123 resultados para TRANSACTIONS DEMAND


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The Demand-Control-Support (DCS) model is investigated in the context of police officers working within an organization that has relatively widespread uptake of New Public Management (NPM) practices. A survey of 479 police officers from two geographic regions was undertaken and the results indicate that the DCS offers a simple, yet powerful, framework for identifying the conditions to be managed in an NPM-oriented environment. Job control and work-based support predict all four target variables, strengthening the view that decision-making latitude and support from supervisors and colleagues represent critical resources for promoting the well-being, satisfaction and commitment of public sector employees.

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The VO2-power regression and estimated total energy demand for a 6-minute supramaximal exercise test was predicted from a continuous incremental exercise test. Sub-maximal VO2- power co-ordinates were established from the last 40 seconds(s) of 150-second exercise stages. The precision of the estimated total energy demand was determined using the 95% confidence interval (95% CI) of the estimated total energy demand. The linearity of the individual VO2-power regression equations was determined using Pearson's correlation coefficient. The mean 95% CI of the estimated total energy demand was 5.9±2.5 mL O2 Eq•-1kg•min-1, and the mean correlation coefficient was 0.9942±0.0042. The current study contends that the sub-maximal VO2-power co-ordinates from a continuous incremental exercise test can be used to estimate supra-maximal energy demand without compromising the precision of the accumulated oxygen deficit (AOD) method.

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Purpose – The purpose of this paper is to provide a rare insight into the motivation behind first-time buyers when looking to purchase their first home. The factors driving demand preferences for detached housing are constantly changing and difficult to measure, and often deemed to be a complex bundle of attributes.

Design/methodology/approach –
The research in this paper is based on interviews with purchasers at a series of locations across Melbourne, Australia, who were actively seeking to purchase a home for the first time. The data were analysed using factor analysis to identify the core decision criteria in a new house that were most sought after.

Findings – The findings in this paper confirmed that “financial” issues accounted for approximately 30 percent of the actual decision by first-time buyers to purchase housing, where decisions relating to the timing and choice of housing are dependent on “site-specific” factors.

Research limitations/implications –
The research in this paper is aimed specifically at first time buyers only and the influencing factors behind their purchasing decisions.

Practical implications – The paper shows that, if consideration is given to the characteristics that first-time owners are looking for, providers of new housing would be better equipped to meet this demand and maximise construction efficiency.

Originality/value –
In the paper the emphasis was placed on identifying and analysing the decision criteria behind first-time buyers, which provided an invaluable insight into their concept of a suitable residence. Rather than analysing sales transactions after they have been completed, this research considers aspects of new houses that first-time owners are actively searching for, prior to making their purchase.

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Some activities that are applied in the property market to facilitate transactions have the potential to lead to unethical behaviour. Two conditions required for a sale price to be acceptable as market value are that the transaction is at arm’s length and the parties to the transaction are knowledgeable and prudent. The well-known difficulties associated with access to market pricing information are exacerbated by several of these activities including dummy bidding at auctions, two-tier marketing and the provision of lease incentives. Added to these is a common requirement that any negotiation be commercial-in-confidence. The lack of information has the potential to distort the market and this has been well publicised in recent times particularly in the residential market.
The definition of market value is visited and the nature of ethics in property transactions is outlined. Several examples of activities that could lead to unethical behaviour are described. It is concluded that unethical behaviour is hard to identify. Some recommendations are included for consideration and discussion.

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This study reports on an empirical investigation of the characteristics, attitudes, and beliefs of preparers of external financial reports in a less developed country. The basic research instrument consisted of a questionnaire in two parts: the first addressing attitudes of professional accountants toward annual financial reports generally; the second, more specifically measuring the importance of the information items to preparers. Our results suggest that the independent auditor is the most influential group in decision-making processes. As in many developed countries, the auditor’s report and the regulatory framework are considered to have a major influence on financial reporting practices. Preparers believe that a lack of knowledge of external users’ needs and lack of reporting standards and accepted accounting principles are the main concerns with corporate financial reports in Iran. The results showed that the balance sheet, auditors’ report, and income statement in that order are the three most important parts of the annual reports.

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In this article, we estimate money demand functions for a panel of eight transitional economies, using quarterly data for the period 1995:01 1995 to 2005:03. We find that real M1 and real M2 and their determinants, namely real income and short-term domestic interest rate, are cointegrated, both for individual countries as well as for the panel. Long-run elasticities suggest that consistent with theory, real income positively and nominal interest rate negatively impact real money demand. Our test for panel Granger causality suggests short-run bidirectional causality between M1 and M2 and their determinants. Finally, our tests for stability of the money demand functions reveal more cases of unstable money demand functions when M2 is used as a proxy for money demand.

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BACKGROUND: Predicting future demand for intensive care is vital to planning the allocation of resources.

METHOD: Mathematical modelling using the autoregressive integrated moving average (ARIMA) was applied to intensive care data from the Australian and New Zealand Intensive Care Society (ANZICS) Core Database and population projections from the Australian Bureau of Statistics to forecast future demand in Australian intensive care.

RESULTS: The model forecasts an increase in ICU demand of over 50% by 2020, with current total ICU bed-days (in 2007) of 471 358, predicted to increase to 643 160 by 2020. An increased rate of ICU use by patients older than 80 years was also noted, with the average bed-days per 10 000 population for this group increasing from 396 in 2006 to 741 in 2007.

CONCLUSION: An increase in demand of the forecast magnitude could not be accommodated within current ICU capacity. Significant action will be required.

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The aim of the research was to generate a cyclonic model for understanding the influences and processes of continuously improving management education in an environment rich in online learning technologies. The research questions were:
1. What is the nature of the cyclonic interactions observed in the transactions of a team of online management educators?
2. How might an understanding of cyclonic interactions
a. help refine action research, and
b. generate rich insight for online management education?
The methodology was an action research project. The research team worked in an online Master of Business Administration (MBA) to continuously develop teaching practice in one unit of the MBA. The methodology matched the objectives of the project, and the appropriate rigour associated with qualitative, interpretive research. The results showed that theories of systems and relational dynamics, adapted to hermeneutics and aligned with other learning theories, can be framed by the metaphor of a cyclone to conduct research into teaching practice and build upon the theory base in the field of online education.
Online management education is subject to reinterpretations. The cyclonic framework explains some of the changes. The project showed that a chaotic but organised cyclonic program development process in one particular MBA course was informative for and informed by the chaotic and cyclonic globalized business world. For the education of managers the cyclonic view was relevant. The approach was metaphorical and, therefore, opened new ways of seeing and speaking. Findings pertained to the nature of the cyclonic interactions, how an understanding of cyclonic interactions helped to refine action research, and how an understanding of cyclonic interactions helped generate rich insight for online management education.
It was found that it was the asymmetrical impetus of imperfection that created the examples of cyclonic learning spirals formed as double feedback loops for improved understanding. Online education in the action research required cyclical enhancement of connectedness by teachers, stronger emphasis on relational considerations in learning, and heightened expectations of collaboration by educators. It became possible to correlate earlier conceptions of action research with cyclonic categories and analyse the parallels with events in this action research project. Models were developed and presented to explain 3 cyclonic connections with hermeneutics, collaborative teaching, online resource
development, and the environment of online management.

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Purpose – This paper aims to provide an invaluable insight into long-term forecasting of demand for aged care facilities. This will ensure the provision of adequate supply by government bodies, stakeholders and developers in order to meet the anticipated level of demand, without creating an over-supply or an under-supply scenario.

Design/methodology/approach – Using an innovative approach, different data sources were collectively used to forecast separate individual supply and demand levels, which were then examined together in order to measure the difference between the two variables between 2009-2020. A case study approach was used for Victoria, Australia.

Findings – The paper finds that, although there is excess supply between 2009-2010 and 2019-2020, the period between 2010 and 2019 will experience an under-supply period which cannot be easily rectified over the short term.

Research limitations/implications –
The case study was limited to residential care facilities in Victoria, Australia, although some countries have substantially different age profiles and accommodation supply for older residents. Forecasts are based on information sources from various data suppliers and collectively analysed.

Practical implications – The results are also of direct interest to place managers and planning authorities who are charged with providing medium- and long-term visions and plans for specific locations. This type of research is essential when planning for the eventual aging of the population, where the methodology can be replicated in different areas. Most importantly, this research approach provides a solid basis for decisions regarding the supply of residential aged care facilities as opposed to a simple estimate.

Originality/value – The study adopted a unique approach to analysing the individual supply and demand components for aged care facilities over the long term. This approach is able to accurately determine when there will be an under-supply or over-supply situation and thus provide the opportunity to address the difference before it occurs. This will allow informed decisions about planning aged care facilities in the future to be made as required.