skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

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

PloS one, 2024-01, Vol.19 (1), p.e0296667-e0296667 [Peer Reviewed Journal]

Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. ;COPYRIGHT 2024 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0296667 ;PMID: 38215177

Full text available

Citations Cited by
  • Title:
    Testing biasedness of self-reported microbusiness innovation in the annual business survey
  • Author: Han, Luyi ; Tian, Zheng ; Wojan, Timothy R ; Goetz, Stephan J
  • Fiaschetti, Maurizio
  • Subjects: Analysis ; Business ; Business enterprises ; Commerce ; Humans ; Innovations ; Prejudices ; Reproducibility of Results ; Self Report ; Small Business ; Surveys ; Surveys and Questionnaires ; United States
  • Is Part Of: PloS one, 2024-01, Vol.19 (1), p.e0296667-e0296667
  • Description: 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.
  • Publisher: United States: Public Library of Science
  • Language: English
  • Identifier: ISSN: 1932-6203
    EISSN: 1932-6203
    DOI: 10.1371/journal.pone.0296667
    PMID: 38215177
  • Source: GFMER Free Medical Journals
    MEDLINE
    PubMed Central
    Public Library of Science (PLoS)
    ProQuest Central
    DOAJ Directory of Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait