scholarly journals How Cumulative is Technological Knowledge?

2021 ◽  
pp. 1-31
Author(s):  
Peter Persoon ◽  
Rudi Bekkers ◽  
Floor Alkemade
Keyword(s):  
Knowledge Base ◽  
Peer Review ◽  
Technological Progress ◽  
Technology Development ◽  
Technological Knowledge ◽  
Patent Data ◽  
Systematic Analysis ◽  
Body Of Knowledge ◽  
Knowledge Dynamics ◽  
Over Time

Abstract Technological cumulativeness is considered one of the main mechanisms for technological progress, yet its exact meaning and dynamics often remain unclear. To develop a better understanding of this mechanism we approach a technology as a body of knowledge consisting of interlinked inventions. Technological cumulativeness can then be understood as the extent to which inventions build on other inventions within that same body of knowledge. The cumulativeness of a technology is therefore characterized by the structure of its knowledge base, which is different from, but closely related to, the size of its knowledge base. We analytically derive equations describing the relation between the cumulativeness and the size of the knowledge base. In addition, we empirically test our ideas for a number of selected technologies, using patent data. Our results suggest that cumulativeness increases proportionally with the size of the knowledge base, at a rate which varies considerably across technologies. Furthermore, this rate is inversely related to the rate of invention over time. This suggests that the cumulativeness increases relatively slow in rapidly growing technologies. In sum, the presented approach allows for an in depth, systematic analysis of cumulativeness variations across technologies and the knowledge dynamics underlying technology development. Peer Review https://publons.com/publon/10.1162/qss_a_00140

KNOWLEDGE DYNAMICS IN FRAGMENTED INDUSTRIES

2014 ◽  
Vol 11 (02) ◽  
pp. 1450004
Author(s):  
FEDERICA CECI ◽  
DAJANA D'ANDREA
Keyword(s):  
Organizational Learning ◽  
Project Based Learning ◽  
Media Content ◽  
Economic Activities ◽  
Individual Project ◽  
Comprehensive Picture ◽  
Knowledge Dynamics ◽  
Systematic Understanding ◽  
The Uk ◽  
Over Time

This paper aims to provide a comprehensive picture of knowledge dynamics in fragmented industries in which economic activities are performed through inter-firm projects. The organization performing the project often does not survive the project itself, though knowledge is acquired and retained over time and across the whole industry. Notwithstanding scholars' interest, a systematic understanding of this subject is still lacking. To fill this gap, an analytical model has been developed to describe the processes of knowledge acquisition and retention in fragmented industries. Drawing upon empirical evidence collected from the UK media content industry and literature on project-based learning, project-based organization and organizational learning, the model presents the variables involved in these processes, distinguishing them according to the level at which they act (individual, project, industry) and according to the role they play (process or moderator). Implications for practitioners and policymakers are then discussed.

scholarly journals OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics

2021 ◽  
Vol 11 (22) ◽  
pp. 11061
Author(s):  
Juan Francisco Mendoza-Moreno ◽  
Luz Santamaria-Granados ◽  
Anabel Fraga Vázquez ◽  
Gustavo Ramirez-Gonzalez
Keyword(s):  
Big Data ◽  
Knowledge Base ◽  
Big Data Analytics ◽  
Formal Specifications ◽  
Cultural Impact ◽  
Traceability System ◽  
Body Of Knowledge ◽  
Commercial Viability ◽  
Social Environmental ◽  
Logical Connectors

Tourist traceability is the analysis of the set of actions, procedures, and technical measures that allows us to identify and record the space–time causality of the tourist’s touring, from the beginning to the end of the chain of the tourist product. Besides, the traceability of tourists has implications for infrastructure, transport, products, marketing, the commercial viability of the industry, and the management of the destination’s social, environmental, and cultural impact. To this end, a tourist traceability system requires a knowledge base for processing elements, such as functions, objects, events, and logical connectors among them. A knowledge base provides us with information on the preparation, planning, and implementation or operation stages. In this regard, unifying tourism terminology in a traceability system is a challenge because we need a central repository that promotes standards for tourists and suppliers in forming a formal body of knowledge representation. Some studies are related to the construction of ontologies in tourism, but none focus on tourist traceability systems. For the above, we propose OntoTouTra, an ontology that uses formal specifications to represent knowledge of tourist traceability systems. This paper outlines the development of the OntoTouTra ontology and how we gathered and processed data from ubiquitous computing using Big Data analysis techniques.

scholarly journals KNOWLEDGE WASTE IN ORGANIZATIONS: A REVIEW OF PREVIOUS STUDIES

2015 ◽  
Vol 12 (1) ◽  
pp. 160 ◽  
Author(s):  
Helio Aisenberg Ferenhof ◽  
Susanne Durst ◽  
Paulo Mauricio Selig
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Knowledge Base ◽  
Systematic Literature Review ◽  
Business Environment ◽  
Future Research ◽  
Competitive Pressure ◽  
Knowledge Conversion ◽  
Intensive Research ◽  
Body Of Knowledge

In this paper, we are interested in the knowledge that is “wasted” in organizations, that is existing relevant knowledge that is overlooked in the process of knowledge conversion. Given the competitive pressure firms are facing in today´s business environment, a waste of knowledge is not only costly but also dangerous. This means that we consider knowledge from a knowledge at risk perspective. Having this in mind, the purpose of this paper is to review research on knowledge waste in organizations to establish our current body of knowledge regarding this topic. The study consists of a systematic review of 51 peer-reviewed articles addressing knowledge waste in organizations. To the best of the authors’ knowledge, no systematic literature review on this topic has previously been published or presented. The topic seems to be a promising field for intensive research and offers a variety of future research avenues. In view of practitioners, the study´s finding may enable an increased awareness towards the areas where existing knowledge is at the mercy of “waste”. This can assist practitioners to better cope with risks related to this waste and, therefore, better exploit the (limited) knowledge base available.

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>

Exploring Technology Evolution Using Patent Classification: A Case of Cochlear Implant Technology Patents

2017 ◽  
Vol 14 (01) ◽  
pp. 1740002 ◽  
Author(s):  
Srigowtham Arunagiri ◽  
Mary Mathew
Keyword(s):  
Cochlear Implant ◽  
Cochlear Implants ◽  
Patent Data ◽  
Technology Evolution ◽  
Medical Products ◽  
Patent Classification ◽  
Analysis Technique ◽  
Dominant Classes ◽  
D Investment ◽  
Over Time

Understanding technology evolution through periodic landscaping is an important stage of strategic planning in R&D management. In fields like that of healthcare, where initial R&D investment is huge and good medical products serve patients better, activities of periodic landscaping become crucial for planning. Approximately 5% of the world’s population has hearing disabilities. Current hearing aid products meet less than 10% of the global needs. Patent data and classifications on cochlear implants from 1977–2010 show the technology evolution in the area of such an implant. We attempt to highlight emergence and disappearance of patent classes over a period of time indicating changes in growth of cochlear implant technologies. Using network analysis technique we explore and capture the technology evolution in patent classes by showing what emerged or disappeared over time. Dominant classes are identified. The sporadic influence of university research in cochlear implants is also discussed.

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