922 resultados para Asset Management, Decision, Taxonomy, Context Analysis


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1. The rapid expansion of systematic monitoring schemes necessitates robust methods to reliably assess species' status and trends. Insect monitoring poses a challenge where there are strong seasonal patterns, requiring repeated counts to reliably assess abundance. Butterfly monitoring schemes (BMSs) operate in an increasing number of countries with broadly the same methodology, yet they differ in their observation frequency and in the methods used to compute annual abundance indices. 2. Using simulated and observed data, we performed an extensive comparison of two approaches used to derive abundance indices from count data collected via BMS, under a range of sampling frequencies. Linear interpolation is most commonly used to estimate abundance indices from seasonal count series. A second method, hereafter the regional generalized additive model (GAM), fits a GAM to repeated counts within sites across a climatic region. For the two methods, we estimated bias in abundance indices and the statistical power for detecting trends, given different proportions of missing counts. We also compared the accuracy of trend estimates using systematically degraded observed counts of the Gatekeeper Pyronia tithonus (Linnaeus 1767). 3. The regional GAM method generally outperforms the linear interpolation method. When the proportion of missing counts increased beyond 50%, indices derived via the linear interpolation method showed substantially higher estimation error as well as clear biases, in comparison to the regional GAM method. The regional GAM method also showed higher power to detect trends when the proportion of missing counts was substantial. 4. Synthesis and applications. Monitoring offers invaluable data to support conservation policy and management, but requires robust analysis approaches and guidance for new and expanding schemes. Based on our findings, we recommend the regional generalized additive model approach when conducting integrative analyses across schemes, or when analysing scheme data with reduced sampling efforts. This method enables existing schemes to be expanded or new schemes to be developed with reduced within-year sampling frequency, as well as affording options to adapt protocols to more efficiently assess species status and trends across large geographical scales.

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Researchers typically tackle questions by constructing powerful, highlyreplicated sampling protocols or experimental designs. Such approaches often demand large samples sizes and are usually only conducted on a once-off basis. In contrast, many industries need to continually monitor phenomena such as equipment reliability, water quality, or the abundance of a pest. In such instances, costs and time inherent in sampling preclude the use of highlyintensive methods. Ideally, one wants to collect the absolute minimum number of samples needed to make an appropriate decision. Sequential sampling, wherein the sample size is a function of the results of the sampling process itself, offers a practicable solution. But smaller sample sizes equate to less knowledge about the population, and thus an increased risk of making an incorrect management decision. There are various statistical techniques to account for and measure risk in sequential sampling plans. We illustrate these methods and assess them using examples relating to the management of arthropod pests in commercial crops, but they can be applied to any situation where sequential sampling is used.

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Agent-oriented software engineering and software product lines are two promising software engineering techniques. Recent research work has been exploring their integration, namely multi-agent systems product lines (MAS-PLs), to promote reuse and variability management in the context of complex software systems. However, current product derivation approaches do not provide specific mechanisms to deal with MAS-PLs. This is essential because they typically encompass several concerns (e.g., trust, coordination, transaction, state persistence) that are constructed on the basis of heterogeneous technologies (e.g., object-oriented frameworks and platforms). In this paper, we propose the use of multi-level models to support the configuration knowledge specification and automatic product derivation of MAS-PLs. Our approach provides an agent-specific architecture model that uses abstractions and instantiation rules that are relevant to this application domain. In order to evaluate the feasibility and effectiveness of the proposed approach, we have implemented it as an extension of an existing product derivation tool, called GenArch. The approach has also been evaluated through the automatic instantiation of two MAS-PLs, demonstrating its potential and benefits to product derivation and configuration knowledge specification.

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The Research Quality Framework uses Thomson-ISI citation benchmarks as its main set of objective measures of research quality. The Thomson-ISI measures rely on identifying a core set of journals in which the major publications for a discipline are to be found. The core for a discipline is determined by applying a nontransparent process that is partly based on Bradford’s Law (1934). Yet Bradford was not seeking measures about quality of publications or journals. How valid then is it to base measures of publication quality on Bradford’s Law? We explore this by returning to Bradford’s Law and subsequent related research asking ‘what is Bradford’s Law really about?’ We go further, and ask ‘does Bradford’s Law apply in Information Systems?’ We use data from John Lamp’s internationally respected Index of Information Systems Journals to explore the latter question. We have found that Information Systems may have a core of journals only a subset of which is also in the list of Thomson-ISI journals. There remain many unanswered questions about the RQF metrics based on Thomson-ISI and their applicability to information systems.

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The Mekong River serves China, Myanmar, Thailand, Laos, Cambodia and Vietnam covering an area of approximately 795, 000 square kilometres and the Mekong River basin is a delicate eco-system rich in natural resources and bio-diversity. Competing demands for increasingly scarce supplies of water, the reciprocal impacts of land and water uses and inadequate governance arrangements have given rise to conflicts that has to be resolved by policy making to facilitate a process, whereby the main principles adopted in the Mekong River Agreement can be implemented.

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Purpose: – The aim of this paper is to investigate time-factors in occupant-environment relationships.

Design/methodology/approach
: – The paper analyses satisfaction ratings on 12 workplace environment features collected from more than 5,000 occupants in 48 office buildings in Australia. The database is divided into seven environment categories: first occupied after construction; new occupation after major update; recent relocation into an existing environment; re-occupying an environment after refurbishment; relocation of workspace in an existing environment; acclimatised occupation of a refurbished workspace; and continued occupation of an existing environment. Cumulative frequency profiles of the collected ratings for each of these categories are analysed qualitatively and quantitatively.

Findings: – The study shows that updated environments which are occupied by the same organisation before and after refurbishment are more successful than environments which are occupied by a new organisation after update. New buildings provide the greatest number of satisfied occupants. While many workplace design aspects are successfully addressed in newly designed and updated environments, satisfaction with acoustic and visual design features is equally poor in all investigated environment categories.

Originality/value
: – The study develops understanding of which environment categories, defined by the duration of the occupant-environment relationships, are most successful in providing satisfying design features. The study thereby provides advice for facility management decision making.

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Good governance is recognized as a fundamental indicator of the success of a company. For a small- midsized company, this is particularly so, as such companies must be able to competitively demonstrate their flexibility in the face of market forces. This flexibility is the primary advantage they hold over larger firms (Dalton, Daily, Ellstrand and Johnson, 1998).

Such companies, however, can find it difficult to attract good directors (Daum and Neff, 2003) and this makes developing improved strategies of governance a challenge. Taylor, Chait and Holland suggest top directors are not attracted to small/ medium companies because "the stakes remain low, the meetings process-driven, the outcomes ambiguous, and the deliberations insular" (Taylor, Chait and Holland, 2001). We suggest that the attraction of quality directors is a uniquely impacting situation for small and mid-size firms, as it is there where additional management resources should be needed most urgently.

Directors on the boards of small-medium sized businesses are often lagging behind directors of large companies in that they are less likely to be independent external directors and are less likely to represent a diversity of attributes (Dalton, Daily, Ellstrand and Johnson, 1998). Arthur Levitt, former United States Securities and Exchange Commission Chair, describes the culture of medium sized business directorships as a "kind of a fraternity of CEOs who serve on one another's boards" (Stainburn, 2005). In addition, evidence suggests directors of small- medium businesses are often insufficiently trained for the role. Uncertain directors may, for example, be unwilling to ask crucial questions of managers before making major decisions. "Board members sometimes are made to feel that asking a thorny question or advancing an alternative opinion is disloyal to the administration" (Taylor, Chait and Holland, 2001).

Small and medium businesses, however, are a growing contributor to the national economies of countries internationally. In New Zealand, small and medium-size firms recording large GDP values, ahead of many large businesses, which makes our investigation into good governance practices of SMEs relevant to suggest areas in which these firms can improve their governance policies and practices.

We have reviewed more than 2,000 directors, executives and investors in New Zealand, making this one of the largest non-government surveys in governance. Supported by 16 large corporate organizations, such as KPMG, Business New Zealand, Simpson Grierson, Brook Asset Management, Porter Novelli, Sheffield and 'Management' Magazine, this work suggests that the current processes through which directors are selected and trained to serve on Boards of small and medium businesses needs to be altered. We are also concerned over the lack of director education and the close involvement of the Chief Executives as members of the Boards. There is a general concern over the lack of director independence and whether directors are effective in their roles.

We are recommending an alternative process for SMEs to select directors, which will hopefully expand the available pool of directors in quantity and quality.

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Good governance is recognized as a fundamental indicator of the success of a company. For a small- midsized company, this is particularly so, as such companies must be able to competitively demonstrate their flexibility in the face of market forces. This flexibility is the primary advantage they hold over larger firms (Dalton, Daily, Ellstrand and Johnson, 1998). Such companies, however, can find it difficult to attract good directors (Daum and Neff, 2003) and this makes developing improved strategies of governance a challenge. Taylor, Chait and Holland suggest top directors are not attracted to small/ medium companies because “the stakes remain low, the meetings process-driven, the outcomes ambiguous, and the deliberations insular” (Taylor, Chait and Holland, 2001). We suggest that the attraction of quality directors is a uniquely impacting situation for small and mid-size firms, as it is there where additional management resources should be needed most urgently. Directors on the boards of small-medium sized businesses are often lagging behind directors of large companies in that they are less likely to be independent external directors and are less likely to represent a diversity of attributes (Dalton, Daily, Ellstrand and Johnson, 1998). Arthur Levitt, former United States Securities and Exchange Commission Chair, describes the culture of medium sized business directorships as a “kind of a fraternity of CEOs who serve on one another's boards” (Stainburn, 2005). In addition, evidence suggests directors of small- medium businesses are often insufficiently trained for the role. Uncertain directors may, for example, be unwilling to ask crucial questions of managers before making major decisions. “Board members sometimes are made to feel that asking a thorny question or advancing an alternative opinion is disloyal to the administration” (Taylor, Chait and Holland, 2001). Small and medium businesses, however, are a growing contributor to the national economies of countries internationally. In New Zealand, small and medium-size firms recording large GDP values, ahead of many large businesses, which makes our investigation into good governance practices of SMEs relevant to suggest areas in which these firms can improve their governance policies and practices. We have reviewed more than 2,000 directors, executives and investors in New Zealand, making this one of the largest non-government surveys in governance. Supported by 16 large corporate organizations, such as KPMG, Business New Zealand, Simpson Grierson, Brook Asset Management, Porter Novelli, Sheffield and ‘Management’ Magazine, this work suggests that the current processes through which directors are selected and trained to serve on Boards of small and medium businesses needs to be altered. We are also concerned over the lack of director education and the close involvement of the Chief Executives as members of the Boards. There is a general concern over the lack of director independence and whether directors are effective in their roles. We are recommending an alternative process for SMEs to select directors, which will hopefully expand the available pool of directors in quantity and quality.

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Why do some entrepreneurs succeed while others fail in international competition? Perhaps it is better to turn the question around and ask, why is it that a particular country or economy becomes the home base for competitive globally-oriented entrepreneurs? What makes Australia a global leader in wine exports? How did New Zealand make it to global ranks in the creative industries? Why does Singapore have the most businessfriendly environment for entrepreneurs? Why is it “location, location, location”? One of the most powerful factors is the regulatory environment.

Asia-Pacific country-specific and region-specific regulations are diverse, and they seriously affect the climate for start-up entrepreneurs. They range from best-in-the world (e.g. Australia, New Zealand and Singapore) to the dreadful (Indonesia), according to the World Bank. Costs and profits can be affected as much by a government regulation as by a management decision. Fundamental entrepreneurial decisions--such as which lines of business to go into, which products and services to produce and introduce, which investments to finance, how and where to make goods and how to market them, and what prices to charge--are increasingly subject to governmental control.

In this short paper, we examine World Bank and Transparency International data on Asia-Pacific regulatory environments and make statements about how the economies compare to best practice. While I use data collected by other sources, I believe the added value comes through comparing and contrast the regulatory environments of our region in a justifiable and easily understood manner.

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Ownership concentration as a governance mechanism has received considerable attention among academician, practitioners as well as policy makers because large-block shareholders are increasingly active in their demands that corporations adopt effective governance mechanisms to control managerial decisions, which include corporate debt policy. Earlier study on the agency model of the firm widely recognizes that the managerial ownership and external debt play an important role in mitigating agency conflicts and enhancing firm value. They also found that increase in the external monitors, for example the institutional investors, can actually play a useful role in limiting agency problems in the firm. This paper, using 100 Composite Index companies from Brusa Malaysia between 1998 to 2002 explores the impact of institutional holdings on managerial ownership and debt policy in an integrated framework by using a simultaneous equations estimation procedure (2SLS). The findings show that there is a significant impact of institutional ownership which serves effective control mechanism on managerial ownership and corporate debt policy as hypothesized. Findings of such evidence suggest that institutional holding thus have played an important role in managers' strategic management decision and reduce agency conflict. In addition, corporate debt policy too is governed by managerial ownership and exhibited a negative relation.

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Artificial neural networks and statistical techniques like decision trees, discriminant analysis, logistic regression and survival analysis play a crucial role in Business Intelligence. These predictive analytical tools exploit patterns found in historical data to make predictions about future events. In this paper we have shown some recent developments of a few of these techniques in financial and business intelligence applications like fraud detection, bankruptcy prediction and credit rating scoring.

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This paper considers the post-war development of asset management practices among Australian life insurers, which have historically been among the largest institutional investors in Australia. A complex process of adaptation and organisational restructuring allowed life insurers to transform from basic investors of policy-holders’ funds to large multifaceted institutional investors in just three decades. Three stages in the development of investment practices are identified. These phases trace the process of expanding existing knowledge bases; diversification; and the acquisition of new skills; consolidation and the integration of these skills into institutional structures; thus completing one cycle of organisational learning and setting the stage for the next.

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Multimedia content adaptation allows the ever increasing variety of handheld devices such as Smartphones to access distributed rich media resources available on the Internet today. Path planning and determination is a fundamental problem in enhancing performance of distributed multimedia content adaptation systems. Most of the existing path determination mechanisms use static path determination criteria based solely on associating a path with a single behavior aggregate score. However, some criteria such as availability are best represented using different functionality rather than being accumulated into the aggregate score. Moreover, since selection criteria have different behavior towards the score, this principle need to be considered. In this paper, we propose a dynamic multi-criteria path determination policy that selects an optimal path to the content adaptation services that best meet the user preferences and QoS requirements. The performance of the proposed approach is studied in terms of score’s fairness and reliability under different variations. The results indicate that the proposed policy performs substantially better than the baseline policy.

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The implementation of a BI system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of CSFs for management reference. This article represents a first step of filling in the research gap. The authors utilized the Delphi method to conduct three rounds of studies with 15 BI system experts in the domain of engineering asset management organizations. The study develops a CSFs framework that consists of seven factors and associated contextual elements crucial for BI systems implementation. The CSFs are committed management support and sponsorship, business user-oriented change management, clear business vision and well-established case, business-driven methodology and project management, business-centric championship and balanced project team composition, strategic and extensible technical framework, and sustainable data quality and governance framework. This CSFs framework allows BI stakeholders to holistically understand the critical factors that influence implementation success of BI systems.

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This paper details a system dynamics model developed to simulate proposed changes to water governance through the integration of supply, demand and asset management processes. To effectively accomplish this, interconnected feedback loops in tariff structures, demand levels and financing capacity are included in the model design, representing the first comprehensive life-cycle modelling of potable water systems. A number of scenarios were applied to Australia's populated South-east Queensland region, demonstrating that introducing temporary drought pricing (i.e. progressive water prices set inverse with availability), in conjunction with supply augmentation through rain-independent sources, is capable of efficiently providing water security in the future. Modelling demonstrated that this alternative tariff structure reduced demand in scarcity periods thereby preserving supply, whilst revenues are maintained to build new water supply infrastructure. In addition to exploring alternative tariffs, the potential benefits of using adaptive pressure-retarded osmosis desalination plants for both potable water and power generation was explored. This operation of these plants for power production, when they would otherwise be idle, shows promise in reducing their net energy and carbon footprints. Stakeholders in industry, government and academia were engaged in model development and validation. The constructed model displays how water resource systems can be reorganised to cope with systemic change and uncertainty.