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Innovation Capacity (innovation + capacity)

Distribution by Scientific Domains
Business, Economics, Finance and Accounting60%
Humanities and Social Sciences40%

Selected Abstracts

State Policies, Enterprise Dynamism, and Innovation System in Shanghai, China

GROWTH AND CHANGE, Issue 4 2007
WEIPING WU
ABSTRACT Today rapidly growing economies depend more on the creation, acquisition, distribution, and use of knowledge. As such, strategies for enhancing research and innovation capabilities have come to occupy a more important position in many developing nations, including China. Already the leading production center, and often seen as China's economic locomotive, Shanghai is striving aggressively to retain its national preeminence and has launched concerted efforts to increase local innovative output. The primary purpose of this paper is to understand how state-led efforts have fared in promoting technology innovation. By situating the city in the national and global context, the paper shows that Shanghai has gained a substantial lead in developing an innovation environment with extensive global linkages and leading research institutions. Recent efforts in building up the research and innovation capacity of the enterprise sector have begun to show progress. Although firms are enthusiastic about its future as an innovation center, Shanghai continues to face challenges of inadequate protection of intellectual property, lack of venture capital investment, and the tightening supply of highly qualified knowledge workers. [source]

Project selection based on intellectual capital scorecards

INTELLIGENT SYSTEMS IN ACCOUNTING, FINANCE & MANAGEMENT, Issue 1 2005
Hennie Daniels
In this paper we present a tool for the selection of a project portfolio in knowledge intensive organizations. Standard methods mostly focus on project selection on the basis of expected returns. In many cases other strategic factors are important such as customer satisfaction, innovation capacity, and development of best practices. These factors should be considered in their interdependence during the process of project selection. Here the point of departure is the intellectual capital scorecard in which the indicators are periodically measured against a target. The scores constitute the input of a programming model. From the optimal portfolio computed, clear objectives for management can be derived. The method is illustrated in an industrial case study. Copyright © 2005 John Wiley & Sons, Ltd. [source]

Capacity development for agricultural biotechnology in developing countries: an innovation systems view of what it is and how to develop it

JOURNAL OF INTERNATIONAL DEVELOPMENT, Issue 5 2005
Andy Hall
There are divergent views on what capacity development might mean in relation to agricultural biotechnology. The core of this debate is whether this should involve the development of human capital and research infrastructure, or whether it should encompass a wider range of activities which also include developing the capacity to use knowledge productively. This paper uses the innovation systems concept to shed light on this discussion, arguing that it is innovation capacity rather than science and technology capacity that has to be developed. It then presents six examples of different capacity development approaches. It concludes by suggesting that policy needs to take a multidimensional approach to capacity development in line with innovation systems perspective. But it also argues that policy needs to recognise the need to develop the capacity of diversity of innovation systems and that a key part of the capacity development task is to bring about the integration of these different systems at strategic points in time. Copyright © 2005 John Wiley & Sons, Ltd. [source]

Relationships between innovation stimulus, innovation capacity, and innovation performance

R & D MANAGEMENT, Issue 5 2006
Daniel I. Prajogo
This paper examines the integration of the human and technological aspects of innovation management by modelling the innovation stimulus , innovation capacity relationship in determining innovation performance. The research framework developed in this study was tested amongst 194 managers of Australian firms. The survey responses indicate that both the relationships between innovation stimulus and innovation capacity and between innovation capacity and innovation performance are significant and strong. However, innovation stimulus does not show any direct effect on innovation performance, suggesting that its effect is mediated through innovation capacity. The overall practical implication that can be drawn from the findings is that to achieve high innovation performance, organizations first need to develop the behavioural and cultural context and practices for innovation (i.e. stimulus), and only within such conducive environments is it possible for organizations to develop innovative capacity in research and development and technology so as to more effectively deliver innovation outcomes and performance. [source]