The impact of enterprise resource planning systems on management accounting : an Australian study

Information technology is significantly changing the operating practices of an increasing number of companies globally. These developments have important implications for the accounting profession and in particular accounting practices in the twenty-first century. This study examines the development of enterprise resource planning (ERP) systems as a means of illustrating how changes in information technology allows all systems in a company to be linked to manage operations holistically.

The study investigates the change in accounting systems using a sample of Australian companies with emphasis on the adoption of ERP systems including the potential impact of ERP on capital budgeting processes. The results show that ERP systems are changing management accounting practices, although at this stage, the impact on capital budgeting techniques appears to be limited. The findings contribute to the emerging body of literature on the development of ERP systems and its impact on management accounting teaching and research.

Communication network analysis of the enterprise grid systems

This paper addresses the problem of performance analysis based on communication modelling of largescale heterogeneous distributed systems with emphases on enterprise grid computing systems. The study of communication layers is important because the overall performance of a distributed system is often critically hinged on the effectiveness of this part. This model considers processor as well as network heterogeneity of target system. The model is validated through comprehensive simulation, which demonstrates that the proposed model exhibits a good degree of accuracy for various system sizes and under different working conditions. The proposed model is then used to investigate the performance analysis of typical systems.

Staff perceptions of the implementation of enterprise resource planning systems in three Australian universities

This chapter reports a study that examined the staff perceptions of the implementation of an Enterprise Resource Planning system (ERPs) in three Australian universities. The literature on issues impacting on effective Enterprise Resource Planning (ERP) implementations identified a number of issues that translate from the corporate sector to the higher education sector and included a number that require particular focus in this sector. Case study methodology is used to examine the staff perceptions of the management of ERP implementations in three Australian universities in the process of implementing ERP systems. The study was conducted in two phases. The first phase of the study obtained data through a series of focus groups at one university and, combined with an analysis of the relevant literature served as a framework for the development of the research process in the second phase of the study. This phase involved in depth interviews with staff that enabled the researcher to undertake a more detailed exploration of the staff perceptions of influences affecting ERP system implementations at three Australian universities. This chapter reports that staff perceptions of the process of ERP implementations are central to their efficacious implementations in Australian universities. Staff perceptions demonstrate that particular consideration of organisational influences related to their context and the perceptions of the users of the systems must be factored into the planning for ERP implementations in Universities.

Adaptive hierarchical scheduling policy for enterprise grid computing systems

In an enterprise grid computing environments, users have access to multiple resources that may be distributed geographically. Thus, resource allocation and scheduling is a fundamental issue in achieving high performance on enterprise grid computing. Most of current job scheduling systems for enterprise grid computing provide batch queuing support and focused solely on the allocation of processors to jobs. However, since I/O is also a critical resource for many jobs, the allocation of processor and I/O resources must be coordinated to allow the system to operate most effectively. To this end, we present a hierarchical scheduling policy paying special attention to I/O and service-demands of parallel jobs in homogeneous and heterogeneous systems with background workload. The performance of the proposed scheduling policy is studied under various system and workload parameters through simulation. We also compare performance of the proposed policy with a static space–time sharing policy. The results show that the proposed policy performs substantially better than the static space–time sharing policy.

Efficient resource selection algorithm for enterprise grid systems

This paper addresses a resource selection problem for applications that update data in enterprise grid systems. The problem is insufficiently addressed as most of the existing resource selection approaches in grid environments primarily deal with read-only job. We propose a simple yet efficient algorithm that deals with the complexity of resource selection problem in enterprise grid systems. The problem is formulated as a Multi Criteria Decision Making (MCDM) problem. Our proposed algorithm hides the complexity of resource selection process without neglecting important components that affect job response time. The difficulty on estimating job response time is captured by representing them in terms of different QoS criteria levels at each resource. Our experiments show that the proposed algorithm achieves very good results with good system performance as compared to existing algorithms.

Exploring the use of enterprise content management systems in different types of Organisations

Researchers and practitioners are starting to realize that it is unlikely that the full advantage of Electronic Content Management Systems (ECMS) can be realized unless both the technology capabilities and organisational context are taken into consideration. This study explores ECMS use in Replication, Diversification, Unification and Coordination type of organisations. A framework of ECMS-use is proposed suggesting different ways of using ECMS to support diverse organisational needs. Following a qualitative case study research approach, interviews were conducted with IT and business managers and ECMS users from each of the four types of organisations. Results suggest that, depending on the organisation’s business needs, ECMS use in organisations can be categorized as 1) Minimal-use, 2) Standard Adoption-use, 3) Customized-use or 4) Leveraged-use. Findings suggest that managers can gain more realistic benefits from ECMS use by understanding why and how different types of ECMS-use can support the way in which their businesses operate.

Usage of enterprise modeling processes and information systems design to forecast demand

Managing the great complexity of enterprise system, due to entities numbers, decision and process varieties involved to be controlled results in a very hard task because deals with the integration of its operations and its information systems. Moreover, the enterprises find themselves in a constant changing process, reacting in a dynamic and competitive environment where their business processes are constantly altered. The transformation of business processes into models allows to analyze and redefine them. Through computing tools usage it is possible to minimize the cost and risks of an enterprise integration design. This article claims for the necessity of modeling the processes in order to define more precisely the enterprise business requirements and the adequate usage of the modeling methodologies. Following these patterns, the paper concerns the process modeling relative to the domain of demand forecasting as a practical example. The domain of demand forecasting was built based on a theoretical review. The resulting models considered as reference model are transformed into information systems and have the aim to introduce a generic solution and be start point of better practical forecasting. The proposal is to promote the adequacy of the information system to the real needs of an enterprise in order to enable it to obtain and accompany better results, minimizing design errors, time, money and effort. The enterprise processes modeling are obtained with the usage of CIMOSA language and to the support information system it was used the UML language.

Linked services for M2M communication with Enterprise IT systems

Linking the physical world to the Internet, also known as the Internet of Things, has increased available information and services in everyday life and in the Enterprise world. In Enterprise IT an increasing number of communication is done between IT backend systems and small IoT devices, for example sensor networks or RFID readers. This introduces some challenges in terms of complexity and integration. We are working on the integration of IoT devices into Enterprise IT by leveraging SOA techniques and Semantic Web technologies. We present a SOA based integration platform for connecting WSNs and large enterprise business processes. For ensuring interoperability our platform is based on Linked Services. These are thoroughly described, machine-readable, machine-reasonable service descriptions.

SLA-Driven Simulation of Multi-Tenant Scalable Cloud-Distributed Enterprise Information Systems

Cloud Computing is an enabler for delivering large-scale, distributed enterprise applications with strict requirements in terms of performance. It is often the case that such applications have complex scaling and Service Level Agreement (SLA) management requirements. In this paper we present a simulation approach for validating and comparing SLA-aware scaling policies using the CloudSim simulator, using data from an actual Distributed Enterprise Information System (dEIS). We extend CloudSim with concurrent and multi-tenant task simulation capabilities. We then show how different scaling policies can be used for simulating multiple dEIS applications. We present multiple experiments depicting the impact of VM scaling on both datacenter energy consumption and dEIS performance indicators.

A Model-Based Monitoring Architecture for Heterogeneous Enterprise Services and Information Systems

Runtime management of distributed information systems is a complex and costly activity. One of the main challenges that must be addressed is obtaining a complete and updated view of all the managed runtime resources. This article presents a monitoring architecture for heterogeneous and distributed information systems. It is composed of two elements: an information model and an agent infrastructure. The model negates the complexity and variability of these systems and enables the abstraction over non-relevant details. The infrastructure uses this information model to monitor and manage the modeled environment, performing and detecting changes in execution time. The agents infrastructure is further detailed and its components and the relationships between them are explained. Moreover, the proposal is validated through a set of agents that instrument the JEE Glassfish application server, paying special attention to support distributed configuration scenarios.