Why perform pro-social behaviours? Understanding the key sources of perceived value in preventative health services

In maintaining quality of life, preventative health is an important area in which the performance of pro-social behaviours provides benefits to individuals who perform them as well as society. The establishment of the Preventative Health Taskforce in Australia demonstrates the significance of preventative health and aims to provide governments and health providers with evidence-based advice on preventative health issues (Preventative Health Taskforce, 2009). As preventative health behaviours are voluntary, for consumers to sustain this behaviour there needs to be a value proposition (Dann, 2008; Kotler and Lee, 2008). Customer value has been shown to influence repeat behaviour (McDougall and Levesque, 2000), word-of-mouth (Hartline and Jones, 1999), and attitudes (Dick and Basu, 2008). However to date there is little research that investigates the source of value for preventative health services. This qualitative study explores and identifies three categories of sources that influence four dimensions of value – functional, emotional, social and altruistic (Holbrook 2006). A conceptual model containing five propositions outlining these relationships is presented. This study provides evidence-based research that reveals sources of value that influence individuals’ decisions to perform pro-social behaviours in the long-term through their use of preventative health services. This research uses BreastScreen Queensland (BSQ), a cancer screening service, as the service context.

Structural damage identification with noise polluted Frequency Response Functions (FRFs)

Damage detection in structures has become increasingly important in recent years. While a number of damage detection and localization methods have been proposed, very few attempts have been made to explore the structure damage with noise polluted data which is unavoidable effect in real world. The measurement data are contaminated by noise because of test environment as well as electronic devices and this noise tend to give error results with structural damage identification methods. Therefore it is important to investigate a method which can perform better with noise polluted data. This paper introduces a new damage index using principal component analysis (PCA) for damage detection of building structures being able to accept noise polluted frequency response functions (FRFs) as input. The FRF data are obtained from the function datagen of MATLAB program which is available on the web site of the IASC-ASCE (International Association for Structural Control– American Society of Civil Engineers) Structural Health Monitoring (SHM) Task Group. The proposed method involves a five-stage process: calculation of FRFs, calculation of damage index values using proposed algorithm, development of the artificial neural networks and introducing damage indices as input parameters and damage detection of the structure. This paper briefly describes the methodology and the results obtained in detecting damage in all six cases of the benchmark study with different noise levels. The proposed method is applied to a benchmark problem sponsored by the IASC-ASCE Task Group on Structural Health Monitoring, which was developed in order to facilitate the comparison of various damage identification methods. The illustrated results show that the PCA-based algorithm is effective for structural health monitoring with noise polluted FRFs which is of common occurrence when dealing with industrial structures.

Identification of selection criteria for operational variations of the design-build system : a delphi study in China

The design-build (DB) system has been demonstrated as an effective delivery method and has gained popularity worldwide. However it is observed that a number of operational variations of DB system have emerged since the last decade to cater for different client’s requirements. After the client decides to procure his project through the DB system, he still has to choose an appropriate configuration to deliver their projects optimally. However, there is little research on the selection of DB operational variations. One of the main reasons for this is the lack of evaluation criteria for determining the appropriateness of each operational variation. To obtain such criteria, a three-round Delphi survey has been conducted with 20 construction experts in the People’s Republic of China (PRC). Seven top selection criteria were identified. These are: (1) availability of competent design-builders; (2) client’s capabilities; (3) project complexity; (4) client’s control of project; (5) early commencement & short duration; (6) reduced responsibility or involvement; and (7) clearly defined end user’s requirements. These selection criteria were found to have a statistically significant agreement. These findings may furnish various stakeholders, DB clients in particular, with better insight to understand and compare the different operational variations of the DB system.

Identification of key competences of design-builders in the construction market of the People’s Republic of China (PRC)

Design-builders play a vital role in the success of DB projects. In the construction market of the People’s Republic of China, most of the design-builders, however, lack adequate competences to conduct the DB projects successfully. The objective of this study is, therefore, to identify the key competences that design-builders should possess to not only ensure the success of DB projects but also acquire the competitive advantages in the DB market. Five semi-structured face-to-face interviews and two rounds of Delphi questionnaire survey were conducted to identify the key competences of design-builders. Rankings have been assigned to these key competences on the basis of their relative importance. Six ranked key competences of design-builders have been identified, which are, namely, (1) experience with similar DB projects; (2) capability of corporate management; (3) combination of building techniques and design expertise; (4) financial capability for DB projects; (5) enterprise qualification and scale; and (6) credit records and reputation in the industry. The design-builders can make use of the research findings as guidelines to improve their DB competence. These research findings will also be useful to clients during the selection of design-builders.

Identification of key competences of DB clients in the construction market of China

The design-build system has been demonstrated as an effective delivery method and gained popularity worldwide. Although there are an increasing number of clients adopting DB method in China, most of them remain inexperienced with method. The objective of this study is therefore to identify the key competences that a client or its consultant should possess to ensure the success of DB projects. Face-to-face interviews and a two-round Delphi questionnaire survey were conducted to find the following six key competences of clients, which include the (1) ability to clearly articulate project scope and objectives; (2) financial capacity for DB projects; (3) capability in contract management; (4) adequate staff or consulting team; (5) effective coordination with contractors and (6) experience with similar DB projects. This study will hopefully provide clients with measures to evaluate their DB competence and further promote their understanding of DB system in the PRC.

Exploring Indigenous social attitudes and priorities in Australia

Given significant government attention to, and expenditure on, Indigenous equity in Australia, this article addresses a core problem: the lack of a sound understanding of Indigenous social attitudes and priorities. An account of cultural theory raises the likelihood of difference in outlook between Indigenous and non-Indigenous people, including those making and implementing policy. Yet, years of scholarly research and official statistical collections have overlooked potentially critical aspects of Indigineity. Suggestions of difference emerge from reference to the 2007 Australian Survey of Social Attitudes (AuSSA). If the attitudes recorded a small sample in this instrument manifest in the Indigenous population at large, policy priorities and directions should be reviewed and possibly revised. Despite inherent methodological difficulties, the article calls for targeted social attitude research among Australia's Indigenous peoples so that future policy can be better oriented and calibrated. The national benefits would outweigh the costs via better directed policy making.

From supply to demand-driven opportunities : unravelling the role of the customer in opportunity identification processes

Successful identification and exploitation of opportunities has been an area of interest to many entrepreneurship researchers. Since Shane and Venkataraman’s seminal work (e.g. Shane and Venkataraman, 2000; Shane, 2000), several scholars have theorised on how firms identify, nurture and develop opportunities. The majority of this literature has been devoted to understanding how entrepreneurs search for new applications of their technological base or discover opportunities based on prior knowledge (Zahra, 2008; Sarasvathy et al., 2003). In particular, knowledge about potential customer needs and problems that may present opportunities is vital (Webb et al., 2010). Whereas the role of prior knowledge of customer problems (Shane, 2003; Shepherd and DeTienne, 2005) and positioning oneself in a so-called knowledge corridor (Fiet, 1996) has been researched, the role of opportunity characteristics and their interaction with customer-related mechanisms that facilitate and hinder opportunity identification has received scant attention.

Evaluation of the 2010 child restraint legislation in Queensland

Occupant injury comprises the largest proportion of child road crash trauma in most highly motorised countries. In Australia, road crashes are the primary cause of death for children aged 1-14 years and are among the top three causes of serious injury to this age group. For this reason considerable research attention has been focused on understanding the contributing factors and the most effective ways of improving children’s safety as car passengers. Australia has been particularly active in this area, with well regarded work being conducted on levels of use of dedicated child restraints, restraint crash performance in laboratory conditions, examination of real world restraint crash performance (case review), and studies of psychosocial factors influencing perceptions about restraints and their use (Brown & Bilston, 2006; Brown, McCaskill, Henderson & Bilston, 2006; Edwards, Anderson & Hutchinson, 2006; Lennon, 2005, 2007). New legislation for the restraint of children as vehicle passengers was enacted in Queensland in March 2010. This new legislation recognises the importance of dedicated restraint use for children up to at least age 7 years and the protective benefits of rear seating position in the event of a crash. As part of improving children’s safety and addressing key priority areas, the Queensland Injury Prevention Council (QIPC) and Department of Transport and Main Roads (TMR) commissioned the Centre for Accident Research and Road Safety, Queensland (CARRS-Q) to evaluate the impact of the new legislation. Although at the time of commencing the research the legislation had only been in force for 14 months, it was deemed critical to review its effectiveness in guiding parental choices and compliance in order to inform the design and focus of further supporting initiatives and interventions. Specifically, the research sought clear evidence of exactly what impact, if any, the legislation has had on compliance levels and what difficulties (if any) parents/carers experience in relation to interpreting as well as complying with the requirements of the new law. Knowledge about these barriers or difficulties will allow any future changes or improvements to the legislation to address such barriers and thus improve its effectiveness. Moreover, better information about how the legislation has affected parents will provide a basis to plan non-legislative comprehensive multi-strategy interventions such as community, educational or behavioural interventions with parents/carers and other stakeholder groups. In addition, it will allow identification of the most effective aspects of the legislation and those areas in need of extra attention to improve effectiveness/compliance and thus better protect children travelling in cars and improve their health and safety. This report presents the findings from the four components of the research: the literature review; observational study; intercept interviews and focus group with parents; and the interviews with key stakeholders.

From social foresight to social entrepreneurship: pathways to sustainability

This study asks the central question, ‘Are social entrepreneurs using foresight to create innovation based on triple bottom line sustainability measures?’ and ‘if so, how?’ Sustainability is the emergent criteria for evaluating many aspects of the social world, including corporate governance, health systems, economics, social welfare and the environment. All the while, innovation is one of the key factors in the constitution of our social worlds, be this legislative, organisational, social or technical change. Therefore, it appears that the drive toward sustainability should be coupled with an emphasis on innovation – in particular creating innovation toward sustainability. Yet unexamined assumptions exist behind such language. Sustainability is a concept within the context of ‘the future’, requiring one to question ‘what is the future’ – in essence a utilisation of the strategic capacity for foresight. Foresight, moreover, ranges from the tacit assumed personal foresight of the ordinary individual to the specialised foresight of the professional forecaster, scenario planner, or foresight practitioner.

Towards human and social innovation: not wanting to know in order to create

The formation of a venture relies, in part, upon the participants reaching a shared understanding of purpose and process. Yet in circumstances of great complexity and uncertainty how can such a shared understanding be created? If the response to complexity and uncertainty is to seek simplicity in order to find commonality then what is lost and what is at risk? Can shared understandings of purpose and process be arrived at by embracing complexity and uncertainty and if so how? These questions led us to explore the process of dialogue and communication of a team in its formative stages. Our interests were not centred upon the behavioural characteristics of the individuals in the 'forming' stage of group dynamics but rather the process of cognitive and linguistic turns, the wax and wan of ideas and, the formation of shared meaning. This process of cognitive and linguistic turns was focused thematically on the areas of foresight, innovation, entrepreneurship, and public policy. This cross disciplinary exploration sought to explore potential synergies between these domains, in particular in developing a conceptual basis for long term thinking that can inform wiser public policy.

Behavioural evidence for social preferences

A central topic in economics is the existence of social preferences. Behavioural economics in general has approached the issue from several angles. Controlled experimental settings, surveys, and field experiments are able to show that in a number of economic environments, people usually care about immaterial things such as fairness or equity of allocations. Findings from experimental economics specifically have lead to large increase in theories addressing social preferences. Most (pro)social phenomena are well understood in the experimental settings but very difficult to observe 'in the wild'. One criticism in this regard is that many findings are bound by the artificial environment of the computer lab or survey method used. A further criticism is that the traditional methods also fail to directly attribute the observed behaviour to the mental constructs that are expected to stand behind them. This thesis will first examine the usefulness of sports data to test social preference models in a field environment, thus overcoming limitations of the lab with regards to applicability to other - non-artificial - environments. The second major contribution of this research establishes a new neuroscientific tool - the measurement of the heart rate variability - to observe participants' emotional reactions in a traditional experimental setup.

A comparison of the psychological, social, and legal factors contributing to speeding and drink driving behaviour

Within Australia, motor vehicle injury is the leading cause of hospital admissions and fatalities. Road crash data reveals that among the factors contributing to crashes in Queensland, speed and alcohol continue to be overrepresented. While alcohol is the number one contributing factor to fatal crashes, speeding also contributes to a high proportion of crashes. Research indicates that risky driving is an important contributor to road crashes. However, it has been debated whether all risky driving behaviours are similar enough to be explained by the same combination of factors. Further, road safety authorities have traditionally relied upon deterrence based countermeasures to reduce the incidence of illegal driving behaviours such as speeding and drink driving. However, more recent research has focussed on social factors to explain illegal driving behaviours. The purpose of this research was to examine and compare the psychological, legal, and social factors contributing to two illegal driving behaviours: exceeding the posted speed limit and driving when over the legal blood alcohol concentration (BAC) for the drivers licence type. Complementary theoretical perspectives were chosen to comprehensively examine these two behaviours including Akers’ social learning theory, Stafford and Warr’s expanded deterrence theory, and personality perspectives encompassing alcohol misuse, sensation seeking, and Type-A behaviour pattern. The program of research consisted of two phases: a preliminary pilot study, and the main quantitative phase. The preliminary pilot study was undertaken to inform the development of the quantitative study and to ensure the clarity of the theoretical constructs operationalised in this research. Semi-structured interviews were conducted with 11 Queensland drivers recruited from Queensland Transport Licensing Centres and Queensland University of Technology (QUT). These interviews demonstrated that the majority of participants had engaged in at least one of the behaviours, or knew of someone who had. It was also found among these drivers that the social environment in which both behaviours operated, including family and friends, and the social rewards and punishments associated with the behaviours, are important in their decision making. The main quantitative phase of the research involved a cross-sectional survey of 547 Queensland licensed drivers. The aim of this study was to determine the relationship between speeding and drink driving and whether there were any similarities or differences in the factors that contribute to a driver’s decision to engage in one or the other. A comparison of the participants self-reported speeding and self-reported drink driving behaviour demonstrated that there was a weak positive association between these two behaviours. Further, participants reported engaging in more frequent speeding at both low (i.e., up to 10 kilometres per hour) and high (i.e., 10 kilometres per hour or more) levels, than engaging in drink driving behaviour. It was noted that those who indicated they drove when they may be over the legal limit for their licence type, more frequently exceeded the posted speed limit by 10 kilometres per hour or more than those who complied with the regulatory limits for drink driving. A series of regression analyses were conducted to investigate the factors that predict self-reported speeding, self-reported drink driving, and the preparedness to engage in both behaviours. In relation to self-reported speeding (n = 465), it was found that among the sociodemographic and person-related factors, younger drivers and those who score high on measures of sensation seeking were more likely to report exceeding the posted speed limit. In addition, among the legal and psychosocial factors it was observed that direct exposure to punishment (i.e., being detected by police), direct punishment avoidance (i.e., engaging in an illegal driving behaviour and not being detected by police), personal definitions (i.e., personal orientation or attitudes toward the behaviour), both the normative and behavioural dimensions of differential association (i.e., refers to both the orientation or attitude of their friends and family, as well as the behaviour of these individuals), and anticipated punishments were significant predictors of self-reported speeding. It was interesting to note that associating with significant others who held unfavourable definitions towards speeding (the normative dimension of differential association) and anticipating punishments from others were both significant predictors of a reduction in self-reported speeding. In relation to self-reported drink driving (n = 462), a logistic regression analysis indicated that there were a number of significant predictors which increased the likelihood of whether participants had driven in the last six months when they thought they may have been over the legal alcohol limit. These included: experiences of direct punishment avoidance; having a family member convicted of drink driving; higher levels of Type-A behaviour pattern; greater alcohol misuse (as measured by the AUDIT); and the normative dimension of differential association (i.e., associating with others who held favourable attitudes to drink driving). A final logistic regression analysis examined the predictors of whether the participants reported engaging in both drink driving and speeding versus those who reported engaging in only speeding (the more common of the two behaviours) (n = 465). It was found that experiences of punishment avoidance for speeding decreased the likelihood of engaging in both speeding and drink driving; whereas in the case of drink driving, direct punishment avoidance increased the likelihood of engaging in both behaviours. It was also noted that holding favourable personal definitions toward speeding and drink driving, as well as higher levels of on Type-A behaviour pattern, and greater alcohol misuse significantly increased the likelihood of engaging in both speeding and drink driving. This research has demonstrated that the compliance with the regulatory limits was much higher for drink driving than it was for speeding. It is acknowledged that while speed limits are a fundamental component of speed management practices in Australia, the countermeasures applied to both speeding and drink driving do not appear to elicit the same level of compliance across the driving population. Further, the findings suggest that while the principles underpinning the current regime of deterrence based countermeasures are sound, current enforcement practices are insufficient to force compliance among the driving population, particularly in the case of speeding. Future research should further examine the degree of overlap between speeding and drink driving behaviour and whether punishment avoidance experiences for a specific illegal driving behaviour serve to undermine the deterrent effect of countermeasures aimed at reducing the incidence of another illegal driving behaviour. Furthermore, future work should seek to understand the factors which predict engaging in speeding and drink driving behaviours at the same time. Speeding has shown itself to be a pervasive and persistent behaviour, hence it would be useful to examine why road safety authorities have been successful in convincing the majority of drivers of the dangers of drink driving, but not those associated with speeding. In conclusion, the challenge for road safety practitioners will be to convince drivers that speeding and drink driving are equally risky behaviours, with the ultimate goal to reduce the prevalence of both behaviours.

Social infrastructure planning and sustainable communities : Example from South East Queensland, Australia

From its early birth through to the twenty-first century, the planning for social infrastructure has been viewed as a crucial element in promoting the development of healthy communities. The existence of good social infrastructure in every level of human settlement (i.e. neighbourhoods, districts, regions etc.) is vital because it is considered to be an element that impacts positively and meaningfully on the quality of life for members of the targeted community. The increasing importance of the sustainable development agenda in human settlements has prompted concerns over the cost of the government’s failure to provide for adequate social infrastructure for their communities. Part of this failure is attributed to the inconsistent outcome from the use of traditional planning standards that are based on population-to-facility ratios. This paper explores the literature discussion on social infrastructure for sustainable communities. It examines how a participation-oriented, need-sensitive approach in the planning and provision of social infrastructure is used as an alternative to the traditional standards that are based on population-to-facility ratios. It does this by giving an overview of its application in the planning and provision of social infrastructure for Australia’s fastest growing region of South-East Queensland.

Organizational rhetoric in the prospectuses of elite private schools: unpacking strategies of persuasion

The way in which private schools use rhetoric in their communications offers important insights into how these organizational sites persuade audiences and leverage marketplace advantage in the context of contemporary educational platforms. Through systemic analysis of rhetorical strategies employed in 65 ‘elite’ school prospectuses in Australia, this paper contributes to understandings of the ways schools’ communications draw on broader cultural politics in order to shape meanings and interactions among organizational actors. We identify six strategies consistently used by schools to this end: identification, juxtapositioning, bolstering or self-promotion, partial reporting, self-expansion, and reframing or reversal. We argue that, in the context of marketization and privatization discourses in twenty-first-century western education, these strategies attempt to subvert potentially threatening discourses, in the process actively reproducing broader economic and social privilege and inequalities.

Simulation of AE wave propagation in thin plate for source identification

In most materials, short stress waves are generated during the process of plastic deformation, phase transformation, crack formation and crack growth. These phenomena are applied in acoustic emission (AE) for the detection of material defects in wide spectrum areas, ranging from non-destructive testing for the detection of materials defects to monitoring of microeismical activity. AE technique is also used for defect source identification and for failure detection. AE waves consist of P waves (primary/longitudinal waves), S waves (shear/transverse waves) and Rayleight (surface) waves as well as reflected and diffracted waves. The propagation of AE waves in various modes has made the determination of source location difficult. In order to use the acoustic emission technique for accurate identification of source location, an understanding of wave propagation of the AE signals at various locations in a plate structure is essential. Furthermore, an understanding of wave propagation can also assist in sensor location for optimum detection of AE signals. In real life, as the AE signals radiate from the source it will result in stress waves. Unless the type of stress wave is known, it is very difficult to locate the source when using the classical propagation velocity equations. This paper describes the simulation of AE waves to identify the source location in steel plate as well as the wave modes. The finite element analysis (FEA) is used for the numerical simulation of wave propagation in thin plate. By knowing the type of wave generated, it is possible to apply the appropriate wave equations to determine the location of the source. For a single plate structure, the results show that the simulation algorithm is effective to simulate different stress waves.