Weighted Majoritarian Rules for the Location of Multiple Public Facilities

We consider collective decision problems given by a profile of single-peaked preferences defined over the real line and a set of pure public facilities to be located on the line. In this context, Bochet and Gordon (2012) provide a large class of priority rules based on efficiency, object-population monotonicity and sovereignty. Each such rule is described by a fixed priority ordering among interest groups. We show that any priority rule which treats agents symmetrically — anonymity — respects some form of coherence across collective decision problems — reinforcement — and only depends on peak information — peakonly — is a weighted majoritarian rule. Each such rule defines priorities based on the relative size of the interest groups and specific weights attached to locations. We give an explicit account of the richness of this class of rules.

Decision-usefulness of ideal cost- and ideal value accounting for valuation and stewardship

This paper contrasts the decision-usefulness of prototype accounting regimes based on perfect accounting for value, i.e. ideal value accounting (IVA), and perfect matching of cost, i.e. ideal cost accounting (ICA). The regimes are analyzed in the context of a firm with overlapping capacity investments where projects earn excess returns and residual income is utilized as performance indicator. Provided that IVA and ICA systematically differ based on the criterion of unconditional conservatism, we assess their respective decision-usefulness for different valuation- and stewardship-scenarios. Assuming that addressees solely observe current accounting data of the firm, ICA provides information which is useful for valuation and stewardship without reservation whereas IVA entails problems under specific assumptions.

Systemic Determinants of the Information Systems Outsourcing Decision: A Comparative Study of German and United States Firms

The practice of information systems (IS) outsourcing is widely established among organizations. Nonetheless, evidence suggests that organizations differ considerably in the extent to which they deploy IS outsourcing. This variation has motivated research into the determinants of the IS outsourcing decision. Most of this research is based on the assumption that a decision on the outsourcing of a particular IS function is made independently of other IS functions. This modular view ignores the systemic nature of the IS function, which posits that IS effectiveness depends on how the various IS functions work together effectively. This study proposes that systemic influences are important criteria in evaluating the outsourcing option. It further proposes that the recognition of systemic influences in outsourcing decisions is culturally sensitive. Specifically, we provide evidence that systemic effects are factored into the IS outsourcing decision differently in more individualist cultures than in collectivist ones. Our results of a survey of United States and German firms indicate that perceived in-house advantages in the systemic impact of an IS function are, indeed, a significant determinant of IS outsourcing in a moderately individualist country (i.e., Germany), whereas insignificant in a strongly individualist country (i.e., the United States). The country differences are even stronger with regard to perceived in-house advantages in the systemic view of IS professionals. In fact, the direction of this impact is reversed in the United States sample. Other IS outsourcing determinants that were included as controls, such as cost efficiency, did not show significant country differences.

Creating a public tool to assess and promote transparency in global land deals: the experience of the Land Matrix

The Beta version of the Land Matrix (Land Matrix 2012) was launched in April 2012 as a tool to promote public participation in building a constantly evolving database on large-scale land deals, and making the data visible and understandable. The aim of the Land Matrix partnership is to promote transparency and open data in decisionmaking over land and investment, as a step towards greater accountability. Since its launch, the Land Matrix has attracted a high degree of attention, and stirred some controversy. It provides valuable lessons on the challenges and benefits of promoting open data on practices that are often shrouded in secrecy. This paper critically examines the ongoing efforts by the Land Matrix partnership to build a public tool to promote greater transparency in decision-making over land and investment at a global level. It intends to provoke discussion of the extent to which such a tool can ultimately promote greater transparency and be a step towards greater accountability and improved decision-making. It will present the Land Matrix and its value addition, before detailing the challenges it encountered related to the measurement of the largescale land acquisition phenomenon. It will then specify how it intends to address these issues in order to establish a dynamic and participatory tool for open development.

A study of nurses' judgement of and participation in decision-making for nursing home placement for the elderly

This study investigated the effects of patient variables (physical and cognitive disability, significant others' preference and social support) on nurses' nursing home placement decision-making and explored nurses' participation in the decision-making process.^ The study was conducted in a hospital in Texas. A sample of registered nurses on units that refer patients for nursing home placement were asked to review a series of vignettes describing elderly patients that differed in terms of the study variables and indicate the extent to which they agreed with nursing home placement on a five-point Likert scale. The vignettes were judged to have good content validity by a group of five colleagues (expert consultants) and test-retest reliability based on the Pearson correlation coefficient was satisfactory (average of.75) across all vignettes.^ The study tested the following hypotheses: Nurses have more of a propensity to recommend placement when (1) patients have severe physical disabilities; (2) patients have severe cognitive disabilities; (3) it is the significant others' preference; and (4) patients have no social support nor alternative services. Other hypotheses were that (5) a nurse's characteristics and extent of participation will not have a significant effect on their placement decision; and (6) a patient's social support is the most important, single factor, and the combination of factors of severe physical and cognitive disability, significant others' preference, and no social support nor alternative services will be the most important set of predictors of a nurse's placement decision.^ Analysis of Variance (ANOVA) was used to analyze the relationships implied in the hypothesis. A series of one-way ANOVA (bivariate analyses) of the main effects supported hypotheses one-five.^ Overall, the n-way ANOVA (multivariate analyses) of the main effects confirmed that social support was the most important single factor controlling for other variables. The 4-way interaction model confirmed that the most predictive combination of patient characteristics were severe physical and cognitive disability, no social support and the significant others did not desire placement. These analyses provided an understanding of the importance of the influence of specific patient variables on nurses' recommendations regarding placement. ^

Design and implementation of a multicriteria medical decision support system for diagnosis and treatment

Health care providers face the problem of trying to make decisions with inadequate information and also with an overload of (often contradictory) information. Physicians often choose treatment long before they know which disease is present. Indeed, uncertainty is intrinsic to the practice of medicine. Decision analysis can help physicians structure and work through a medical decision problem, and can provide reassurance that decisions are rational and consistent with the beliefs and preferences of other physicians and patients. ^ The primary purpose of this research project is to develop the theory, methods, techniques and tools necessary for designing and implementing a system to support solving medical decision problems. A case study involving “abdominal pain” serves as a prototype for implementing the system. The research, however, focuses on a generic class of problems and aims at covering theoretical as well as practical aspects of the system developed. ^ The main contributions of this research are: (1) bridging the gap between the statistical approach and the knowledge-based (expert) approach to medical decision making; (2) linking a collection of methods, techniques and tools together to allow for the design of a medical decision support system, based on a framework that involves the Analytic Network Process (ANP), the generalization of the Analytic Hierarchy Process (AHP) to dependence and feedback, for problems involving diagnosis and treatment; (3) enhancing the representation and manipulation of uncertainty in the ANP framework by incorporating group consensus weights; and (4) developing a computer program to assist in the implementation of the system. ^

After Bali: WTO Rules Applying to Public Food Reserves

Once more, agriculture threatened to prevent all progress in multilateral trade rule-making at the Ninth WTO Ministerial Conference in December 2013. But this time, the “magic of Bali” worked. After the clock had been stopped mainly because of the food security file, the ministers adopted a comprehensive package of decisions and declarations mainly in respect of development issues. Five are about agriculture. Decision 38 on Public Stockholding for Food Security Purposes contains a “peace clause” which will now be shielding certain stockpile programmes from subsidy complaints in formal litigation. This article provides contextual background and analyses this decision from a legal perspective. It finds that, at best, Decision 38 provides a starting point for a WTO Work Programme for food security, for review at the Eleventh Ministerial Conference which will probably take place in 2017. At worst, it may unduly widen the limited window for government-financed competition existing under present rules in the WTO Agreement on Agriculture – yet without increasing global food security or even guaranteeing that no subsidy claims will be launched, or entertained, under the WTO dispute settlement mechanism. Hence, the Work Programme should find more coherence between farm support and socio-economic and trade objectives when it comes to stockpiles. This also encompasses a review of the present WTO rules applying to other forms of food reserves and to regional or “virtual” stockpiles. Another “low hanging fruit” would be a decision to exempt food aid purchases from export restrictions.

Structural and Institutional Determinants of Influence Reputation: A Comparison of Collaborative and Adversarial Policy Networks in Decision Making and Implementation

The central assumption in the literature on collaborative networks and policy networks is that political outcomes are affected by a variety of state and nonstate actors. Some of these actors are more powerful than others and can therefore have a considerable effect on decision making. In this article, we seek to provide a structural and institutional explanation for these power differentials in policy networks and support the explanation with empirical evidence. We use a dyadic measure of influence reputation as a proxy for power, and posit that influence reputation over the political outcome is related to vertical integration into the political system by means of formal decision-making authority, and to horizontal integration by means of being well embedded into the policy network. Hence, we argue that actors are perceived as influential because of two complementary factors: (a) their institutional roles and (b) their structural positions in the policy network. Based on temporal and cross-sectional exponential random graph models, we compare five cases about climate, telecommunications, flood prevention, and toxic chemicals politics in Switzerland and Germany. The five networks cover national and local networks at different stages of the policy cycle. The results confirm that institutional and structural drivers seem to have a crucial impact on how an actor is perceived in decision making and implementation and, therefore, their ability to significantly shape outputs and service delivery.

The use of evidence in public debates in the media: the case of Swiss direct-democratic campaigns in the health policy sector

This article analyses the reporting of evidence in Swiss direct-democratic campaigns in the health policy sector, assuming that an informed public helps democracy function successfully. A content analysis of the media’s news reporting shows that of 5030 media items retrieved, a reference to evidence is found in 6.8%. The voter receives evidence in the form of substantiating arguments, equally distributed among proponents and opponents. Experts have the highest chance of providing evidence, but appear most rarely. Integrating more evidence might provide voters with the diversity of arguments needed to make a truly informed decision.

Synchronizing Mind Maps with Fuzzy Cognitive Maps for Decision-Finding in Cognitive Cities

Synchronizing mind maps with fuzzy cognitive maps can help to handle complex problems with many involved stakeholders by taking advantage of human creativity. The proposed approach has the capacity to instantiate cognitive cities by including cognitive computing. A use case in the context of decision-finding (concerning a transportation system) is presented to illustrate the approach.

Decision Support Models for Composing and Navigating through e-Learning Objects

Libraries of learning objects may serve as basis for deriving course offerings that are customized to the needs of different learning communities or even individuals. Several ways of organizing this course composition process are discussed. Course composition needs a clear understanding of the dependencies between the learning objects. Therefore we discuss the metadata for object relationships proposed in different standardization projects and especially those suggested in the Dublin Core Metadata Initiative. Based on these metadata we construct adjacency matrices and graphs. We show how Gozinto-type computations can be used to determine direct and indirect prerequisites for certain learning objects. The metadata may also be used to define integer programming models which can be applied to support the instructor in formulating his specifications for selecting objects or which allow a computer agent to automatically select learning objects. Such decision models could also be helpful for a learner navigating through a library of learning objects. We also sketch a graph-based procedure for manual or automatic sequencing of the learning objects.

Prophylactic mastectomy and oophorectomy for women at risk of breast and ovarian cancer: Incorporating preferences in a decision analysis

The discoveries of the BRCA1 and BRCA2 genes have made it possible for women of families with hereditary breast/ovarian cancer to determine if they carry cancer-predisposing genetic mutations. Women with germline mutations have significantly higher probabilities of developing both cancers than the general population. Since the presence of a BRCA1 or BRCA2 mutation does not guarantee future cancer development, the appropriate course of action remains uncertain for these women. Prophylactic mastectomy and oophorectomy remain controversial since the underlying premise for surgical intervention is based more upon reduction in the estimated risk of cancer than on actual evidence of clinical benefit. Issues that are incorporated in a woman's decision making process include quality of life without breasts, ovaries, attitudes toward possible surgical morbidity as well as a remaining risk of future development of breast/ovarian cancer despite prophylactic surgery. The incorporation of patient preferences into decision analysis models can determine the quality-adjusted survival of different prophylactic approaches to breast/ovarian cancer prevention. Monte Carlo simulation was conducted on 4 separate decision models representing prophylactic oophorectomy, prophylactic mastectomy, prophylactic oophorectomy/mastectomy and screening. The use of 3 separate preference assessment methods across different populations of women allows researchers to determine how quality adjusted survival varies according to clinical strategy, method of preference assessment and the population from which preferences are assessed. ^

The Associations Between Social, Behavioral, and Health Risk Factors on a High School Student’s Decision to Pursue Post High School Plans

Background: Due to the relationship between SES and health, pursuing post high-school plans can lead to better future health outcomes for the student. The current paper assesses how behavioral and health risk factors, and family and social support, effect a student’s decision to pursue post high school plans. Methods: Data from the Youth Behavioral Component of the 2007 Connecticut School Health Survey were analyzed. Composite measures of exposure to/participation in violent behavior, mental and physical health, family/social support and substance abuse were created. The effects of these domains on the decision to pursue post high-school plans were assessed using logistic regression. Data were stratified by socioeconomic status. Results: Low SES students were more likely than high SES students to be doubtful for post high-school plans. Cocaine abuse emerged as the risk factor that put low SES students at the highest odds of not pursuing post high-school plans, followed by involvement in violent/aggressive behavior, and receiving less family/social support than their peers. Similar findings regarding violence and family/social support were found in the high SES group. Findings regarding substance abuse in the high SES group were not statistically significant. Discussion: Prevention programs regarding violence and substance abuse may have the added benefit of increasing the likelihood that high school students will make post high school plans. Preventing cocaine use among low SES students may be of particular importance. Violence prevention measures should be tailored to the target group. Adequate family/social support emerged as an encouraging factor for post high school plans.