Working Toward a System for Measuring Dynamic Knowledge

2017 ◽  
Vol 13 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Mark E. Nissen
Keyword(s):  
Measurement Techniques ◽  
Flow Theory ◽  
Knowledge Flow ◽  
Practical Application ◽  
Physical Systems ◽  
Measurement Capability ◽  
Theoretical Contribution ◽  
Dynamic Motion ◽  
Knowledge Measurement ◽  
Organization Context

Knowledge is inherently intangible, invisible and resistant to quantification, particularly when in dynamic motion. This makes it a considerable and persistent challenge to understand, visualize and measure. The research described in this article builds upon emerging knowledge measurement techniques and well-established knowledge flow theory to develop a system for measuring dynamic knowledge in the organization. This measurement capability is developed judiciously and analogically from the author's understanding of dynamic physical systems. As a background, the key literature on knowledge measurement and knowledge flow theory is reviewed. Then this system for measuring dynamic knowledge is conceptualized, and its use, utility and theoretical coherence are illustrated through practical application. This research makes a theoretical contribution by advancing a coherent approach to dynamic knowledge measurement, and it makes a practical contribution through illustration in the organization context. A related goal is to stimulate considerable thinking, discussion, debate and continued research.

Reconsidering a System for Measuring Dynamic Knowledge

2020 ◽  
pp. 48-70
Author(s):  
Mark E. Nissen
Keyword(s):  
Competitive Advantage ◽  
Measurement Techniques ◽  
Flow Theory ◽  
Knowledge Flow ◽  
Dynamic Motion ◽  
Knowledge Measurement ◽  
Organization Context

It is axiomatic to say that knowledge is key to competitive advantage, but it is inherently invisible, intangible, and resistant to quantification, particularly when in dynamic motion. Recent research builds upon emerging knowledge measurement techniques and well-established knowledge flow theory to develop a system for measuring dynamic knowledge in the organization. Results from application to archetypical organization processes are encouraging and highly consistent with extant theory. The research described in this chapter summarizes three notable extensions to such work. It makes a theoretic contribution by extending a coherent approach to dynamic knowledge measurement, and it makes a practical contribution through illustration in the organization context. A related goal is to stimulate considerable thinking, discussion, debate, and continued research.

Measuring Dynamic Knowledge Flows

2011 ◽  
pp. 125-145 ◽  
Author(s):  
Mark E. Nissen
Keyword(s):  
Competitive Advantage ◽  
Dynamic Properties ◽  
Explanatory Power ◽  
Flow Theory ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Sustainable Competitive Advantage ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Theoretical Contribution

Knowledge is key to sustainable competitive advantage, but different kinds of knowledge affect competitive advantage differently, and they exhibit qualitatively different dynamic properties and behaviors. This places particular importance on understanding the dynamics of knowledge as it flows from where and when it is to where and when it is needed. Despite the increasing analytical and explanatory power of Knowledge Flow Theory toward this end, the extant literature remains limited in terms of measurement. The research described in this chapter builds upon and extends Knowledge Flow Theory to conceptualize and illustrate a scheme for measuring dynamic knowledge flows. Such a scheme offers a theoretical contribution and elucidates an exciting path for continued research along these lines. It highlights practical application as well through enhanced managerial decision making and business value creation in the context of harnessing dynamic knowledge for competitive advantage.

scholarly journals Exclusion and Underdetermined Qualia

Entropy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 405 ◽  
Author(s):  
Kyumin Moon
Keyword(s):  
Information Theory ◽  
Theoretical Foundation ◽  
Practical Application ◽  
Scientific Content ◽  
Physical Systems ◽  
Theoretical Structure ◽  
The Relationship ◽  
Integrated Information Theory ◽  
Integrated Information

Integrated information theory (IIT) asserts that both the level and the quality of consciousness can be explained by the ability of physical systems to integrate information. Although the scientific content and empirical prospects of IIT have attracted interest, this paper focuses on another aspect of IIT, its unique theoretical structure, which relates the phenomenological axioms with the ontological postulates. In particular, the relationship between the exclusion axiom and the exclusion postulate is unclear. Moreover, the exclusion postulate leads to a serious problem in IIT: the quale underdetermination problem. Therefore, in this paper, I will explore answers to the following three questions: (1) how does the exclusion axiom lead to the exclusion postulate? (2) How does the exclusion postulate cause the qualia underdetermination problem? (3) Is there a solution to this problem? I will provide proposals and arguments for each question. If successful, IIT can be confirmed with respect to, not only its theoretical foundation, but also its practical application.

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.

scholarly journals SNPL: One Scheme of Securing Nodes in IoT Perception Layer

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1090 ◽  
Author(s):  
Yongkai Fan ◽  
Guanqun Zhao ◽  
Kuan-Ching Li ◽  
Bin Zhang ◽  
Gang Tan ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Security Risk ◽  
Practical Application ◽  
Malicious Nodes ◽  
Physical Systems ◽  
Security Scheme ◽  
Performance Requirements ◽  
Different Types ◽  
Series Of Experiments ◽  
And Performance

The trustworthiness of data is vital data analysis in the age of big data. In cyber-physical systems, most data is collected by sensors. With the increase of sensors as Internet of Things (IoT) nodes in the network, the security risk of data tampering, unauthorized access, false identify, and others are overgrowing because of vulnerable nodes, which leads to the great economic and social loss. This paper proposes a security scheme, Securing Nodes in IoT Perception Layer (SNPL), for protecting nodes in the perception layer. The SNPL is constructed by novel lightweight algorithms to ensure security and satisfy performance requirements, as well as safety technologies to provide security isolation for sensitive operations. A series of experiments with different types and numbers of nodes are presented. Experimental results and performance analysis show that SNPL is efficient and effective at protecting IoT from faulty or malicious nodes. Some potential practical application scenarios are also discussed to motivate the implementation of the proposed scheme in the real world.

Streams of shared knowledge: computational expansion of knowledge-flow theory

2008 ◽  
Vol 6 (2) ◽  
pp. 124-140 ◽  
Author(s):  
Mark E Nissen ◽  
Ryan J Orr ◽  
Raymond E Levitt
Keyword(s):  
Flow Theory ◽  
Knowledge Flow ◽  
Shared Knowledge

Commentary

2011 ◽  
pp. 177-184
Author(s):  
Emil Ivanov ◽  
Jay Liebowitz
Keyword(s):  
Flow Theory ◽  
Cultural Factors ◽  
Cross Cultural ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Primary Concern ◽  
Current State ◽  
Different Cultures ◽  
The Relationship ◽  
Flow Cross

The primary concern for this commentary is to examine and assess the current state of the research performed in the domain of knowledge flow theory and the relationship between these activities and the ways they are affected within different cultures and generations. We observe little research on the relationship between knowledge flow, cross-cultural factors, and stage of life. We feel that more research is needed in order to deal with cross-cultural generational knowledge flows in organizations.

Optical Nanoprobe Electrical Microscopy

2013 ◽  
Author(s):  
Stephen Ippolito ◽  
Michael Tenney ◽  
Sweta Pendyala ◽  
Larry Fischer ◽  
John Sylvestri ◽  
...  
Keyword(s):  
Optical Imaging ◽  
Scanning Probe Microscopy ◽  
Imaging Techniques ◽  
Measurement Techniques ◽  
Scanning Probe ◽  
Probe Microscopy ◽  
Measurement Capability ◽  
Metal Levels ◽  
Destructive Measurement ◽  
Non Destructive

Abstract This paper describes novel concepts in equipment and measurement techniques that integrate optical electrical microscopy and scanning probe microscopy (SPM) capabilities into a single tool under the umbrella of optical nanoprobe electrical (ONE) microscopy. Optical imaging ONE microscopy permits non-destructive measurement capability that was lost more than a decade ago, when the early metal levels became electrically inaccessible to microprobers. SPM imaging techniques do not have sensitivity to many types of defects, and nanoprobing all of the transistors in an area pinpointed by optical electrical microscopy is often impractical. Thus, in many cases, ONE microscopy capability will permit analytical success instead of failure.

EMBODIED COMPUTATION: APPLYING THE PHYSICS OF COMPUTATION TO ARTIFICIAL MORPHOGENESIS

2012 ◽  
Vol 22 (03) ◽  
pp. 1240013 ◽  
Author(s):  
BRUCE J. MACLENNAN
Keyword(s):  
Practical Application ◽  
Physical Processes ◽  
Simple Diffusion ◽  
Physical Systems ◽  
Allosteric Proteins ◽  
Physics Of Computation ◽  
Physical Effects ◽  
Simple Spine

We discuss the problem of assembling complex physical systems that are structured from the nanoscale up through the macroscale, and argue that embryological morphogenesis provides a good model of how this can be accomplished. Morphogenesis (whether natural or artificial) is an example of embodied computation, which exploits physical processes for computational ends, or performs computations for their physical effects. Examples of embodied computation in natural morphogenesis can be found at many levels, from allosteric proteins, which perform simple embodied computations, up through cells, which act to create tissues with specific patterns, compositions, and forms. We outline a notation for describing morphogenetic programs and illustrate its use with two examples: simple diffusion and the assembly of a simple spine with attachment points for legs. While much research remains to be done — at the simulation level before we attempt physical implementations — our results to date show how we may implement the fundamental processes of morphogenesis as a practical application of embodied computation at the nano- and microscale.

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