System Dynamics Model For Hospital Waste Characterisation and Generation in Developing Countries.

Waste management policy makers always face the problem of how to predict the future amount and composition of medical solid waste, which in turn will help determine the most appropriate treatment, recycling and disposal strategy. An accurate prediction can assist in both the planning and design of medical solid waste management systems. Insufficient budget and unavailable management capacity are the main reasons for the scarcity of medical solid waste quantities and components historical records, which are so important in long-term system planning and short-term expansion programs. This paper presents a new technique, using system dynamics modelling, to predict generated medical solid waste in a developing urban area, based on a set of limited samples from Jenin District hospitals, Palestine. The findings of the model present the trend of medical solid waste generation together with its different components and indicate that a new forecasting approach may cover a variety of possible causative models and track inevitable uncertainties when traditional statistical least-squared regression methods are unable to handle such issues

Elderly Care and Digital Services: Toward a Sustainable Sociotechnical Transition

The elderly care system’s sustainability is one of the largest societal challenges of our time. Digitalization and the implementation of technologies in elderly care are viewed as offering possible solutions to the social and economic challenges of sustainability. This study’s objective is to examine the development, implementation, and diffusion of technologies in elderly care from a sociotechnical perspective, leaning on the concepts of sociotechnical transitions. The focus mainly is on sustainable niche development, including interactions between niches and regimes in terms of sustainable sociotechnical transitions, how niches are developed in relation to sustainability, and in which conditions and circumstances promising niches can contribute to regime change in elderly care. Through a multiple-case study in different living environments of elderly residents in Finland, we identify factors that facilitate or hinder sustainable development and the implementation and diffusion of technologies in elderly care. The three case studies concern various types of development: introduction of tablet computers in senior housing, construction of a multisensory room in a care home, and the use of a care robot in care homes and in a rehabilitation hospital. Critical factors for sustainable niche development include involving users in the development processes, as well as simultaneous development of technologies and services. The multifaceted and effective use of technologies requires time and resources. Critical factors in niche-regime interaction are, for example, factors relating to attitudes, as well as technologies’ maturity. The need to consider a wider perspective, rather than a singular disruption, is key.Post-print / Final draf

Detecting and monitoring change in models

Schaffernicht, M. Facultad de Ciencias Empresariales, Universidad de Talca, Avenida Lircay s/n, Talca, Chile.System dynamics is often brought into connection with a double-loop learning process. Learning has been the object of an increasing number of studies. However, inquiry has focused on using models rather than modeling, and there are huge differences in assessment approaches. If learning changes models then it can be inferred from comparing models. Here it is argued that monitoring learning from modeling is feasible and desirable. One possibility is to conceive of a model as a series of versions and compare their structure. One possible method for comparing model versions is presented