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Cross-System Knowledge Chains The Team Dynamics of Knowledge Development

机译:跨系统知识链知识开发的团队动力

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In the premodem age, societies seeking knowledge went to myth, tradition, or religion for guidance. In the modern age, the university institution is ascribed the key role in the process of knowledge development and maintenance. With knowledge more in demand than ever by the Market, and the university seen as the principal provider of it, one would predict that times should look good for the academy. The enterprises of the market seem to be in search for knowledge. The universities and research institutes are assumed to have got it. The one thing critical to make this academia-economy knowledge transaction a happy one is cross-system applicability: What does it take to enable the academicians and the practitioners to cooperate in knowledge development? This is the question of this paper. As we know, universities and enterprises are not always up to the task of cooperating well. I will argue that this can be explained by (a) misguided notions of knowledge, (b) a neglect of the processes involved in knowledge transfer or—as I prefer—knowledge production, and (c) the cultural differences involved. In the account to follow, I will discuss the character of knowledge and what I think are the major challenges when knowledge development is to take place in knowledge chains, in processes across very diverse actors, in order to foster learning, development, and ultimately, innovation and business success. Based on this a model of knowledge transaction is developed. This model is discussed in light of three cases of attempts at knowledge processes across academia and economy.
机译:在前现代时代,寻求知识的社会以神话,传统或宗教为指导。在现代,大学机构被赋予了知识开发和维护过程中的关键角色。市场对知识的需求比以往任何时候都多,并且大学被视为知识的主要提供者,因此人们可以预测,时代应该对学院有利。市场上的企业似乎正在寻找知识。假定大学和研究机构已经做到了。使这一学术界-经济界的知识交易变得愉快的关键一件事是跨系统的适用性:如何使院士和从业人员在知识发展方面进行合作?这是本文的问题。众所周知,大学和企业并非总能做好合作的任务。我将争辩说,这可以通过(a)对知识的误解,(b)对知识转移所涉及的过程的忽视或(如我更喜欢)知识生产以及(c)所涉及的文化差异来解释。在接下来的讲解中,我将讨论知识的特征以及我认为在知识链中,跨不同参与者的过程中进行知识开发时的主要挑战,以促进学习,发展,并最终创新和业务成功。基于此,建立了知识交易模型。鉴于学术界和经济界尝试进行知识过程的三种情况,对该模型进行了讨论。

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