Although dozens of empirical studies have been published on effectuation as a whole, much work remains to be done on elaborating each principle in more depth. Based on an exploratory study of seven ventures from the Caribbean island of Curacao, this paper develops an elaborated process model of the affordable loss heuristic in effectuation. The model breaks affordable loss into two components—ability and willingness, and connects these to the concept of loss aversion from prospect theory. Furthermore, these components are encapsulated in a process involving identity, affect, and resourcefulness leading to the entry-stage entrepreneurial investment decision.
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The aim of this report is to give an overview of current state of the art in the occurrence and policies regarding affordable age-friendly and eco-friendly solutions in the partner countries. The report consists of the findings from the literature review, the comparative analysis and the reporting of good practices. It aims for the consortium as a whole to gain an understanding of the state of the art and on affordable age and eco-friendly solutions in partner countries and particularly the home and community fields, and to present that knowledge in the form of a written report. The literature review, the analysis of barriers and facilitators, and the survey on existing or even planning good practices in the project countries, will help the partners to build and update a strong knowledge base in these fields. To be closer to the practical issues that define the adaptability of eco and age-friendly solutions in community, the consortium decided to use mostly grey literature and websites for tools and advice, such as governmental pages. Common grey literature publication types include reports (annual, research, technical, project, etc.), working papers, government documents, white papers and evaluations, which will help all partners to reach conclusions around the common field between age and eco-friendly developments. Barriers and facilitators found in each project country will be used for stipulating the right consequence of actions needed, to propose a sound methodology that could – in combination with other actions and stakeholders – promote the implementation of age and eco-friendly principles into the public and private sphere of care for older people. Finally, the selection of good representative practices by each project country can be the basis for a report, and a publication, that depicts the level of maturity and progress of the notions of age-friendliness and eco-friendliness, as well as their impact on the care of older people.
DOCUMENT
This paper seeks to contribute to sustainable business model innovation (SBMI) literature. It aims to do so by putting forward a relatively simple tool that simultaneously calculates the financial value alongside sustainability impact based on the Sustainable Development Goals (SDGs) of a proposed business model innovation. For small businesses to validate the outcome of a proposed SBMI, some form of sustainability measurement will be necessary. Simple tooling specifically aimed at small businesses do not exist. We address this gap in how to predict or create a prognosis of the combined financial and sustainability effect of a proposed business model (BM) in a frugal (easy, time and knowledge effective) and effectual (allowing for iterations, available means and calculating affordable loss) manner. The tool is called the Pos-FSBC (Positive Financial and Sustainability Business Case). The instrument is a calculation model in Excel where users insert a limited number of numerical variables. Alongside financial variables the tool uniquely links the key variable ∆ SDG to the expected quantity sold, it then calculates the contribution to the SDGs in a relevant and measurable unit. By being successful with a sustainable innovation, the tool helps businesses drive out nonsustainable competitors. The tool has been iteratively developed and tested in several students’ projects and in a pilot with practitioners. Based on the findings we propose more iterations to develop an understanding whether the tool inspires business change and if so how.
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De glastuinbouw in Nederland is wereldwijd toonaangevend en loopt voorop in automatisering en data-gedreven bedrijfsvoering. Voor de data-gedreven teelt wordt, naast het monitoren van de kas-parameters ook het monitoren van gewasparameters steeds meer gevraagd. De sector is daarbij vooral geïnteresseerd in niet-destructieve, contactloze en persoonsonafhankelijk monitoring van gewassen. Optische sensortechnologie, zoals spectrale afbeeldingstechnologie, kan veel waardevolle informatie opleveren over de staat van een gewas of vrucht, bijvoorbeeld over het suikergehalte, maar ook de aanwezigheid van plantziektes of insecten. Echter is dit vaak een te kostbare oplossing voor zowel de technologiebedrijven die oplossingen leveren als voor de telers zelf. In dit project onderzoeken wij de mogelijkheid om spectrale beeldvorming tegen lagere kosten te realiseren. Het beoogde resultaat is een prototype van een instrument dat tegen lage kosten met spectrale beeldvorming een of meerdere gewaseigenschappen kan kwantificeren. Realisatie van dit prototype heeft een sterke Fotonica-component (expertise Haagse Hogeschool) maakt gebruik van Machine Learning (expertise perClass) en is bedoeld voor toepassing op scout robots in de glastuinbouw (expertise Mythronics). Een betaalbare oplossing betekent in potentie voor de teler een betere controle over kwaliteit van het gewas en automatisering voor detectie van ziekte-uitbraken. Bij een succesvol prototype kan deze innovatie leiden tot betere voedselkwaliteit en minder verspilling in de glastuinbouw.
The admission of patients to intensive care units (ICU) is sometimes planned after a large operation. However, most admissions are acute, because of life-threatening infections or trauma as a result of accidents. Their stay can last from a couple of days to a couple of weeks. ICU patients are often in pain, in fragile health condition, and connected to various devices such as a ventilator, intravenous drip, and monitoring equipment. The resulting lack of mobilization, makes patients lose 1-3% of muscle power for each day they are in the ICU. Within 2 weeks, patients can lose up to 50% of their muscle mass. Early mobilization of ICU patients reduces their time on a respirator and their hospital length of stay. Because of this, ICUs have started early mobilization physical therapy. However, there is a lack of solutions for patients that properly handle fear of movement, are sufficiently personalized to the possibilities and needs of the individual and motivate recurring use in this context. Meanwhile, various technological advances enable new solutions that might bring benefits for this specific use case. Hospitals are experimenting with screens and projections on walls and ceilings to improve their patients’ stay. Standalone virtual reality and mixed reality headsets have become affordable, available and easy to use. In this project, we want to investigate: How can XR-technologies help long-stay ICU patients with early mobilization, with specific attention to the issues of fear of movement, personalization to the individual’s possibilities, needs and compliance over multiple sessions? The research will be carried out in co-creation with the target group and will consist of a state-of-the-art literature review and an explorative study.
