Sustainability, as well as the sustainable use of resources and related issues, has inspired a long-lasting and lively debate among scholars of different disciplines. Due to under-investigation of several of the sustainability-related challenges, this paper aims to better understand the system dynamics that, supported by some digital enablers (e.g., digital technologies and platforms), boost the sustainability of complex service systems such as healthcare. To this end, the theoretical meta-model of interaction types, which inspired the prototype digital platform dedicated to the online delivery of health-related services, is presented. Moreover, some healthcare usage scenarios, based on the prototype’s functions, are analysed and discussed. This allows understanding of how important the role of technologies and, in particular, digital platforms, are in empowering actors and in making them willing to interact, and share their own resources in continually new ways. This paves the way for ongoing value co-creation, which is essential for healthcare system sustainability.
The aim of the paper is not to review the large body of work concerning nonlinear time series analysis in economics, about which much has been written, but rather to focus on the new techniques developed to detect chaotic behaviours in economic data. More specifically, our attention will be devoted to reviewing some of these techniques and their application to economic and financial data in order to understand why chaos theory, after a period of growing interest, appears now not to be such an interesting and promising research area.
The crisis that was being shaken the world economy should push economists to wonder about the approach used to analyse economic phenomena. The motivations that have generated it, describing a whole of interdependencies, interacttions, are clear and convincing. But a question remains: if the situation is so clear a posterior why economists have not been able to foresee it? What is happening to economic science if it is not able to recognize an economic crisis before it “steps on it“? How is it possible that the economic science was caught off guard yet again? Besides, what is the implication for the status of economics as a science if it is not able to successfully deal with real economic problems? The aim of the paper is to show the weakness of traditional economic theory and what improvements in terms of description and foresight could be obtained applying chaos theory to the study of economic phenomena
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