfers during captive offshoring to emerging markets. Design/methodology/approach Five longitudinal cases of captive R&D and manufacturing offshoring to emerging markets. Findings The propositions entail the dual effect of operational subsidiary autonomy on primary knowledge transfer and reverse knowledge transfer. For newly established subsidiaries, operational subsidiary autonomy has a mainly negative effect on primary knowledge transfer and a mainly positive effect on reverse knowledge transfer and local collaboration activities increase this effect. Strategic subsidiary autonomy is mainly negative for primary and reverse knowledge transfer. Research limitations/implications Limitations concerning the applied exploratory case study approach suggest that further research should test the identified relationships using surveys, after the initial pilot study. Practical implications A gradual increase of operational subsidiary autonomy as the subsidiary capability level increases is beneficial to ensure primary knowledge transfer. Allowing subsidiaries to collaborate locally within the confines of their mandates benefits reverse knowledge transfer. Originality/value This paper extends the secondary knowledge transfer concept to include knowledge flows with local collaboration partners, not only other subsidiaries and clarifies the distinction between operational and strategic autonomy concerning local collaboration. A subsidiary asserts operational autonomy when its collaboration with local partners relates to its existing mandate. A subsidiary asserts strategic autonomy when it collaborates with local partners beyond this mandate.

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