scholarly journals FACILITATING INNOVATION: THE ROLE OF THE CENTRE FOR CONSTRUCTION INNOVATION

2005 ◽  
Vol 9 (2) ◽  
pp. 79-89 ◽  
Author(s):  
Carl Abbott ◽  
Stephen Allen
Keyword(s):  
Best Practice ◽  
Success Factors ◽  
Collaborative Process ◽  
Factors Associated ◽  
Critical Success ◽  
Industry Environment ◽  
Cultural Assessment ◽  
And Training

This case‐study outlines the activities of the Centre for Construction Innovation highlighting critical success factors associated with collaborative centres and innovation brokers in transferring knowledge between Universities and Industry. The case study also explains the national context in which the centre has developed. The Centre's approach to the provision of knowledge and tools to create an industry environment that fosters innovation is presented and discussed. The Centre brings together industrialists and academics as multi‐disciplinary participants in a range of best practice education and training, seminars, workshops and in‐company events, facilitating change by learning, debate and experience. The Centre recognises the complex relationship that exists between projects, organisations, people and contracts and this in turn determines both what is possible and what is desirable. The collaborative process that seeks to achieve desirable outcomes requires inter‐ and intra‐ organisational cultural assessment and development. Facilitating this is a key role of the Centre.

scholarly journals A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence

2021 ◽  
pp. 177-210
Author(s):  
Edward Curry ◽  
Edo Osagie ◽  
Niki Pavlopoulou ◽  
Dhaval Salwala ◽  
Adegboyega Ojo
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Best Practice ◽  
Success Factors ◽  
Critical Success ◽  
Operational Capabilities ◽  
And Performance ◽  
Practice Framework ◽  
Centres Of Excellence

AbstractThis chapter presents a best practice framework for the operation of Big Data and Artificial Intelligence Centres of Excellence (BDAI CoE). The goal of the framework is to foster collaboration and share best practices among existing centres and support the establishment of new Centres of Excellence (CoEs) within Europe. The framework was developed following a phased design science process, starting from a literature review to create an initial framework which was enhanced with the findings of a multi-case study of existing successful CoEs. Each case study involved an in-depth analysis and a series of in-depth interviews with leadership personnel of existing CoEs.The resulting best practice framework models a CoE using open systems theory that comprises input (environment), transformation (CoE) and output (impact). The framework conceptualises the internal operation of the CoE as a set of high-level capabilities including strategy, governance, structure, funding, and people and culture. The core capabilities of the CoE include business development, collaboration, research support services, technical infrastructure, experimentation/demonstration platforms, Intellectual Property (IP) and data protection, education and public engagement, policy outreach, technology and knowledge transfer, and performance and impact assessment. In this chapter we describe the best practice framework for CoEs in big data and AI, including objectives, environment, strategic and operational capabilities, and impact. The chapter outlines how the framework can be used by a CoE to support its strategic direction and operational decisions over time, and how a new CoE can use it in the start-up phase. Based on the analysis of the case studies, the chapter explores the critical success factors of a CoE as defined by a survey of CoE managers. Finally, the chapter concludes with a summary.

Advocacy for The Mentally Impaired Elderly: A Case Study Analysis

1989 ◽  
Vol 14 (4) ◽  
pp. 353-376 ◽  
Author(s):  
Jeanie Kayser-Jones ◽  
Marshall B. Kapp
Keyword(s):  
Nursing Home ◽  
Nursing Home Residents ◽  
Self Advocacy ◽  
State Laws ◽  
Case Study Analysis ◽  
Appropriate Treatment ◽  
Mentally Impaired ◽  
And Training

The authors present a case study to illustrate how a mentally impaired but socially intact nursing home resident, who had no one to act as an advocate for her, was denied appropriate treatment for an acute illness which ultimately resulted in her death. The case raises important questions about advocacy for the mentally-impaired, acutely-ill institutionalized patient. This Article explores the role of the advocate, how advocates are selected, what qualities and talents they should possess, and what responsibilities should be assigned to them. The authors suggest that nursing home residents should be encouraged to engage in self-advocacy to the greatest extent possible. The competent elderly should be urged to name their preferred advocates. Individuals who serve in advocacy roles should be advised to seek information regarding the patient's wishes from those who know the patient well. Furthermore, there is a need for quality education and training of those who serve in advocacy roles on behalf of nursing home residents, and state laws need to specify the responsibilities of persons who serve as advocates.

scholarly journals Project Selection Frameworks and Methodologies for Reducing Risks in Project Portfolio Management

2017 ◽  
pp. 245-263
Author(s):  
Fabio Nonino
Keyword(s):  
Neural Networks ◽  
Portfolio Management ◽  
Success Factors ◽  
Project Selection ◽  
Project Portfolio ◽  
Project Portfolio Management ◽  
Critical Success ◽  
Innovative Methodology ◽  
Correct Level

Extracting and consolidating knowledge from past projects can help managers in selecting projects with the correct level of riskiness, while market analysis gives directions for reaching the objective of a balanced project portfolio. To this extent, the chapter discusses strategic importance of project selection and the role of risks and uncertainties in project portfolio management and presents some fundamental and innovative frameworks and project selection methodologies for balancing risks. Finally, the chapter proposes a model containing an innovative methodology, based on artificial neural networks, to help managers in balancing project portfolio and assessing projects during the selection phase on the basis of risks, uncertainties and critical success factors.

scholarly journals A Review of the Critical Success Factors in the Adoption of Lean Production System by Small and Medium Sized Enterprises

2014 ◽  
Vol 564 ◽  
pp. 627-631 ◽  
Author(s):  
H. Tamjid Yamchello ◽  
R. Samin ◽  
A. Tamjidyamcholo ◽  
P. Bareji ◽  
A. Beheshti
Keyword(s):  
Cultural Change ◽  
Production System ◽  
Critical Success Factors ◽  
Success Factors ◽  
Lean Production ◽  
Dynamic Markets ◽  
Critical Success ◽  
Management Commitment ◽  
Top Management Commitment ◽  
And Training

Small and Medium-sized Enterprises (SMEs) are important contributors to the economy of a country. In recent years, due to globalization and competition in the market they have faced high pressure to survive in the market. Lean production as a method of cost reduction which improves the efficiency has been adopted by many SMEs to survive within these dynamic markets. However, many failures of implementing a successful lean production system have been reported, caused by the inherent limitations of and factors unique to SMEs. This paper reviewed studies that focused on the Critical Success Factors (CSFs) of implementing lean production among SMEs. The result of the study highlighted that lack of top management commitment, cultural change, education and training might hinder the implementation of lean production in SMEs successfully.

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