Employee diversity and innovation performance among agricultural businesses: evidence from South Africa

This study investigates the relationship between employee diversity and innovation performance within agricultural businesses. Using data from the South African Agricultural Business Innovation Survey (AgriBIS) 2019-2021, this study applies the Blau index to measure diversity and uses binary logit models to assess how these diversity dimensions influence product and process innovation, as well as intellectual property (IP) outcomes. The study found that gender diversity was significantly and positively associated with all three dimensions of innovation as measured by the dependent variables (product innovation, process innovation, and IP). Racial diversity was weakly but positively associated with product innovation but showed no significant effects on process innovations or intellectual property, while age diversity was found to be insignificant across all innovation outcomes. The findings suggest policymakers should develop instruments that promote gender diversity, while business leaders are encouraged to incorporate gender diversity into their innovation strategies to enhance agricultural innovation.

Authors

Publication Details

Journal
Human Science Research Council SA
Published
2026-05-22
DOI
https://doi.org/10.14749/32360169
Primary Topic
Gender Diversity and Inequality
Type
article
Field-Weighted Citation Impact
0.00
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article

Employee diversity and innovation performance among agricultural businesses: evidence from South Africa

Human Sciences Research Council
Human Science Research Council SA
Gender Diversity and Inequality
article

Employee diversity and innovation performance among agricultural businesses: evidence from South Africa

Human Sciences Research Council
article en

Abstract

This study investigates the relationship between employee diversity and innovation performance within agricultural businesses. Using data from the South African Agricultural Business Innovation Survey (AgriBIS) 2019-2021, this study applies the Blau index to measure diversity and uses binary logit models to assess how these diversity dimensions influence product and process innovation, as well as intellectual property (IP) outcomes. The study found that gender diversity was significantly and positively associated with all three dimensions of innovation as measured by the dependent variables (product innovation, process innovation, and IP). Racial diversity was weakly but positively associated with product innovation but showed no significant effects on process innovations or intellectual property, while age diversity was found to be insignificant across all innovation outcomes. The findings suggest policymakers should develop instruments that promote gender diversity, while business leaders are encouraged to incorporate gender diversity into their innovation strategies to enhance agricultural innovation.

Human Science Research Council SA
Openalex Percentile: Top 3%
Gender Diversity and Inequality
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