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2015•International Journal of InnovationOpen access

Virtual R&D Teams: A New Model for Product Development

Nader Ale Ebrahim

Open full text 40 citations

Abstract

Increased global competitions have urged small and medium enterprises (SMEs) to develop new products faster. Virtual research and development (RD) teams in SMEs can offer a solution to speed up time-to-market of new product development (NPD). However, factors that affect the effectiveness of virtual teams for NPD are still not adequately verified. This paper presents the correlations between virtual RD team constructs and virtual team effectiveness by developing a “Virtual Research and Development Team” (ViRDT) model. The items, which may influence the effectiveness of virtual teams, are taken from the literature. Through an online survey and by application of structural equation modeling (SEM) technique, the proposed model (ViRDT) has been tested. The results suggest that the process construct is strongly correlated to the effectiveness of virtual teams. Therefore, NPD managers in virtual RD teams should concentrate on the process of new product development rather than simply equipping the teams with the latest technology or employing highly qualified experts. Further empirical research is recommended to fully explore and appreciate the breadth of application of the ViRDT model.Virtual Ramp;D Teams: A New Model for Product Development

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What this paper is about

Increased global competitions have urged small and medium enterprises (SMEs) to develop new products faster. Virtual research and development (RD) teams in SMEs can offer a solution to speed up time-to-market of new product development (NPD). However, factors that affect the effectiveness of virtual teams for NPD are still not adequately verified. This paper presents the correlations between virtual RD team constructs and virtual team effectiveness by developing a “Virtual Research and Development Team” (ViRDT) model. The items, which may influence the effectiveness of virtual teams, are taken from the literature. Through an online survey and by application of structural equation modeling (SEM) technique, the proposed model (ViRDT) has been tested. The results suggest that the process construct is strongly correlated to the effectiveness of virtual teams. Therefore, NPD managers in virtual RD teams should concentrate on the process of new product development rather than simply equipping the teams with the latest technology or employing highly qualified experts. Further empirical research is recommended to fully explore and appreciate the breadth of application of the ViRDT model.Virtual Ramp;D Teams: A New Model for Product Development

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Available abstract

Increased global competitions have urged small and medium enterprises (SMEs) to develop new products faster. Virtual research and development (RD) teams in SMEs can offer a solution to speed up time-to-market of new product development (NPD). However, factors that affect the effectiveness of virtual teams for NPD are still not adequately verified. This paper presents the correlations between virtual RD team constructs and virtual team effectiveness by developing a “Virtual Research and Development Team” (ViRDT) model. The items, which may influence the effectiveness of virtual teams, are taken from the literature. Through an online survey and by application of structural equation modeling (SEM) technique, the proposed model (ViRDT) has been tested. The results suggest that the process construct is strongly correlated to the effectiveness of virtual teams. Therefore, NPD managers in virtual RD teams should concentrate on the process of new product development rather than simply equipping the teams with the latest technology or employing highly qualified experts. Further empirical research is recommended to fully explore and appreciate the breadth of application of the ViRDT model.Virtual Ramp;D Teams: A New Model for Product Development

Key concepts: Virtual team, New product development, Construct (python library), Process (computing), Knowledge management, Product (mathematics), Computer science, Structural equation modeling

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