Suppr超能文献

测试年度商业调查中自我报告的微型企业创新的偏向性。

Testing biasedness of self-reported microbusiness innovation in the annual business survey.

机构信息

Northeast Regional Center for Rural Development, Penn State University, State College, Pennsylvania, United States of America.

Oak Ridge Institute for Science and Education Research Ambassadors Program, National Center for Science and Engineering Statistics, National Science Foundation, Oak Ridge, Tennessee, United States of America.

出版信息

PLoS One. 2024 Jan 12;19(1):e0296667. doi: 10.1371/journal.pone.0296667. eCollection 2024.

Abstract

This study tests for potential bias in self-reported innovation due to the inclusion of a research and development (R&D) module that only microbusinesses (less than 10 employees) receive in the Annual Business Survey (ABS). Previous research found that respondents to combined innovation/R&D surveys reported innovation at lower rates than respondents to innovation-only surveys. A regression discontinuity design is used to test whether microbusinesses, which constitute a significant portion of U.S. firms with employees, are less likely to report innovation compared to other small businesses. In the vicinity of the 10-employee threshold, the study does not detect statistically significant biases for new-to-market and new-to-business product innovation. Statistical power analysis confirms the nonexistence of biases with a high power. Comparing the survey design of ABS to earlier combined innovation/R&D surveys provides valuable insights for the proposed integration of multiple Federal surveys into a single enterprise platform survey. The findings also have important implications for the accuracy and reliability of innovation data used as an input to policymaking and business development strategies in the United States.

摘要

本研究旨在检验由于在年度商业调查(ABS)中仅为员工人数少于 10 人的小微企业(microbusinesses)纳入研发(R&D)模块,而导致自我报告的创新存在潜在偏差的情况。先前的研究发现,参与创新/R&D 综合调查的受访者报告的创新率低于仅参与创新调查的受访者。本研究采用回归不连续性设计来检验小微企业(构成美国员工人数众多的企业的重要组成部分)是否比其他小企业更不可能报告创新。在接近 10 名员工的门槛时,研究并未发现新市场和新业务产品创新方面存在统计学上显著的偏差。统计功效分析证实不存在高功效的偏差。将 ABS 的调查设计与早期的创新/R&D 综合调查进行比较,为将多个联邦调查整合到一个单一的企业平台调查中提供了有价值的见解。这些发现对于创新数据的准确性和可靠性也具有重要意义,因为这些数据是美国制定政策和商业发展战略的输入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc0a/10786406/637a981988cf/pone.0296667.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验