new product performance, meta-analysis, functional diversity, strategic alignment, predictor variables, bivariate tendencies Product innovation is increasingly valued as a key component of the sustainable success of a business’s operations. As a result, there has been a noticeable increase in the number of studies directed at explicating the drivers of new product success. To help managers and researchers synthesize this growing body of evidence, the authors conduct a meta-analysis of the new product performance literature. Of the 24 predictors of new product performance investigated, product advantage, market potential, meeting customer needs, predevelopment task proficiencies, and dedicated resources, on average, have the most significant impact on new product performance. The authors also find that the predictor–performance relationships can vary by measurement factor (e.g., the use of multi-item scales, subjective versus objective measures of performance, senior versus project management reporting, time elapsed since product introduction) or contextual factor (e.g., services versus goods, Asian versus North American markets, competition in high-technology versus low-technology markets). They discuss the implications of these findings and offer directions for further research. Author(s): David H. Henard 1 | David M. Szymanski 2 1. Assistant Professor of Marketing, Department of Business Management, North Carolina State University 2. Al and Marion Withers Research Fellow and Director, Center for Retailing Studies, Mays College and Graduate School of Business, Texas A&M University 1.  | Attribution Biases in the Evaluation of New Product Development Team Members. Corinne Faure. Journal of Product Innovation Management | Volume: 26 | Issue: 4 | Pps: 407-423 CrossRef |
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32.  | New Product Success: Is It Really Controllable by Managers in Highly Turbulent Environments?. Cornelia Droge, Roger Calantone, Nukhet Harmancioglu. Journal of Product Innovation Management | Volume: 25 | Issue: 3 | Pps: 272-286 CrossRef |
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