The impact of a suicide prevention strategy on reducing the economic cost of suicide in the New South Wales construction industry

BACKGROUND: Little research has been conducted into the cost and prevention of self-harm in the workplace. AIMS: To quantify the economic cost of self-harm and suicide among New South Wales (NSW) construction industry (CI) workers and to examine the potential economic impact of implementing Mates in Construction (MIC). METHOD: Direct and indirect costs were estimated. Effectiveness was measured using the relative risk ratio (RRR). In Queensland (QLD), relative suicide risks were estimated for 5-year periods before and after the commencement of MIC. For NSW, the difference between the expected (i.e., using NSW pre-MIC [2008-2012] suicide risk) and counterfactual suicide cases (i.e., applying QLD RRR) provided an estimate of potential suicide cases averted in the post-MIC period (2013-2017). Results were adjusted using the average uptake (i.e., 9.4%) of MIC activities in QLD. Economic savings from averted cases were compared with the cost of implementing MIC. RESULTS: The cost of self-harm and suicide in the NSW CI was AU $527 million in 2010. MIC could potentially avert 0.4 suicides, 1.01 full incapacity cases, and 4.92 short absences, generating annual savings of AU $3.66 million. For every AU $1 invested, the economic return is approximately AU $4.6. CONCLUSION: MIC represents a positive economic investment in workplace safety.

Systematic examination of publicly-available information reveals the diverse and extensive corporate political activity of the food industry in Australia

BACKGROUND: The political influence of the food industry, referred to as corporate political activity (CPA), represents a potential barrier to the development and implementation of effective public health policies for non-communicable diseases prevention. This paper reports on the feasibility and limitations of using publicly-available information to identify and monitor the CPA of the food industry in Australia. METHODS: A systematic search was conducted for information from food industry, government and other publicly-available data sources in Australia. Data was collected in relation to five key food industry actors: the Australian Food and Grocery Council; Coca Cola; McDonald's; Nestle; and Woolworths, for the period January 2012 to February 2015. Data analysis was guided by an existing framework for classifying CPA strategies of the food industry. RESULTS: The selected food industry actors used multiple CPA strategies, with 'information and messaging' and 'constituency building' strategies most prominent. CONCLUSIONS: The systematic analysis of publicly-available information over a limited period was able to identify diverse and extensive CPA strategies of the food industry in Australia. This approach can contribute to accountability mechanisms for NCD prevention.

Competition, oligopoly and technological change in the construction industry: the Argentine case

Includes bibliography

Cost Management Practices and Strategic Perspectives: a study in the construction industry of the State of Parana

The purpose of this paper is to investigate the cost management practices of building industry companies of Parana that follow the typology of Porter's strategies. The sample comprises member companies of the Association of Construction Industries of the State of Parana (PR-SINDUSCON) operating in the segment of residential buildings. The data were collected by means of questionnaires sent to 317 SINDUSCON members. 69 were returned and 54 used for our research. Exploratory Factorial Analysis of the data allowed us to identify two groups of cost management practices. Analyses suggest equality between the adopted cost management practices and the Cost Control Planning (CCP) practices among the companies of the Group 1, regardless of the generic strategy adopted. The companies of the Group 2 that adopted the differentiation strategy seem to use mainly the ACR cost management practice. Our findings differ from those obtained by Chenhall insofar as companies that adopt low cost strategies tend to use managerial controls focused on cost control and rigid budgetary controls.

Implementation Feasibility of a Digital Nervous System for the Construction Industry: For Efficient and Effective Information Management across the Project Lifecycle

The construction industry has long been considered as highly fragmented and non-collaborative industry. This fragmentation sprouted from complex and unstructured traditional coordination processes and information exchanges amongst all parties involved in a construction project. This nature coupled with risk and uncertainty has pushed clients and their supply chain to search for new ways of improving their business process to deliver better quality and high performing product. This research will closely investigate the need to implement a Digital Nervous System (DNS), analogous to a biological nervous system, on the flow and management of digital information across the project lifecycle. This will be through direct examination of the key processes and information produced in a construction project and how a DNS can provide a well-integrated flow of digital information throughout the project lifecycle. This research will also investigate how a DNS can create a tight digital feedback loop that enables the organisation to sense, react and adapt to changing project conditions. A Digital Nervous System is a digital infrastructure that provides a well-integrated flow of digital information to the right part of the organisation at the right time. It provides the organisation with the relevant and up-to-date information it needs, for critical project issues, to aid in near real-time decision-making. Previous literature review and survey questionnaires were used in this research to collect and analyse data about information management problems of the industry – e.g. disruption and discontinuity of digital information flow due to interoperability issues, disintegration/fragmentation of the adopted digital solutions and paper-based transactions. Results analysis revealed efficient and effective information management requires the creation and implementation of a DNS.

Intelligent Decision-Making System Frameworks for a Digital Plan of Work: A Theoretical Investigation for the Construction Industry

The construction industry is characterised by fragmentation and suffers from lack of collaboration, often adopting adversarial working practices to achieve deliverables. For the UK Government and construction industry, BIM is a game changer aiming to rectify this fragmentation and promote collaboration. However it has become clear that there is an essential need to have better controls and definitions of both data deliverables and data classification. Traditional methods and techniques for collating and inputting data have shown to be time consuming and provide little to improve or add value to the overall task of improving deliverables. Hence arose the need in the industry to develop a Digital Plan of Work (DPoW) toolkit that would aid the decision making process, providing the required control over the project workflows and data deliverables, and enabling better collaboration through transparency of need and delivery. The specification for the existing Digital Plan of Work (DPoW) was to be, an industry standard method of describing geometric, requirements and data deliveries at key stages of the project cycle, with the addition of a structured and standardised information classification system. However surveys and interviews conducted within this research indicate that the current DPoW resembles a digitised version of the pre-existing plans of work and does not push towards the data enriched decision-making abilities that advancements in technology now offer. A Digital Framework is not simply the digitisation of current or historic standard methods and procedures, it is a new intelligent driven digital system that uses new tools, processes, procedures and work flows to eradicate waste and increase efficiency. In addition to reporting on conducted surveys above, this research paper will present a theoretical investigation into usage of Intelligent Decision Support Systems within a digital plan of work framework. Furthermore this paper will present findings on the suitability to utilise advancements in intelligent decision-making system frameworks and Artificial Intelligence for a UK BIM Framework. This should form the foundations of decision-making for projects implemented at BIM level 2. The gap identified in this paper is that the current digital toolkit does not incorporate the intelligent characteristics available in other industries through advancements in technology and collation of vast amounts of data that a digital plan of work framework could have access to and begin to develop, learn and adapt for decision-making through the live interaction of project stakeholders.

Data pertinent to the establishment of minimum wage rates under the Fair labor standards act for employment newly covered by the amendments of 1966 in the construction industry in Puerto Rico /

"WH67-641."

Occupational exposure to cadmium in the construction industry.

Shipping list no.: 93-0344-P.

Data pertinent to the review of minimum wage rates under the Fair Labor Standards Act in the construction industry in Puerto Rico : Part 1, General information /

"September 1968."

The construction, technical evaluation, and fictional determination of an aluminum storm sewer system /

Mode of access: Internet.

Fifteenth census of the United States: 1930. Construction industry, 1929. State series ... Statistics for state, counties and principal cities.

At head of title: U.S. Department of Commerce. R. P. Lamont, secretary. Bureau of the Census, W.M. Steuart, director.

Census of business: 1935. Construction industry...

Lithographed.