Knowledge Flow

2006 ◽  
pp. 31-48
Author(s):  
Mark E. Nissen
Keyword(s):  
Flow Patterns ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Organizational Processes ◽  
Critical Thought

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.

Knowledge Flow

2013 ◽  
pp. 26-39
Keyword(s):  
Flow Patterns ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Organizational Processes ◽  
Critical Thought

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.

Knowledge Assessment

2013 ◽  
pp. 72-103
Keyword(s):  
Computational Modeling ◽  
Organizational Performance ◽  
Learning Curves ◽  
Knowledge Flows ◽  
Knowledge Assessment ◽  
Knowledge Flow ◽  
Value Analysis ◽  
Critical Thought ◽  
Knowledge Measurement

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.

Assessing Knowledge-Flow Performance

2006 ◽  
pp. 93-123
Author(s):  
Mark E. Nissen
Keyword(s):  
Computational Modeling ◽  
Organizational Performance ◽  
Learning Curves ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Value Analysis ◽  
Critical Thought ◽  
Knowledge Value

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.

EMNC technological knowledge flow patterns: an overview of the US patents granted

2019 ◽  
Vol 28 (1) ◽  
pp. 129-155
Author(s):  
Feng Zhang
Keyword(s):  
Flow Patterns ◽  
Technological Knowledge ◽  
Knowledge Flows ◽  
Knowledge Generation ◽  
Knowledge Flow ◽  
Industrialized Countries ◽  
Content Type ◽  
Technological Competence ◽  
The Us ◽  
Internal Knowledge

Purpose With considerable attention paid to the motives and process of idiosyncratic internationalization trajectory of multinationals from emerging economies (EMNCs), little is known on whether, and if so how, new competitive advantages of EMNCs are created and accumulated over time. MNC and EMNC literature agrees on the importance of external and internal knowledge linkages in technological competence creation. By building upon this framework, this paper aims to evaluate EMNCs’ external and internal knowledge flow patterns by benchmarking their counterparts from mature industrialized countries (MMNCs). Design/methodology/approach This study analyzes US patents granted between 2000 and 2014 to leading innovation-oriented EMNCs from China and India, and their matched MMNCs. Being the first to use the US patent and citation data in studying leading innovation-oriented EMNCs, the authors use a descriptive statistical method. Findings The findings offer empirical insights of the scale, scope and quality of EMNC technological competence creation. Moreover, in contrast to existing EMNC literature, it is found that EMNC parents have been the most important center of EMNC technological knowledge generation. The matched group comparisons of external and internal knowledge flows further reveal detailed similarities and differences of competence creation between EMNCs and MMNCs, and among EMNCs. Originality/value This study represents one of the first attempts to investigate the post-internationalization technological competence creation of EMNCs by using a novel data source. This study sets the foundation to deepen the understanding of EMNC technological competence creation. The findings suggest interesting propositions and offer important implications for future researches.

Knowledge Flow Identification

2011 ◽  
pp. 2337-2342 ◽  
Author(s):  
Oscar M. Rodríguez-Elias ◽  
Aurora Vizcaíno ◽  
Ana I. Martínez-García ◽  
Jesús Favela ◽  
Mario Piattini
Keyword(s):  
Business Processes ◽  
Knowledge Workers ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Knowledge Map ◽  
Work Processes ◽  
Organizational Processes ◽  
The Real ◽  
Km Strategy ◽  
Good Flow

Knowledge management (KM) is an important factor in organizational competitive advantage (Ichijo & Nonaka, 2007). Unfortunately, traditional KM initiatives frequently fail when they are included in the work processes of organizations (Stewart, 2002). One of the factors responsible for this is that these initiatives are not well aligned to the real knowledge needs of the organization’s knowledge workers. Thus, it is important to seek approaches to help to align KM initiatives to the real work processes of organizations (Maier & Remus, 2002), considering what is important for their knowledge workers (Dalkir, 2005; Wiig, 2004). In this chapter, we describe the knowledge flow identification methodology (KoFI), a methodology, based on process engineering techniques, that has been developed to aid in the study of organizational processes from a knowledge flow perspective. The methodology proposes a set of steps and tasks that can be carried out to analyze knowledge flows in business processes; thus, helping to identify issues such as the knowledge workers’ needs, the knowledge (and its sources) that is principally involved in the processes, the working tools that may (positively or negatively) affect the flow of knowledge in the process, or the problems that may be restricting the good flow of knowledge in the process. To exemplify the usefulness of the KoFI methodology, we provide a brief description of some of the results obtained from the application of the methodology, in real settings, in which it was helpful for various purposes, including: the design of a multiagent-based KM system, the development of a knowledge map for a process, the identification of the manner in which to integrate a tool currently used in an organization as a basis for a KM strategy, and for the development of an organizational knowledge portal.

Application Cases in Non-Profits

2006 ◽  
pp. 182-202
Author(s):  
Mark E. Nissen
Keyword(s):  
Secondary Data ◽  
Knowledge Flows ◽  
Data Sources ◽  
Knowledge Flow ◽  
Critical Thought ◽  
Youth Soccer ◽  
For Profit ◽  
Not For Profit ◽  
Secondary Data Sources ◽  
Community Church

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.

Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

2021 ◽  
pp. 097172182110204
Author(s):  
Yi Su ◽  
Xuesong Jiang ◽  
Zhouzhou Lin
Keyword(s):  
Innovation System ◽  
Small World ◽  
Coupled System ◽  
Mean Value ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Regional Innovation System ◽  
Regional Innovation ◽  
Relationship Strength ◽  
Loosely Coupled

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.

scholarly journals Analysis of technological knowledge flows in the Basque Country

2019 ◽  
Vol 7 ◽  
pp. 73
Author(s):  
J. Gavilanes-Trapote ◽  
I. Etxeberria-Agiriano ◽  
E. Cilleruelo ◽  
G. Garechana
Keyword(s):  
Basque Country ◽  
Relevant Information ◽  
Technological Knowledge ◽  
Patent Citation ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Illustrative Case ◽  
Patent Data ◽  
Continuous Growth ◽  
Key Indicator

<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>

Application Cases in Non-Profits

2013 ◽  
pp. 148-162
Keyword(s):  
Secondary Data ◽  
Knowledge Flows ◽  
Case Based Reasoning ◽  
Non Profit ◽  
Critical Thought ◽  
Youth Soccer ◽  
Wide Range ◽  
Secondary Data Sources ◽  
Community Church ◽  
Case Based

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.

Knowledge Technology

2013 ◽  
pp. 40-54
Keyword(s):  
Social Media ◽  
Life Cycle ◽  
Expert Systems ◽  
Tacit Knowledge ◽  
Virtual Environments ◽  
Knowledge Flows ◽  
Simulation Technology ◽  
Critical Thought ◽  
Media Technologies ◽  
Common Problems

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.

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