In dit rapport wordt de governance van Nationale parken besproken. Daarna wordt uitleg gegeven over de governance scan en hoe deze toegepast kan worden bij Nationale parken.
DOCUMENT
This book fills an important gap in the sport governance literature by engaging in critical reflection on the concept of ‘good governance’. It examines the theoretical perspectives that lead to different conceptualisations of governance and, therefore, to different standards for institutional quality. It explores the different practical strategies that have been employed to achieve the implementation of good governance principles. The first part of the book aims to shed light on the complexity and nuances of good governance by examining theoretical perspectives including leadership, value, feminism, culture and systems. The second part of the book has a practical focus, concentrating on reform strategies, from compliance policies and codes of ethics to external reporting and integrity systems. Together, these studies shed important new light on how we define and understand governance, and on the limits and capabilities of different methods for inducing good governance. With higher ethical standards demanded in sport business and management than ever before, this book is important reading for all advanced students and researchers with an interest in sport governance and sport policy, and for all sport industry professionals looking to improve their professional practice.
DOCUMENT
Proper decision-making is one of the most important capabilities of an organization. Therefore, it is important to have a clear understanding and overview of the decisions an organization makes. A means to understanding and modeling decisions is the Decision Model and Notation (DMN) standard published by the Object Management Group in 2015. In this standard, it is possible to design and specify how a decision should be taken. However, DMN lacks elements to specify the actors that fulfil different roles in the decision-making process as well as not taking into account the autonomy of machines. In this paper, we re-address and-present our earlier work [1] that focuses on the construction of a framework that takes into account different roles in the decision-making process, and also includes the extent of the autonomy when machines are involved in the decision-making processes. Yet, we extended our previous research with more detailed discussion of the related literature, running cases, and results, which provides a grounded basis from which further research on the governance of (semi) automated decision-making can be conducted. The contributions of this paper are twofold; 1) a framework that combines both autonomy and separation of concerns aspects for decision-making in practice while 2) the proposed theory forms a grounded argument to enrich the current DMN standard.
DOCUMENT
Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
The denim industry faces many complex sustainability challenges and has been especially criticized for its polluting and hazardous production practices. Reducing resource use of water, chemicals and energy and changing denim production practices calls for collaboration between various stakeholders, including competing denim brands. There is great benefit in combining denim brands’ resources and knowledge so that commonly defined standards and benchmarks are developed and realized on a scale that matters. Collaboration however, and especially between competitors, is highly complex and prone to fail. This project brings leading denim brands together to collectively take initial steps towards improving the ecological sustainability impact of denim production, particularly by establishing measurements, benchmarks and standards for resource use (e.g. chemicals, water, energy) and creating best practices for effective collaboration. The central research question of our project is: How do denim brands effectively collaborate together to create common, industry standards on resource use and benchmarks for improved ecological sustainability in denim production? To answer this question, we will use a mixed-method, action research approach. The project’s research setting is the Amsterdam Metropolitan Area (MRA), which has a strong denim cluster and is home to many international denim brands and start-ups.
Dit onderzoek richt zich op de relatie tussen ‘collaborative foresight’, ‘anticipatory governance’ en stakeholderprocessen. Dit binnen de context van Sociaal Ecologische Systemen (SES) en met name Nationaal Park Alde Feanen, dat zich wil (door)ontwikkelen tot een zgn. 'Nationaal Park Nieuwe Stijl' in lijn met het recente nationale beleidsprogramma 'Nationale Parken 2024-2030'. Het overkoepelende doel van deze PD is: te identificeren hoe gezamenlijke foresight-praktijken effectief moeten worden ingericht en opgevolgd, zodat hiermee de governance van natuurtoeristische bestemmingen, zoals het Nationaal Park Alde Feanen, wordt versterkt. Hierbij rekening houdend met complexe multi-stakeholder processen waarin dit plaatsvindt. Deze PD sluit aan bij een aantal grote transitie vraagstukken waar landelijke gebieden in Nederland mee te maken hebben rondom natuur, water, landbouw, energie, wonen en het evenwichtig gebruik van schaars beschikbare ruimte. De opgaven vragen om een integrale en gezamenlijke aanpak naar de toekomst. Het Leisure, Tourism en Hospitality (LTH) domein kan hierin een sleutelrol spelen als overkoepelende drager voor ruimtelijke transities, zo ook binnen het ‘Nationaal Park Alde Feanen Nieuwe Stijl’. Door middel van een kwalitatieve onderzoeksaanpak zal deze PD de voorwaarden, belemmeringen en kansen identificeren om toekomstvisies om te zetten in collectieve actie richting de toekomst van het Nationaal Park. Ook wil deze PD een prototype ontwerp ontwikkelen voor een zgn. 'Anticipatory Futures Stakeholder Lab'. Een soort ‘infrastructuur’ gericht op continue en gezamenlijke anticiperende activiteiten, om opvolging en invulling te geven aan de trajecten naar de toekomst. De onderzoeksuitkomsten kunnen actoren in het LTH-domein ondersteunen in deze transitieprocessen, specifiek in het (omliggende) Alde Feanen gebied. Het sluit aan bij hun ambities om als voorbeeld te dienen voor andere Nederlandse nationale parken. Theoretisch wil het onderzoek bijdragen aan innovatie van bestaande foresight methoden en aan het huidige academische discours over hoe ‘Foresight’ en ‘Anticipation’ samenhangen met 'Good Governance' van sociaal-ecologische systemen.
Lectoraat, onderdeel van HAS green academy
