JOURNAL ARTICLE

Functional Background Diversity of Top Management Team and Managerial Forecasting Capability.

  • Published In: Journal of Management Accounting Research, 2024, v. 36, n. 3. P. 21 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Liu, Bo; Zhang, Dana 3 of 3

Abstract

This study examines whether top management team (TMT) functional background diversity affects managerial forecasting capability. We find that TMTs with more diverse functional backgrounds issue more accurate earnings forecasts. Additional tests reveal that the negative association between TMT functional background diversity and management forecast errors becomes weaker when TMTs work together for a long time, when subgroups are more likely to develop within the team, when CEOs are more powerful, and when team size is larger. By contrast, the reduction in management forecast errors is more significant for functionally diverse TMTs when forecasting difficulty is higher. These findings suggest that TMT functional background diversity plays an important role in managerial forecasting capability. Data Availability: Data are available from the sources cited in the text. JEL Classifications: M14; M41. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Management Accounting Research. 2024/09, Vol. 36, Issue 3, p21
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2024
  • ISSN:1049-2127
  • DOI:10.2308/JMAR-2022-063
  • Accession Number:180624512
  • Copyright Statement:Copyright of Journal of Management Accounting Research is the property of American Accounting Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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