18,911 research outputs found

    Pre-therapy process and outcome: A review of research instruments and findings

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    Pre-Therapy aims at stimulating psychological contact in persons suffering psychosis. We offer a review of Pre-Therapy research instruments and findings. The Pre-Therapy Rating Scale (PTRS, Prouty, 1994) and the Evaluation Criterion for the Pre-Therapy Interview (ECPI, Dinacci, 1997) have been the two most frequently used instruments for the assessment of psychological contact. PTRS scores seem more reliable than ECPI scores, but all manuals need revision. Particular attention is needed for the rating of nonverbal behavior. A preliminary evaluation of the structure of the PTRS indicates that it is two-dimensional rather than three-dimensional. The PTRS and the ECPI can be regarded as measures of communicative contact but also as measures of the meaningfulness of communication. Preliminary outcome studies suggest that pre-post and comparative effect sizes of Pre-Therapy are large for communicative contact, but the number of participants in these studies is generally low, as is the number of systematic case studies

    Towards Business Integration as a Service 2.0

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    Cloud Computing Business Framework (CCBF) is a framework for designing and implementation of Could Computing solutions. This proposal focuses on how CCBF can help to address linkage in Cloud Computing implementations. This leads to the development of Business Integration as a Service 1.0 (BIaS 1.0) allowing different services, roles and functionalities to work together in a linkage-oriented framework where the outcome of one service can be input to another, without the need to translate between domains or languages. BIaS 2.0 aims to allow full automation, enhanced security, advanced risk modelling and improved collaboration between processes in BIaaS 1.0. The benefits from adopting BIaS 1.0 and developing BIaS 2.0 are illustrated using a case study from the University of Southampton and several collaborators including IBM US. BIaS 2.0 can work with mainstream technologies such as scientific workflows, and the proposal and demonstration of BIaaS 2.0 will certainly benefit industry and academia

    Shopping for Water: How the Market Can Mitigate Water Shortages in the American West

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    The American West has a long tradition of conflict over water. But after fifteen years of drought across the region, it is no longer simply conflict: it is crisis. In the face of unprecedented declines in reservoir storage and groundwater reserves throughout the West, we focus in this discussion paper on a set of policies that could contribute to a lasting solution: using market forces to facilitate the movement of water resources and to mitigate the risk of water shortages. We begin by reviewing key dimensions of this problem: the challenges of population and economic growth, the environmental stresses from overuse of common water resources, the risk of increasing water-supply volatility, and the historical disjunction that has developed between and among rural and urban water users regarding the amount we consume and the price we pay for water. We then turn to five proposals to encourage the broader establishment and use of market institutions to encourage reallocation of water resources and to provide new tools for risk mitigation. Each of the five proposals offers a means of building resilience into our water management systems. Many aspects of Western water law impose significant obstacles to water transactions that, given the substantial and diverse interests at stake, will take many years to reform. However, Western states can take an immediate step to enable more-flexible use of water resources by allowing simple, short-term water transactions. First, sensible water policy should allow someone who needs water to pay someone else to forgo her use of water or to invest in water conservation and, in return, to obtain access to the saved water. As a second step, state and local governments should facilitate these transactions by establishing essential market institutions, such as water banks, that can serve as brokers, clearinghouses, and facilitators of trade

    Business Integration as a Service

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    This paper presents Business Integration as a Service (BIaS) which enables connections between services operating in the Cloud. BIaS integrates different services and business activities to achieve a streamline process. We illustrate this integration using two services; Return on Investment (ROI) Measurement as a Service (RMaaS) and Risk Analysis as a Service (RAaaS) in two case studies at the University of Southampton and Vodafone/Apple. The University of Southampton case study demonstrates the cost-savings and the risk analysis achieved, so two services can work as a single service. The Vodafone/Apple case study illustrates statistical analysis and 3D Visualisation of expected revenue and associated risk. These two cases confirm the benefits of BIaS adoption, including cost reduction and improvements in efficiency and risk analysis. Implementation of BIaS in other organisations is also discussed. Important data arising from the integration of RMaaS and RAaaS are useful for management of University of Southampton and potential and current investors for Vodafone/Apple

    Empathy Conditioned Conservation: "Walking-in-the-Shoes-of-Others" as a Conservation Farmer

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    Since the destruction and despair caused by the dust bowl of the 1930’s, Americans and their government have taken a keen interest in natural resource conservation policy on agricultural land. The Soil Conservation and Domestic Allotment Act of 1936 was the first farm bill to include provisions that provided payments to farmers willing to employ soil conservation measures (Cain and Lovejoy, 2004). While the main purpose of this bill was to provide financial support to impoverished farmers, the fact remains that natural resource conservation was starting to become an important issue for the American public. Over time, conservation titles in the farm bill have evolved into legislation that protects several resources, including surface water. Expenditures have also significantly increased. While giving monetary payments to individual producers engaging in conservation activities is ultimately a policy decision, the underlying assumption for these payments is one outlined in traditional microeconomic theory, which presumes producers are engaging in activities that will maximize profits. Since conservation activities are not inherently profitable to the individual farmer, payments are provided under the presumption that the only way to increase conservation efforts is to increase profits. The environmental results from these payment schemes have been mixed. With this in mind, the USDA has begun funding research that examines the underlying factors that motivate producers to engage in conservation activities. As part of this new research, a collaboration of researchers from a group of Midwestern universities and government agencies recently engaged in a study of conservation behavior exhibited by producers located in the Blue River/Tuttle Creek Lake watershed of Nebraska and Kansas. Examination of this particular watershed was conducted because it currently provides drinking water to areas of northeast Kansas that are exhibiting rapid population expansion, such as Manhattan, Lawrence, and Kansas City. The Blue River/Tuttle Creek Lake watershed covers a large portion of southcentral and southeast Nebraska, as well as northeast Kansas. However, the use of natural resource assessment maps and empirical surface water quality data served to identify a critical four county area of nonpoint source runoff near the Nebraska-Kansas border that may have the largest impact on Tuttle Creek Lake. Particular attention was paid to the adoption of no-till/conservation tillage strategies in this area due to the sedimentation problem in the Lake. Data was obtained through the use of both focus groups and a mail survey. Overall, the survey response rate was 17.1 percent (639 survey responses; 498 surveys were used in the statistical analysis). Variables used to assess what motivates farmers to engage in conservation tillage technologies included income capacity; psychological tendencies for jointly pursuing self-interest and an empathy conditioned, shared other-interest; habitual tendencies; and preferences for control over farming operations. Results confirmed some old notions and added several new insights into what actually motivates being a conservation farmer. As economic (and policy) tradition suggests, we confirmed that income (i.e. financial capacity) was a significant variable. However, the models showed that a one thousand dollar increase in income only increased the odds of conservation tillage adoption by 0.4 to 0.6 percent (i.e. less than 1 percent). The first new insight suggests that farmers who recognize the water quality problem in the watershed and subsequently empathize with downstream water users (i.e. “walk-in-their-shoes”) are much more likely to engage in conservation tillage strategies. In fact, we show that farmers with even a small interest in identifying with downstream water users are anywhere from four to nine percent more likely to use conservation tillage technologies. Related to this empathy phenomenon, we also show that people other than the individual farmer can influence the decision to use conservation tillage. We found that the odds of conservation tillage adoption increase by nine percent for those farmers that think farm entities (i.e. lenders, chemical and seed suppliers, equipment dealers, etc) believe that they should use conservation tillage technologies. Intriguingly, though, we also found that the opinions of family members and downstream water users do not have a significant impact on the tillage decision. Another new insight points to how preferences for control impact the decision. Our results indicated that a farmer who believes the use of conservation tillage results in a loss of control over farming operations is less likely to use the technology. In fact, the odds of conservation tillage adoption decrease by about nine percent for those that perceive just a small loss of control over farm operations when using conservation tillage technologies. Finally, we find that a farmer’s habitual tendencies play a large role on the tillage adoption decision in the study area, with the odds of conservation tillage adoption increasing by nearly forty percent if a farmer has used conservation tillage in the past. While some would argue that “we always knew that current choice is affected by past (habit) choice,” the underpinnings are in fact quite new. Only in recent years have behavioral and neuroeconomics researchers documented that we run on automatic most of the time. So, it takes greater financial incentives to move a farmer to a conservation path (i.e. change habits) than it does to keep someone on that path. So what is the bottomline? We conclude that a single over-arching conservation policy based in traditional economics will not work. Rather, a behavioral economics framework gives a a more reasonable and rational basis for said policy. In particular, in addition to financial incentives, policy needs to recognize habits and control, and especially the role of empathy, i.e. “walking-in-the-shoes” of others: Emotions (reflected in empathy) play a much larger role in truly rational choice than traditional economic thinking acknowledges. Solving environmental quality problems depends on better understanding the human dimension of conservation decisions. Cain, Z., and S. Lovejoy. “History and Outlook for Farm Bill Conservation Programs.” Choices (2004): 37-42.Behavioral economics, Empathy. Dual motives, Dual Interests, Shared Other-interest, Self-interest, Institutional and Behavioral Economics, Resource /Energy Economics and Policy,

    A Structural Econometric Model of Price Discrimination in the Mortgage Lending Industry

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    We propose a model of discrimination in the market for mortgages. The model explains accepted loan applications and determines loan sizes and interest rates simultaneously. A competitive, and a discriminating monopoly version of the model are proposed. Offered interest rates and loan sizes are a function of observable borrower characteristics. The competitive model rests on a marginal condition, re°ecting contract optimality, to which a zero-profit condition is added. In contrast, the discriminating monopoly maximizes profitsunder a borrower participation constraint, reflecting the availability of a rental market as an outside option. Each version of the model is a bivariate, nonlinear model, and is estimated by standard maximum likelihood methods. The data used for estimation is a sample of clients of a French network of mortgage lenders. We show the presence of "social discrimination" in the data, the loan conditions depending, not only on the borrower's wage and downpayment, but also on the borrower's occupational status. Abnormally high risk premia in the competitive version of the model suggest the presence of market power, justifying an attempt at estimating its monopolistic version. The discriminating monopoly model estimates show that the borrowers' price-elasticity of demand for housing varies with occupational status, and is inversely related with the lender's interest rate markups. This confirms that the lender exploits structural differences in the preferences to discriminate, as predicted by standard theories.mortgage loans, price discrimination, discriminating monopoly.
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