In the present paper, we offer an integrative approach to personality that combines withinperson and between-person differences. By drawing on the principles of dynamic systems theory, we present Personality Dynamics model -a novel framework that captures people's typical pattern of changes in personality states using three model parameters: baseline personality, reflecting the stable set point around which one's states fluctuate, personality variability, or the extent to which one's personality states fluctuate across time and situations, and personality attractor force, pertaining to the swiftness with which deviations of one's baseline are pulled back to the baseline. We argue that the dynamic approach to personality represented in the PersDyn model has the potential to integrate different perspectives on individual differences. We also demonstrate that the dynamic approach to personality offers a consensual paradigm of personality with the potential to advance our understanding and knowledge of individual differences, by detailing the factors and processes included in the model, as well as links to existing theories and applications in various research lines. Personality as a dynamic systemThe dynamic character of personality has been acknowledged in research for a very long time already. Even in early writings on the topic (e.g., Allport, 1937), it was emphasized that personality is a dynamic, psychological organization that coordinates our experiences and actions. Yet, despite this awareness, personality research has focused almost exclusively on the study of stable, between-person differences in broad dispositions that are invariant over time and unaffected by situational influences. Such an approach, although undoubtfully useful, strips personality from its dynamic character. In the present paper, we argue that the

This manifesto presents 10 recommendations for a sustainable future for the field of Work and Organizational Psychology. The manifesto is the result of an emerging movement around the Future of WOP (see www. futureofwop.com), which aims to bring together WOP-scholars committed to actively contribute to building a better future for our field. Our recommendations are intended to support both individuals and collectives to become actively engaged in co-creating the future of WOP together with us. Therefore, this manifesto is open and never "finished." It should continuously evolve, based on an ongoing debate around our professional values and behavior. This manifesto is meant, first of all, for ourselves as an academic community. Furthermore, it is also important for managers, decision makers, and other stakeholders and interested parties, such as students, governments and organizations, as we envision what the future of WOP could look like, and it is only through our collective efforts that we will be able to realize a sustainable future for all of us.

We build on a novel model of personality [PersDyn] that captures three sources of individual differences (here applied to neuroticism): (1) one’s baseline level of behavior, affect, and cognitions (baseline); (2) the extent to which people experience different neuroticism levels (variability); and (3) the swiftness with which they return to their neuroticism baseline once they deviated from it (attractor strength). To illustrate the model, we apply the PersDyn model to the study of the relationship between neuroticism and emotional exhaustion. In the first study, we conducted a 5-day experience sampling study on 89 employees who reported on their level of state neuroticism six times per day. We found that higher levels of baseline neuroticism and variability were related to increased emotional exhaustion. Furthermore, we found an interaction effect between baseline and attractor strength: people with a high baseline and high attractor strength tend to experience a high degree of emotional exhaustion, whereas people with low levels of baseline neuroticism are less likely to suffer from exhaustion if their attractor strength is high. In the second study, we conducted a laboratory experiment on 163 participants, in which we manipulated state neuroticism via short movie clips. Although the PersDyn parameters were not related to post-experiment emotional exhaustion, the interaction effect between baseline and attractor strength was replicated. It is concluded that a dynamic approach to neuroticism is important in understanding emotional exhaustion.

In this paper, we demonstrate how an integrative approach to personality-one that combines withinperson and between-person differences-can be achieved by drawing on the principles of dynamic systems theory. The dynamic systems perspective has the potential to reconcile both the stable and dynamic aspect of personality, it allows including different levels of analysis (i.e. traits and states), and it can account for regulatory mechanisms, as well as dynamic interactions between the elements of the system, and changes over time. While all of these features are obviously appealing, implementing a dynamic systems approach to personality is challenging. It requires new conceptual models, specific longitudinal research designs, and complex data analytical methods. In response to these issues, the first part of our paper discusses the Personality Dynamics model, a model that integrates the dynamic systems principles in a relatively straightforward way. Second, we review associated methodological and statistical tools that allow empirically testing the PersDyn model. Finally, the model and associated methodological and statistical tools are illustrated using an experience sampling methodology data set measuring Big Five personality states in 59 participants (N = 1916 repeated measurements).