14281951
Developing a Theory to Explain the Insights Gained Concerning Information Systems and Business Process Behaviour: The ASSESS-IT Project
Business Process (BP) literature promotes the value of business processes as essential gearwheels that help organisations to reach their goals. Similarly, many process design approaches claim that information technology is a major enabler of business process, a view also shared by the Information Systems (IS) community. Despite this, BP and IS approaches do not provide clear guidance on how to coordinate the design of BP and IS. Nor is any indication of which modelling techniques could be used to detect and design IT opportunities within a business process context given.The ASSESS-IT project examined this domain and proposed the use of simulation techniques to achieve BP and IT integration. The outcome of this project gave indication that depicting the dynamic behaviour of IS could be very helpful for BP modellers to predict the impact that the insertion of IS may have on organisational processes. This paper proposes a simulation framework to depict IS behaviour within a BP simulation model, namely BPS/ISS, and tests it using the case study that was part of the ASSESS-IT project.
2076128
Simulation in healthcare management: a soft approach (MAPIU)
Abstract Simulation application in healthcare is not as widely perceived for problem solving as it is in other application areas. This might be due to the way simulation is applied in healthcare modelling, as it follows a traditionally based on engineering approach. This may not be a problem in itself; however, healthcare systems are often complex in that they involve multiple decision-makers and thus understanding and communication between the various stakeholders is potentially problematic. Problem understanding and efficient communication means can widely contribute to the solution; consequently a modelling approach is proposed in this paper to enhance such understanding and communication. The approach is based on participation of stakeholders; it is also iterative. An example is given aiming to show how this approach has been used to successfully facilitate the modelling process, concluding that involving stakeholders throughout enables them to fully appreciate the findings. This approach thus serves to enrich the communication process.
61982690
Fitting the jigsaw of citation: information visualization in domain analysis
Domain visualization is one of the new research fronts resulted from the proliferation of information visualization, aiming to reveal the essence of a knowledge domain. Information visualization plays an integral role in modeling and representing intellectual structures associated with scientific disciplines. In this article, the domain of computer graphics is visualized based on author cocitation patterns derived from an 18-year span of the prestigious IEEE Computer Graphics and Applications (1982-1999). This domain visualization utilizes a series of visualization and animation techniques, including author cocitation maps, citation time lines, animation of a high-dimensional specialty space, and institutional profiles. This approach not only augments traditional domain analysis and the understanding of scientific disciplines, but also produces a persistent and shared knowledge space for researchers to keep track the development of knowledge more effectively. The results of the domain visualization are discussed and triangulated in a broader context of the computer graphics field.
44704413
Operational Use evaluation of IT investments: An investigation into potential benefits
Abstract The process of evaluation of IT projects often seems to cease just as quantifiable results start to become available—in Operational Use (OU). This paper investigates OU IT evaluation and contrasts it with the evaluation undertaken during the specification, construction, and testing of IT projects; which we choose to call Prior Operational Use (POU) to distinguish it from OU. Analysis of 123 usable responses from the FTSE 500 companies, show that many companies appear not to undertake OU evaluation. However, where OU evaluation was conducted, it appears to be of clear value to the organisations. Benefits claimed include the ability to assess deviations from their original plans, and to provide a basis for validating the original methods used (in their POU evaluations).
1213745
Migrating Agile Methods to Standardized Development Practice
Situated process and quality frameworks offer a way to resolve the tensions that arise when introducing agile methods into standardized software development engineering. For these to be successful, however, organizations must grasp the opportunity to reintegrate software development management, theory, and practice.
17715219
A hierarchical framework for evaluating simulation software
Abstract In simulation software selection problems, packages are evaluated either on their own merits or in comparison with other packages. In either method, a comprehensive list of criteria for evaluation of simulation software is essential for proper selection. Although various simulation software evaluation checklists do exist, there are differences in the lists provided and the terminologies used. This paper presents a hierarchical framework for simulation software evaluation consisting of seven main groups and several subgroups. An explanation for each criterion is provided and an analysis of the usability of the proposed framework is further discussed.
39791639
Simulation optimisation using a genetic algorithm
Abstract The paper presents an attempt to apply genetic algorithms (GAs) to the problem of optimising an existing simulation model. A simple real-coded GA is presented and used to change the simulation model parameters. With each new parameter set proposed, a simulation run is performed. From the statistics gathered by running the simulation, a goal function is constructed that measures the quality of these parameters. Because of its nature and the stochastic and unpredictable behaviour of the complex simulation model, the goal function used leads to a highly non-linear, noisy and mixed (discrete and continuous) programming optimisation problem. A GA successfully works on it, and as a result gives a parameter set that measures substantially better than the nominal one. This demonstrates the capability of GAs to solve hard inverse problems even in the area of complex simulation model optimisation.