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To describe an innovative practice that has implication for new product developers.

The case describes an approach to building creativity used in an actual company. The name of the organization has been changed at its request. Interviews with company representatives, organizational concept papers and publicly available data were used to write the case study.

Provides information and action approaches to new product developers that may increase the success and accuracy of resulting new products. The subject company applied the mind mapping technique, previously used in project management, to new product development. Their results offer encouraging implications for new product development teams.

As in all case studies, the specific conditions found in one organization may not be found more generally in others. Readers are cautioned that the conclusions drawn in the case may have limited applicability.

The case depicts an innovative application of the mind mapping technique to the new product development process. Other organizations may find the technique of value in their own efforts.

The case is the first to describe a successful application of the mind mapping technique to the new product development process. It offers the potential of improving the success of new products in the marketplace, increasing company success.

The purpose of this paper is to describe the development of a tool to aid new product development.

The case describes how an organization solved the problem of managing the new product development process in a way that integrates the perceptions and values of the variety of professionals on the typical cross‐functional team.

Cross‐functional product teams are designed to include the input of different team members with different areas of expertise and thinking styles. Some work effectively, using lists to organize their thinking. Others are more effective using graphic tools that present a picture that allows them to make connections among a group of concepts and tasks. The company featured in the case, developed a tool that maximizes the effectiveness of both styles.

As in all case studies, the specific conditions found in one organization may not be found more generally in others. However, the solution portrayed in the case has widespread application.

The case depicts the processes that underlie new product development and a tool that can be used to manage the process. Other companies may find that attending to each type of user learning style can improve the effectiveness of their development efforts.

The case describes how a software product that collects and integrates the insights of decision makers and experts who possess different perceptual styles can enhance the productivity and effectiveness of a product team.

This study aims to examine the impact of lending liquidity on house prices especially during black swan events such as the Global Financial Crisis of 2007–08 and COVID-19. Homeownership is an important goal for many, and house prices are a significant driver of household wealth and the wider economy. This study argues that excessive liquidity from central banks may be driving house price increases, despite negative changes to fundamental drivers. This study contributes to the literature by examining lending liquidity as a driver of house prices and evaluating the efficacy of fiscal policies aimed at boosting liquidity during black swan events.

This study aims to examine the impact of quantitative easing on Australian house prices during back swan events using data from 2004 to 2021. All macroeconomic and financial data are freely available from official sources such as the Australian Bureau of Statistics and the nation's Central Bank. Methodology wise, given the problematic nature of the data such as a mixed order of integration and the possibility of cointegration among some of the I(1) variables, the auto-regressive distributed lag model was selected given its flexibility and relative lack of assumptions.

The Australian housing market continued to perform well during the COVID-19 pandemic, with the house price index reaching an unprecedented high towards the end of 2021. Research using data from 2004 to 2021 found a consistent positive relationship between house prices and housing finance, as well as population growth and the value of work commenced on residential properties. Other traditional drivers such as the unemployment rate, economic activity, stock prices and income levels were found to be less significant. This study suggests that quantitative easing implemented during the pandemic played a significant role in the housing market's performance.

Given the severity of COVID-19, policymakers have responded with fiscal and monetary measures that are unprecedented in scale and scope. The full implications of these responses are yet to be completely understood. In Australia, the policy interest rate was reduced to a historic low of 0.1%. In the following periods house prices appreciated by over 20%. The efficacy of quantitative easing and associated fiscal policies aimed at boosting liquidity to mitigate the impact of black swan events such as the pandemic has yet to be tested empirically. This study aims to address that paucity in literature by providing such evidence.

IN the death of Mr. JAMES DUFF BROWN, the library profession loses one of its most striking personalities and librarianship its most powerful influence for progress. Any attempt at present to estimate the extent of his influence upon the modern public library must necessarily be inadequate, because not only are some of the movements he started only beginning to gather force, but his retiring nature made him refrain from labelling many things as his own. With the possible reservation that he was unable to do himself justice on the platform, he was the ideal born public librarian. As an organiser and teacher of librarianship, as a keen and discerning student and critic of tendencies, methods and results, and as an expounder of professional knowledge through the medium of the written page, he was without an equal. Like all pioneers and men of strong opinions, he did not make only friends ; but he had world‐wide friendships, and he forced the attention and respect of all library workers. On another page of this issue an old friend and one‐time colleague of his gives a brief outline of his life and works, and we need not do the same again here. But as his successors in the editorship of THE LIBRARY WORLD, which he founded and edited until a year or two ago, we cannot refrain from adding our tribute to his memory. Representing the best type of efficiency and progress in librarianship, he was a real friend and teacher, and his death leaves a sad gap in our ranks.

Property market models have the overriding aim of predicting reasonable estimates of key dependent variables (demand, supply, rent, yield, vacancy and net absorption rate). These can be based on independent drivers of core property and economic activities. Accurate predictions can only be conducted when ample quantitative data are available with fewer uncertainties. However, a broad-fronted social, technical and ecological evolution can throw up sudden, unexpected shocks that result in the econometric outputs sceptical to unknown risk factors. Therefore, the purpose of this paper is to evaluate Australian office market forecast accuracy and to determine whether the forecasts capture extreme downside risk events.

This study follows a quantitative research approach, using secondary data analysis to test the accuracy of economists’ forecasts. The forecast accuracy evaluation encompasses the measurement of economic and property forecasts under the following phases: testing for the forecast accuracy; analysing outliers of forecast errors; and testing of causal relationships. Forecast accuracy measurement incorporates scale independent metrics that include Theil’s U values (U1 and U2) and mean absolute scaled error. Inter-quartile range rule is used for the outlier analysis. To find the causal relationships among variables, the time series regression methodology is utilised, including multiple regression analysis and Granger causality developed under the vector auto regression (VAR).

The credibility of economic and property forecasts was questionable around the period of the Global Financial Crisis (GFC); a significant man-made Black Swan event. The forecast accuracy measurement highlighted rental movement and net absorption forecast errors as the critical inaccurate predictions. These key property variables are explained by historic information and independent economic variables. However, these do not explain the changes when error time series of the variables were concerned. According to VAR estimates, all property variables have a significant causality derived from the lagged values of Australian S&P/ASX 200 (ASX) forecast errors. Therefore, lagged ASX forecast errors could be used as a warning signal to adjust property forecasts.

Secondary data were obtained from the premier Australian property markets: Canberra, Sydney, Brisbane, Adelaide, Melbourne and Perth. A limited ten-year timeframe (2001-2011) was used in the ex-post analysis for the comparison of economic and property variables. Forecasts ceased from 2011, due to the discontinuity of the Australian Financial Review quarterly survey of economists; the main source of economic forecast data.

The research strongly recommended naïve forecasts for the property variables, as an input determinant in each office market forecast equation. Further, lagged forecast errors in the ASX could be used as a warning signal for the successive property forecast errors. Hence, data adjustments can be made to ensure the accuracy of the Australian office market forecasts.

The paper highlights the critical inaccuracy of the Australian office market forecasts around the GFC. In an environment of increasing incidence of unknown events, these types of risk events should not be dismissed as statistical outliers in real estate modelling. As a proactive strategy to improve office market forecasts, lagged ASX forecast errors could be used as a warning signal. This causality was mirrored in rental movements and total vacancy forecast errors. The close interdependency between rents and vacancy rates in the forecasting process and the volatility in rental cash flows reflects on direct property investment and subsequently on the ASX, is therefore justified.

The purpose of this paper is to demonstrate a spatial model of population vulnerability (VI) capable of identifying areas of high emergency service demand (ESD) during extreme heat events (EHE).

An index of population vulnerability to EHE was developed from a literature review. Threshold temperatures for EHE were defined using local temperatures, and indicators of increased morbidity. Spearman correlations determined the strength of the relationship between the VI and morbidity during EHE. The VI was mapped providing a visual guide of risk during EHE. Future changes in population vulnerability based on future population projections (2020-2030) were mapped.

The VI can be used to explain the spatial distribution of ESD during EHE. Mapping future changes in population density/demography indicated several areas currently showing high risk will continue to show increased risk.

The limitations include using outdoor temperatures to determine health-related thresholds. Due to data restrictions three different measures of morbidity were used and aggregated to postal areas.

Identifying areas of increased service demand during EHE allows the development of proactive as-well-as reactive responses to heat. The model uses readily available data, is replicable in larger urban areas.

The model allows emergency service providers to work with high risk communities to build resilience to heat exposure and subsequently save lives.

To the authors’ knowledge this triangulated approach using heat thresholds, ESD and projected changes in risk in a spatial framework has not been presented to date.

THE scientist and philosopher will tell us that the mind of man cannot in a lifetime fully grasp and understand any one subject. Consequently it is unreasonable to expect that the librarian—who, in spite of popular belief, is but man—can have a complete understanding of every department of knowledge relative to his work. He must, in common with his fellows in other callings, content himself with a more or less general professional knowledge, and may specialize, if he be so disposed, in certain branches of that knowledge. The more restricted this particular knowledge is, the greater will be its value from a specialistic point of view.

An informative leaflet on the affect on the new COSHH regulations has been produced by Deb, the leading specialist in skin care, hygiene and cleaning products for industry.

MUCH has already been said and written upon the subject of the indicator: but in view of the general trend of advanced Public Library administration a little space may with advantage be devoted again to the consideration of its value as a modern library appliance. Passing over (a) the decision of that curiously constituted committee formed in 1879 to consider and report on indicators, and (b) the support which it received in 1880 from the Library Association, it may be said that for the next fourteen or fifteen years the indicator system was the popular, almost the universal, system in vogue throughout the country. Of late years professional opinion as to its value has undergone a remarkable change. The reaction which has set in was brought about chiefly by the introduction of Open Access in 1894, with the many reforms that accompanied it, though much, doubtless, was due to the prevalence of a more exact and systematic knowledge of librarianship, and to the natural evolution of ideas. It is not, however, intended in this paper to compare the indicator with the open access system, but with others suitable to the requirements of a closed library.