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The purpose of this study is to investigate the influence of macro-level regulatory systems on alcohol management for community sport organisations (CSOs). It examines how alcohol regulations translate into meso-level management actions and interactions that impact alcohol consumption in community sport clubs.

Management of alcohol was explored through the holistic lens of macro, meso, and micro-levels of influence. Sixteen semi-structured interviews were conducted with Australian club administrators from community sports clubs.

Thematic analysis revealed macro-level influences on alcohol management in CSOs, with government regulations and the state sport associations being the most influential. Challenges arise in alcohol policy implementation when sport administrators do not prioritise alcohol consumption as a problem to be addressed, or where a conflict of interest arises between alcohol revenue generation and clubs positioning as health promoting environments.

Targeting club administrators’ attitudes towards alcohol as a benign influence and revising alcohol management practices are recommended as priority strategies to enhance the implementation and promotion of responsible alcohol management in sport clubs. Affiliate state sport associations were also identified as influential settings to provide administrative or strategic direction to CSOs, which would reduce the resources required by volunteers and standardise alcohol management practices across sports clubs.

The prevailing alcohol research focuses on the consumption behaviour of individual members and sports players. The study findings are novel and important as they explore the macro-level influences that administrators experience when enacting and policing alcohol management strategies in sports clubs. To-date, administrators of CSOs have not been included in many studies about alcohol consumption regulation; therefore, the findings provide an original perspective on alcohol regulation and demonstrate how CSOs operationalise alcohol management in club settings. The original insights from this study informed the conceptualisation of a multilevel sport system framework, which can be applied to guide future governance of alcohol consumption in sport settings.

This chapter uses an application to explore the utility of Bayesian quantile regression (BQR) methods in producing density nowcasts. Our quantile regression modeling strategy is designed to reflect important nowcasting features, namely the use of mixed-frequency data, the ragged-edge, and large numbers of indicators (big data). An unrestricted mixed data sampling strategy within a BQR is used to accommodate a large mixed-frequency data set when nowcasting; the authors consider various shrinkage priors to avoid parameter proliferation. In an application to euro area GDP growth, using over 100 mixed-frequency indicators, the authors find that the quantile regression approach produces accurate density nowcasts including over recessionary periods when global-local shrinkage priors are used.

Buildings and their use is a complex process from design to occupation. Buildings produce huge volumes of data such as building information modelling (BIM), sensor (e.g. from building management systems), occupant and building maintenance data. These data can be spread across multiple disconnected systems in numerous formats, making their combined analysis difficult. The purpose of this paper is to bring these sources of data together, to provide a more complete account of a building and, consequently, a more comprehensive basis for understanding and managing its performance.

Building data from a sample of newly constructed housing units were analysed, several properties were identified for the study and sensors deployed. A sensor agnostic platform for visualising real-time building performance data was developed.

Data sources from both sensor data and qualitative questionnaire were analysed and a matrix of elements affecting building performance in areas such as energy use, comfort use, integration with technology was presented. In addition, a prototype sensor visualisation platform was designed to connect in-use performance data to BIM.

This work presents initial findings from a post occupancy evaluation utilising sensor data. The work attempts to address the issues of BIM in-use scenarios for housing sector. A prototype was developed which can be fully developed and replicated to wider housing projects. The findings can better address how indoor thermal comfort parameters can be used to improve housing stock and even address elements such as machine learning for better buildings.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

The purpose of this paper is to assess the usefulness of nutrition labels in Thailand during nutrition transition from traditional to modern diets that increase salt, sugar, and calorie intake and to note socio-demographic interactions and associations with consumption of transitional processed foods.

The authors studied 42,750 distance learning Open University adults aged 23-96 years in 2013 residing nationwide and participating in an ongoing community-based prospective cohort study. The authors used multivariable logistic regression to relate nutrition label experiences (“read”, “good understand”, “frequent use”), socio-demographic factors, and consumption of four transitional foods. These foods included “unhealthy” instant foods, carbonated soft drinks, and sweet drinks, or “healthy” milk.

Overall, two-thirds reported good understanding and frequent use of nutrition labels. Unhealthy transition-indicator processed foods were frequently consumed: instant foods (7 per cent), (carbonated) soft drinks (15 per cent), and sweet drinks (41 per cent). Frequent users of nutrition labels (e.g. females, older persons, professionals) were less likely to consume unhealthy indicator foods. Those with the most positive overall nutrition label experience (“read” + “good understanding” + “frequent use”) had the best indicator food profiles: instant foods (odds ratio (OR) 0.63; 95%CI, 0.56-0.70); soft drinks (OR 0.56; 95%CI, 0.52-0.61); sweet drinks (OR 0.79; 95%CI, 0.74-0.85); milk (OR 1.87; 95%CI, 1.74-2.00).

Knowledge protected – those with most nutrition label experience were least likely to consume unhealthy foods. Results support government regulated nutrition labels, expanding to include sweet drinks. The study is remarkable for its large size and nationwide footprint. Study subjects were educated, represent Thais of the future, and show high awareness of transition-indicator foods.

The purpose of this paper is to evaluate competing explanations for the greater prevalence of informal employment in some countries rather than others. These variously explain informal employment to be a result of either economic under-development and the lack of modernisation of governance (“modernisation” theory), higher taxes and too much state intervention (“neo-liberal” theory) or inadequate government intervention to protect workers from poverty (“political economy” theory).

To do this, an International Labour Organisation data base produced in 2018 on the prevalence of informal employment in 112 countries (comprising 90 per cent of the global workforce) is analysed, and macro-level economic and social conditions reflecting each of these theories tested using bivariate regressions.

The prevalence of informal employment ranges from 94.6 per cent of total employment in Burkina Faso to 1.2 per cent in Luxembourg. Evaluating the validity of the competing theories, neo-liberal theory is refuted, and a call made to synthesise the modernisation and political economy perspectives in a new “neo-modernisation” theory that tentatively associates the greater prevalence of informal employment with lower economic under-development, greater levels of public sector corruption, smaller government and lower levels of state intervention to protect workers from poverty.

This paper tentatively reveals the structural economic and social conditions that need to be addressed globally to reduce informal employment.

This is the first paper to report the results of a harmonised data set based on common criteria to measure the varying prevalence of informal employment globally (across 112 countries representing 90 per cent of global employment) in order to determine the structural economic and social conditions associated with higher levels of informal employment.