Do Process Modelling Techniques Get Better? A Comparative Ontological Analysis of BPMN

Current initiatives in the field of Business Process Management (BPM) strive for the development of a BPM standard notation by pushing the Business Process Modeling Notation (BPMN). However, such a proposed standard notation needs to be carefully examined. Ontological analysis is an established theoretical approach to evaluating modelling techniques. This paper reports on the outcomes of an ontological analysis of BPMN and explores identified issues by reporting on interviews conducted with BPMN users in Australia. Complementing this analysis we consolidate our findings with previous ontological analyses of process modelling notations to deliver a comprehensive assessment of BPMN

Improving the quality of process reference models: A quality function deployment-based approach

Little academic work exists on managing reference model development and measuring reference model quality, yet there is a clear need for higher quality reference models. We address this gap by developing a quality management and measurement instrument. The foundation for the instrument is the well-known Quality Function Deployment (QFD) approach. The QFD-based approach incorporates prior research on reference model requirements and development approaches. Initial evaluation of the instrument is carried out with a case study of a logistic reference process. The case study reveals that the instrument is a valuable tool for the management and estimation of reference model quality

In order to fully realise the value of open data researchers must first address the quality of the datasets

There has been a phenomenal increase in the availability of data over the last decade. Open data is provided as a means of empowering users with information and in the hope of sparking innovation and increased efficiency in governments and businesses. However, in spite of the many success stories based on the open data paradigm, concerns remain over the quality of such datasets. Marta Indulska and Shazia Sadiq argue that in order to facilitate more effective and efficient realisation of value from open data, research must reach a shared consensus on the definition of data quality dimensions, provide methods and guidelines for assessing the potential usefulness of open datasets using exploratory tools and techniques, and develop rigorous theoretical underpinnings on effective use of open data

A simulation tool to study methods of addressing of resources of a network operating system

In the paper a simulation tool to study an effectiveness of different methods of addressing of resources in network operating system and simulation experiments have been presented. This model makes it possible to study network operating systems with a static addressing of resources and network operating systems with admissible dynamic change of addresses of resources in a local area network. To carry on experiments the model of the network operating system has been extended adding a model of environment demands. The later has been constructed in such a way that it is not necessary to consider an influence of different methods of resource addressing on a distribution of arrival moments of those environment demands. The simulation tool presented here has been developed on the basis of a logical model of the network operating system constructed earlier [Gos 86]. The tool described in this paper could be treated as a basic one because it is possible to use many parts of it to construct other tools making possible simulation studies of other problems of network operating system (e.g., the effectiveness of distribution of resource management, synchronization). The simulation carried out shows that the simulation tool constructed can be effectively used to study the influence of different methods of resource addressing on a performance of network operating systems

Business Process Management: Saving the Planet?

Organisational and government concerns about environmental sustainability (ES) are on the increase. While a significant amount of research from a wide range of domains has addressed various ES challenges, intuitively, Business Process Management (BPM), with its focus on process improvement and process performance measurement, has much to offer the ES field. In this paper we aim to understand the BPM research contribution to ES, including specific Environmental Performance Indicators (EPI), and the BPM concepts that have been utilized in the ES context. To this end we conduct a systematic literature review to capture prior research focused on BPM and ES, coding the articles according to their contribution to EPIs and other ES concepts, while also contrasting their focus with main challenges identified in industry reports. Our study identifies which EPIs have been addressed in prior BPM research and highlights areas of future contribution

A model of a distributed operating system

In this paper a logical model of a distributed operating system has been presented. This model of a distributed operating system contains a set of processes managing resources, connections between these processes, and mappings of events controlling this distributed operating system into processes managing resources. The fundamental types of resources introduced by the architecture of local computer networks, i.e., messages and data structures describing the location of resources in the network, have been defined. Operations on these resources and connections between the processes managing them and processes managing other resources of the distributed operating system have been presented. Addressing processes have been discussed. The model has been constructed in such a way that a synthesis of different simulation tools (models) to study distributed operating systems can be carried out. In particular, this model makes it possible to construct simulation tools to study the effectiveness of distributed operating systems with processes managing resources defined in different ways.That means that the model has been developed in such a way to be both a concept and a tool like the model developed by A. K. Jones. The later was treated by us as a background model

Compliance Centric Data Quality Management – The Banking and Financial Industry Perspective

The banking and financial industry is subject to a large number of regulations, including several recent data quality regulations, which makes it difficult for organisations to judge the effort and cost involved in compliance to multiple, often overlapping, regulatory obligations. The aim of this paper is to identify and analyse data quality related regulations, and map them against a common set of data quality dimensions to expose overlaps and inconsistencies to inform compliance efforts. In our study we identify seven global data quality regulations/frameworks applicable to the banking and financial industry and conduct a systematic analysis of data quality stipulations within. Our study explores the breadth and depth of coverage of data quality dimensions in the regulations, and identifies inherent overlaps and inconsistencies. We argue that understanding of data quality requirements within and across the regulations is an essential first step towards the design of new approaches for compliance centric data quality management