Temporal and social distances of the estimated duration of R&D projects in the biopharma industry

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-08-28 DOI:10.1016/j.techfore.2024.123676
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Abstract

Biopharmaceutical firms' opportunities depend on the accurate estimation of highly acclaimed clinical trial projects duration. To understand how forecasts of the duration differ from the actual duration, this study uses Construal Level Theory (CLT), which places the future estimates on the different levels of distance in estimation errors. This article explores (a) whether the estimated project duration is indeed longer than the actual duration of the project, and (b) how it differs when considering foreign versus domestic projects. A dataset of 24,953 technology projects in two locations make two discoveries. First, the actual duration of completed projects (past) is likely to be 0.26 times longer than the estimated duration of future projects, implying that project sponsors tend to underestimate the project duration. Second, the foreign versus domestic projects likely to be 0.26 times longer than the domestic sponsors projects. Third, foreign and past project further increases the duration by 0.40 times compared to the domestic and past project. The study resolves the duration issue, contributes to the CLT framework by supporting the psychic distance principle and construal levels. It reveals potential errors in the estimation of the unknown future based on the known past.

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生物制药行业研发项目估计持续时间的时空距离和社会距离
生物制药公司的机遇取决于对备受赞誉的临床试验项目持续时间的准确估计。为了解对工期的预测与实际工期有何不同,本研究采用了构想水平理论(CLT),该理论将未来估计置于估计误差的不同距离水平上。本文探讨了(a)估计的项目工期是否确实长于项目的实际工期,以及(b)在考虑国外项目和国内项目时,估计的工期有何不同。两地 24953 个科技项目的数据集有两个发现。首先,已完成项目(过去)的实际持续时间可能是未来项目估计持续时间的 0.26 倍,这意味着项目发起人倾向于低估项目持续时间。其次,国外项目与国内项目相比,国外项目可能比国内项目长 0.26 倍。第三,与国内项目和过去项目相比,国外项目和过去项目的工期进一步增加了 0.40 倍。本研究解决了工期问题,并通过支持心理距离原则和构思水平,为 CLT 框架做出了贡献。它揭示了根据已知过去估计未知未来的潜在误差。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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