Roles for knowledge-based computer systems: Case studies in maternity care

AI & Society ◽  
2001 ◽  
Vol 15 (4) ◽  
pp. 386-395 ◽  
Author(s):  
M. Harris ◽  
A. P. Jagodzinski ◽  
K. R. Greene

2001 ◽  
Vol 15 (4) ◽  
pp. 239-250 ◽  
Author(s):  
Rosa Grimaldi ◽  
Alessandro Grandi

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.



2009 ◽  
Vol 11 (02) ◽  
pp. 213-243 ◽  
Author(s):  
DIMITRA MANOU ◽  
JASON PAPATHANASIOU

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.



Author(s):  
PVS Rao ◽  
S Krishnan ◽  
P Poddar ◽  
V Ramasubramanian ◽  
K Samudravijaya ◽  
...  


2018 ◽  
Vol 10 (12) ◽  
pp. 4495 ◽  
Author(s):  
JinHyo Yun ◽  
Xiaofei Zhao ◽  
Tan Yigitcanlar ◽  
DooSeok Lee ◽  
HeungJu Ahn

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.



1990 ◽  
Vol 13 (4) ◽  
pp. 344-351 ◽  
Author(s):  
Ira J. Kalet ◽  
Witold Paluszynski


1986 ◽  
Vol 23 (8) ◽  
pp. 298-302
Author(s):  
Michael J. R. Keen ◽  
D. A. Tunnell ◽  
Michael G. Hutchings


1975 ◽  
Vol 36 (1) ◽  
pp. 79-80
Author(s):  
Frederick G. Kilgour


2019 ◽  
Vol 13 (1) ◽  
pp. 163-214 ◽  
Author(s):  
Tino T. Herden

AbstractThe purpose of this paper is to provide a theory-based explanation for the generation of competitive advantage from Analytics and to examine this explanation with evidence from confirmatory case studies. A theoretical argumentation for achieving sustainable competitive advantage from knowledge unfolding in the knowledge-based view forms the foundation for this explanation. Literature about the process of Analytics initiatives, surrounding factors, and conditions, and benefits from Analytics are mapped onto the knowledge-based view to derive propositions. Eight confirmatory case studies of organizations mature in Analytics were collected, focused on Logistics and Supply Chain Management. A theoretical framework explaining the creation of competitive advantage from Analytics is derived and presented with an extensive description and rationale. This highlights various aspects outside of the analytical methods contributing to impactful and successful Analytics initiatives. Thereby, the relevance of a problem focus and iterative solving of the problem, especially with incorporation of user feedback, is justified and compared to other approaches. Regarding expertise, the advantage of cross-functional teams over data scientist centric initiatives is discussed, as well as modes and reasons of incorporating external expertise. Regarding the deployment of Analytics solutions, the importance of consumability, users assuming responsibility of incorporating solutions into their processes, and an innovation promoting culture (as opposed to a data-driven culture) are described and rationalized. Further, this study presents a practical manifestation of the knowledge-based view.



Author(s):  
HELEN LOWE ◽  
MICHAL PECHOUCEK ◽  
ALAN BUNDY

Configuration is a complex task generally involving varying measures of constraint satisfaction, optimization, and the management of soft constraints. Although many successful systems have been developed, these are often difficult to maintain and to generalize in rapidly changing domains. In this paper, we consider building intelligent knowledge-based systems with maintainability well to the fore in our requirements for such systems. We introduce two case studies: the initial proof of concept, which was in the domain of computer configuration, and a further field-tested study, the configuration of compressors. Central to our approach is the use of the proof planning technique, and the clean separation of different kinds of knowledge: factual, heuristic, and strategic.



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