Do workplace flexibilities influence employment stability? An analysis of alternative work schedules, turnover intent and gender in local government

PurposeThe purpose of this paper is to explore the relationship between the determinants of public employee turnover intent and the use of workplace flexibilities, with particular attention on the role that gender plays on the relationship between these two constructs.Design/methodology/approachUsing a cross-sectional quantitative research design, the data collection specifically targeted employees of US municipalities that had a significant portion of their workforce using some type of alternative work schedule. Nine cities from six different states were included in the data collection.FindingsIn support of prior research and conventional wisdom, the authors find that the use of alternative work schedules is associated with lower expressions of turnover intent, but this relationship is only significant for female municipal employees.Research limitations/implicationsOne limitation of the study is that it is mono-source data. A second limitation relates to the lack of controls for contextual and occupational characteristics. Further research is needed on the relationship between alternative work schedule choice and turnover, particularly exploring how other characteristics might impact the relationship between employment flexibilities and turnover.Practical implicationsOverall, the results of the analysis align with broader observations of the need for increasing workplace flexibilities and scholarship exploring these flexibilities, especially for female employees who are attempting to integrate their work and family responsibilities.Originality/valueThere has been relatively little research exploring the relationship between the determinants of turnover intent and the use of workplace flexibilities at the municipal level of government. This is particularly important given that employment in local government is larger than both federal and state government employment combined in the USA (US Census Bureau, 2017).