Diffusion of Variegated Neoliberalization processes in Euro-Mediterranean policies: a strategic relational approach

ABSTRACT

Recent contributions to the study of neoliberalism have made considerable advances in transcending the dichotomy between understandings of the concept either as an ‘ideology’ or as a monolithic ‘structure’. In particular, the Variegated Neoliberalization (VNLT) approach has proposed an understanding of neoliberalism that relies on a path-dependent moment (i.e. the ‘uneven development of neoliberalization’) which is then followed by a path-shaping moment (i.e. the ‘neoliberalization of regulatory uneven development’). Such a perspective allows us to understand both systemic and contingent tendencies in neoliberalization processes across different geographies, transcending the socially constructed North–South divide. However, the VNLT approach has encountered a number of critiques, particularly in relation to its treatment of agency. In order to transcend these critiques and propose a more nuanced understanding of ways agents reflexively and recursively interpret and deepen – or refrain from deepening – neoliberal norms, I turn to the Strategic-Relational Approach (SRA) proposed by [Jessop, B. (2001). Institutional re(turns) and the strategic – relational approach. Environment and Planning A, 33(7), 1213–1235]. Through the SRA, it becomes possible to pinpoint both instances of ‘structured coherence’ and ‘patterned incoherence’ resulting from agential reflexivity in different contexts of neoliberalization. I will therefore turn to cases where these two patterns can be observed in the context of Euro-Mediterranean policies – that is, Morocco’s ‘structured coherence’ due to its internalized and deepening neoliberalization, and Egypt’s ‘patterned incoherence’ as a result of its still uneven development of neoliberalization.     

Leveraging historical data into oncology development programs: Two case studies of phase 2 Bayesian augmented control trial designs

Leveraging historical data into the design and analysis of phase 2 randomized controlled trials can improve efficiency of drug development programs. Such approaches can reduce sample size without loss of power. Potential issues arise when the current control arm is inconsistent with historical data, which may lead to biased estimates of treatment efficacy, loss of power, or inflated type 1 error. Consideration as to how to borrow historical information is important, and in particular, adjustment for prognostic factors should be considered. This paper will illustrate two motivating case studies of oncology Bayesian augmented control (BAC) trials. In the first example, a glioblastoma study, an informative prior was used for the control arm hazard rate. Sample size savings were 15% to 20% by using a BAC design. In the second example, a pancreatic cancer study, a hierarchical model borrowing method was used, which enabled the extent of borrowing to be determined by consistency of observed study data with historical studies. Supporting Bayesian analyses also adjusted for prognostic factors. Incorporating historical data via Bayesian trial design can provide sample size savings, reduce study duration, and enable a more scientific approach to development of novel therapies by avoiding excess recruitment to a control arm. Various sensitivity analyses are necessary to interpret results. Current industry efforts for data transparency have meaningful implications for access to patient‐level historical data, which, while not critical, is helpful to adjust for potential imbalances in prognostic factors.     

Is Tourism Marriage of Young Girls in Egypt a Form of Child Sexual Abuse? A Family Exploitation Perspective

Tourism marriage in Egypt is considered a part of the child marriage phenomenon, as parents following false interpretations of Islamic teachings offer up their daughters for short-term sexual relationships in return for money from tourists. This exploratory study used qualitative methods to interview 42 parents who reside in the city of Darasa, Giza, Egypt, whose daughters were persuaded to engage in tourism marriage. Eight social work students utilized an interview guide that contained 10 questions exploring how parents strike deals with tourists and avoid all legal and traditional procedures of marriage in Egypt. The findings of this study were summarized in six distinct themes, which show evidence of family exploitation of young women. This experience likely increases the child’s vulnerability to psychological, social, and physical consequences.     

Postponement implementation in integrated production and inventory plan under deterioration effects: a case study of a juice producer with limited storage capacity

Abstract

The aim of this study is to develop a production and inventory plan for a fresh apple juice producer. During harvest season, the producer extracts premium juice from freshly picked apples and keeps an inventory of these premium apples in his temperature-controlled storage facility. The producer extracts also regular juice from regular apples purchased from third-party storages. To satisfy future demand, the producer carries inventories of juice and apple. The levels of apple inventories are constrained by the producer’s limited storage space, but he can replenish regular apples. To assist the producer in facing demand uncertainty and deterioration of apples, we develop a production and inventory plan that incorporates postponement to mitigate demand uncertainty. As postponement decisions are shaped by the cost structure of inventories, we integrate in one model the postponement decisions and the deterioration mitigation decisions that can alter the inventory costs. We build multi-period stochastic programming with recourse model to determine juice batch sizes and apple inventories that maximize the producer’s expected profit. The optimal solution illustrates the use of time and form postponements. We discuss the interactions between postponement implementation and decisions to mitigate apples deterioration. We compare the production and inventory plans with and without postponement and with and without apple deterioration. We also present sensitivity analyses for the plan under varying inventory cost and storage space.     

Women from the Middle East and North Africa in Europe: understanding their marriage and family dynamics

The aim of this article is to assist the understanding of social workers in Europe of marriage and family dynamics among women from Middle East and North African countries who have moved to Europe. The focus of this article is on husband selection processes and family dynamics after marriage in Egypt, which is used as a case study reflecting culture and norms surrounding marriage in this region. This article reports on the findings of doctoral studies which examined marriage patterns and family dynamics in North Africa and in particular in Egypt where more in-depth data were available. The authors reflect issues surrounding values and process of marriage not only in terms of the implications for practice with social work clients or service users, but also in relation to the potential of women from this region who may join the social care workforce.     

A Simulation of Partial Information Use in Decision Making: Implications for DSS Design

Information matrices are often the output produced by a decision support system. These matrices are a common method for expressing a decision situation under different decision-making scenarios. The decisions involved in designing a decision support system to generate the information matrix are important and involve several cost and benefit components. A designer needs guidance in making effective design decisions in this context. Such guidance can be provided by considering the relationships among specific design decisions, costs, and benefits. The general objective of this study is to provide a comprehensive framework for this purpose. This study is the first to develop and present a comprehensive cost-benefit framework for evaluating design decisions for a variety of scenarios. The specific objective of this research is to provide guidance regarding the number of available information dimensions to incorporate in a computer-based decision aid. Simulation experiments are conducted with a completely specified model based on the cost-benefit framework (including needed assumptions) to evaluate how many information dimensions to include for a specific information matrix size to achieve a balance between information use costs and decision quality. Based upon extensive simulation analyses for a hypothetical decision maker, the practical guideline found for designers is to include only the top half of the relevant information dimensions in any specific decision support system. Over a large number of repeating choice decisions, the savings in cognitive effort and information gathering costs clearly offset relatively minor losses in decision quality.     

Key considerations for choosing a statistical method to deal with incomplete treatment adherence in pragmatic trials

Pragmatic trials offer practical means of obtaining real-world evidence to help improve decision-making in comparative effectiveness settings. Unfortunately, incomplete adherence is a common problem in pragmatic trials. The commonly used methods in randomized control trials often cannot handle the added complexity imposed by incomplete adherence, resulting in biased estimates. Several naive methods and advanced causal inference methods (e.g., inverse probability weighting and instrumental variable-based approaches) have been used in the literature to deal with incomplete adherence. Practitioners and applied researchers are often confused about which method to consider under a given setting. This current work is aimed to review commonly used statistical methods to deal with non-adherence along with their key assumptions, advantages, and limitations, with a particular focus on pragmatic trials. We have listed the applicable settings for these methods and provided a summary of available software. All methods were applied to two hypothetical datasets to demonstrate how these methods perform in a given scenario, along with the R codes. The key considerations include the type of intervention strategy (point treatment settings, where treatment is administered only once versus sustained treatment settings, where treatment has to be continued over time) and availability of data (e.g., the extent of measured or unmeasured covariates that are associated with adherence, dependent confounding impacted by past treatment, and potential violation of assumptions). This study will guide practitioners and applied researchers to use the appropriate statistical method to address incomplete adherence in pragmatic trial settings for both the point and sustained treatment strategies.     

Relationship between boardroom independence and corporate performance: Reflections and perspectives

The perceived economic value of an independent boardroom configuration has progressively emerged as a matter of considerable importance in the academic and popular literature. The normative research paradigm has fundamentally been dominated by positivists who formulate inferential models populated by large sets of archival data. Regrettably, however, several decades of intense inquiries and passionate debates have invariably failed to ascertain (or dispel) the economic value of an independent boardroom configuration. The lingering boardroom independence–corporate performance saga has reached an impasse with no clear resolution in the foreseeable future. In this study, I provide a diagnosis (through the thematic analysis of semi-structured interviews) of why the economic viability of an independent boardroom remains an elusive phenomenon for positivist researchers. A central reason for the research impasse is attributed to ontological complexities intrinsic to the very nature of the corporation, compounded by multiple layers of methodological complexities. Ultimately, the disentanglement of this enigma would require a pivotal reconceptualization of the corporate governance research agenda.     

Multiple cases deletion measures in linear measurement error models

In this paper, we define a multiple cases deletion model (MCDM) in linear measurement error models (LMEMs). Then, by using the corrected score method of Nakamura (1990), the estimation of parameters is obtained. Furthermore, Based on MCDM, we provide computationally inexpensive deletion diagnostic tools for LMEMs. An example illustrates that our method is useful for diagnosing influential subsets of observations.     

Organisational Factors,Job Satisfaction and Intention to Leave Among Newly Qualified Social Workers in England

Satisfaction with different organisational elements and aspects of work contributes markedly to overall levels of job satisfaction and intention to leave. For newly qualified social workers (NQSWs), especially immediately after graduation, self-perceived competence and their confidence in their educational preparation are also important. This article reports on a longitudinal study following 280 social work students into social work employment in England using data collected as students and six months after graduation. We focus on their experiences as NQSWs, thus only including those working in social work jobs, reporting the relative importance of their satisfaction with different work elements, such as supervision and job engagement. These are used to construct a model of NQSWs' overall satisfaction and intentions of leaving their social work jobs. The model incorporates NQSWs' perceptions of how well their degree courses prepared them for their current social work jobs in addition to personal, organisational and specific role characteristics. Using statistical techniques of factor analysis and regression modelling we highlight the complexities of how job satisfaction is constructed and we argue that the data reveal the importance of team support and self-efficacy in relation to whether social workers are thinking about leaving their current social work jobs.