During the past two decades the implementation and adoption of information technology has rapidly increased. As a consequence the way businesses operate has changed dramatically. For example, the amount of data has grown exponentially. Companies are looking for ways to use this data to add value to their business. This has implications for the manner in which (financial) governance needs to be organized. The main purpose of this study is to obtain insight in the changing role of controllers in order to add value to the business by means of data analytics. To answer the research question a literature study was performed to establish a theoretical foundation concerning data analytics and its potential use. Second, nineteen interviews were conducted with controllers, data scientists and academics in the financial domain. Thirdly, a focus group with experts was organized in which additional data were gathered. Based on the literature study and the participants responses it is clear that the challenge of the data explosion consist of converting data into information, knowledge and meaningful insights to support decision-making processes. Performing data analyses enables the controller to support rational decision making to complement the intuitive decision making by (senior) management. In this way, the controller has the opportunity to be in the lead of the information provision within an organization. However, controllers need to have more advanced data science and statistic competences to be able to provide management with effective analysis. Specifically, we found that an important skill regarding statistics is the visualization and communication of statistical analysis. This is needed for controllers in order to grow in their role as business partner..
Urban construction logistics has a big impact on cities. The topic of this paper is governance strategies for realising more sustainable urban construction logistics. Although not much research has been done in the field of governance of construction logistics, several authors have stressed the fragmented nature of the construction industry and the importance of collaboration in urban construction logistics as issues. A literature review was done to identify the barriers in collaboration. Based on these barriers the research objective was to determine which drivers for collaborative governance are needed to improve urban construction logistics. The methods for data collection were semi-structured interviews and a focus group. The collaborative governance model is applied as a strategy to overcome the barriers in collaboration and governance identified. Key findings are both formal and informal barriers hinder the governance of construction logistics. Based on a collaborative governance model we identified four for improving collaborative governance.
Understanding the decision-making process of a boardroom is one of the most fascinating parts of organizational research. We are all interested in power games, team dynamics and how the external environment could influence the decision of directors. One of the important buzzwords of today is “good governance” and many boards face a lot of societal pressure to implement best practices of governance. It goes beyond regulatory requirements and boards need to take a different perspective on integrating governance codes and best practices in their organizations. In this study, we focused on the role of individual directors in developing organizational responses to that pressure. More specifically, we looked at how directors’ own cognitive frames of governance influence the way boards choose best practices.
MULTIFILE
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.
Nederland wil in 2050 circulair zijn. Dat vraagt een ongekende transitie in de wijze waarop onze samenleving onderneemt, samenwerkt, denkt en doet. Stedelijke regio’s zijn de geijkte plek om een transitie naar een circulaire economie in gang te zetten door hun dichte concentratie van kennis, kapitaal, data en resources op een relatief klein oppervlak. De baten die deze transitie oplevert zullen vooral in deze regio’s merkbaar zijn: minder verspilling, luchtvervuiling en CO2-uitstoot, meer economische waarde en sociale impact. CIRCOLLAB richt zich op het versterken van interdisciplinair praktijkgericht onderzoek voor de circulaire transitie in de metropoolregio Amsterdam (MRA). De SPRONG-groep bestaat uit lectoraten van de Centres of Expertise Urban Technology en Urban Governance & Social Innovation en de Faculteit Digitale Media en Creatieve Industrie van de Hogeschool van Amsterdam, Kenniscentrum Maatschappelijke Innovatie Flevoland van Hogeschool Windesheim en de Academie van Bouwkunst van de Amsterdamse Hogeschool voor de Kunsten. De SPRONG-groep combineert expertise vanuit het technologische, creatieve, economische en sociale domein en verricht praktijkgericht onderzoek naar ‘circulair denken en doen’, ‘circulair ondernemen’, ‘circulair menselijk kapitaal’ en ‘circulair samenwerken’ in relatie tot technische innovaties in twee waardeketens: de gebouwde omgeving en consumptiegoederen. De SPRONG-groep ontwikkelt, samen met actoren in de quadruple helix, een regionale infrastructuur voor inventariseren en prioriteren van onderzoeksbehoeften en het programmeren, opbouwen en uitwisselen van kennis. Hierbij worden kennis en ervaringen uit circulaire initiatieven, experimenten, onderzoek en onderwijs aan elkaar en aan fysieke experimenteerruimtes verbonden, om gezamenlijk van te leren, kennis te delen en op te schalen. Zo ontstaat een krachtige interdisciplinaire SPRONGgroep met de ambitie om het consortium uit te laten groeien tot dé regionale spil op het gebied van de circulaire transitie in grootstedelijke regio’s en een erkende (inter)nationale speler voor kennisuitwisseling en -opbouw op dit onderwerp.
Collaborative networks for sustainability are emerging rapidly to address urgent societal challenges. By bringing together organizations with different knowledge bases, resources and capabilities, collaborative networks enhance information exchange, knowledge sharing and learning opportunities to address these complex problems that cannot be solved by organizations individually. Nowhere is this more apparent than in the apparel sector, where examples of collaborative networks for sustainability are plenty, for example Sustainable Apparel Coalition, Zero Discharge Hazardous Chemicals, and the Fair Wear Foundation. Companies like C&A and H&M but also smaller players join these networks to take their social responsibility. Collaborative networks are unlike traditional forms of organizations; they are loosely structured collectives of different, often competing organizations, with dynamic membership and usually lack legal status. However, they do not emerge or organize on their own; they need network orchestrators who manage the network in terms of activities and participants. But network orchestrators face many challenges. They have to balance the interests of diverse companies and deal with tensions that often arise between them, like sharing their innovative knowledge. Orchestrators also have to “sell” the value of the network to potential new participants, who make decisions about which networks to join based on the benefits they expect to get from participating. Network orchestrators often do not know the best way to maintain engagement, commitment and enthusiasm or how to ensure knowledge and resource sharing, especially when competitors are involved. Furthermore, collaborative networks receive funding from grants or subsidies, creating financial uncertainty about its continuity. Raising financing from the private sector is difficult and network orchestrators compete more and more for resources. When networks dissolve or dysfunction (due to a lack of value creation and capture for participants, a lack of financing or a non-functioning business model), the collective value that has been created and accrued over time may be lost. This is problematic given that industrial transformations towards sustainability take many years and durable organizational forms are required to ensure ongoing support for this change. Network orchestration is a new profession. There are no guidelines, handbooks or good practices for how to perform this role, nor is there professional education or a professional association that represents network orchestrators. This is urgently needed as network orchestrators struggle with their role in governing networks so that they create and capture value for participants and ultimately ensure better network performance and survival. This project aims to foster the professionalization of the network orchestrator role by: (a) generating knowledge, developing and testing collaborative network governance models, facilitation tools and collaborative business modeling tools to enable network orchestrators to improve the performance of collaborative networks in terms of collective value creation (network level) and private value capture (network participant level) (b) organizing platform activities for network orchestrators to exchange ideas, best practices and learn from each other, thereby facilitating the formation of a professional identity, standards and community of network orchestrators.
