Theoretical frameworks to support research of health service innovation

Health service managers and policy makers are increasingly concerned about the sustainability of innovations implemented in health care settings. The increasing demand on health services requires that innovations are both effective and sustainable however research in this field is limited with multiple disciplines, approaches and paradigms influencing the field. These variations prevent a cohesive approach and therefore the accumulation of research findings in development of a body of knowledge. A theoretical framework serves to guide research, determine variables, influence data analysis and is central to the quest for ongoing knowledge development. If left unaddressed, health services research will continue in an ad hoc manner preventing full utilisation of outcomes, recommendations and knowledge for effective provision of health services. The purpose of this paper is to provide an integrative review of the literature and introduce a theoretical framework for health services innovation sustainability research based on integration and synthesis of the literature. Finally recommendations for operationalising and testing this theory will be presented.

Convergence in the ownership and governance of East Asian firms

In the past decade, policymakers in over 70 markets have introduced corporate governance codes or best practice guidelines. In East Asia, they have been introduced in Hong Kong in 1999 and 2006, Indonesia in 2000 and 2007, Malaysia in 2000 and 2007, the Philippines in 2002, Singapore iu 2001 and 2005, South Korea in 2003, Taiwan iu 2002 and Thailand iu 2006. The common focus of these codes is to encourage but not force companies to improve their corporate governance practices to a specified target level, e.g., board independence of 30%. Another commonality is that the guidelines apply to all listed companies regardless of their ownership structure or other characteristics.

Exploring the usefulness of structural–functional approaches to analyse governance of planning systems

Existing planning theories tend to be limited in their analytical scope and often fail to account for the impact of many interactions between the multitudes of stakeholders involved in strategic planning processes. Although many theorists rejected structural–functional approaches from the 1970s, this article argues that many of structural–functional concepts remain relevant and useful to planning practitioners. In fact, structural–functional approaches are highly useful and practical when used as a foundation for systemic analysis of real-world, multi-layered, complex planning systems to support evidence-based governance reform. Such approaches provide a logical and systematic approach to the analysis of the wider governance of strategic planning systems that is grounded in systems theory and complementary to existing theories of complexity and planning. While we do not propose its use as a grand theory of planning, this article discusses how structural–functional concepts and approaches might be applied to underpin a practical analysis of the complex decision-making arrangements that drive planning practice, and to provide the evidence needed to target reform of poorly performing arrangements.

On the efficacy of key corporate governance recommendations in mid-tier companies : window-dressing or value-adding?

This paper examins the relationship between firm performance and key board and audit committee variables in a sample of mid-tier listed Australian firms. Unlike the UK where the corporate governance Code specifically outlines special arrangements for companies outside the FTSE 350 index, the ASX Corporate Governance recommendations make no special provisions for mid-tier companies. Consequently, mid-tier Australian companies may be expending scarce resources in conforming with recommendations that are not value-creating.

Institutional investors, risk/return and corporate governance : practical lessons from the Global Financial Crisis

The global grown in institutional investors means that firms can no longer ignore their influence in capital markets. However, not all institutional investors have the same motives to influence the firms they invest in. Institution investors' ability to influence management depends on the size of their investment and whether they have any business relations with the firm. Using a sample of Australian firms from 2006 to 2008, our empirical results show that the proportion of a company's shares held by institutional investors is positively associated with firm governance ratings, risk and profitability. This study shows that a positive association between risk and return is associated with large active institutional ownership, which we interpret as shareholders with sufficient power to pressure management to increase short-term profits.

Convergence in European corporate governance : the audit committee concept

This paper analyses recent corporate governance codes issued by 20 countries for evidence of convergence in corporate governance systems in Europe. The analysis shows that there has been a degree of convergence towards an Anglo-Saxon model of corporate governance as the audit committee concept is widely accepted in countries with both unitary and two-tier governance systems. Further, the latest audit committee recommendations in countries that have issued several governance codes show a strengthening of the recommendations for an audit committee over time in line with the Anglo-Saxon audit committee concept and convergence with the debate in the US and UK on issues such as the independence and financial expertise of members. However, consistent with the literature on the convergence of European corporate governance systems, at an operational level there is limited consistency in the recommended structure and role of audit committees.

Renewing the Sustainable Energy Curriculum : Curriculum Frameworks and Guidance for Course Delivery

This guide is to support institutions in developing and teaching tertiary level programmes for sustainable energy professionals. Ongoing curriculum renewal is more difficult but vital for multidisciplinary courses preparing graduates to work in a specialised rapidly changing field. After more than 15 years of offering tertiary level “sustainable energy” qualifications in Australian Universities there was a clear need to assess how these courses are taught and develop curriculum frameworks to guide Universities designing/redesigning programs and courses to provide graduates with the relevant skills, knowledge and attributes (capabilities) seen by graduates and employers as required to work in this rapidly changing field. This guide presents the sustainable energy curriculum frameworks developed by the “Renewing the sustainable energy curriculum – providing internationally relevant skills for a carbon constrained economy” project, which was conducted over a two-and-a-quarter year period.

Volunteering and recent governance reforms

The regulatory reforms touching volunteer governs over the last 25 years are identified and analysed. BOth direct reforms such as the Australian Charities and Not-for-profits Commission's (ACNC) governance standards and society--wide indirect reforms to workplace health and safety, civil liability and deemed liability provisions are discussed in this chapter.

The ACNC's new governance rules

Australian charities have a new regulator in the form of the Australian Charities and Not-for-profits Commission (ACNC) which began operations in December 2012; and new governance rules which applied from 1 July 2013. While there is some uncertainty over the ACNC's future, the new legislative framework currently applies to approximately 58,000 charities which seek federal tax concessions and other benefits, and includes governance standards that apply across charitable organisational forms (company, trust and association) with some exceptions. The governance standards are a minimum benchmark that many charities will already meet, if they are companies or incorporated associations.

Reconsidering media economics: From orthodoxies to heterodoxies

This paper argues the case for closer attention to media economics on the part of media, communications and cultural studies researchers. It points to a plurality of approaches to media economics, that include the mainstream neoclassical school and critical political economy, but also new insights derived from perspectives that are less well-known outside of the economics discipline, such as new institutional economics and evolutionary economics. It applies these frameworks to current debates about the future of public service media (PSM), noting limitations to both ‘market failure’ and citizenship discourses, and identifying challenges relating to institutional governance, public policy and innovation as PSMs worldwide adapt to a digitally convergent media environment.

Corporate governance and bankruptcy risk

We examine how firm characteristics, particularly the degree of firm complexity and the firm’s need for specialty knowledge, affect the relationship between corporate governance and the risk of bankruptcy. We find that having larger boards reduces the risk of bankruptcy only for complex firms. Our results also suggest that the proportion of inside directors on the board is inversely associated with the risk of bankruptcy in firms that require more specialist knowledge, and that the reverse is true in technically unsophisticated firms. The results further reveal that the additional explanatory power from corporate governance variables becomes stronger as the time to bankruptcy is increased, implying that although corporate governance variables are important predictors, governance changes are likely to be too late to save a firm on the verge of bankruptcy.

Navigating theory, negotiating difference and beating the system : a critical how-to of media assistance evaluation

The wave of democratisation across Europe, Africa, Asia and Latin America in the early 1990s triggered an increase in donor funding to media assistance initiatives, primarily within good governance policy frameworks. However, few media assistance projects have managed to effectively evaluate the impacts of their work. This thesis explores how the impacts of Australian media assistance on social change and governance can be most effectively evaluated and understood. The findings of this research suggest the importance of early investment in participatory planning of evaluation designs, which are then periodically revisited. These evaluation designs should be based on a theoretically sound link between models of change, evaluative questions and methods.

Factors influencing robustness and effectiveness of conditional random fields in active learning frameworks

Active learning approaches reduce the annotation cost required by traditional supervised approaches to reach the same effectiveness by actively selecting informative instances during the learning phase. However, effectiveness and robustness of the learnt models are influenced by a number of factors. In this paper we investigate the factors that affect the effectiveness, more specifically in terms of stability and robustness, of active learning models built using conditional random fields (CRFs) for information extraction applications. Stability, defined as a small variation of performance when small variation of the training data or a small variation of the parameters occur, is a major issue for machine learning models, but even more so in the active learning framework which aims to minimise the amount of training data required. The factors we investigate are a) the choice of incremental vs. standard active learning, b) the feature set used as a representation of the text (i.e., morphological features, syntactic features, or semantic features) and c) Gaussian prior variance as one of the important CRFs parameters. Our empirical findings show that incremental learning and the Gaussian prior variance lead to more stable and robust models across iterations. Our study also demonstrates that orthographical, morphological and contextual features as a group of basic features play an important role in learning effective models across all iterations.