International network for food and obesity/NCD research, monitoring and action support: benchmarking food environments towards healthier diets

Background and objectives: 

Creating healthy food environments through global benchmarking of government nutrition policies and food industry practices

Unhealthy processed food products are increasingly dominating over healthy foods, making food and nutrition environments unhealthier. Development and implementation of strong government healthy food policies is currently being circumvented in many countries by powerful food industry lobbying. In order to increase accountability of both governments and the private sector for their actions, and improve the healthiness of food environments, INFORMAS (the International Network for Food and Obesity/non-communicable diseases (NCDs) Research, Monitoring and Action Support) has recently been founded to systematically and comprehensively monitor food environments and policies in countries of varying size and income. This will enable INFORMAS to rank both governments and private sector companies globally according to their actions on food environments. Identification of those countries which have the healthiest food and nutrition policies and using them as international benchmarks against which national progress towards best practice can be assessed, should support reductions in global obesity and diet-related NCDs.

International ‘benchmarking’ studies and the identification of ‘education best practice’: a focus on classroom teachers and their practices

 Abstract:The disproportionate focus on classroom teachers and their instruction—teacher effectiveness—in order to confront and address under-achievement and disadvantage appears as a contemporary education policy theme in Australia. Phrases such as ‘high performing schooling systems’, ‘the best teachers’, ‘high performing countries’, ‘quality teaching’, ‘under-performing schools’, ‘the right change’, ‘operationally feasible’, ‘targeting of reforms’, ‘degrees of under-performance’, ‘educational drivers’, ‘teacher quality and improved teaching’ and ‘external standards and governance’ are constantly mentioned and given continual attention and prominence by policy-makers. The paper questions and critiques a policy-making direction that uses teacher effectiveness research to force and steer reform in education. The distinctive and narrow concern with teacher effectiveness works to the specific exclusion of breadth and scope concerning debate about broader education related issues and questions, for example, matters of student achievement, exclusion and disadvantage. This article uses a qualitative research approach informed by critical theory to examine three influential private sector reports on education and schooling: The McKinsey Report ( 2007 )—How the world’s best-performing school systems come out on top, The Nous Group ( 2011 )—Schooling Challenges and Opportunities and The Grattan Institute ( 2012 )—Catching up: Learning from the best school systems in East Asia. The article subjects the reports to close critical scrutiny and examination and finds that classroom teachers are positioned so that their specific and explicit instruction becomes the differentiating ‘variable’ in matters of student achievement and success.

Towards global benchmarking of food environments and policies to reduce obesity and diet-related non-communicable diseases : design and methods for nation-wide surveys

Introduction: 

The model of Chinese ecomuseums -- benchmarking, evaluation and a comparison with Australian open-air museums

This thesis is a comparative study of Chinese and Australian ecomuseums in terms of their governance & strategies, local participation & empowerment, and heritage interpretation & conservation. It concluded their difference and critical problems. In the end, a model is built up towards a better management of Chinese ecomuseum.

Benchmarking mohair production in Australia

This report provides factual evidence on the financial and production performance of real mohair farms for the first time. This process engaged mohair farmers in detailed record keeping and measurements of their animals. The project involved farm business economists in comparative financial studies of mohair and wool enterprises. Exhaustive statistical analyses have been used to quantify the changes in key production attributes of mohair enterprises. This work is important as it will guide mohair producers and the industry to focus on key performance indicators of profit and production. The outcomes provide objective evidence that can be used to attract future investment into mohair enterprises.

Dynamic on-the-fly minimum cost benchmarking for storing generated scientific datasets in the cloud

Massive computation power and storage capacity of cloud computing systems enable users to either store large generated scientific datasets in the cloud or delete and then regenerate them whenever reused. Due to the pay-as-you-go model, the more datasets we store, the more storage cost we need to pay, alternatively, we can delete some generated datasets to save the storage cost but more computation cost is incurred for regeneration whenever the datasets are reused. Hence, there should exist a trade-off between computation and storage in the cloud, where different storage strategies lead to different total costs. The minimum cost, which reflects the best trade-off, is an important benchmark for evaluating the cost-effectiveness of different storage strategies. However, the current benchmarking approach is neither efficient nor practical to be applied on the fly at runtime. In this paper, we propose a novel Partitioned Solution Space based approach with efficient algorithms for dynamic yet practical on-the-fly minimum cost benchmarking of storing generated datasets in the cloud. In this approach, we pre-calculate all the possible minimum cost storage strategies and save them in different partitioned solution spaces. The minimum cost storage strategy represents the minimum cost benchmark, and whenever the datasets storage cost changes at runtime in the cloud (e.g. new datasets are generated and/or existing datasets' usage frequencies are changed), our algorithms can efficiently retrieve the current minimum cost storage strategy from the partitioned solution space and update the benchmark. By dynamically keeping the benchmark updated, our approach can be practically utilised on the fly at runtime in the cloud, based on which the minimum cost benchmark can be either proactively reported or instantly responded upon request. Case studies and experimental results based on Amazon cloud show the efficiency, scalability and practicality of our approach.

Implementing the international benchmarking labour productivity theoretical model

Purpose – Building upon the results of a critical review of previous studies, the purpose of this paper is to present a framework to enhance the reliability of the theoretical model for international benchmarking of labour productivity (TMIBLP) method for construction project activities. The next part of the paper presents the results of implementing the proposed framework for construction activities in the Iranian construction industry. Design/methodology/approach – This paper draws upon a critical review of the literature to highlight the drawbacks of the previous studies concerning implementing TMIBLP within the construction industry. Identifying these shortcomings, the authors propose a framework for construction projects, which presents the procedure for deploying TMIBLP for construction activities in a reliable manner. The final section of the paper demonstrates the empirical implementation of the proposed framework within the Iranian construction industry. Findings – The primary contributions of the paper include: identifying the drawbacks of previous studies within the construction context, the framework that would lead construction managers towards more reliable implementation of benchmarking for construction projects, and determining the baseline of erecting steel structures in a developing country. Practical implications – A practical implementation of the TMIBLP method was presented to address the lack of research in Iran and to show the feasibility of using the framework developed. The authors investigated the daily labour productivity for the activity of structural steel erection for six projects in Tehran in order to determine the values of the baseline productivity for each project. Accordingly, the disruption index, performance ratio and project management index as the project benchmarks were calculated for all six projects. Originality/value – Underlining the necessity of implementing methods such as TMIBLP, this study outlines the outcomes of the first study on the benchmarking of construction activities deploying the proposed framework and using the data on erecting steel structures from six construction projects in Iran. The discussions provide guidelines for construction project managers regarding benchmarking labour productivity. The paper concludes with suggestions for future research opportunities.