206 resultados para investment decision making

em Deakin Research Online - Australia


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The research objective was to perform a critical evaluation and comparison of four, representative Business Plan Evaluation Aids (BPEA) to facilitate constructive discussion of the proposition that greater standardisation of venture capital decision-making might be both desirable and possible.

The four BPEA were systematically compared using a structured, taxonomic process employing seven key criteria. The evidence of this investigation suggests a clear superiority for BPEAs, which are based on the known attributes of successful ventures and use actuarial modelling. Discussion centred on the importance of using BPEAs in a quest for greater consistency of venture capital investment decision-making.

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The results of an experimental study of retail investors' use of eXtensible Business Reporting Language tagged (interactive) data and PDF format for making investment decisions are reported. The main finding is that data format made no difference to participants' ability to locate and integrate information from statement footnotes to improve investment decisions. Interactive data were perceived by participants as quick and ‘accurate’, but it failed to facilitate the identification of the adjustment needed to make the ratios accurate for comparison. An important implication is that regulators and software designers should work to reduce user reliance on the comparability of ratios generated automatically using interactive data.

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This study examined the criteria used by venture capitalists to evaluate business plans in order to make investment decisions. A literature survey revealed two competing theories: 'espoused criteria' where evaluation decisions are based on what venture capitalists say are the decisive factors, versus the use of 'known attributes' that successful ventures actually possess. Brunswik's Lens Model from Social Judgment Theory guided an empirical investigation of several different evaluation methods based on information contained in 129 business plans submitted for venture capital over a three-year period. Data evaluation culminated in the comparison of the percentage of correct decisions ('hit rate') for each method. We found that decisions based on the known attributes of successful ventures have significantly better hit rates than decisions made using espoused criteria. Discussion centered on the goal of achieving consistency in the conduct of venture analysis. Process standardization can aid in the achievement of consistency. Future research will both deepen and broaden insights.

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Electronic commerce and the Internet have created demand for automated systems that can make complex decisions utilizing information from multiple sources. Because the information is uncertain, dynamic, distributed, and heterogeneous in nature, these systems require a great diversity of intelligent techniques including expert systems, fuzzy logic, neural networks, and genetic algorithms. However, in complex decision making, many different components or sub-tasks are involved, each of which requires different types of processing. Thus multiple such techniques are required resulting in systems called hybrid intelligent systems. That is, hybrid solutions are crucial for complex problem solving and decision making. There is a growing demand for these systems in many areas including financial investment planning, engineering design, medical diagnosis, and cognitive simulation. However, the design and development of these systems is difficult because they have a large number of parts or components that have many interactions. From a multi-agent perspective, agents in multi-agent systems (MAS) are autonomous and can engage in flexible, high-level interactions. MASs are good at complex, dynamic interactions. Thus a multi-agent perspective is suitable for modeling, design, and construction of hybrid intelligent systems. The aim of this thesis is to develop an agent-based framework for constructing hybrid intelligent systems which are mainly used for complex problem solving and decision making. Existing software development techniques (typically, object-oriented) are inadequate for modeling agent-based hybrid intelligent systems. There is a fundamental mismatch between the concepts used by object-oriented developers and the agent-oriented view. Although there are some agent-oriented methodologies such as the Gaia methodology, there is still no specifically tailored methodology available for analyzing and designing agent-based hybrid intelligent systems. To this end, a methodology is proposed, which is specifically tailored to the analysis and design of agent-based hybrid intelligent systems. The methodology consists of six models - role model, interaction model, agent model, skill model, knowledge model, and organizational model. This methodology differs from other agent-oriented methodologies in its skill and knowledge models. As good decisions and problem solutions are mainly based on adequate information, rich knowledge, and appropriate skills to use knowledge and information, these two models are of paramount importance in modeling complex problem solving and decision making. Follow the methodology, an agent-based framework for hybrid intelligent system construction used in complex problem solving and decision making was developed. The framework has several crucial characteristics that differentiate this research from others. Four important issues relating to the framework are also investigated. These cover the building of an ontology for financial investment, matchmaking in middle agents, reasoning in problem solving and decision making, and decision aggregation in MASs. The thesis demonstrates how to build a domain-specific ontology and how to access it in a MAS by building a financial ontology. It is argued that the practical performance of service provider agents has a significant impact on the matchmaking outcomes of middle agents. It is proposed to consider service provider agents' track records in matchmaking. A way to provide initial values for the track records of service provider agents is also suggested. The concept of ‘reasoning with multimedia information’ is introduced, and reasoning with still image information using symbolic projection theory is proposed. How to choose suitable aggregation operations is demonstrated through financial investment application and three approaches are proposed - the stationary agent approach, the token-passing approach, and the mobile agent approach to implementing decision aggregation in MASs. Based on the framework, a prototype was built and applied to financial investment planning. This prototype consists of one serving agent, one interface agent, one decision aggregation agent, one planning agent, four decision making agents, and five service provider agents. Experiments were conducted on the prototype. The experimental results show the framework is flexible, robust, and fully workable. All agents derived from the methodology exhibit their behaviors correctly as specified.

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The concept of paternalism is deeply entrenched in health care. Decision-making about health care can be extremely difficult at times, and many competing interests may influence the outcomes. However, ethically defensible practice aligns itself with acknowledging the patient's prima facie right to be treated as an autonomous individual. This includes the patient's right to make informed decisions or to decide that other(s), such as the close family, should make decisions on his or her behalf. (author abstract)

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The substituted judgement principle is often recommended as a means of promoting the self-determination of an incompetent individual when proxy decision makers are faced with having to make decisions about health care. This article represents a critical ethical analysis of this decision-making principle and describes practical impediments that serve to undermine its fundamental purpose. These impediments predominantly stem from the informality associated with the application of the substituted judgement principle. It is recommended that the principles upon which decisions are made about health care for another person should be transparent to all those involved in the process. Furthermore, the substituted judgement principle requires greater rigour in its practical application than currently tends to be the case. It may be that this principle should be subsumed as a component of advance directives in order that it fulfils its aim of serving to respect the self-determination of incompetent individuals.

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Little is known about the acquisition of decision-making skills in nursing students as a function of experience and academic ability. Knowing how experience and academic skills interact may help inform clinical education programs and formulate ways of assessing students' progress. The aims of the present study were to develop a problem-solving task capable of measuring clinical decision-making skills in novice nurses at different levels of domain-specific knowledge; and to establish the relative impact on decision-making of domain-specific knowledge and general ability as determinants of the acquisition of decision-making skills. Three types of clinical problems of increasing complexity were developed. Sixty second-year and third-year student nurses with high and low academic scores were studied in terms of their ability to generate hypotheses for a hypothetical case, recognize disconfirming information and the need to access additional information, and diagnostic accuracy. The results showed that general academic ability and knowledge function partly independently in the acquisition of expertise in nursing. Academic ability affects decision-making in low complexity tasks, but as case complexity increases, domain-specific knowledge and experience determines decision-making skills. There are important differences in the way novices with different levels of knowledge and ability make clinical decisions and these can be studied by systematically increasing the complexity of the decision task. These results have implications for the way in which clinical education is structured and evaluated.

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Purpose
The purpose of this study was to explore the extent and sources of variability of critical care nurses’ hemodynamic decision making as a function of contextual factors in the immediate 2-hour period after cardiac surgery.

Methods
A qualitative exploratory design with observation and interview was used. Eight critical care nurses were observed on different occasions in clinical practice for a 2-hour period. A brief interview immediately followed each observation to clarify observation data.

Findings
Analysis of the data revealed that patient management decisions were made both by individual nurses and by a team of nurses and health professionals. Team decision making (TDM) is described in this study as integrated or non-integrated and refers to an intra-professional nursing team. During displays of integrated TDM, the primary nurse, who was assigned to care for the patient, made most hemodynamic decisions and nurses who assisted the primary nurse deferred decisions. During displays of non-integrated TDM, nurses assisting the primary nurse assumed responsibilities for most patient-related decisions. Non-integrated TDM occurred more frequently when inexperienced cardiac surgical intensive care nurses were in the role of primary nurse, whereas integrated TDM was more common among experienced cardiac surgical intensive care nurses.

Conclusions
This observed variability can occur in multiple ways and in hemodynamic decision making has implications for patient outcomes as behaviors of non-integrated TDM led to nurses sensing a loss of control of patient management.

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The quality of critical care nurses' decision making about patients' hemodynamic status in the immediate period after cardiac surgery is important for the patients' well-being and, at times, survival. The way nurses respond to hemodynamic cues varies according to the nurses' skills, experiences, and knowledge. Variability in decisions is also associated with the inherent complexity of hemodynamic monitoring. Previous methodological approaches to the study of hemodynamic assessment and treatment decisions have ignored the important interplay between nurses, the task, and the environment in which these decisions are made. The advantages of naturalistic decision making as a framework for studying the manner in which nurses make decisions are presented.

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Research over the last 30 years has examined the way in which young people make decisions about participating in sexual behaviours. This research is limited in that theoretical developments in the area have either not been subjected to empirical scrutiny, or are not consistent with empirical findings. The current study used a modified form of the Theory of Planned Behavior (TPB) as a theoretical position for a longitudinal exploration (over a 6-month period) of sexual decision making in a group of young adult women. One hundred and fifty-six young women aged between 18 and 21 years were involved in the study. Regression analysis were used to evaluate the predictors of intention to engage in six types of sexual behaviours at time 1, as well as experiences of these behaviours at time 2. The study found that intention to engage in sexual behaviour was reasonably well predicted using the constructs of TPB. However, behaviour was not well predicted using the variables in TPB, with the most important predictors of most sexual behaviours being past experience and perceived behavioural control, but not intention to engage in the behaviours. Implications of these findings and directions for future research are discussed.

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In this paper a mechanism that is the brain child of the authors, has been proposed to overcome the potential manipulation of results as a direct consequence of the applied weightings. It is known as the Interlink Decision Making Index

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The purpose of this article is to explain why recent corporate governance reforms and initiatives proclaiming to enhance shareholder participation and elevate shareholder rights, do not go far enough. Indeed, it is suggested that corporate governance polices and reform programs, which have emerged across the world in response to a number of high-profile corporate collapses, act to re-emphasise the limited, 'passive' role which individual shareholders have traditionally experienced in public companies. Although increasing the amount information provided to shareholders about corporate decisions and strategies, and providing shareholders with a greater opportunity to participate in annual general meetings, do go some way in 'empowering' shareholders, it is argued that shareholders essentially remain passive observers, rather than becoming active participants. To become active participants, or corporate governance 'insiders " it is argued that corporate law needs to be directed at piercing the 'decision-making sphere' for individual shareholders in public companies. This involves accommodating an active role for shareholders in the actual decision-making processes of the corporation, rather than simply being informed of decisions that are made and being entitled to veto decisions at the annual general meeting. The second part of the article looks specifically at how the 'oppression' or 'unfair prejudice' remedy, the most commonly used shareholder remedy, is capable - if reformulated so that the pursuit of happiness, rather than vague notions of 'fairness' and 'justice' is the central objective of the remedy - of being used to influence a change of culture within public companies directed at facilitating an active participatory role for shareholders.