Abstract
Due to the authoritarian administrative style, used by educational institutions, where those in charge make decisions and middle and lower-level employees simply carry out orders without providing any input, participatory decision-making has gained popularity in the educational setting. Nevertheless, higher education institutions are at a crossroads since they are unsure how to handle the problems, posed by a highly dynamic environment, and the rapid changes that are occurring. Thus, academic staff has been required to take on extracurricular duties to enhance institutions to those that are formally outlined in their job descriptions. In this context, developing OCB and ensuring its sustainability has become increasingly crucial for boosting universities' effectiveness. Based on the social exchange theory, this study aims to assess how participative decision-making can constitute a key idea in modern management that impacts employees’ organisational citizenship behaviours in two campuses of a public higher education institution in South Africa. Data was collected from a post-positivist perspective, a quantitative research method, and a convenience sampling technique to select a sample of 253 academics, through a structured questionnaire. Based on the results of the descriptive analysis, employees reported a medium level of participative decision-making and agreed to display the five organisational citizenship behaviours. Using Pearson correlation and multiple linear regression models, the study found a positive relationship between participative decision-making and the five dimensions of organisational citizenship behaviour. Therefore, the study recommends that employees should be more involved in the decision-making for them to display organisational citizenship behaviour. However, public higher education institutions should establish a strong data-driven culture and train staff members to be proficient in code and quantitative concepts; and senior management has to develop rules with open access to the most important metrics.