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Development Speed (development + speed)
Selected AbstractsThe Impact of Product Innovativeness on the Link between Development Speed and New Product Profitability,THE JOURNAL OF PRODUCT INNOVATION MANAGEMENT, Issue 3 2006Fred Langerak A review of the literature reveals that the relationship between development speed and new product profitability is not as strong and straightforward as conventional wisdom suggests. A number of studies show positive results, others show mixed results, and some present no evidence of a relationship. In other words, the valence of the link between development speed and new product profitability is unclear at this time. Therefore, this study investigates whether or not speeding new products to market has positive or negative effects on new product profitability. Prior research shows that product innovativeness influences both development speed and new product profitability. This raises the question of whether increasing speed is equally successful in improving profitability across new products that differ in their degree of innovativeness. Therefore, this study also investigates the moderating effect of product innovativeness on the relationship between development speed and new product profitability. The results from a survey-based study of 233 manufacturers of industrial products in the Netherlands reveal an inverted U-shaped relationship between development speed and new product profitability. The findings also show that the optimal point is different for two new product types,product improvements and line additions,that vary in their innovativeness. These results provide an onset for the development of a decision tool that helps managers to determine how much to spend on accelerating the development of individual new products and how they should allocate that spending across products in their new product portfolio. [source] Functional Management Competence and Growth of Young Technology-Based FirmsCREATIVITY AND INNOVATION MANAGEMENT, Issue 3 2008Sören Salomo Acknowledging an increased research interest into the success factors for young technology-based firms in the last decade, the present study serves two main purposes. First, we aim at developing a comprehensive concept of functional management competence in young technology-based firms. Functional management competence covers the understanding of and proficiency in managing specific functional tasks (Katz, 1974). As we focus on young technology-based firms, it is suggested that marketing, financial and technology management tasks are at the core of functional management competence. Second, we aim at delineating and validating an appropriate measurement model for functional management competence. In order to test the model's nomological validity, we investigate the impact of functional management competence on firm growth. Therefore, building on established firm development approaches, we propose a phase model for the development of young technology-based firms. Our study builds upon data from 212 young technology-based firms in the field of microtechnology, nanotechnology, electronics, optics and lasers. We use formative measurement models to establish valid and reliable constructs and a path model based on partial least squares modelling to investigate the performance effects. The results suggest that functional management competences generally are significant drivers of firm development speed. In particular, technology and marketing management competences are shown to impact development speed. While technology management competence is positively driving development speed, the marketing management competence impact on speed is mediated by competitive advantage of the new products developed by young technology-based firms. Financial management competence has no significant link to firm development speed. [source] Voltinism flexibility of a riverine dragonfly along thermal gradientsGLOBAL CHANGE BIOLOGY, Issue 3 2008ERIK BRAUNE Abstract Potential effects of future warming should be reflected in life history patterns of aquatic organisms observed in warmer climates or in habitats that are different in ambient temperature. In the special case of the dragonfly Gomphus vulgatissimus (L.) (Odonata: Gomphidae) previous research suggests that voltinism decreases from south to north. We analysed data on voltinism from 11 sample sites along a latitudinal gradient from about 44°N to 53°N, comprising small streams to medium-sized rivers. Furthermore, to simulate different conditions and to allow projections for future climate change scenarios, we developed a population dynamic model based on a projection matrix approach. The parameters of the model are dependent on temperature and day length. Our field results indicate a decrease in voltinism along the latitudinal gradient from southern to northern Europe and a corresponding increase of voltinism with higher temperatures. An increase in voltinism with width of the running water implies an effect of varying habitat temperature. Under the impact of global warming, our model predicts an increased development speed, particularly in the northern part of the latitudinal gradient, an extension of the northern range limit and changes in phenology of G. vulgatissimus, leading to an extension of the flight season in certain regions along the gradient. [source] An Integrated Framework for Measuring Product Development Performance in High Technology IndustriesPRODUCTION AND OPERATIONS MANAGEMENT, Issue 2 2005Debasish N. Mallick We present an integrated framework for measuring product development performance. The framework consists of a three stage model for exploring the relationships between metrics used by design, manufacturing, marketing functions, and overall commercial success. Using a cross-sectional survey of 383 product development professionals working on 38 product development projects in the high-tech electronic assembled goods manufacturing sector, we provide empirical evidence of the proposed framework. The findings indicate that in the high-tech manufacturing sector (1) commercial success of new product development projects is primarily determined by market share, (2) gain in market share is primarily driven by lower unit cost and not by technical performance, and (3) reduction in unit cost is primarily driven by the increased speed of new product development and not by the R&D budget. The study failed to identify any significant association between R&D budget and technical performance, and development speed and technical performance. [source] The Impact of Product Innovativeness on the Link between Development Speed and New Product Profitability,THE JOURNAL OF PRODUCT INNOVATION MANAGEMENT, Issue 3 2006Fred Langerak A review of the literature reveals that the relationship between development speed and new product profitability is not as strong and straightforward as conventional wisdom suggests. A number of studies show positive results, others show mixed results, and some present no evidence of a relationship. In other words, the valence of the link between development speed and new product profitability is unclear at this time. Therefore, this study investigates whether or not speeding new products to market has positive or negative effects on new product profitability. Prior research shows that product innovativeness influences both development speed and new product profitability. This raises the question of whether increasing speed is equally successful in improving profitability across new products that differ in their degree of innovativeness. Therefore, this study also investigates the moderating effect of product innovativeness on the relationship between development speed and new product profitability. The results from a survey-based study of 233 manufacturers of industrial products in the Netherlands reveal an inverted U-shaped relationship between development speed and new product profitability. The findings also show that the optimal point is different for two new product types,product improvements and line additions,that vary in their innovativeness. These results provide an onset for the development of a decision tool that helps managers to determine how much to spend on accelerating the development of individual new products and how they should allocate that spending across products in their new product portfolio. [source] |