Courts and Consociations:How human rights courts may destabilize power-sharing settlements

We consider the use of consociational arrangements to manage ethno-nationalist, ethno-linguistic, and ethno-religious conflicts, and their compatibility with non-discrimination and equality norms. Key questions include to what extent, if any, consociations conflict with the dictates of global justice and the liberal individualist preferences of international human rights institutions, and to what extent consociational power-sharing may be justified to preserve peace and the integrity of political settlements. In three critical cases, the European Court of Human Rights has considered equality challenges to important consociational practices, twice in Belgium and, most recently, in Sejdic and Finci, concerning the constitutional arrangements established for Bosnia Herzegovina under the Dayton Agreement. The Court’s recent decision in Sejdic and Finci has significantly altered the approach it previously took to judicial review of consociational arrangements in the Belgian cases. We seek to account for this change and assess its implications. We identify problematic aspects of the judgment and conclude that, although the Court’s decision indicates one possible trajectory of human rights courts’ reactions to consociations, this would be an unfortunate development because it leaves future negotiators in places riven by potential or manifest bloody ethnic conflicts with considerably less flexibility in reaching a settlement. That in turn may unintentionally contribute to sustaining such conflicts and make it more likely that advisors to negotiators will advise them to exclude regional and international courts from having standing in the management of political settlements.

Procurement and Fairness in the Workplace

Public procurement is a potential lever for ensuring greater attention is given to ensuring minimum standards and effective employment rights in the workplace. Public sector purchasers may encourage or require private sector employers from whom they buy to adopt a proactive approach to ensuring fairness at work, focusing on organisational changes that the employer could make. This chapter explores whether and how far public procurement does, or could, influence whether – and how much – employment rights have an impact on employer policy and practice. It considers what public procurement offers as a strategy and what factors help to determine its effectiveness.

Individual and couple decision behavior under risk: evidence on the dynamics of power balance

This article reports results of an experiment designed to analyze the link between risky decisions made by couples and risky decisions made separately by each spouse. We estimate both the spouses and the couples' degrees of risk aversion, we assess how the risk preferences of the two spouses aggregate when they make risky decisions, and we shed light on the dynamics of the decision process that takes place when couples make risky decisions. We find that, far from being fixed, the balance of power within the household is malleable. In most couples, men have, initially, more decision-making power than women but women who ultimately implement the joint decisions gain more and more power over the course of decision making.

Risky decision making in younger and older adults:The role of learning.

Are older adults risk seeking or risk averse? Answering this question might depend on both the task used and the analysis performed. By modeling responses to the Balloon Analogue Risk Task (BART), our results illustrate the value of modeling as compared to relying on common analysis techniques. While analysis of overall measures suggested initially that older and younger adults do not differ in their risky decisions, our modeling results indicated that younger adults were at first more willing to take greater risks. Furthermore, older adults may be more cautious when their decision making is based on initial perceptions of risk, rather than learning following some experience with a task.

Climate change adaptation : a decision support framework to encourage environmentally responsible behaviour

Structured Abstract:
Purpose: Very few studies investigate environmentally responsible behaviour (ERB). This paper presents a new 'Awareness Behaviour Intervention Action' (ABIA) Decision Support Framework to sustain ERB.

Design/methodology/approach: Previous ERB programmes have failed to deliver lasting results; they have not appropriately understood and provided systems to address ERB (Costanzo et al., 1986). These programmes were based on assumptions (Moloney et al., 2010), which this paper addresses. The ABIA Framework has been developed through a case study of social housing tenants waiting for low or zero carbon homes.

Findings: The ABIA Framework enables a better understanding of current attitudes to environmental issues and provides support for ERB alongside technological interventions employed to promote and sustain carbon reduction.

Research limitations/implications: The ABIA Framework should be tested on individuals and communities in a variety of socio-economic, political and cultural contexts. This will help unpack how it can impact on the behaviours of individuals and communities including stakeholders.

Practical implications: This type of research and the ABIA Framework developed from it are crucial if the UK pledge to become the first country in the World where all new homes from 2016 are to be zero carbon.

Social implications: The Framework encourages both individual and community discussion and solving of sustainability issues.

Originality/value: There are few, if any, studies that have developed a framework which can be used to support behavioural change for adaptation to sustainable living in low or zero carbon homes.

Self-disclosure decision making based on intimacy and privacy

Autonomous agents may encapsulate their principals' personal data attributes. These attributes may be disclosed to other agents during agent interactions, producing a loss of privacy. Thus, agents need self-disclosure decision-making mechanisms to autonomously decide whether disclosing personal data attributes to other agents is acceptable or not. Current self-disclosure decision-making mechanisms consider the direct benefit and the privacy loss of disclosing an attribute. However, there are many situations in which the direct benefit of disclosing an attribute is a priori unknown. This is the case in human relationships, where the disclosure of personal data attributes plays a crucial role in their development. In this paper, we present self-disclosure decision-making mechanisms based on psychological findings regarding how humans disclose personal information in the building of their relationships. We experimentally demonstrate that, in most situations, agents following these decision-making mechanisms lose less privacy than agents that do not use them. (C) 2012 Elsevier Inc. All rights reserved.

Evidence-Based Clinical Pathways To Manage Urinary Tract Infections in Long-Term Care Facilities:A Qualitative Case Study Describing Administrator and Nursing Staff Views

Objectives: This article examines the views of nursing staff and administrators in long-term care facilities (LTCFs) regarding a clinical pathway for managing urinary tract infections (UTIs) in LTCF residents. Design: A qualitative (case study) design was used. Setting: Data were collected from 8 LTCFs in southern Ontario and 2 in Iowa enrolled in a larger randomized controlled trial of clinical pathway for managing UTIs in LTCF residents, conducted between September 2001 and March 2003. The clinical pathway, designed to more effectively identify, diagnose, and treat UTIs, and reduce inappropriate antibiotics use for asymptomatic UTIs, introduced 2 decision tools to determine when to order a urine culture and initiate antibiotic treatment for suspected UTIs. Participants: We conducted 19 individual interviews with administrators and 10 focus groups with 52 nurses. Findings: Nurses generally thought that the pathways were well developed and easy to use, and administrators believed they were an important educational resource. Barriers to their use varied by group-initial lack of buy-in from nurses (medical directors), additional work (directors of nursing), and the need to change the protocol to exclude certain residents based on prior health conditions and/or pressure from physicians or families (nurses). Conclusions: Both administrators and staff, once familiar with a new clinical protocol to improve UTI management in LTCFs, generally supported its use. © 2007 American Medical Directors Association.

Robust food supply supply chains:An integrated framework for vulnerability assessment and disturbance management

The operation of supply chains (SCs) has for many years been focused on efficiency, leanness and responsiveness. This has resulted in reduced slack in operations, compressed cycle times, increased productivity and minimised inventory levels along the SC. Combined with tight tolerance settings for the realisation of logistics and production processes, this has led to SC performances that are frequently not robust. SCs are becoming increasingly vulnerable to disturbances, which can decrease the competitive power of the entire chain in the market. Moreover, in the case of food SCs non-robust performances may ultimately result in empty shelves in grocery stores and supermarkets.
The overall objective of this research is to contribute to Supply Chain Management (SCM) theory by developing a structured approach to assess SC vulnerability, so that robust performances of food SCs can be assured. We also aim to help companies in the food industry to evaluate their current state of vulnerability, and to improve their performance robustness through a better understanding of vulnerability issues. The following research questions (RQs) stem from these objectives:
RQ1: What are the main research challenges related to (food) SC robustness?
RQ2: What are the main elements that have to be considered in the design of robust SCs and what are the relationships between these elements?
RQ3: What is the relationship between the contextual factors of food SCs and the use of disturbance management principles?
RQ4: How to systematically assess the impact of disturbances in (food) SC processes on the robustness of (food) SC performances?
To answer these RQs we used different methodologies, both qualitative and quantitative. For each question, we conducted a literature survey to identify gaps in existing research and define the state of the art of knowledge on the related topics. For the second and third RQ, we conducted both exploration and testing on selected case studies. Finally, to obtain more detailed answers to the fourth question, we used simulation modelling and scenario analysis for vulnerability assessment.
Main findings are summarised as follows.
Based on an extensive literature review, we answered RQ1. The main research challenges were related to the need to define SC robustness more precisely, to identify and classify disturbances and their causes in the context of the specific characteristics of SCs and to make a systematic overview of (re)design strategies that may improve SC robustness. Also, we found that it is useful to be able to discriminate between varying degrees of SC vulnerability and to find a measure that quantifies the extent to which a company or SC shows robust performances when exposed to disturbances.
To address RQ2, we define SC robustness as the degree to which a SC shows an acceptable performance in (each of) its Key Performance Indicators (KPIs) during and after an unexpected event that caused a disturbance in one or more logistics processes. Based on the SCM literature we identified the main elements needed to achieve robust performances and structured them together to form a conceptual framework for the design of robust SCs. We then explained the logic of the framework and elaborate on each of its main elements: the SC scenario, SC disturbances, SC performance, sources of food SC vulnerability, and redesign principles and strategies.
Based on three case studies, we answered RQ3. Our major findings show that the contextual factors have a consistent relationship to Disturbance Management Principles (DMPs). The product and SC environment characteristics are contextual factors that are hard to change and these characteristics initiate the use of specific DMPs as well as constrain the use of potential response actions. The process and the SC network characteristics are contextual factors that are easier to change, and they are affected by the use of the DMPs. We also found a notable relationship between the type of DMP likely to be used and the particular combination of contextual factors present in the observed SC.
To address RQ4, we presented a new method for vulnerability assessments, the VULA method. The VULA method helps to identify how much a company is underperforming on a specific Key Performance Indicator (KPI) in the case of a disturbance, how often this would happen and how long it would last. It ultimately informs the decision maker about whether process redesign is needed and what kind of redesign strategies should be used in order to increase the SC’s robustness. The VULA method is demonstrated in the context of a meat SC using discrete-event simulation. The case findings show that performance robustness can be assessed for any KPI using the VULA method.
To sum-up the project, all findings were incorporated within an integrated framework for designing robust SCs. The integrated framework consists of the following steps: 1) Description of the SC scenario and identification of its specific contextual factors; 2) Identification of disturbances that may affect KPIs; 3) Definition of the relevant KPIs and identification of the main disturbances through assessment of the SC performance robustness (i.e. application of the VULA method); 4) Identification of the sources of vulnerability that may (strongly) affect the robustness of performances and eventually increase the vulnerability of the SC; 5) Identification of appropriate preventive or disturbance impact reductive redesign strategies; 6) Alteration of SC scenario elements as required by the selected redesign strategies and repeat VULA method for KPIs, as defined in Step 3.
Contributions of this research are listed as follows. First, we have identified emerging research areas - SC robustness, and its counterpart, vulnerability. Second, we have developed a definition of SC robustness, operationalized it, and identified and structured the relevant elements for the design of robust SCs in the form of a research framework. With this research framework, we contribute to a better understanding of the concepts of vulnerability and robustness and related issues in food SCs. Third, we identified the relationship between contextual factors of food SCs and specific DMPs used to maintain robust SC performances: characteristics of the product and the SC environment influence the selection and use of DMPs; processes and SC networks are influenced by DMPs. Fourth, we developed specific metrics for vulnerability assessments, which serve as a basis of a VULA method. The VULA method investigates different measures of the variability of both the duration of impacts from disturbances and the fluctuations in their magnitude.
With this project, we also hope to have delivered practical insights into food SC vulnerability. First, the integrated framework for the design of robust SCs can be used to guide food companies in successful disturbance management. Second, empirical findings from case studies lead to the identification of changeable characteristics of SCs that can serve as a basis for assessing where to focus efforts to manage disturbances. Third, the VULA method can help top management to get more reliable information about the “health” of the company.
The two most important research opportunities are: First, there is a need to extend and validate our findings related to the research framework and contextual factors through further case studies related to other types of (food) products and other types of SCs. Second, there is a need to further develop and test the VULA method, e.g.: to use other indicators and statistical measures for disturbance detection and SC improvement; to define the most appropriate KPI to represent the robustness of a complete SC. We hope this thesis invites other researchers to pick up these challenges and help us further improve the robustness of (food) SCs.

Patriotism or Integrity?:Constitutional Community in Divided Societies

Some commentators worry that a plurinational constitutional order can only ever be an inherently unstable modus vivendi. They fear that the accommodation of sub-state nationalism will tend to undermine the viability of constitutional democracies. This article enlists Ronald Dworkin’s theory of ‘law as integrity’ to show how these concerns might be assuaged. My central claim is that the expressive value of integrity can drive a divided society in the direction of an eventual community of principle, even in the absence of a common political identity. I argue that this model of political community is a more plausible prescription for divided societies than the theory that competing nationalisms might be superseded by constitutional patriotism. I go on to explain, however, that integrity has a better chance of realizing this potential if the generally judge-centric focus of Dworkin’s theory is expanded to make greater room for non-judicial interpretative responsibility. Occasional references are made to the example of Northern Ireland to illustrate my points.

Assessment of factors that influence physician decision making regarding medication use in patients with dementia at the end of life

Objective
This study aimed to evaluate the extent to which patient-related factors and physicians' country of practice (Northern Ireland [NI] and the Republic of Ireland [RoI]) influenced decision making regarding medication use in patients with end-stage dementia.

Methods
The study utilised a factorial survey design comprising four vignettes to evaluate initiating/withholding or continuing/discontinuing specific medications in patients with dementia nearing death. Questionnaires and vignettes were mailed to all hospital physicians in geriatric medicine and to all general practitioners (GPs) in NI (November 2010) and RoI (December 2010), with a second copy provided 3 weeks after the first mailing. Logistic regression models were constructed to examine the impact of patient-related factors and physicians' country of practice on decision making. Significance was set a priori at p ≤ 0.05. Free text responses to open questions were analysed qualitatively using content analysis.

Results
The response rate was 20.6% (N = 662) [21.1% (N = 245) for GPs and 52.1% (N = 38) for hospital physicians in NI, 18.3% (N = 348) for GPs and 36.0% (N = 31) for hospital physicians in RoI]. There was considerable variability in decision making about initiating/withholding antibiotics and continuing/discontinuing the acetylcholinesterase inhibitor and memantine hydrochloride, and less variability in decision making regarding statins and antipsychotics. Patient place of residence and physician's country of practice had the strongest and most consistent effects on decision making although effect sizes were small.

Conclusions
Further research is required into other factors that may impact upon physicians' prescribing decisions for these vulnerable patients and to clarify how the factors examined in this study influence prescribing decisions.