Abstract

Purpose – The purpose of this paper is to conduct an empirical investigation on the new product development (NPD) practices in Indian manufacturing industries. The NPD best practices constructs are identified from the literature and then an effort have been made to statistically establish the underlying principal components of NPD practices by checking their reliability and validity for the case of Indian manufacturing industry. Design/methodology/approach – In all, 96 NPD best practices constructs are identified from literature articles published between 1998 and 2009. Principal component analysis (PCA) is conducted to establish the seven components of NPD practices. Cronbach's α values are computed to measure internal consistency or reliability of the established components of NPD practices. Further, confirmatory factor analysis is conducted on the established measurement model to test a hypothesized factor structure through construct validity, convergent validity and divergent validity. Findings – The PCA of NPD best practices identified the seven underlying components (latent variables) namely “NPD strategy,” “NPD support system,” “product portfolio management,” “NPD team,” “NPD tools,” “product launch” and “concept generation.” In NPD strategy, Indian manufacturing companies are highly inclined toward cost reduction, cycle time reduction, competitive advantage and fast follower strategies. All NPD support system constructs are information technology dependent tools which require hardware, software and databases to support it. Indian manufacturing organizations are fundamentally concentrating on right balance of portfolio through improvements in the current products, cost reduction and additions to existing lines by using modular architectures and the reliable and valid NPD tools are FMEA, six sigma/quality management, DFMA/DF’X and QFD. Originality/value – To the best of the author's knowledge, this research represents the first attempt to investigate empirically the NPD practices in Indian manufacturing industry.

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