13 research outputs found
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To learn or not to learn from new product development project failure: The roles of failure experience and error orientation
Data availability:
Data will be made available on request.Copyright © 2023 The Authors. New product development (NPD) project leaders' learning varies after experiencing project failure, as not all failure experience equally promotes learning and not all project leaders equally learn from failure. Drawing on the sensemaking and error management perspectives, this study focuses on two research questions: to what extent does project failure experience (i.e., the percentage of project failures in the overall project portfolio managed by a project leader and the time elapsed since last project failure) affect NPD project leaders' learning from failure? To what extent does a project leader's error orientation (i.e., error competence and error strain) moderate the effect of project failure experience on NPD project leaders' learning from failure? Based on survey responses collected at two distinct time points from 237 NPD project leaders in high-tech ventures, our results show that the percentage of project failures negatively affects learning from failure, and their negative relationship is weakened as error competence increases. In contrast, the time since project failure positively affects learning from failure, and their positive relationship is weakened as error strain increases. Our findings emphasize that a simplistic approach to learning from failure fails to uncover the transformative mechanisms involved in turning failure into learning in the NPD process. Instead, we suggest a customized approach to comprehending how project leaders can capitalize on project failure considering their failure experience and error orientation to learn from NPD project failure
Changing use of external business advice and government supports by SMEs in the 1990s
This paper uses cross-sectional surveys of 1991 and 1997, a panel survey of firms surviving between 1991 and 1997 and comparison with a further cross-sectional survey in 1999, to compare the levels of use by SMEs of external business advice. The resource-based theory of the firm indicates that SMEs seek advice in order to increase their competitive capacity. Over time, increasing competition between SMEs is expected to lead to increasing use of advice. However, the paper demonstrates that only modest changes over time have occurred in aggregate use of external advice by SMEs, and these are not statistically significant. This suggests that earlier growth in external business advice services may now have plateaued. There are some significant changes of use by source (increasing for advertising, personnel and recruitment, new technology and computer services; and decreasing for taxation and financial management advice). The paper is one of the first to assess sector patterns. Publishing, manufacturing and other business activities are the largest users of advice. Sector differences are shown to be considerable and need to be taken account in future analyses. For government advice services, the shift from a centralized and fragmented structure (Small Firms Service and Enterprise Initiative) to a decentralized and coordinated structure (Training and Enterprise Councils and Business Link) had no impact on greater market penetration except for the greater participation by the larger SMEs in use of Investors in People. Increased use of government sources has occurred, however, through enterprise agencies and regional development bodies. Further comparison of developments up to 1999 suggests a possible decline in use of advice as a whole, and a significant decline in use of Business Link. This indicates that the new bodies of the Small Business Service and the Learning and Skills Council may struggle to meet their market penetration targets
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Regulatory Focus, Ambidextrous Learning, and Opportunity Recognition in New Product Development
The Status of Innovation in Africa’s Development Strategy: Where should Science and Technology Fit in?
This chapter sets out the importance of knowledge systems in promoting economic development in African countries with special reference to innovation. Using published data from the last 20 years and a major DFID aid programme it argues that most recent investment in African technology development is still unduly biased towards formal science. What is lacking at policy level is any meaningful interaction between science and economic production on the ground. The danger is therefore a continuation of African underdevelopment with profound likely consequences for incomes and employment across the continent