Assessing the economic benefits of starling detection and control to Western Australia

The common starling (Sturnus vulgaris) has a proven invasion history in many countries, and at a continental scale in North America and Australasia. In Australia, starlings are firmly established throughout the eastern states and Tasmania. Incursions of starlings into Western Australia (WA) represent a significant threat to this State’s agricultural, public amenity and biodiversity assets. We present models of starling population dynamics that incorporate environmental and control effort variability. We incorporate knowledge of starling ecology with economic data to assess the potential economic cost of starlings establishing in WA, evaluating the cost–benefits for each management scenario. We calculated starling population size will approach carrying capacity in WA within as little as 30 years if left unchecked. A population of this size could cost the WA economy up to $43.7 million annually in 2011/2012 dollars. Over a 50 year horizon, the conservative benefit–cost ratio for ongoing detection and control at the current level of expenditure is 6.03:1. However, even under current levels of control, starling numbers are projected to increase to almost 11 million by 2061. Further improvements in the efficiency of starling detection and control and/or an increased level of expenditure on detection and control are required.

Communities of enterprise: SMEs, ICT and regional development

Many regional economies have pursued a strategy of stimulating the development of regional clusters. Such clusters typically include small and medium enterprises (SMEs) as a core component of those economies. Effective cluster development in that context depends on SMEs sharing knowledge and generating innovation. ICT networks can be an important resource for this sharing and innovation. This paper proposes the concept of ‘Communities of Enterprise’ to conceptualise the relationships and communication patterns used in cluster development. This concept builds on theoretical understandings of information systems, clustering and regional development. The value creation potential of Communities of Enterprise, supported by ICTs is substantial, but only when the socioeconomic elements of regional clusters are understood. The Community of Enterprise approach addresses the fact that without an industry focus it can be difficult to engage and link SMEs from different industries, although this is where the greatest potential for value creation in regional clusters is to be found. This paper concludes by considering the relevance of Communities of Enterprise for understanding and researching eCluster development in the Australian regional context.

Internal organizational factors influencing sustainable implementation of information systems : experiences from a local government in Indonesia

Many information systems (IS) studies have found that information systems implementation sustainability is determined by internal organizational factors. In general these studies have been conducted in private organizations and these factors may not be applicable to IS implementations sustainability within public organizations. This study examines what internal organizational factors play a role in the sustainable implementation of e-government initiatives using a case study of local e-government in Indonesia. It also considers how these factors contribute to sustainable systems by strengthening stakeholders’ commitment through invoking feelings of involvement as responsibilities are assigned to them. The study concludes that the internal factors contribute to collective action that influences sustainable implementation of information systems. Limitations and future research are briefly discussed.

The separation of ownership and control under a happiness-based theory of the corporation

Explores the happiness-based theory of the corporation, suggesting that there is no conflict between the pursuance of economic and social objectives on the basis that their interplay is required to facilitate shareholder happiness. Considers: (1) the Berle-Means hypothesis and the separation of ownership and control, the dominant governance structure for large companies; (2) a happiness-based perspective on the separation; and (3) law reform applicable to a happiness-based theory. Argues that the separation of ownership and control is not in shareholders' best interests because the structure is not conducive to the happiness of individual shareholders and should be reformed.

International examples of large-scale systems-theory and practice IV: B2B e-commerce implementation in the Australian context

Two of the most commonly used classifications in IS research are the factor approach and the process approach. While many studies of IS implementation are undertaken using a factor approach, little research so far examines the process of e-commerce implementation, especially in relation to the implementation of e-commerce in business-to-business (B2B) relationships. A holistic understanding of implementation which combines both the factor and process approaches using a case study method, is suggested as particularly suitable because of its ability to capture the reality of e-commerce implementation in an organisation's natural environment and in much greater detail than is possible using one of these approaches alone. In this paper, therefore, we endeavour to contribute to what we perceive as a gap in the body of theory surrounding the implementation process in the business-to-business e-commerce literature. We describe the findings of multiple case studies involving ten major Australian e-commerce initiators. In addition to confirming our earlier finding of the importance of non-technical factors for the success of the implementation process we also present, through our case studies, the various management and business issues associated with the success or failure of B2B e-commerce implementation.

Load frequency control of power systems with electric vehicles and diverse transmission links using distributed functional observers

This paper presents a load frequency control scheme using electric vehicles (EVs) to help thermal turbine units to provide the stability fluctuated by load demands. First, a general framework for deriving a state-space model for general power system topologies is given. Then, a detailed model of a four-area power system incorporating a smart and renewable discharged EVs system is presented. The areas within the system are interconnected via a combination of alternating current/high voltage direct current links and thyristor controlled phase shifters. Based on some recent development on functional observers, novel distributed functional observers are designed, one at each local area, to implement any given global state feedback controller. The designed observers are of reduced order and dynamically decoupled from others in contrast to conventional centralized observer (CO)-based controllers. The proposed scheme can cope better against accidental failures than those CO-based controllers. Extensive simulations and comparisons are given to show the effectiveness of the proposed control scheme.

Investigation of an optimistic based concurrency control mechanism for parallel file systems

Parallel file systems offer improved performance over traditional file systems by allowing processes to access file data, stored over a number of disks, in parallel. When this file is to be accessed by many processes at the same time for reading and writing, the problem of maintaining file consistency is introduced. The general approach to maintaining file consistency is through the use locks which grant a single process exclusive access to the file. Existing studies have found parallel file systems and associated applications rarely experience conflict, resulting in unnecessary overheads from locks being acquired. This paper examines an alternate approach to maintaining file consistency, which is based on optimistic concurrency control. This approach was shown to have a much smaller overhead when compared with traditional lock-based approaches; especially in situations when there is little contention. This paper presents the design, implementation and initial testing results of an optimistic based concurrency control mechanism.

Interpersonal trust and control behaviour of Chinese managers

Interpersonal trust is believed to influence the management and control of organisations in China. China's importance as a host country for foreign direct investments (FDIs) through multinational company subsidiaries (MNCs) and international joint ventures (IJVs) is growing rapidly. MNCs and INs located in China often employ local Chinese managers to control their subsidiaries or ventures. This makes it essential for designers of management control systems to have an understanding of the interpersonal trust-sensitive control behaviour of Chinese managers. One of the important aspects of control behaviour is how managers control their subordinates.

This paper examines the relationship between Chinese managers' trust in subordinates and their (Chinese managers') control behaviour towards the subordinates. On the basis of a questionnaire survey of a cohort of managers from Beijing, the study explores the effects of trust on the use of social controls, formal controls, and monitoring.

The findings of this study indicate that a manager's high (low) trust in a subordinate is associated with a low (high) level of monitoring, a high (high) level of social control and a high (low) level of perceived performance. The hypothesis that a superior's high (low) level of trust is associated with a low (high) level of reliance on formal controls was not supported. These findings, while indicative of control behaviour of Chinese managers in particular, also add to the growing academic literature on trust and control in general. In a practical sense, an
understanding of the trust-sensitive control behaviour of Chinese managers is particularly useful in designing and implementing effective control systems for international organisations operating in China.

Fuzzy neural networks for control of dynamic systems

This thesis provides a unified and comprehensive treatment of the fuzzy neural networks as the intelligent controllers. This work has been motivated by a need to develop the solid control methodologies capable of coping with the complexity, the nonlinearity, the interactions, and the time variance of the processes under control. In addition, the dynamic behavior of such processes is strongly influenced by the disturbances and the noise, and such processes are characterized by a large degree of uncertainty. Therefore, it is important to integrate an intelligent component to increase the control system ability to extract the functional relationships from the process and to change such relationships to improve the control precision, that is, to display the learning and the reasoning abilities. The objective of this thesis was to develop a self-organizing learning controller for above processes by using a combination of the fuzzy logic and the neural networks. An on-line, direct fuzzy neural controller using the process input-output measurement data and the reference model with both structural and parameter tuning has been developed to fulfill the above objective. A number of practical issues were considered. This includes the dynamic construction of the controller in order to alleviate the bias/variance dilemma, the universal approximation property, and the requirements of the locality and the linearity in the parameters. Several important issues in the intelligent control were also considered such as the overall control scheme, the requirement of the persistency of excitation and the bounded learning rates of the controller for the overall closed loop stability. Other important issues considered in this thesis include the dependence of the generalization ability and the optimization methods on the data distribution, and the requirements for the on-line learning and the feedback structure of the controller. Fuzzy inference specific issues such as the influence of the choice of the defuzzification method, T-norm operator and the membership function on the overall performance of the controller were also discussed. In addition, the e-completeness requirement and the use of the fuzzy similarity measure were also investigated. Main emphasis of the thesis has been on the applications to the real-world problems such as the industrial process control. The applicability of the proposed method has been demonstrated through the empirical studies on several real-world control problems of industrial complexity. This includes the temperature and the number-average molecular weight control in the continuous stirred tank polymerization reactor, and the torsional vibration, the eccentricity, the hardness and the thickness control in the cold rolling mills. Compared to the traditional linear controllers and the dynamically constructed neural network, the proposed fuzzy neural controller shows the highest promise as an effective approach to such nonlinear multi-variable control problems with the strong influence of the disturbances and the noise on the dynamic process behavior. In addition, the applicability of the proposed method beyond the strictly control area has also been investigated, in particular to the data mining and the knowledge elicitation. When compared to the decision tree method and the pruned neural network method for the data mining, the proposed fuzzy neural network is able to achieve a comparable accuracy with a more compact set of rules. In addition, the performance of the proposed fuzzy neural network is much better for the classes with the low occurrences in the data set compared to the decision tree method. Thus, the proposed fuzzy neural network may be very useful in situations where the important information is contained in a small fraction of the available data.

Issues of power and control within women's experience of breastfeeding following childbirth

In this interpretive study, six women who have had some difficulty with breastfeeding, tell of their experiences of breastfeeding following childbirth. These stories are discussed using the feminist poststructuralist theory of discourse analysis, as presented by Weedon (1987). The women's stories reveal a wide range of experiences, and conflicting discourses, many of which relate to issues of power and control surrounding breastfeeding.