Achieving adoption and innovation in Australia's beef industry

2010 ◽  
Vol 50 (6) ◽  
pp. 418 ◽  
Author(s):  
H. M. Burrow
Keyword(s):  
Case Studies ◽  
Product Type ◽  
Beef Industry ◽  
Guiding Principle ◽  
Knowledge Based ◽  
Maximum Value ◽  
Delivery Vehicles ◽  
Value Add ◽  
Complex Knowledge

Beef CRC uses industry value-add and impact as the guiding principle to identify the most appropriate ‘Path to Adoption’ for each one of the practices, tools and technologies it develops. This approach recognises that, regardless of the product type or the method of commercialisation, all Beef CRC’s decisions aimed at achieving commercialisation, utilisation, and/or adoption are designed to achieve and demonstrate maximum value for Australian beef businesses. This is achieved by customising commercialisation approaches to ensure that (1) all Beef CRC technologies are specifically designed to maximise industry adoption and utilisation and (2) all Beef CRC processes aiming to achieve industry adoption and innovation are specifically designed and implemented for that purpose. This paper presents case studies outlining the different approaches used by Beef CRC to maximise adoption, innovation and impact of different product types and different processes (or ‘delivery vehicles’) to achieve demonstrable adoption and impact of complex knowledge-based technologies among the tens of thousands of small-to-medium beef enterprises located throughout Australia.

Supply Chain Knowledge Integration in Emerging Economies

2012 ◽  
pp. 1002-1018
Author(s):  
Ryan Atkins
Keyword(s):  
Emerging Economies ◽  
Knowledge Integration ◽  
Global Knowledge ◽  
Developed Economies ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Level Of Knowledge ◽  
Complex Knowledge ◽  
The Relationship

Firms in developed economies have been purchasing from firms in emerging economies for years, but they typically purchase low value, low margin items. Opportunities have arisen for emerging economy manufacturers to supply higher value products and services to firms in developed economies. In today’s global, knowledge based economy, suppliers must have cutting edge knowledge, and they must constantly upgrade their knowledge to maintain a competitive advantage. When supplying high-value products, complex knowledge based interactions between the buyer and supplier are necessary. A conceptual model is developed in this chapter, proposing that if suppliers in emerging economies are committed to long term relationships with developed economy customers, they can increase the level of knowledge integration in the relationship, and in turn, improve performance. The primary contribution of this chapter is to show that firms in emerging economies can achieve sales growth by becoming critical links in today’s global, knowledge based supply chains.

Pragmatism in Decision Support System Research

2021 ◽  
pp. 1471-1493
Author(s):  
Mohammad Tafiqur Rahman
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Large Scale ◽  
Humanitarian Logistics ◽  
Knowledge Based ◽  
Relief Distribution ◽  
Distribution Process ◽  
Complex Knowledge

Decision making on relief distribution is a complex multidisciplinary task in humanitarian logistics. It incorporates decision makers from different but related problem areas. The failure to perform assigned decision-making tasks in any area makes the entire system unstable and delays the relief distribution process. An organized, well-planned, and practical decision support system (DSS) can assist practitioners in making rapid decisions on delivering relief items. Hence, DSS researchers in humanitarian logistics require rigorous thinking, close and critical analysis, and the identification of challenges to conduct research or validate the generated knowledge properly. To perform such complex knowledge-based tasks, the philosophical understanding of DSS in the humanitarian context is necessary. After analyzing the commonly used philosophical paradigms, this research identifies the pragmatic approach as the adequate support for solving decision-making problems in relief distribution during large-scale disasters.

Reactive agents

2006 ◽  
Author(s):  
Christopher Walton
Keyword(s):  
Semantic Web ◽  
Web Based ◽  
Knowledge Based ◽  
Sources Of Knowledge ◽  
Complex Organization ◽  
Standard Manner ◽  
Single User ◽  
Complex Knowledge ◽  
The Web

In the previous chapter we described three languages for representing knowledge on the Semantic Web: RDF, RDFS, and OWL. These languages enable us to create Web-based knowledge in a standard manner with a common semantics. We now turn our attention to the techniques that can utilize this knowledge in an automated manner. These techniques are fundamental to the construction of the Semantic Web, as without automation we do not gain any real benefit over the current Web. There are currently two views of the Semantic Web that have implications for the kind of automation that we can hope to achieve: 1. An expert system with a distributed knowledge base. 2. A society of agents that solve complex knowledge-based tasks. In the first view, the Semantic Web is essentially treated a single-user application that reasons about some Web-based knowledge. For example, a service that queries the knowledge to answer specific questions. This is a perfectly acceptable view, and its realization is significantly challenging. However, in this book we primarily subscribe to the second view. In this more-generalized view, the knowledge is not treated as a single body, and it is not necessary to obtain a global view of the knowledge. Instead, the knowledge is exchanged and manipulated in a peer-to-peer (P2P) manner between different entities. These entities act on behalf of human users, and require only enough knowledge to perform the task to which they are assigned. The use of entities to solve complex problems on the Web is captured by the notion of an agent. In human terms, an agent is an intermediary who makes a complex organization externally accessible. For example, a travel agent simplifies the problem of booking a holiday. This concept of simplifying the interface to a complex framework is a key goal of the Semantic Web. We would like to make it straightforward for a human to interact with a wide variety of disparate sources of knowledge without becoming mired in the details. To accomplish this, we want to define software agents that act with similar characteristics to human agents.

Supply Chain Knowledge Integration in Emerging Economies

2010 ◽  
pp. 104-121
Author(s):  
Ryan Atkins
Keyword(s):  
Emerging Economies ◽  
Knowledge Integration ◽  
Global Knowledge ◽  
Developed Economies ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Level Of Knowledge ◽  
Complex Knowledge ◽  
The Relationship

Firms in developed economies have been purchasing from firms in emerging economies for years, but they typically purchase low value, low margin items. Opportunities have arisen for emerging economy manufacturers to supply higher value products and services to firms in developed economies. In today’s global, knowledge based economy, suppliers must have cutting edge knowledge, and they must constantly upgrade their knowledge to maintain a competitive advantage. When supplying high-value products, complex knowledge based interactions between the buyer and supplier are necessary. A conceptual model is developed in this chapter, proposing that if suppliers in emerging economies are committed to long term relationships with developed economy customers, they can increase the level of knowledge integration in the relationship, and in turn, improve performance. The primary contribution of this chapter is to show that firms in emerging economies can achieve sales growth by becoming critical links in today’s global, knowledge based supply chains.

The Contribution of University Business Incubators to New Knowledge-Based Ventures

2001 ◽  
Vol 15 (4) ◽  
pp. 239-250 ◽  
Author(s):  
Rosa Grimaldi ◽  
Alessandro Grandi
Keyword(s):  
Case Studies ◽  
Empirical Analysis ◽  
Technological Knowledge ◽  
Business Incubators ◽  
Knowledge Based ◽  
New Knowledge ◽  
The Creation ◽  
The Empirical Analysis

This paper examines the role of university business incubators (UBIs) in supporting the creation of new knowledge-based ventures. UBIs are described as effective mechanisms for overcoming weaknesses of the more traditional public incubating institutions. They offer firms a range of university-related benefits, such as access to laboratories and equipment, to scientific and technological knowledge and to networks of key contacts, and the reputation that accrues from affiliation with a university. The empirical analysis is based on the Turin Polytechnic Incubator (TPI) and on case studies of six academic spin-offs hosted at TPI. While TPI does not effectively resolve such problems as inadequate access to funding capital and the lack of management and financial skills in its tenant companies, the networking capacity of incubating programmes is seen as a key characteristic that may help new knowledge-based ventures to overcome such difficulties.

EXPLORING THE POTENTIAL FAILURE OF THE REGULATORY FRAMEWORK AND MANAGEMENT TOOLS WHICH GOVERN THE CONSERVATION OF BIODIVERSITY: THE CASE OF ARTIFICIAL LAKE KERKINI IN GREECE

2009 ◽  
Vol 11 (02) ◽  
pp. 213-243 ◽  
Author(s):  
DIMITRA MANOU ◽  
JASON PAPATHANASIOU
Keyword(s):  
Sustainable Development ◽  
Case Studies ◽  
The United States ◽  
Artificial Lake ◽  
Management Tools ◽  
Knowledge Based ◽  
Strategic Objective ◽  
Development Objectives ◽  
Governance Processes ◽  
Conservation Of Biodiversity

This paper was developed in the context of the research project entitled GEMCONBIO (Governance and Ecosystems Management for the Conservation of Biodiversity), which is a European FP6-funded project under Priority 7 — Citizens and Governance in a Knowledge-Based Society. The projects strategic objective is, through the elaboration of certain case studies, to explore the interactions between governance modes and sustainable development objectives in view of identifying which governance processes and institutions can contribute best to the conservation of biodiversity. The case study of Kerkini Lake was selected along with approximately 27 case studies across Europe, the United States and third countries because of the area's very important ecosystem. It is one of the 10 most important wetlands in Greece, a declared National Park and one of the most important wetlands for birds in Europe. There is a plethora of national, European and international laws and regulations as well as administrative decisions regarding the study area. However, problems of implementation and compliance appear to be very strong causing severe implications in the area's sustainable development.

scholarly journals Architectural Design and Open Innovation Symbiosis: Insights from Research Campuses, Manufacturing Systems, and Innovation Districts

2018 ◽  
Vol 10 (12) ◽  
pp. 4495 ◽  
Author(s):  
JinHyo Yun ◽  
Xiaofei Zhao ◽  
Tan Yigitcanlar ◽  
DooSeok Lee ◽  
HeungJu Ahn
Keyword(s):  
Case Studies ◽  
Open Innovation ◽  
Architectural Design ◽  
Manufacturing Systems ◽  
Model Building ◽  
Ford Motor Company ◽  
Concept Model ◽  
Knowledge Based ◽  
Innovation Activities ◽  
Systems Research

In the age of knowledge-based economies, open innovation has increasing importance. This study aimed to explore the architectural design approaches that can revitalize innovation activities in the era of knowledge-based economies. This paper investigated global case research campuses, manufacturing systems, and innovation districts where architectural design supports innovation activities. This study developed a research framework of architectural design for innovation and applied it in the selected case studies to generate insights. First, the research campuses selected as case studies included Panopticon, DGIST Education and Research Campuses, and Apple Park. Second, the open innovation of manufacturing system architecture was analyzed through the case studies of the Ford Motor Company, Toyota Motor Corporation, and Rolls-Royce Motor Cars. Third, this paper studied the clustered open innovation architectures of Macquarie Park, One North, and Strijp-S Innovation Districts. The findings revealed how tacit knowledge motivates open innovation through the design of manufacturing systems, research campuses, and innovation districts through real examples and mathematical or concept model building.

scholarly journals Précis of Neuroconstructivism: How the Brain Constructs Cognition

2008 ◽  
Vol 31 (3) ◽  
pp. 321-331 ◽  
Author(s):  
Sylvain Sirois ◽  
Michael Spratling ◽  
Michael S. C. Thomas ◽  
Gert Westermann ◽  
Denis Mareschal ◽  
...  
Keyword(s):  
Cognitive Development ◽  
Case Studies ◽  
Brain Regions ◽  
Object Representations ◽  
Phonological Development ◽  
Contextual Influences ◽  
Guiding Principle ◽  
Levels Of Organization ◽  
Atypical Development ◽  
The Brain

AbstractNeuroconstructivism: How the Brain Constructs Cognition proposes a unifying framework for the study of cognitive development that brings together (1) constructivism (which views development as the progressive elaboration of increasingly complex structures), (2) cognitive neuroscience (which aims to understand the neural mechanisms underlying behavior), and (3) computational modeling (which proposes formal and explicit specifications of information processing). The guiding principle of our approach is context dependence, within and (in contrast to Marr [1982]) between levels of organization. We propose that three mechanisms guide the emergence of representations: competition, cooperation, and chronotopy; which themselves allow for two central processes: proactivity and progressive specialization. We suggest that the main outcome of development is partial representations, distributed across distinct functional circuits. This framework is derived by examining development at the level of single neurons, brain systems, and whole organisms. We use the terms encellment, embrainment, and embodiment to describe the higher-level contextual influences that act at each of these levels of organization. To illustrate these mechanisms in operation we provide case studies in early visual perception, infant habituation, phonological development, and object representations in infancy. Three further case studies are concerned with interactions between levels of explanation: social development, atypical development and within that, developmental dyslexia. We conclude that cognitive development arises from a dynamic, contextual change in embodied neural structures leading to partial representations across multiple brain regions and timescales, in response to proactively specified physical and social environment.

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