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Social capital is gaining preeminence as a concept to interpret the behavior of organizational entities, especially in new product development (NPD). Significant research is accumulating that links the performance of NPD teams with the patterns of social capital that they exhibit. The research suggests that analyzing teams' social capital could provide insights to improve substantively the performance of NPD teams. However, the pragmatic use of social capital presents a number of difficulties. Investigating and resolving these issues is vital if the concept of social capital can be used to achieve performance improvement. This paper reports on an investigation in the aerospace industry, the aim of which was to establish the feasibility of mapping and analyzing a team's social capital in order to provide insights and to highlight productive interventions. The investigation used an action-research methodology involving the codevelopment and coimplementation of solutions with two multinational companies, GKN Aerospace and TRW Aerospace Group, and a management consultancy organization, the Rossmore Group. This paper reports on the encapsulation of social capital research in a management tool and its application within GKN and TRW. The results of the investigation indicate that analyzing the social capital of NPD teams provides a useful approach to improving their performance. [ABSTRACT FROM AUTHOR]

Reliability improvement is the conceptual norm but has not been achieved by all sectors of industry. The U.K. aerospace industry is one that has aspired to make the transition from a culture of reliability demonstration to enhancement. This paper presents action research that examines the challenges facing this industry. A statistical model is developed to help measure the likely impact of failure modes on operational performance, hence providing a basis for managing the enhancement process. The model, which has general applicability to other product development processes, is stated and justified. The industrial interventions are described and an analysis of findings is presented. The proposed model is better than traditional approaches because it provides a systematic process to capture and integrate data from different sources to estimate reliability by directly measuring the engineering improvement achieved through product design and development. The estimates can be used to inform a traceable coherent argument about the level and growth in reliability to management and the customer as well as to provide insight into the impact of alternative engineering modifications to the design team. The modeling process has contributed to the partial transition to reliability enhancement of a consortium of companies who have changed their standard operating procedures to reflect the lessons learned from the research intervention. The insights gained contribute to an understanding of how the U.K. aerospace industry is changing its management of reliability enhancement in design. [ABSTRACT FROM AUTHOR]

The recent paper by L. Walls, J. Quigley, and J. Marshall, "Modeling to support reliability enhancement during product development with applications in the U.K. Aerospace industry," IEEE Trans. Eng. Manage., vol 53, no. 2, pp. 263274, May 2006, claimed that there "was no closed form" for the meantime between failure defined to be the minimum order statistic of independent, nonidentically distributed beta random variables. It appears that this statement is not true. Here, we derive explicit closed-form expressions for moments of order statistics for a sample of independent and nonidentically distributed beta random variables. The expressions involve a known special function. [ABSTRACT FROM AUTHOR]