Utrecht University

About: Utrecht University is a education organization based out in Utrecht, Utrecht, Netherlands. It is known for research contribution in the topics: Population & Context (language use). The organization has 58176 authors who have published 139351 publications receiving 6214282 citations. The organization is also known as: UU & Universiteit Utrecht.

Positive organizational behavior: Engaged employees in flourishing organizations

Abstract: Summary ThiseditorialintroducesaspecialissueoftheJournalof OrganizationalBehavioronpositive organizationalbehavior(POB). POB emphasizes the need for more focused theory building, research, and effective application of positive traits, states, and behaviors of employees in organizations. We argue that in order to make a substantive contribution to organizational science, POB will need to show the added value of the positive over and above the negative. In addition, the emerging concept of employee engagement is briefly introduced. The papers in the special issue describe exciting positive organizational behavior studies that each tap into an interesting direction in which POB research might go. Copyright# 2008 John Wiley & Sons, Ltd.

Landslide hazard and risk zonation—why is it still so difficult?

Abstract: The quantification of risk has gained importance in many disciplines, including landslide studies. The literature on landslide risk assessment illustrates the developments which have taken place in the last decade and that quantitative risk assessment is feasible for geotechnical engineering on a site investigation scale and the evaluation of linear features (e.g., pipelines, roads). However, the generation of quantitative risk zonation maps for regulatory and development planning by local authorities still seems a step too far, especially at medium scales (1:10,000–1:50,000). This paper reviews the problem of attempting to quantify landslide risk over larger areas, discussing a number of difficulties related to the generation of landslide inventory maps including information on date, type and volume of the landslide, the determination of its spatial and temporal probability, the modelling of runout and the assessment of landslide vulnerability. An overview of recent developments in the different approaches to landslide hazard and risk zonation at medium scales is given. The paper concludes with a number of new advances and challenges for the future, such as the use of very detailed topographic data, the generation of event-based landslide inventory maps, the use of these maps in spatial-temporal probabilistic modelling and the use of land use and climatic change scenarios in deterministic modelling.