965 resultados para co-innovation
Resumo:
Co-production and strategic partnerships may generate valuable learning opportunities for firms to access to the knowledge and expertise of their partners. Such sharing and transfer of knowledge has become an increasingly common way for organising corporate finance and resources. However, not all collaborations result in a net positive experience for both partners. It can be a zero-sum game in which the partner learning the fastest dominates the relationship. In some cases, failure to gain access to partner knowledge results in unequal benefits accruing from such alliances. By examining the Singapore film industry from a learning perspective and taking into account particular forms of alliances, the study contributes to our understanding of the potential benefit and challenges of coproduction as a strategy for development.
Resumo:
We develop and test a theoretically-based integrative model of organizational innovation adoption. Confirmatory factor analyses using responses from 134 organizations showed that the hypothesized second-order model was a better fit to the data than the traditional model of independent factors. Furthermore, although not all elements were significant, the hypothesized model fit adoption better than the traditional model.
Resumo:
This paper discusses the issues with sharing information between different disciplines in collaborative projects. The focus is on the information itself rather than the wider issues of collaboration. A range of projects carried out by the Cooperative Research Centre for Construction Innovation (CRC CI) in Australia is used to illustrate the issues.
Resumo:
There has been increased research interest in Co-operative Vehicle Infrastructure Systems (CVIS) from the eld of Intelligent Transport Systems (ITS). However most of the research have focused on the engineering aspects and overlooked their relevance to the drivers' behaviour. This paper argues that the priority for cooperative systems is the need to improve drivers decision making and reduce drivers' crash risk exposure to improve road safety. Therefore any engineering solutions need to be considered in conjuction with traffic psychology theories on driver behaviour. This paper explores the advantages and limitations of existing systems and emphasizes various theoretical issues that arise in articulating cooperative systems' capabilities and drivers' behaviour.
Resumo:
Both creative industries and innovation are slippery fish to handle conceptually, to say nothing of their relationship. This paper faces, first, the problems of definitions and data that can bedevil clear analysis of the creative industries. It then presents a method of data generation and analysis that has been developed to address these problems while providing an evidence pathway supporting the movement in policy thinking from creative output (through industry sectors) to creative input to the broader economy (through a focus on occupations/activity). Facing the test of policy relevance, this work has assisted in moving the ongoing debates about the creative industries toward innovation thinking by developing the concept of creative occupations as input value. Creative inputs as 'enablers' arguably has parallels with the way ICTs have been shown to be broad enablers of economic growth. We conclude with two short instantiations of the policy relevance of this concept: design as a creative input; and creative human capital and education.
Resumo:
The creative industries idea is better than even its original perpetrators might have imagined, judging from the original mapping documents. By throwing the heavy duty copyright industries into the same basket as public service broadcasting, the arts and a lot of not-for-profit activity (public goods) and commercial but non-copyright-based sectors (architecture, design, increasingly software), it really messed with the minds of economic and cultural traditionalists. And, perhaps unwittingly, it prepared the way for understanding the dynamics of contemporary cultural ‘prosumption’ or ‘playbour’ in an increasingly networked social and economic space.
Resumo:
Building Information Modelling (BIM) is an IT enabled technology that allows storage, management, sharing, access, update and use of all the data relevant to a project through out the project life-cycle in the form of a data repository. BIM enables improved inter-disciplinary collaboration across distributed teams, intelligent documentation and information retrieval, greater consistency in building data, better conflict detection and enhanced facilities management. While the technology itself may not be new, and similar approaches have been in use in some other sectors like Aircraft and Automobile industry for well over a decade now, the AEC/FM (Architecture, Engineering and Construction/ Facilities Management) industry is still to catch up with them in its ability to exploit the benefits of the IT revolution. Though the potential benefits of the technology in terms of knowledge sharing, project management, project co-ordination and collaboration are near to obvious, the adoption rate has been rather lethargic, inspite of some well directed efforts and availability of supporting commercial tools. Since the technology itself has been well tested over the years in some other domains the plausible causes must be rooted well beyond the explanation of the ‘Bell Curve of innovation adoption’. This paper discusses the preliminary findings of an ongoing research project funded by the Cooperative Research Centre for Construction Innovation (CRC-CI) which aims to identify these gaps and come up with specifications and guidelines to enable greater adoption of the BIM approach in practice. A detailed literature review is conducted that looks at some of the similar research reported in the recent years. A desktop audit of some of the existing commercial tools that support BIM application has been conducted to identify the technological issues and concerns, and a workshop was organized with industry partners and various players in the AEC industry for needs analysis, expectations and feedback on the possible deterrents and inhibitions surrounding the BIM adoption.