Given the increasing importance of sustainability as a part of one’s daily routine and life in countries in the European Union, there is a need to establish a basic understanding of the attitudes, behaviours and culture among older people. This, in turn, should lead to better policies which help alleviate the effects of the current cost-of-living and energy crises and make our societies more sustainable and resilient. Despite the growing awareness of sustainability amongst the general public, a conceptual model of a sustainable lifestyle among older people is missing. The existing reports from the WHOprovide some guidance on how to move along, as they touch upon items that are related to sustainability such as walkability, proximity to transportation stops and emergency preparedness, and highlight the need to improve the fit between people’s needs and the environments in which they live. Any effort to come up with such a conceptual model would have to acknowledge that energy conservation and sustainable behaviours among our older population, as was shown by Bennetts et al., are not an integral part of all older people’s lifestyles and day-to-day choices. Also, following Dikken et al.,many seemingly sustainable choices may be made purely out of financial necessity. New models and policies would have to acknowledge that in times of declining purchase power, the majority of older people living on the edge make sacrifices in terms of energy use in the broadest sense of the word due to financial constraints and not out of concern for the environment.
MULTIFILE
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.
MULTIFILE
Whitepaper: The use of AI is on the rise in the financial sector. Utilizing machine learning algorithms to make decisions and predictions based on the available data can be highly valuable. AI offers benefits to both financial service providers and its customers by improving service and reducing costs. Examples of AI use cases in the financial sector are: identity verification in client onboarding, transaction data analysis, fraud detection in claims management, anti-money laundering monitoring, price differentiation in car insurance, automated analysis of legal documents, and the processing of loan applications.
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The overarching aim of the project is to contribute to the development of a sustainable, inclusive and just EU leisure, tourism and hospitality ecosystems, and will be achieved through three interrelated objectives:Create a body of knowledge and theoretical foundations, related to the application of land, capital and financial resources, to develop resilient and future-proof tourism destinations and tourism and travel businesses;Develop conceptual models that contribute towards collective models of resilience in tourism destinations and tourism and travel businesses and are based on equitable use of labour, land and natural resources and financial capital;Propose, through approved EU funding, interventions and applications towards new models of tourism destination management and corporate governance, that use sustainable parameters of success (regeneration of biodiversity and nature, improved human welfare of residents at destinations, social and environmental returns).The Project will lead to a series of research proposals that allows the consortium partners to address urgent societal challenges in Europe. During the project timeline, partners will disseminate findings and search for engagement by public and private actors. Ongoing collaboration and knowledge exchange with key industry actors will improve the resilience capacity of destinations through education, skill development, and co-creation of knowledge. Building resilience through tourism is not just an opportunity but a necessity in the face of global environmental and social challenges. The project will establish theoretical foundations for transitioning towards more resilient and environmentally and socially just ecosystems in the leisure, tourism, and hospitality sectors, aiming to shift the industry’s priorities from short-term gains to long-term sustainability. The project supports international collaboration by facilitating university staff mobility and involving students with diverse cultural, industry, and academic backgrounds and experiences. The successful application and completion of the project will strengthen the consortium's capacities and facilitate the ongoing international dialogue through the Resilient Tourism Ecosystems Lab (RTEL), consequently leading to future collaborative EU grant applications.
