39 resultados para new product development


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Purpose – This paper explores the factors which determine the degree of knowledge transfer in inter-firm new product development projects. We test a theoretical model exploring how inter-firm knowledge transfer is enabled or hindered by a buyer’s learning intent, the degree of supplier protectiveness, inter-firm knowledge ambiguity, and absorptive capacity. Design/methodology/approach – A sample of 153 R&D intensive manufacturing firms in the UK automotive, aerospace, pharmaceutical, electrical, chemical, and general manufacturing industries were used to test the framework. Two-step structural equation modeling in AMOS 7.0 was used to analyse the data. Findings – Our results indicate that a buyer’s learning intent increases inter-firm knowledge transfer, but also acts as an incentive for suppliers to protect their knowledge. Such defensive measures increase the degree of inter-firm knowledge ambiguity, encouraging buyer firms to invest in absorptive capacity as a means to interpret supplier knowledge, but also increase the degree of knowledge transfer. Practical implications – Our paper illustrates the effects of focusing on acquisition, rather than accessing, supplier technological knowledge. We show that an overt learning strategy can be detrimental to knowledge transfer between buyer-supplier, as supplier’s react by restricting the flow of information. Organisations are encouraged to consider this dynamic when engaging in multi-organisational new product development projects. Originality/value – This paper examines the dynamics of knowledge transfer within inter-firm NPD projects, showing how transfer is influenced by the buyer firm’s learning intention, supplier’s response, characteristics of the relationship and knowledge to be transferred.

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The increasing risks and costs of new product development require firms to collaborate with their supply chain partners in product management. In this paper, a supply chain model is proposed with one risk-neutral supplier and one risk-averse manufacturer. The manufacturer has an opportunity to enhance demand by developing a new product, but both the actual demand for new product and the supplier’s wholesale price are uncertain. The supplier has an incentive to share risks of new product development via an advance commitment to wholesale price for its own profit maximization. The effects of the manufacturer’s risk sensitivity on the players’ optimal strategies are analyzed and the trade-off between innovation incentives and pricing flexibility is investigated from the perspective of the supplier. The results highlight the significant role of risk sensitivity in collaborative new product development, and it is found that the manufacturer’s innovation level and retail price are always decreasing in the risk sensitivity, and the supplier prefers commitment to wholesale price only when the risk sensitivity is below a certain threshold.

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Purpose – The purpose of this paper is to summarize the accumulated body of knowledge on the performance of new product projects and provide directions for further research. Design/methodology/approach – Using a refined classification of antecedents of new product project performance the research results are meta-analyzed in the literature in order to identify the strength and stability of predictor-performance relationships. Findings – The results reveal that 22 variables have a significant relationship with new product project performance, of which only 12 variables have a sizable relationship. In order of importance these factors are the degree of organizational interaction, R&D and marketing interface, general product development proficiency, product advantage, financial/business analysis, technical proficiency, management skill, marketing proficiency, market orientation, technology synergy, project manager competency and launch activities. Of the 34 variables 16 predictors show potential for moderator effects. Research limitations/implications – The validity of the results is constrained by publication bias and heterogeneity of performance measures, and directions for the presentation of data in future empirical publications are provided. Practical implications – This study helps new product project managers in understanding and managing the performance of new product development projects. Originality/value – This paper provides unique insights into the importance of predictors of new product performance at the project level. Furthermore, it identifies which predictor-performance relations are contingent on other factors.

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In the USA today, the precipitous rise of new financial mechanisms for capitalisation of firms as well as the merger and acquisition of others, especially risk equity capital through venture capitalist and investment banking, has sparked growth and helped to bring the economy out of the 1990s recession into a robust continuous growth pattern well positioned for the next century. The scenario is not new. For the venture capitalists of ''Silicon Valley'' in California, the experience is not new. They have seen the new industries arise before, like a phoenix from ashes of ruin, despair and even failure. Venture capital poured into high tech start-up companies has been an enormous source of financial support for the entrepreneurs who head new and growing companies. The mid-1990s marked the most dramatic increase yet recorded. Indicators, such as the NASDAQ document, outlined the solid and continuous growth in high tech industries. The paper discusses investment in US corporations within the context of governance and management of the company. Discussion about the various forms of finance are related to the organisation and management of the US corporation. Critical to any firm today are its ability to find innovative, new products or services. A growing literature on resource-base framework for analysis will be discussed as part of the firm's development of research for commercialisation. The results of a recent survey further shed light on the relationship between corporate financial management and allocated resources for research and development as the ''engine'' for new product development and therefore corporate market share and growth. The conclusion is that more financial mechanisms will be created and changed within US corporate systems to adjust, grow, and expand companies in the global economic arena, as the inevitable economic pattern leads to mergers, consolidations, and increasing cooperation and alliances among firms.

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Suppliers are increasingly involved in buyer firms’ interorganizational new product development (NPD) teams. Yet the transfer of knowledge within this context may be subject to varying degrees of causal ambiguity, potentially limiting the effect of supplier involvement on performance. We develop a theoretical model exploring the effect of supplier involvement practices on the level of causal ambiguity within interorganizational NPD teams, and the subsequent impact on competitor imitation, new product advantage, and project performance. Our model also serves as a test of the paradox that causal ambiguity both inhibits imitation by competitors, but also adversely affects organisational outcomes. Results from an empirical study of 119 R&D intensive manufacturing firms in the United Kingdom largely support these hypotheses. Results from structural equation modeling show that supplier involvement orientation and long-term commitment lower causal ambiguity within interorganizational NPD teams. In turn, this lower causal ambiguity generates a new product advantage and increases project performance for the buyer firm, but has no significant effect on competitor imitation. Instead, competitor imitation is delayed by the extent to which the firm develops a new product advantage within the market. These results shed light on the causal ambiguity paradox showing that lower causal ambiguity during interorganizational new product development increases both product and project performance, but without reducing barriers to imitation. Product development managers are encouraged to utilize supplier involvement practices to minimise ambiguity in the NPD project, and to target their supplier involvement efforts on solving causally ambiguous technological problems to sustain a competitive advantage.

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In this article the multibody simulation software package MADYMO for analysing and optimizing occupant safety design was used to model crash tests for Normal Containment barriers in accordance with EN 1317. The verification process was carried out by simulating a TB31 and a TB32 crash test performed on vertical portable concrete barriers and by comparing the numerical results to those obtained experimentally. The same modelling approach was applied to both tests to evaluate the predictive capacity of the modelling at two different impact speeds. A sensitivity analysis of the vehicle stiffness was also carried out. The capacity to predict all of the principal EN1317 criteria was assessed for the first time: the acceleration severity index, the theoretical head impact velocity, the barrier working width and the vehicle exit box. Results showed a maximum error of 6% for the acceleration severity index and 21% for theoretical head impact velocity for the numerical simulation in comparison to the recorded data. The exit box position was predicted with a maximum error of 4°. For the working width, a large percentage difference was observed for test TB31 due to the small absolute value of the barrier deflection but the results were well within the limit value from the standard for both tests. The sensitivity analysis showed the robustness of the modelling with respect to contact stiffness increase of ±20% and ±40%. This is the first multibody model of portable concrete barriers that can reproduce not only the acceleration severity index but all the test criteria of EN 1317 and is therefore a valuable tool for new product development and for injury biomechanics research.

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The purpose of this paper is to conceptualise and operationalise the concept of supply chain management sustainability practices. Based on a multi-stage procedure involving a literature review, expert Q-sort and pre-test process, pilot test and survey of 156 supply chain directors and managers in Ireland, we develop a multidimensional conceptualisation and measure of social and environmental supply chain management sustainability practices. The research findings show theoretically sound constructs based on four underlying sustainable supply chain management practices: monitoring, implementing systems, new product and process development and strategy redefinition. A two-factor model is then identified as the most reliable: comprising process-based and market-based practices.

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This paper is believed to be the first documented account of a full adoption of lean by a software company. Lean techniques were devised by Toyota and other manufacturers over the last 50 years. The techniques are termed lean because they require less resource to produce more product and exceptional quality. Lean ideas have also been successful in service industries and product development. Applying lean to software has been advocated for over 10 years. Timberline, Inc started their lean initiative in Spring 2001 and this paper records their journey, results and lessons learned up to Fall 2003. This case study demonstrates that lean thinking can work successfully for software developers. It also indicates that the extensive lean literature is a valuable source of new ideas for software engineering.