Informal mentoring relationships and the career processes of public accountants

Research has shown that informal mentoring relationships benefit the protégé, mentor and employing organisation. As such they have been of interest to public accounting firms. The functioning of these relationships in Big Eight/Big Five accounting firms has been investigated in the USA and more recently in Ireland. The career outcome of most interest has been turnover intentions. This paper reports the results of a questionnaire study of mentoring relationships in the Australian state of Queensland. The receipt of mentoring support by accountants is found to be associated with not only lower turnover intentions, but also higher job satisfaction, and lower intentions of female accountants to seek part-time employment. The impact of the organisational context in which these relationships are initiated and cultivated is also investigated. The size of the accounting firm and the national culture of the country in which the firm operates, appear to have some bearing on mentoring experiences.

Minding the money: A growing responsibility for informal carers

Managing the assets of older people is a common and potentially complex task of informal care with legal, financial, cultural, political and family dimensions. Older people are increasingly recognised -as having significant assets, but the family, the state, service providers and the market have competing interests in their use. Increased policy interest in self-provision and user-charges for services underline the importance of asset management in protecting the current and future health, care and accommodation choices of older people. Although 'minding the money' has generally been included as an informal care-giving task, there is limited recognition of either its growing importance and complexity or of care-givers' involvement. The focus of both policy and practice have been primarily on substitute decision-making and abuse. This paper reports an Australian national survey and semi-structured interviews that have explored the prevalence of non-professional involvement in asset management. The findings reveal the nature and extent of involvement, the tasks that informal carers take on, the management processes that they use, and that 'minding the money' is a common informal care task and mostly undertaken in the private sphere using some risky practices. Assisting informal care-givers with asset management and protecting older people from financial risks and abuse require various strategic policy and practice responses that extend beyond substitute decision-making legislation. Policies and programmes are required: to increase the awareness of the tasks, tensions and practices surrounding asset management; to improve the financial literacy of older people, their informal care-givers and service providers; to ensure access to information, advice and support services; and to develop better accountability practices.

Doing it from your heart: The role of older women as informal volunteers

This paper explores the contributions made by older women to the Community as informal volunteers. It argues that ageing policy is not gender neutral and tends to ignore the contributions made by Women Outside paid work. As well as being ignored in policy, women's unpaid roles have been denigrated by some feminist commentators, who suggest that these roles Subordinate the position of women. The aim of the present paper is to explore the lived experiences of older women in relation to their informal volunteer roles, using role identity theory as a framework. The study utilizes data from a qualitative study Using focus group methodology. Findings demonstrate. that informal volunteering contributes to the women's identity and gives their lives meaning. These findings suggest that a more positive policy framework around ageing is needed to ensure that the worth of these contributions is recognised.

An MDA approach towards integrating formal and informal modeling languages

This paper shows how formal and informal modeling languages can be cooperatively used in the MDA framework, and how transformations between models in these languages can be achieved using an MDA development environment. The integrated approach also provides an effective V&V technique for the MDA.

Multilevel modelling for inference of genetic regulatory networks

Time-course experiments with microarrays are often used to study dynamic biological systems and genetic regulatory networks (GRNs) that model how genes influence each other in cell-level development of organisms. The inference for GRNs provides important insights into the fundamental biological processes such as growth and is useful in disease diagnosis and genomic drug design. Due to the experimental design, multilevel data hierarchies are often present in time-course gene expression data. Most existing methods, however, ignore the dependency of the expression measurements over time and the correlation among gene expression profiles. Such independence assumptions violate regulatory interactions and can result in overlooking certain important subject effects and lead to spurious inference for regulatory networks or mechanisms. In this paper, a multilevel mixed-effects model is adopted to incorporate data hierarchies in the analysis of time-course data, where temporal and subject effects are both assumed to be random. The method starts with the clustering of genes by fitting the mixture model within the multilevel random-effects model framework using the expectation-maximization (EM) algorithm. The network of regulatory interactions is then determined by searching for regulatory control elements (activators and inhibitors) shared by the clusters of co-expressed genes, based on a time-lagged correlation coefficients measurement. The method is applied to two real time-course datasets from the budding yeast (Saccharomyces cerevisiae) genome. It is shown that the proposed method provides clusters of cell-cycle regulated genes that are supported by existing gene function annotations, and hence enables inference on regulatory interactions for the genetic network.