Knowledge Assessment

This chapter focuses on assessing organizational performance with respect to knowledge flows. The authors look at several theoretical and practical bases for assessment and then discuss knowledge measurement, value analysis, and learning curves in some detail, including examples for illustration. The discussion turns subsequently to examine computational modeling of knowledge flows, which includes a detailed example for practical illustration. The chapter concludes with five knowledge flow assessment principles and includes exercises to stimulate critical thought, learning, and discussion.

2006 ◽  
pp. 93-123
Author(s):  
Mark E. Nissen

This chapter focuses on assessing organizational performance with respect to knowledge flows. We look first at several theoretical and practical bases for assessment and then discuss both knowledge value analysis and learning curves in some detail, including examples for illustration. The discussion then turns to examine computational modeling of knowledge flows, which includes a detailed example for practical illustration. The chapter concludes with five knowledge-flow assessment principles and includes exercises to stimulate critical thought, learning, and discussion.


Author(s):  
Mark E. Nissen

This chapter focuses phenomenologically on the dynamics of knowledge flows. We look first at the organizational processes responsible for knowledge flows and then discuss knowledge-flow patterns. The discussion then turns to examining interactions between knowledge flows and workflows, in addition to timing and obstacles of dynamic knowledge. The chapter concludes with five knowledge-flow principles and includes exercises to stimulate critical thought, learning, and discussion.


This chapter focuses phenomenologically on the dynamics of knowledge flows. The authors look at the organizational processes responsible for knowledge flows and then discuss knowledge flow patterns. The discussion turns subsequently to examine interactions between knowledge flows and workflows, in addition to timing and obstacles of dynamic knowledge. The chapter concludes with five knowledge flow principles and includes exercises to stimulate critical thought, learning, and discussion.


2006 ◽  
pp. 182-202
Author(s):  
Mark E. Nissen

This chapter concentrates on knowledge-flow diagnosis and intervention in the private, not-for-profit sector. We look first at a national youth soccer organization. The discussion turns then to examine a local tennis club. The final case examines a nondenominational community church. In each case, we draw in part from secondary data sources for the background. This should prove helpful to the reader who is interested in following up to consider more details than presented in this volume. Here we also draw considerably from our own research and personal experience to fill in missing information, and we apply principles and techniques of this book to contribute new insights through examination of knowledge flows in the cases. Each application case concludes with exercises to stimulate critical thought, learning, and discussion.


2021 ◽  
pp. 097172182110204
Author(s):  
Yi Su ◽  
Xuesong Jiang ◽  
Zhouzhou Lin

A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional innovation system with the loosely coupled system is constructed. We use a simulation to observe knowledge flow within the regional innovation system under relationships of varying strength. The results show that when the relationship between the subjects of the regional innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupled system. The knowledge flow in the system exhibits the emergence of a fast flow rate, a high mean value and little variance. When relationship strength is at other levels, the emergence of knowledge cannot be identified.


2011 ◽  
Vol 10 (01) ◽  
pp. 69-76 ◽  
Author(s):  
XUDONG DAI ◽  
XUEFEN MA ◽  
YOUBAI XIE

For the definition of knowledge flow, knowledge-flow control and knowledge-acquisition in integrated product design within distributed knowledge resources environment, this paper studies the structural modeling of design activity for integrated product design. The common features of integrated design in distributed resources environment are summarized as follows: centering on specific design requirements, organizing related design resources to perform design activities, outputting design results, carrying on value analysis of design results, and then making design decisions on the basis of value analysis. Based on the common features, a structural model of integrated design activities in distributed resources environment is built, which presents the structural expression of knowledge flow by defining the design requirements, the design resource input, the result output, the design activities, the relationship between the design activities, and the values of the design activities. Design activities at different levels are defined according to the design process models at different levels. A design activity that has been defined can be packaged into design components. The essence of integrated design lies in knowledge integration, which is to be realized by defining the input and output relationship between the design components and the knowledge components.


Author(s):  
J. Gavilanes-Trapote ◽  
I. Etxeberria-Agiriano ◽  
E. Cilleruelo ◽  
G. Garechana

<p>Knowledge flow of technology is important for continuous growth and extension of science. Patent data analysis has facilitated this knowledge acquisition. The available patent information crosses borders, corresponds and interacts with new inventions to give new strength and dimension to the technology. Therefore, the patent citation information functions as a key indicator of the knowledge flow providing relevant information. It can be identified to which extent a region is a relevant technological knowledge generator to other regions. As an illustrative case, we present a study to determine the role played by the Basque Country region as a generator of technological innovation during the period 1991-2011.</p>


This chapter concentrates on knowledge flow diagnosis and intervention in the private, non-profit sector. The authors look at a national youth soccer organization. The discussion turns then to examine a local tennis club. The final case describes a nondenominational community church. In each case, they draw in part from secondary data sources for background. This should prove helpful to the reader who is interested in following up to consider more details than presented in this volume. The authors also draw considerably from their own research and personal experience to fill in missing information, and they apply principles and techniques of this book to contribute new insights through examination of knowledge flows in the cases. Each application case concludes with exercises to stimulate critical thought, learning, and discussion. In conjunction with the principles articulated in Section 1 of the book, the application cases explain how organizations from across a very wide range of sizes and domains both succeed and fail at harnessing dynamic knowledge; hence, through case-based reasoning, they provide both positive and negative examples for the leader and manager to use in comparison with his or her own organization.


This chapter surveys several classes of technologies and indicates which kinds of knowledge flows are enabled and supported relatively better and worse by such technologies. The authors look at common problems associated with the most prevalent and prominent KM technologies and then discuss interactions between such technologies and the knowledge life cycle. The discussion turns subsequently to examine expert systems technology, which addresses knowledge directly. This is followed by a discussion of simulation technology, which enables the development of tacit knowledge through practice in virtual environments. The chapter concludes with five knowledge technology principles and includes exercises to stimulate critical thought, learning, and discussion. As a note, the authors do not consider the kinds of emergent knowledge phenomena enabled via social media technologies here, but they devote the whole of the book’s third section to this topic.


2006 ◽  
pp. 124-151
Author(s):  
Mark E. Nissen

This chapter concentrates on knowledge-flow visualization and analysis in the for-profit business sector. We look first at an advanced-technology company involved with new-product development. The discussion turns then to examine an independent production company involved with a feature film. The third case involves a technology-transfer project between a university and a microelectronics company. In each case, we draw from secondary data sources for background. This should prove helpful to the reader who is interested in following up to consider more details than presented in this volume. We draw also from our own research and professional experience to fill in missing information, and we apply principles and techniques of this book to contribute new insights through examination of knowledge flows in the cases. Each application case concludes with exercises to stimulate critical thought, learning, and discussion.


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