Taking a process-based motivation lens to public service motivation : the role of human values and self-sacrifice

Public Service Motivation (PSM) has increased in popularity over the last few decades. However, questions about PSM conceptualisation, its association with well-being outcomes, and assumptions regarding fit still remain. This thesis therefore fills gaps in our knowledge regarding PSM by directly addressing questions. In the first empirical chapter I empirically support the conceptualisation of PSM as a form of motivation by placing PSM in-between its value antecedents and behavioural outcomes. Results showcase PSM as a conceptual bridge linking pro-social values to pro-social behaviours orientated towards societal good. In the second chapter I explore the relationship between self-sacrifice, through which PSM motives are realised, and both positive and negative well-being outcomes viewed through a resource and pro-social value fulfilment theoretical lens. The results indicate that self-sacrifice is associated with the expenditure of resources and the fulfilment of pro-social values and also that the fulfilment of pro-social values were not found to increase positive well-being experiences however low fulfilment these values increased experiences of negative well-being. This finding highlights the importance of the influence pro-social value fulfilment has on an individual’s well-being outcomes. In the final empirical chapter of this thesis I investigate how the congruence between an individual and their job characteristics helps to explain the relationship between PSM and organisational loyalty and quitting intentions. My findings indicate that person-job fit helps explain the relationship between PSM and organisational loyalty and quitting intentions. These findings highlight the beneficial outcomes associated with having highly pro-social individuals perform work that is personally meaningful to them. Overall this thesis contributes to the current wave of PSM research dedicated to addressing gaps in out PSM knowledge