Good and bad days at work: A descriptive review of day‐level and experience‐sampling studies

Abstract

SummaryWorkdays are the main temporal building blocks of people's experiences at work, and many factors potentially contribute to having a good versus a bad day at work. Still, empirical findings on these ingredients are scattered and a bigger picture is missing. This article reviews day‐level and experience‐sampling studies (k = 382 studies) to describe what makes for a good versus bad day at work. We derive outcome criteria for good versus bad days from the circumplex model of effect and identify specific pre‐work factors (sleep, pre‐work events, and pre‐work experiences) and at‐work factors (situational conditions, states and experiences, behaviors, results of one's actions, and work breaks) as their core ingredients. We highlight temporal trends in this rapidly growing research area and critically assess the current state of the literature with respect to theoretical and methodological issues. We link empirical findings that have emerged from our literature review to a homeostatic human sustainability perspective, offer directions for future research, and discuss the practical implementation of research findings.