Using modeling as a co-design approach in the planning process of new care environments

Current research shows a relationship between healthcare architecture and patient-related Outcomes. The planning and designing of new healthcare environments is a complex process; the needs of the various end-users of the environment must be considered, including the patients, the patients’ significant others, and the staff. The aim of this study was to explore the experiences of healthcare professionals participating in group modelling utilizing system dynamics in the pre-design phase of new healthcare environments. We engaged healthcare professionals in a series of workshops using system dynamics to discuss the planning of healthcare environments in the beginning of a construction, and then interviewed them about their experience. An explorative and qualitative design was used to describe participants’ experiences of participating in the group modelling projects. Participants (n=20) were recruited from a larger intervention study using group modeling and system dynamics in planning and designing projects. The interviews were analysed by qualitative content analysis. Two themes were formed, representing the experiences in the group modeling process: ‘Partaking in the G-M created knowledge and empowerment’and ‘Partaking in the G-M was different from what was expected and required time and skills’. The method can support participants in design teams to focus more on their healthcare organization, their care activities and their aims rather than focusing on detailed layout solutions. This clarification is important when decisions about the design are discussed and prepared and will most likely lead to greater readiness for future building process.

An Analysis of the Telecommunications Business in China by Linear Regression

In this paper, we study the influence of the National Telecom Business Volume by the data in 2008 that have been published in China Statistical Yearbook of Statistics. We illustrate the procedure of modeling “National Telecom Business Volume” on the following eight variables, GDP, Consumption Levels, Retail Sales of Social Consumer Goods Total Renovation Investment, the Local Telephone Exchange Capacity, Mobile Telephone Exchange Capacity, Mobile Phone End Users, and the Local Telephone End Users. The testing of heteroscedasticity and multicollinearity for model evaluation is included. We also consider AIC and BIC criterion to select independent variables, and conclude the result of the factors which are the optimal regression model for the amount of telecommunications business and the relation between independent variables and dependent variable. Based on the final results, we propose several recommendations about how to improve telecommunication services and promote the economic development.

Attractive Work Process

Many companies both in Sweden and other parts of the world are since the beginning of the 21st century faceing a lack of work force (1,2,3). The ability to recruit and retain skilled employees is seen as one of the most important questions for the survival and development of the companies (4,5). Labour shortage is seen as the biggest obstacle for expansion for small enterprises in Sweden (5). There is a need for workplaces to be attractive, but how can the attractiveness be increased? Researchers at Högskolan Dalarna have during almost a decennium conducted research concerning attractive work. Based on a modell of qualities that contributes to make a work attractive (6) has a method aiming for raised attractiveness been developed for SME:s. All employees participate by answering a questionnaire about the importance of different qualities and to what degree they are fulfilled. Further discussions at the workplace on what to preserve and what to develop make the base for an action plan.Important experiences:• Discuss and establish the aim of the method with management and employees. • The company must be prepared to follow up and realize the action plan.• Agree about expectations – they must be realistic and practicable.• Reserve time to start the process and to end up in an action plan. • Avoid negative thinking and put problems away. • Take all the time small steps in the right direction.• Keep employees engaged and avoid the manager or process leader to take the command.• Use the strategy with small work groups; it gives better possibilities for participation and outspokenness.• Follow up studies are necessary to keep up the motivation.The most positive aspects of the method is its promoting perspective and that it engages all the employees.1.Rauhut, D. (2002). Arbetskraftsbrist och arbetskraftsinvandring: hot eller möjlighet för ekonomisk tillväxt? Östersund, ITPS, Institutet för tillväxtpolitiska studier.2.Funch, M. and C. Ehrnooth. (2008, 08-10-2008). Labour shortage despite financial crisis? Retrieved 2008-12-16, 2008, from www.norden.org/webb/news/news.asp?id=8113&lang=6. 3.Manpower (2008). Talent Shortage Survey 2008 Global Results: 10. 4.Bakker, A. B. and W. B. Schaufeli (2008). Positive organizational behavior: Engaged employees in flourishing organizations. Journal of Organizational Behavior 29: 147-154.5.Kennemar, J. and L. Jagrén (2008). Småföretagsbarometern. Stockholm, Swedbank Företagarna: 23.6.Åteg, M., A. Hedlund, et al. (2004). Attraktivt arbete. Från anställdas uttalanden till skapandet av en modell. Stockholm, Arbetslivsinstitutet.

Review of the literature on credit risk modeling : development of the past 10 years

This paper traces the developments of credit risk modeling in the past 10 years. Our work can be divided into two parts: selecting articles and summarizing results. On the one hand, by constructing an ordered logit model on historical Journal of Economic Literature (JEL) codes of articles about credit risk modeling, we sort out articles which are the most related to our topic. The result indicates that the JEL codes have become the standard to classify researches in credit risk modeling. On the other hand, comparing with the classical review Altman and Saunders(1998), we observe some important changes of research methods of credit risk. The main finding is that current focuses on credit risk modeling have moved from static individual-level models to dynamic portfolio models.