Indian Journal of Engineering

Identification of factors contributing to product development success in Indian manufacturing firms becomes essential for every organization to sustain in the competitive and volatile market environment which in turn reflects the ultimate achievement of the company. This study concerns about the identification of success factors and as well as success measures of new product development (NPD) in Indian manufacturing firms. Previous researches proves the importance of management related factors such as market analysis (MA), top management support (TMS), cross functional team (CFT), planning (P), human resource management (HRM), strategic management (SM) for successful product design and development. Accordingly, various aspects of success measures has been identified and segmented by experts in six different groups based on their characteristics such as measures related to time (C1), cost (C2), quality (C3), customer (C4), technological improvements (C5) and additional features (C6). Weights of clustered success measures have been calculated using Analytic Hierarchy Process (AHP). As the weight of the quality related measures is higher than others, so this has been used as success measure for this study. The manifests of the quality related measures are meet quality guidelines, achieved product performance goal and achievement of design goals. This empirical study is based on the data collected from 29 engineering manufacturing industries in India, involved in product design and development activities. The reliability of the data has been tested by applying Cronbach's Alpha reliability test using IBM SPSS software. The main objective of this study is to develop a framework using structural equation modeling approach (SEM) to analyse the effects of the all six management related constructs on product development success which can be expressed by quality related constructs. The model is structured using IBM SPSS AMOS 22.0 software for analysis purpose. The hypothesis testing performed by using SEM approach proves that each factor has positive impact on product development success.