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Predicting Technology Success: Identifying Key Predictors and Assessing Expert Evaluation for Advanced Technologies

机译:预测技术成功:识别关键预测因素并评估先进技术的专家评估

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摘要

This study investigates a set of precursor factors that appear related to future technology success, and whether or not expert evaluators can a priori provide useful information during the technology review process. Sixty-nine highly advanced post 9–11 technologies are tracked over time. Based upon the results of this study, we conclude that a reasonably good predictive model can be constructed from organizational and technology factors, such as firm size, stage of development, and strategic partnerships. The results also indicate that the incremental value of expert reviewers and technology evaluators to predict future technology success is relatively small. Reviewers that provided the greatest predicative power, however, had current scientific responsibilities. These results raise important issues regarding the capability of developing predictive models of technology success. Copyright Springer Science+Business Media, LLC 2006
机译:这项研究调查了与未来技术成功相关的一系列先驱因素,以及专家评估者是否可以在技术评审过程中事先提供有用的信息。随着时间的推移,跟踪了69项9-11之后的高度先进技术。根据这项研究的结果,我们得出结论,可以从组织和技术因素(例如公司规模,发展阶段和战略伙伴关系)构建合理的预测模型。结果还表明,专家审稿人和技术评估人员预测未来技术成功的增量价值相对较小。然而,提供最大判断力的审稿人目前承担着科学责任。这些结果提出了有关开发技术成功的预测模型的能力的重要问题。版权所有Springer Science + Business Media,LLC 2006

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