Qualitative study using 32 in-depth interviews and 6 focus groups, following a grounded theory approach. This study was intended to further illuminate these considerations, generate hypotheses about non- purchasing decisions, and inform the design of policies that are responsive to concerns and preferences of potential purchasers. Individual decision making in the non- purchase of long-term care insurance.Ĭurry, Leslie A Robison, Julie Shugrue, Noreen Keenan, Patricia Kapp, Marshall BĪlthough prior research suggests that economic, behavioral, and psychosocial factors influence decisions not to purchase long-term care insurance, few studies have examined the interplay among these factors in depth and from the consumer's point of view. The decision tree was tested for the period 1995-99, and returned a cost-effective decision in three of the four winters. The results were used to decide in autumn whether to lock in a price or ride the market each winter. A decision tree was developed and it incorporated three parts: (a) natural gas supply levels, (b) the CPC long-lead climate outlooks for the region, and (c) an ENSO model developed for DeKalb. Non-weather factors, such as the cost and available supplies of natural gas prior to the heating season, contribute to the complexity of the natural gas purchase decision. Weather information assessed included the impact of ENSO events on winters in northern Illinois and the Climate Prediction Center's (CPC) long-range climate outlooks. Northern Illinois University's heating plant manager and staff meteorologist, along with a group of meteorology students, worked together to assess different types of available information that could be used in an autumn natural gas purchasing decision. This paper illustrates a key lesson related to most uses of long-range climate forecast information, namely that effective weather-related decision-making requires understanding and integration of weather information with other, often complex factors. Integrating climate forecasts and natural gas supply information into a natural gas purchasing decisionĬhangnon, David Ritsche, Michael Elyea, Karen Shelton, Steve Schramm, Kevin Once the lights are installed, the staff members' satisfaction with the lights will not be based on objective criteria but on the same subjective opinions that were used to justify the selection. Although the result of this selection process is clearly a subjective decision, it is an informed subjective decision. This constitutes the "professional justification" that some government institutions require to circumvent regulations that require buying the low-bid product. If cost is a major factor in the decision, the evaluation results can be used to justify purchasing lights that are more expensive but that the users believe are clearly superior. The information will enable the group to compare the lights and will serve as a basis for either the final purchase or a detailed bid specification. Once the profiles of the lights are finished, present them to the OR committee or group charged with making the final decision. The profile should include the following information: product literature with detailed information about the light, the average score from each of the six categories on the questionnaire, a summary of positive and negative comments from the questionnaire (recurring comments can identify significant factors), recommendations from other hospitals using the light, warranty and service information and any pertinent information about the vendor and manufacturer, information or comments from the clinical engineer, the purchasing agent, and the architect/engineer, and information about possible purchase agreements. Making a purchase decision.īased on the preceding factors, a profile can be made for each light.
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