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Academic Journal
Strategy & Entrepreneurship

“Understanding Antecedents of New Product Development Speed: A Meta-Analysis”

New product development speed is a key component of time-based strategy, which has becoming increasingly important for managing innovation in a fast-changing business environment. This meta-analytic review assesses the generalizability of the relationships between NPD speed and 17 of its antecedents to provide a better understanding of the salient and cross-situationally consistent factors that affect NPD speed. We grouped the antecedents into four categories of strategy, project, process, and team, and found that process and team characteristics are more generalizable and cross-situationally consistent determinants of NPD speed than strategy and project characteristics. We also conducted subgroup analyses and found that research method variables, such as level of analysis, source of data, and measurement of speed, moderate the relationships between NPD speed and its antecedents. We apply the study’s findings to assess several models of NPD speed, such as the balanced model of product development, the strategic orientation and organizational capability model, the compression vs. the experiential model, the centrifugal and centripetal model, and the product development cycle time model. We also discuss the implications of our findings for research and practice.
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Academic Journal
Strategy & Entrepreneurship

“When do organizations learn from successful experience? The Case of Venture Capital Firms”

Ability to accurately predict the outcomes of investments in new projects is recognized as an important antecedent of organizational success. Yet, despite the extensive research on resource-allocation decisions and forecasting, we know little about how accumulated experience shapes the accuracy of forecasts. In this study, we investigate the influence of success and failure experiences on the accuracy of venture capital predictions of the outcomes of their portfolio companies. We also explore the moderating influence of an important organizational factor, the size of a decision-making team. Our theory and findings highlight that success and failure experiences have significant and varying impact on the accuracy of organizational predictions. By examining these novel relationships, we extend theorizing about forecasting and learning, and bring novel insights to the field of entrepreneurship and venture capital.
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