Board Age and Gender Diversity: A Test of Competing Linear and Curvilinear Predictions

By Muhammad Ishtiaq Ali, Yin Lu Ng. 2014

239 citations recorded by the source corpus.

The inconsistent findings of past board diversity research demand a test of competing linear and curvilinear diversity–performance predictions. This research focuses on board age and gender diversity, and presents a positive linear prediction based on resource dependence theory, a negative linear prediction based on social identity theory, and an inverted U-shaped curvilinear prediction based on the integration of resource dependence theory with social identity theory. The predictions were tested using archival data on 288 large organizations listed on the Australian Securities Exchange, with a 1-year time lag between diversity (age and gender) and performance (employee productivity and return on assets). The results indicate a positive linear relationship between gender diversity and employee productivity, a negative linear relationship between age diversity and return on assets, and an inverted U-shaped curvilinear relationship between age diversity and return on assets. The findings provide additional evidence on the business case for board gender diversity and refine the business case for board age diversity.

Subfields: Accounting, Gender Studies, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/81d2053cfbe8b70cbdd482c164d629a2aeb0c562

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In Accounting

  1. Zam Zuriyati Mohamad
  2. P. McIlkenny
  3. Nooraisah Katmon
  4. O. Farooque
  5. Millicent Chang
  6. Moataz El-Helaly
  7. W. Ben‐Amar
  8. Oleksandr Talavera

In Gender Studies

  1. O. Farooque
  2. Zam Zuriyati Mohamad
  3. P. McIlkenny
  4. Nooraisah Katmon
  5. Millicent Chang
  6. Moataz El-Helaly
  7. W. Ben‐Amar
  8. Oleksandr Talavera

In Organizational Behavior and Human Resource Management

  1. Zam Zuriyati Mohamad
  2. P. McIlkenny
  3. Nooraisah Katmon
  4. O. Farooque
  5. Millicent Chang
  6. Moataz El-Helaly
  7. W. Ben‐Amar
  8. Oleksandr Talavera

Citations in the corpus