The use of knowledge in inter-organisational knowledge-networks: an empirical investigation

2006 ◽  
Vol 33 (2/3) ◽  
pp. 196 ◽  
Author(s):  
Petra Kreis Hoyer ◽  
Jutta Gruenberg Bochard
Keyword(s):  
Empirical Investigation ◽  
Knowledge Networks ◽  
Organisational Knowledge ◽  
Use Of Knowledge

scholarly journals Networks and regional economic growth: A spatial analysis of knowledge ties

2017 ◽  
Vol 49 (6) ◽  
pp. 1247-1265 ◽  
Author(s):  
Robert Huggins ◽  
Piers Thompson
Keyword(s):  
Economic Growth ◽  
Regional Growth ◽  
Evidence Base ◽  
Knowledge Networks ◽  
Regional Economic Growth ◽  
Network Systems ◽  
Regional Economic ◽  
Organisational Knowledge ◽  
The Impact

In recent years, increased attention has been given to role of inter-organisational knowledge networks in promoting regional economic growth. Nevertheless, the empirical evidence base concerning the extent to which inter-organisational knowledge networks influence regional growth is at best patchy. This article utilises a panel data regression approach to undertake an empirical analysis of economic growth across regions of the UK. Drawing on the concept of network capital, significant differences in the stocks of network capital and flows of knowledge within and across regions are found, which are significantly associated with regional rates of economic growth. The analysis finds that both inter and intra-regional networks shape regional growth processes, highlighting the role of both embedded localised linkages and the importance of accessing more geographically distant knowledge. The study adds weight to the suggestion that one of the most interesting implications of endogenous growth theory relates to the impact of the spatial organisation of regions on flows of knowledge. It is concluded that the adoption of a relational approach to understanding differing economic geographies indicates that network systems are a key component of the regional development mix.

scholarly journals Biological Insights Knowledge Graph: an integrated knowledge graph to support drug development

2021 ◽  
Author(s):  
David Geleta ◽  
Andriy Nikolov ◽  
Gavin Edwards ◽  
Anna Gogleva ◽  
Richard Jackson ◽  
...  
Keyword(s):  
Machine Learning ◽  
Drug Development ◽  
Use Cases ◽  
Knowledge Graph ◽  
Multiple Use ◽  
Organisational Knowledge ◽  
Data Source ◽  
The Common ◽  
Knowledge Graphs ◽  
Use Of Knowledge

The use of knowledge graphs as a data source for machine learning methods to solve complex problems in life sciences has rapidly become popular in recent years. Our Biological Insights Knowledge Graph (BIKG) combines relevant data for drug development from public as well as internal data sources to provide insights for a range of tasks: from identifying new targets to repurposing existing drugs. Besides the common requirements to organisational knowledge graphs such as being able to capture the domain precisely and give the users the ability to search and query the data, the focus on handling multiple use cases and supporting use case-specific machine learning models presents additional challenges: the data models must also be streamlined for the performance of downstream tasks; graph content must be easily customisable for different use cases; different projections of the graph content are required to support a wider range of different consumption modes. In this paper we describe our main design choices in implementation of the BIKG graph and discuss different aspects of its life cycle: from graph construction to exploitation.

Distributed Knowledge Management in Healthcare

2009 ◽  
pp. 198-214
Author(s):  
Christos Bountis
Keyword(s):  
Knowledge Management ◽  
Knowledge Networks ◽  
Service Oriented Architectures ◽  
Distributed Knowledge ◽  
Information Tools ◽  
Trade Offs ◽  
Technological Tools ◽  
Service Oriented ◽  
Use Of Knowledge ◽  
Core Issues

This chapter introduces and reviews the concept of distributed knowledge management within the Healthcare environment and between Healthcare and other partner organisations. As management should not be mistaken for control, distributed should not be identified with multicentered. Trade-offs between managerial centralism and social contextuality should be allowed. Although the core issues in knowledge management are not technological, tools that can support the central versus social dualism of knowledge management are critical to the effective and appropriate use of generated knowledge. Information tools can significantly affect the user experience and local social wiliness to participation and enhance the managerial trends that make use of knowledge networks and shared logistics. They include service-oriented architectures (SOA), artificial intelligence networks (AIN), multiple agent systems (MAS) and the contextual tools of Web 2.0. All of those tools feed their functionality on the semantic detail, the granularity and the trust levels enjoyed by their information sources.

Leveraging Knowledge Assets in Firms of the Digital Era

2011 ◽  
pp. 289-311
Author(s):  
Gregoris Mentzas ◽  
Dimitris Apostolou
Keyword(s):  
Knowledge Networks ◽  
Communication Process ◽  
Management Approach ◽  
Resource Based View ◽  
Knowledge Assets ◽  
Digital Era ◽  
Organisational Knowledge ◽  
Software Firm ◽  
Main Driver

The management of organisational knowledge can be a key lever for improving performance, boosting productivity and creativity, and facilitating innovation in corporate settings. The commonly used approaches for managing knowledge followed one of two perspectives: the process-centric (a primarily people-based approach that treats knowledge management as a social communication process) and a product-centric approach (that is mostly content-based and focuses on knowledge-related artifacts). This chapter presents a strategic management approach and an integrated solution that are knowledge asset-based and attempt to fuse the aforementioned two approaches in a balanced manner. The overall approach builds upon and extends the resource-based view of the firm by explicitly treating knowledge assets as the main driver for innovation and learning. The approach is demonstrated with a case study that focuses on the knowledge networks of a software firm.

Exploration of multi-layered knowledge sharing participation: the roles of perceived benefits and costs

2016 ◽  
Vol 20 (6) ◽  
pp. 1247-1267 ◽  
Author(s):  
Mohammadbashir Sedighi ◽  
Sander van Splunter ◽  
Frances Brazier ◽  
Cees van Beers ◽  
Stephan Lukosch
Keyword(s):  
Knowledge Sharing ◽  
Negative Impact ◽  
Knowledge Networks ◽  
Perceived Benefits ◽  
Content Type ◽  
Business Context ◽  
Perceived Benefit ◽  
Use Of Knowledge ◽  
Benefits And Costs

Purpose This paper aims to explore participants’ perceived benefits and costs that influence the quantity and the quality of voluntary participation in knowledge networks in a resources-constrained economy. Design/methodology/approach A conceptual model of perceived benefits and costs of knowledge sharing is designed on the basis of literature. The influence of perceived benefit and cost on perceived quantity and quality of knowledge sharing are assessed on the basis of a survey with 283 participants in a business context within a resource-restrained economy. Findings The results indicate that reputation, reciprocity and altruism are perceived to benefit quantity of participation, whereas reciprocity, altruism and knowledge self-efficacy are perceived to benefit the quality of participation in knowledge networks. Effort and time have a negative impact on both quantity and quality of participation in knowledge sharing. Research limitations/implications This study provides insights into the factors that influence acceptance and use of knowledge networks and can thus influence business policies. Originality/value This exploratory study explores both perceived benefits and costs of participation in knowledge sharing in a resource-constrained economy.

scholarly journals The Role of Collaborative Knowledge Networks in the Brazilian Sugar-Energy Sector

2019 ◽  
Vol 7 (5) ◽  
pp. 202-214
Author(s):  
Marcia Brito Nery Alves ◽  
Ana Eleonora Almeida Paixão
Keyword(s):  
Energy Sector ◽  
Knowledge Networks ◽  
Global Competitiveness ◽  
Historical Series ◽  
The Common ◽  
Sugarcane Productivity ◽  
Use Of Knowledge ◽  
Collaborative Knowledge ◽  
Statistical Indicators

This paper analyzes the role of collaborative knowledge networks in the Brazilian sugar and ethanol industry, in terms of strategic advantage, economic gain and global competitiveness, notwithstanding the risks inherent to the common use of knowledge produced by partners, companies, and other institutions related to the network. In this sense, this paper analyzed the role of the Interuniversity Network for the Development of the Sugar-Energy Sector (RIDESA) in the development, launching, registration and commercialization of new sugarcane cultivars, in Brazil, highlighting two innovation statistical indicators: Varietal Update Index (IAV); and, Varietal Concentration Index (ICV). In this study, we performed statistical analyzes of production data, planted area and sugarcane productivity in Brazil, between 2005 and 2018, conducting tests in historical series of the National Supply Company (CONAB). As a result of the preliminary theoretical analyzes, it can be understood that the collaborative knowledge networks, as a model of network innovation, is a trend that is established in the present, notwithstanding the risks of knowledge shared by the organizations, appearing as an important area of research in the field of intellectual property.

scholarly journals Self-Modelling Knowledge Networks

2011 ◽  
pp. 1413-1420
Author(s):  
Volker Derballa ◽  
Atonia Albani
Keyword(s):  
Knowledge Management ◽  
Information Science ◽  
Knowledge Networks ◽  
Virtual Enterprises ◽  
Research Projects ◽  
Knowledge Resources ◽  
Solution Approach ◽  
Organisational Knowledge ◽  
Information And Communication ◽  
Flexible Knowledge

The necessity for managing knowledge is stressed by wide array of recent publications ranging from information science to strategic management substantiating their proposition with the tremendous changes in the context organisations that are operating today. Although knowledge management (KM) literature and research projects are increasingly extending their attention from intra-organisational to inter-organisational aspects (e.g., Seufert, Back, & van Krogh, 2000; Alpar & Kalmring, 2001; Schmaltz & Hagenhof, 2003 ), the question of how inter-organisational knowledge management can be realised is up to now not sufficiently answered (Carlsson, 2003). That is even more true for virtual enterprises, as the following specific characteristics need to be considered: short-term focus; focus on information and communication technology; decentralised information systems; and distributed ownership. As a solution approach catering for the issues mentioned above, a prototype of a system called “selfmodelling knowledge networks” is introduced. Self-modelling knowledge networks could provide a mechanism that facilitates flexible knowledge retrieval across several nodes in networked and virtual enterprises. Thus, this approach is ideally suited for situations where knowledge resources need to be combined in a flexible way and several levels of the network are comprised.

Conceptual short-term memory (CSTM) supports core claims of Christiansen and Chater

2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter
Keyword(s):  
Working Memory ◽  
Rapid Serial Visual Presentation ◽  
Language Comprehension ◽  
Short Term Memory ◽  
Visual Presentation ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Use Of Knowledge

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.

Self-Esteem and the SCII: Empirical Investigation of a Clinical Observation

1979 ◽  
Vol 12 (2) ◽  
pp. 82-86
Author(s):  
Karen Friedel ◽  
Jo-Ida Hansen ◽  
Thomas J. Hummel ◽  
Warren F. Shaffer
Keyword(s):  
Empirical Investigation ◽  
Clinical Observation ◽  
Self Esteem
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