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首页> 外文期刊>International Journal of Innovative Computing Information and Control >INCENTIVE STRATEGY FOR KNOWLEDGE TRANSFER IN ENTERPRISE VIA E-LEARNING 2.0
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INCENTIVE STRATEGY FOR KNOWLEDGE TRANSFER IN ENTERPRISE VIA E-LEARNING 2.0

机译：通过电子学习2.0进行企业知识转移的激励策略

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摘要

As less attention has been paid to how effective knowledge transfer occurs through a variety of incentives for communication and collaborative learning, in this study, we examine the effects of different incentive strategies on the random distribution of absorption efficiency and dissemination capability. We address the research objective by developing a computational model for E-Learning 2.0 in a dynamic knowledge environment consisting of multiple distinct knowledge agents. Firstly, it is assumed that knowledge transfer via E-Learning 2.0 is stimulated by incentives. Secondly, E-Learners have unique knowledge attributes. Thirdly, the knowledge evolution model specifies the policy of knowledge transfer. Fourthly, feedback from the simulation model shed light onto the incentive mechanism. Overall, we find that dissemination capability is an important variable in determining the effectiveness of incentive strategies. High incentive strategies focusing on high rewards for active learning are the preferred option in most of the considered scenarios. Interestingly, increased efficiencies in absorption can facilitate better knowledge value and knowledge transfer. These findings indicate that firms facing longer knowledge life cycles, higher dissemination in knowledge transfer capacity and better absorption efficiencies actually confront more difficult challenges in knowledge transfer. We examine the effects of different incentive strategies on the random distribution of absorption efficiency and dissemination capability. The optimal incentives for knowledge transferring derived from the simulation results of the model are suitable for E-Learners with different knowledge characteristics.
机译：由于人们对通过交流和协作学习的各种激励如何有效地进行知识转移的关注较少，因此在本研究中，我们研究了不同激励策略对吸收效率和传播能力的随机分布的影响。我们通过在由多个不同的知识主体组成的动态知识环境中开发电子学习2.0的计算模型来解决研究目标。首先，假设激励机制促进了通过电子学习2.0的知识转移。其次，电子学习者具有独特的知识属性。第三，知识演化模型规定了知识转移的策略。第四，来自仿真模型的反馈阐明了激励机制。总体而言，我们发现传播能力是决定激励策略有效性的重要变量。在大多数考虑的情况下，针对积极学习的高奖励的高激励策略是首选方案。有趣的是，提高吸收效率可以促进更好的知识价值和知识转移。这些发现表明，面对更长的知识生命周期，更高的知识转移能力传播能力和更好的吸收效率的企业实际上在知识转移方面面临着更困难的挑战。我们研究了不同激励策略对吸收效率和传播能力的随机分布的影响。从模型的仿真结果得出的知识转移的最佳动机适合于具有不同知识特征的电子学习者。

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