The restructuring of WA human services and its implications for the not‐for‐profit sector

Western Australia provides an interesting case study of the outsourcing of human services to the not‐for‐profit (NfP) sector. This article presents and discusses some of the key themes that emerged from a recently completed research project examining one large NfP in Western Australia. Key themes included the recruitment and retention of staff linked to pay and changing funding arrangements, and the sector becoming increasingly corporatised in outlook and goal orientaiton. Despite evidence that the shifting policy and funding environment within the NfP sector has had some negative consequences, the research findings highlight a degree of agency within which organisations can resist or counterbalance these changes. Efforts to avoid this trend, however, are reliant upon a number of factors; for example, a strong commitment to vision and mission supported by skilled leadership and adequate resourcing. Significantly, these factors are unlikely to be readily available, particularly for smaller NfPs. This discrepancy in organisational capacity is set to become more conspicuous with the potential introduction of ‘Big Society’ policies derived from the United Kingdom, and funding cuts proposed by the Coalition government.     

Decision Makers as Statisticians: Diversity,Ambiguity, and Learning

I study individuals who use frequentist models to draw uniform inferences from independent and identically distributed data. The main contribution of this paper is to show that distinct models may be consistent with empirical evidence, even in the limit when data increases without bound. Decision makers may then hold different beliefs and interpret their environment differently even though they know each other's model and base their inferences on the same evidence. The behavior modeled here is that of rational individuals confronting an environment in which learning is hard, rather than individuals beset by cognitive limitations or behavioral biases.     

Assessing Schools’ Academic Performance Using a Belief Structure

A lot of attention has been given to education as it is the most practical way of improving social mobility. In order to be progressive and resilient, there has to be an overall transformation of society as evidenced in the annual budget allocations which has educational implications to it. Therefore, schools will come to term that they are under the watching eyes of interested parties who want them to perform academically. Thus, this will lead the stakeholders of education to make assessment and comparison between schools. However, the process of assessing schools is not an easy task as it involves many attributes. The problem of aggregating a large number of attributes will be a challenge if we use the traditional Multi Criteria Decision Making (MCDM) method. Hence, in this paper an innovative approach called Evidential Reasoning (ER) will be used to assess school performance in a multilevel or hierarchical setting which involved indirect measurement of quality by using standardized examination results, rather than directly measuring the quality of the processes unfolding within the schools. The approach is different from most conventional decision making modeling methods in that it employs a belief structure to represent an assessment as a distribution. By using this method, we are able to assess and rank the schools involved by giving an appropriate weight and merit point for each attribute and grade, respectively. For easy comprehension of the method, a numerical example was given on how to utilize the proposed method in order to obtain a single performance figure for school ranking purposes. Finally, by comparing the school ranking reveals that there is little similarity with the normal practice currently adopted.     

Knowledge retention in ERP implementations: the context of UK SMEs

Abstract

Knowledge retention (k-retention) is vital for various enterprise resource planning (ERP) implementations in small and medium-sized enterprises (SMEs), though it is a highly demanding and challenging task. The aim of this paper is to investigate different types of approaches to k-retention and factors influencing k-retention in SMEs. Our study adopts a grounded theory approach with cases based on 12 ERP implementations in UK SMEs. We analyze our data using thematic analysis. The findings reveal specific elements that support the k-retention of ERP package knowledge and business process knowledge. These elements are: k-retention tools, documentation, human capital and the understanding of k-retention challenges. In addition to insights from these aspects, our study reveals two additional factors (project management and organizational culture) that influence ERP package k-retention and business process k-retention. Based on these findings, we develop an ERP k-retention (EKR) framework that can be utilized by SMEs which are considering implementing ERP systems, to facilitate knowledge retention during implementation.     

Inverse Adaptive Cluster Sampling with Unequal Selection Probabilities: Case Studies on Crab Holes and Arsenic Pollution

Adaptive cluster sampling is an efficient method of estimating the parameters of rare and clustered populations. The method mimics how biologists would like to collect data in the field by targeting survey effort to localised areas where the rare population occurs. Another popular sampling design is inverse sampling. Inverse sampling was developed so as to be able to obtain a sample of rare events having a predetermined size. Ideally, in inverse sampling, the resultant sample set will be sufficiently large to ensure reliable estimation of population parameters. In an effort to combine the good properties of these two designs, adaptive cluster sampling and inverse sampling, we introduce inverse adaptive cluster sampling with unequal selection probabilities. We develop an unbiased estimator of the population total that is applicable to data obtained from such designs. We also develop numerical approximations to this estimator. The efficiency of the estimators that we introduce is investigated through simulation studies based on two real populations: crabs in Al Khor, Qatar and arsenic pollution in Kurdistan, Iran. The simulation results show that our estimators are efficient.     

Planners’ Perspectives on Governing and Producing Sustainable Cities in Malaysia

Since the mid-1990s, sustainable principles have been embedded in Malaysia’s development plans. The assumption has been that policies, programs, and plans that promote good communities—requiring a mix of housing types, uses, and densities—will produce sustainability. This study examines planning policies and interviews data with local planners to understand the challenges in interpreting and implementing a sustainability agenda in practice. The findings of the study suggest that although planners use various strategies and mechanisms to achieve sustainable cities, problems and barriers limit efforts to produce sustainable cities. Planners have reached a consensus on the need to improve current practice in producing sustainable cities and find effective solutions to deliver good governance practices. The weak commitment of different agencies and leadership, and limited staff resources and unnecessary political intervention, mean that planners in Malaysia face increasing challenges when implementing sustainable cities.

     

Participation of seniors in the Argentinian labour market: An option value model*

The aim of this article is to define the factors which determine seniors' decisions to continue to participate in the labour market in Argentina. An option value model is developed. This model is used to produce estimates based on micro‐data drawn from household surveys. These indicate the relative importance of the impact of conditions governing eligibility for benefits on decisions to remain actively employed. Work history is found to be the main factor in such decisions. Inadequacy of social security benefits and accumulated human capital also create incentives for economic participation in old age. On the basis of these findings, compensatory policy adjustments, to improve coverage, increase benefit levels and improve employment conditions for seniors, are proposed.     

The matrix affects carabid beetle assemblages in linear urban ruderal habitats

Matrix contrasts affect communities in patchy landscapes by influencing resources, abiotic conditions and spill-over effects. However, current knowledge is significantly biased towards forest and rural communities. We examined the effects of three different matrix types, i.e., low, intermediate and high contrasts, on carabid beetle assemblages at urban railway verges in two climatic regions. Study sites were located in Finland and in Slovenia. Using pitfall trapping, non-metric multidimensional scaling and generalised linear mixed models, we investigated carabid assemblages at railway verges and in differently contrasting adjacent matrices, i.e. built-up, grassland and forest. The matrix influenced carabid assemblages at railway verges. Assemblages grouped with adjacent matrix types, although some Finnish railway assemblages included a characteristic set of open dry habitat species. Abundances of generalist species at railway verges were higher when next to grassland or forest than urban matrices. Habitat specialists responded negatively to high contrast matrices, resulting in lower abundances of open habitat specialists in railway verges when next to forests and nearly no spill-over of forest specialists into railway verges. These patterns were consistent in both countries, i.e. irrespective of climatic region. Our study emphasises effects of the adjacent matrix and matrix contrasts on communities in linear open habitat patches in cities. Knowledge on matrix effects in patchy landscapes, such as urban environments, is essential in understanding the distribution and composition of communities in discrete patches. This knowledge can be used in conservation planning. If habitat specialists are negatively affected by high matrix contrasts, high contrasts should be avoided.     

An Overview of a Hospital-Based Child Advocacy Center’s Experience from Turkey

The purpose of the present study was to investigate sociodemographic variables, features of sexual abuse (SA), and first psychiatric evaluation results of abused children, and to analyze the relation of the psychiatric evaluation results to the children’s age and gender, type and duration of abuse, abuser–child relationship, and marital status of the children’s parents, at one of the most experienced Child Advocacy Centers (CACs) in Turkey. All data were obtained from reports prepared by child and adolescent psychiatrists. The sample of this study consists of 436 child sexual abuse (CSA) cases who admitted ?zmir CAC between April 2014 and November 2015. The statistical analyses yielded significant relations between psychiatric symptoms and chronic abuse, the gender of the children, and type of abuse. Suicidal ideation and behaviors due to sexual abuse (SA) were also examined. According to our results, it is fair to say that children exposed to SA benefit from immediate psychiatric help because of their vulnerability for psychiatric disorders due to abuse. In this context, CACs are very important multidisciplinary establishments to determine children’s multiple needs to ease their trauma with collaborative teamwork. Psychiatric evaluation should be part of this multidisciplinary context.     

Hemorrhoids during pregnancy: Sitz bath vs. ano-rectal cream: A comparative prospective study of two conservative treatment protocols

Background

Hemorrhoids are a very common ano-rectal condition affecting pregnant females worldwide and representing a major medical and socioeconomic problem. In this paper, we aim to compare the effectiveness of the Sitz bath method with an ano-rectal cream as part of a conservative management protocol to treat hemorrhoids among pregnant Saudi Arabian females.