The moderating role of task characteristics in determining responses to a stressful work simulation

Two experimental studies were conducted to examine whether the stress-buffering effects of behavioral control on work task responses varied as a function of procedural information. Study 1 manipulated low and high levels of task demands, behavioral control, and procedural information for 128 introductory psychology students completing an in-basket activity. ANOVA procedures revealed a significant three-way interaction among these variables in the prediction of subjective task performance and task satisfaction. It was found that procedural information buffered the negative effects of task demands on ratings of performance and satisfaction only under conditions of low behavioral control. This pattern of results suggests that procedural information may have a compensatory effect when the work environment is characterized by a combination of high task demands and low behavioral control. Study 2 (N=256) utilized simple and complex versions of the in-basket activity to examine the extent to which the interactive relationship among task demands, behavioral control, and procedural information varied as a function of task complexity. There was further support for the stress-buffering role of procedural information on work task responses under conditions of low behavioral control. This effect was, however, only present when the in-basket activity was characterized by high task complexity, suggesting that the interactive relationship among these variables may depend on the type of tasks performed at work.

Integration over song classification replicates: song variant analysis in the hihi

Human expert analyses are commonly used in bioacoustic studies and can potentially limit the reproducibility of these results. In this paper, a machine learning method is presented to statistically classify avian vocalizations. Automated approaches were applied to isolate bird songs from long field recordings, assess song similarities, and classify songs into distinct variants. Because no positive controls were available to assess the true classification of variants, multiple replicates of automatic classification of song variants were analyzed to investigate clustering uncertainty. The automatic classifications were more similar to the expert classifications than expected by chance. Application of these methods demonstrated the presence of discrete song variants in an island population of the New Zealand hihi (Notiomystis cincta). The geographic patterns of song variation were then revealed by integrating over classification replicates. Because this automated approach considers variation in song variant classification, it reduces potential human bias and facilitates the reproducibility of the results.

Measuring financial literacy of superannuation fund members: Preliminary results

Superannuation is typically the second most valuable asset for most working Australians. Despite such importance, many fund members appear to be disengaged with their ‘forced savings’. The literature shows that financial literacy is one of the key requirements for making informed financial choice. Yet numerous financial literacy studies indicate that financial illiteracy is widespread across different countries and settings. This study assesses the financial literacy of superannuation participants through a survey of 594 fund members. The results show that while most respondents displayed high levels of self-rated and general financial literacy, fewer scored as well in relation to more advanced literacy regarding superannuation investment options.

Info-active and info-passive: The new type of consumer classification

Social media platforms, that foster user generated content, have altered the ways consumers search for product related information. Conducting online searches, reading product reviews, and comparing products ratings, is becoming a more common information seeking pathway. This research demonstrates that info-active consumers are becoming less reliant on information provided by retailers or manufacturers, hence marketing generated online content may have a reduced impact on their purchasing behaviour. The results of this study indicate that beyond traditional methods of segmenting consumers, in the online context, new classifications such as info-active and info-passive would be beneficial in digital marketing. This cross-sectional, mixed-methods study is based on 43 in-depth interviews and an online survey with 500 consumers from 30 countries.

No future? End the Future Fund's affair with Big Tobacco

Australia has shown outstanding leadership on tobacco control - but it could do more. The next step is surely for the Future Fund to quit its addiction to tobacco investments.

Future Fund drops tobacco: Should fossil fuels be next?

After a year long public campaign, the Future Fund has today announced plans to end its $222 million investment in tobacco.

Inter-organisational characteristics of resilience in a post-disaster recovery context

During post-disaster recovery, an infrastructure system may be subject to a number of disturbances originating from several other interdependent infrastructures. These disturbances might result in a series of system failures, thereby having immediate impact on societal living conditions. The inability to detect signs of disturbance from one infrastructure during recovery might cause significant disruptive effects on other infrastructure via the interconnection that exist among them. In such circumstances, it clearly appears that critical infrastructures' interdependencies affect the recovery of each individual infrastructure, as well as those of other interdependent infrastructure systems. This is why infrastructure resilience needs to be improved in function of those interdependencies, particularly during the recovery period to avoid the occurrence of a ‘disaster of disaster’ scenario. Viewed from this perspective, resilience is achieved through an inter-organisational collaboration between the different organisations involved in the reconstruction of interdependent infrastructure systems. This paper suggests that to some extent, the existing degree of interconnectedness between these infrastructure systems can also be found in their resilience ability during post-disaster recovery. For instance, without a resilient energy system, a large-scale power outage could affect simultaneously all the interdependent infrastructures after a disaster. Thus, breaking down the silos of resilience would be the first step in minimizing the risks of disaster failures from one infrastructure to cascade or escalate to other interconnected systems.

Characteristics of the first pre-discharge current pulse in SF6 under a steep fronted impulse voltage

An improved understanding of the characteristics of the pre-discharge current pulses in GIS will lead to improved analyses of the results from the UHF partial discharge detection method. This paper presents the characteristics of the first pre-discharge current pulses from a point-to-plain geometry at 1 bar absolute under both polarities of a 1.1/80 us lightning impulse. The analysis has shown that the pre-discharge current wave shape, peak current magnitude and charge is effected by the instantaneous voltage at which the pre- discharge took place as well as the polarity of the active electrode. The measured results show that protrusions on the electrodes have slower wave shape parameters than those reported for free conducting particles.

Damage detection in suspension bridges using vibration characteristics

This research developed a method to detect damage in suspension bridges using vibration characteristics. These bridges exhibit complex vibration and hence it is difficult to use traditional vibration based methods to detect damage in them. This research therefore proposed component specific damage indices and verified their capability to detect and locate damage in the main cables and hangers of suspension bridges.

Firms’ information system characteristics and management accounting adaptability

This study explores the relationship between the qualities of an information system and management accounting adaptability (MAA) and effectiveness in firms. Design/methodology/approach I develop and empirically test a model where the qualities of the information system and management accounting effectiveness are mediated by MAA. Findings Information system flexibility (ISF) and shared knowledge had a significant and positive correlation with MAA, which in turn had a positive and significant correlation with management accounting effectiveness. There was also a moderation effect of ISF on the correlation betweeen information system integration and MAA. Research implications Information system integration may not lead to management accounting stability, but the lack of flexibility of a system and a lack of cooperation between the stakeholders might lead to its stagnation. Practical implications Organizations are advised to implement solutions that are relatively flexible and modular, as well as encourage cooperation between stakeholders to fully leverage and improve the existing and future systems. Originality/value The study extends the discourse on the interaction between management accounting and information systems by exploring the role of a number of factors that drive MAA.

Immunogenetic characteristics of immunoglobulin E in allergic disease

Patients with allergic diseases produce an excess of allergen-specific IgE, the specific effector molecule that triggers allergic reactions. The provocation for this excess IgE production is still uncertain. Current ideas include oligoclonal expansion of allergen-specific B cells emanating from germinal centres, activation by superantigen of a subset of B cells, or polyclonal B cells class switching to IgE due to an IL-4 predominance. Additionally, genetic elements contribute to a propensity for increased allergen-specific IgE production. The procedure of RT-PCR allows for amplification of infrequent IgE mRNA transcripts from B cells of atopic individuals, and so facilitates examination of expressed Ig cDNA sequences. Better knowledge of the molecular characteristics of IgE produced by patients with allergic diseases would elucidate the immunogenetic basis for elevated allergen-specific IgE levels. The 'immunogenetic footprint' of IgE transcripts may elucidate the origin and activation of IgE-producing B cells in allergic disease. Here we review studies of the immunogenetic features of IgE in allergic diseases, highlighting the major advances and the experimental limitations.

Islamic fund and asset management: The opportunities and challenges of Islamic REITs

Purpose This paper aims to present a review on the issues and challenges for Islamic Funds and Asset Management, particularly the Islamic Real Estate Trusts (I-REITs) available in Malaysia. The key difference between the Islamic and the conventional investment vehicle is mainly the fund needs to adhere to the Shariah framework. Design/methodology/approach The paper reviews and synthesises the relevant literature on the framework of Islamic Asset and Fund Management, particularly the Islamic Real Estate Investment Trusts. The paper then provides insights for further research to address the issues and consider the Shariah framework applicable to other further research works. Findings The paper highlights the opportunities and challenges of Islamic REITs globally. There is a lack of the standardisation in the screening methodology used by the Malaysian I- REITs and Singapore I-REITs as the latter follows the Gulf Cooperation Council (GCC) guideline to capture the investors mainly from the Gulf countries. In term of tenants’ selection, there is similarity between I-REITs and the Socially Responsible Investment (SRI) or ethical investment. The gap between the investments can be bridged if the Islamic funds skewed the investment portfolio towards the social and ethical investment. Even though there is a limitation in the investment universe, I-REITs provide better diversification option and show better performance compared to the equity market during the economic crisis. The introduction of the Shariah-compliant REITs index for Asia Pacific allows the fund managers to benchmark the performance of either the funds or the sector with other investment vehicles. This will encourage more investors to consider I-REIT in the decision making of the asset allocation portfolio and broadening the horizon of the investment. Originality/value The contribution of the study is the examination and analysis of the Shariah framework currently adopted for Islamic REITs. This will assist in the identification of specific issues associated with Islamic REITs that will need to be addressed in the development and application of further research in the aspect of the management and operations to increase the efficiency level and better performance in order to capture more investors in this specific and promising market.

Impacts of wind power integration on small signal stability and low frequency oscillation characteristics of interconnected power systems

为研究风电并网对互联系统低频振荡的影响,基于完整的双馈风电机组模型,定性分析了两区域互联系统在风电机组并网前后阻尼特性的变化情况.从双馈风电机组并网输送距离、并网容量、互联系统联络线传送功率、是否加装电力系统稳定器等多个方面,多角度分析了风电场并网对互联系统小干扰稳定及低频振荡特性的影响.之后,以两个包括两个区域的电力系统为例,进行了系统的计算分析和比较.结果表明,有双馈风电机组接入的互联电力系统,在不同运行模式下,双馈风电机组的并网输送距离、出力水平、联络线传送功率对低频振荡模式的影响在趋势和程度上均有显著差异,这样在对风电场进行入网规划、设计和运行时就需要综合考虑这些因素的影响.

Combining HPLC-DAD and ICP-MS data for improved analysis of complex samples: Classification of the root samples from Cortex moutan

A combined data matrix consisting of high performance liquid chromatography–diode array detector (HPLC–DAD) and inductively coupled plasma-mass spectrometry (ICP-MS) measurements of samples from the plant roots of the Cortex moutan (CM), produced much better classification and prediction results in comparison with those obtained from either of the individual data sets. The HPLC peaks (organic components) of the CM samples, and the ICP-MS measurements (trace metal elements) were investigated with the use of principal component analysis (PCA) and the linear discriminant analysis (LDA) methods of data analysis; essentially, qualitative results suggested that discrimination of the CM samples from three different provinces was possible with the combined matrix producing best results. Another three methods, K-nearest neighbor (KNN), back-propagation artificial neural network (BP-ANN) and least squares support vector machines (LS-SVM) were applied for the classification and prediction of the samples. Again, the combined data matrix analyzed by the KNN method produced best results (100% correct; prediction set data). Additionally, multiple linear regression (MLR) was utilized to explore any relationship between the organic constituents and the metal elements of the CM samples; the extracted linear regression equations showed that the essential metals as well as some metallic pollutants were related to the organic compounds on the basis of their concentrations