ORCID Profile
0000-0001-9568-4035
Current Organisations
University of Melbourne
,
Southeast University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Information Systems | Information Systems Development Methodologies | Information Systems Management | Simulation and Modelling | Artificial Intelligence and Image Processing | Information Engineering and Theory | Bioprocessing, Bioproduction and Bioproducts | Pattern Recognition and Data Mining | Software Engineering
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences | Computer Software and Services not elsewhere classified | Human Pharmaceutical Treatments (e.g. Antibiotics) | Application Software Packages (excl. Computer Games) | Application Tools and System Utilities | Human Biological Preventatives (e.g. Vaccines) |
Related Links
Publications
Structural and Behavioral Biases in Process Comparison Using Models and Logs
Publisher: Springer International Publishing
Date: 2021
Understanding business process models: The costs and benefits of structuredness
Publisher: Springer International Publishing
Date: 2012
APROMORE: An advanced process model repository
Publisher: Elsevier BV
Date: 06-2011
Modelling business process variability for design-time configuration
Publisher: IGI Global
Date: 2009
DOI: 10.4018/978-1-60566-288-6.CH009
Abstract: A reference process model represents multiple variants of a common business process in an integrated and reusable manner. It is intended to be in idualized in order to fit the requirements of a specific organization or project. This practice of in idualizing reference process models provides an attractive alternative with respect to designing process models from scratch in particular, it enables the reuse of proven practices. This chapter introduces techniques for representing variability in the context of reference process models, as well as techniques that facilitate the in idualization of reference process models with respect to a given set of requirements.
Business process model merging: An approach to business process consolidation
Publisher: Association for Computing Machinery (ACM)
Date: 03-2013
Abstract: This article addresses the problem of constructing consolidated business process models out of collections of process models that share common fragments. The article considers the construction of unions of multiple models (called merged models ) as well as intersections (called digests ). Merged models are intended for analysts who wish to create a model that subsumes a collection of process models -- typically representing variants of the same underlying process -- with the aim of replacing the variants with the merged model. Digests, on the other hand, are intended for analysts who wish to identify the most recurring fragments across a collection of process models, so that they can focus their efforts on optimizing these fragments. The article presents an algorithm for computing merged models and an algorithm for extracting digests from a merged model. The merging and digest extraction algorithms have been implemented and tested against collections of process models taken from multiple application domains. The tests show that the merging algorithm produces compact models and scales up to process models containing hundreds of nodes. Furthermore, a case study conducted in a large insurance company has demonstrated the usefulness of the merging and digest extraction operators in a practical setting.
Configurable workflow models
Publisher: World Scientific Pub Co Pte Lt
Date: 06-2008
DOI: 10.1142/S0218843008001798
Abstract: Workflow modeling languages allow for the specification of executable business processes. They, however, typically do not provide any guidance for the adaptation of workflow models, i.e. they do not offer any methods or tools explaining and highlighting which adaptations of the models are feasible and which are not. Therefore, an approach to identify so-called configurable elements of a workflow modeling language and to add configuration opportunities to workflow models is presented in this paper. Configurable elements are the elements of a workflow model that can be modified such that the behavior represented by the model is restricted. More precisely, a configurable element can be either set to enabled, to blocked, or to hidden. To ensure that such configurations lead only to desirable models, our approach allows for imposing so-called requirements on the model's configuration. They have to be fulfilled by any configuration, and limit therefore the freedom of configuration choices. The identification of configurable elements within the workflow modeling language of YAWL and the derivation of the new "configurable YAWL" language provide a concrete ex le for a rather generic approach. A transformation of configured models into lawful YAWL models demonstrates its applicability.
Understanding user differences in open-source workflow management system usage intentions
Publisher: Elsevier BV
Date: 05-2012
Managing Process Model Collections with AProMoRe
Publisher: Springer Berlin Heidelberg
Date: 2010
Preserving correctness during business process model configuration
Publisher: Association for Computing Machinery (ACM)
Date: 05-2010
DOI: 10.1007/S00165-009-0112-0
Abstract: A configurable process model captures a family of related process models in a single artifact. Such models are intended to be configured to fit the requirements of specific organizations or projects, leading to in idualized process models that are subsequently used for domain analysis or solution design. This article proposes a formal foundation for in idualizing configurable process models incrementally, while preserving correctness, both with respect to syntax and behavioral semantics. Specifically, assuming the configurable process model is behaviorally sound, the in idualized process models are guaranteed to be sound. The theory is first developed in the context of Petri nets and then extended to a process modeling notation widely used in practice, namely Event-driven Process Chains.
AI-augmented Business Process Management Systems: A Research Manifesto
Publisher: Association for Computing Machinery (ACM)
Date: 31-01-2023
DOI: 10.1145/3576047
Abstract: AI-augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the execution of business processes with the aim of making these processes more adaptable, proactive, explainable, and context-sensitive. This manifesto presents a vision for ABPMSs and discusses research challenges that need to be surmounted to realize this vision. To this end, we define the concept of ABPMS, we outline the lifecycle of processes within an ABPMS, we discuss core characteristics of an ABPMS, and we derive a set of challenges to realize systems with these characteristics.
Explore How Online Healthcare Can Influence Willingness to Seek Offline Care
Publisher: MDPI AG
Date: 28-06-2022
Abstract: With the recent development of internet healthcare, many hospitals have laid out their online platforms. However, there have been some poor service levels and low quality. The frequency of such problems has led to a decline in patient satisfaction. Therefore, it is vital to explore how hospitals can improve user satisfaction and willingness to visit them offline by setting up an online presence. Most studies conducted so far have remained limited to the single dimension of online or offline healthcare, with few studies exploring the relationship between them. While a few studies have explored the impact of online service quality on willingness to seek offline care, they also face the problem of a single perspective of analysis. Therefore, this study constructs a multidimensional model of the factors influencing online healthcare users’ willingness to seek offline care by integrating the value-based adoption model and the stimulus–organism–response model. Through a partial least squares-structural equation modelling analysis of 283 valid s les, this study found that online doctor–patient interactions and service quality positively impact user perception. This paper explores the development path of online healthcare from a new theoretical perspective. In addition, the findings provide new guidelines for hospitals to achieve economic and social benefits.
Configurable process models: Experiences from a municipality case study
Publisher: Springer International Publishing
Date: 2009
BPM use cases - Structuring the business process management discipline
Publisher: Springer Science and Business Media LLC
Date: 05-08-2014
Efficient querying of large process model repositories
Publisher: Elsevier BV
Date: 2013
The Rise of Enforceable Business Processes from the Hashes of Blockchain-Based Smart Contracts
Publisher: Springer International Publishing
Date: 2019
Fragment-based version management for repositories of business process models
Publisher: Springer Berlin Heidelberg
Date: 2011
Questionnaire-based variability modeling for system configuration
Publisher: Springer Science and Business Media LLC
Date: 06-06-2009
Complete and Interpretable Conformance Checking of Business Processes
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2018
Automated Discovery of Process Models from Event Logs: Review and Benchmark
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Einführung in das Geschäftsprozessmanagement
Publisher: Springer Berlin Heidelberg
Date: 2021
How Live Streaming Interactions and Their Visual Stimuli Affect Users’ Sustained Engagement Behaviour—A Comparative Experiment Using Live and Virtual Live Streaming
Publisher: MDPI AG
Date: 20-07-2022
DOI: 10.3390/SU14148907
Abstract: With the massive expansion in live streaming, enhancing the sustained engagement of users has become a key issue in ensuring its success. This study examines the relationship between real-time interaction, user perceptions, user intention to keep using live streaming, and whether this relationship differs between a live and a virtual live streaming environment. Using partial least squares (PLS) structural equation modelling (SEM), this paper analyses 240 valid questionnaire responses and finds that there is a link between real-time interactions, visual stimuli, and users’ sustained engagement. This shows that users’ active interactions while watching live streaming videos significantly affect their perceptions of social presence and trust, which in turn, affect their sustained engagement behaviour. These effects were found to vary with differences in the live streaming environment. The findings of this paper will play a positive role in understanding the differences between various live streaming environments, in optimizing the design of live streaming content and in improving the perceptions of emotional warmth by live streaming users.
Prozessidentifikation
Publisher: Springer Berlin Heidelberg
Date: 2021
Correctness-preserving configuration of business process models
Publisher: Springer Berlin Heidelberg
Date: 2008
Grundlagen der Geschäftsprozessmodellierung
Publisher: Springer Berlin Heidelberg
Date: 2021
Merging business process models
Publisher: Springer Berlin Heidelberg
Date: 2010
Grundlagen des Geschäftsprozessmanagements
Publisher: Springer Berlin Heidelberg
Date: 2021
Fortgeschrittene Prozessmodellierung
Publisher: Springer Berlin Heidelberg
Date: 2021
Prozesserhebung
Publisher: Springer Berlin Heidelberg
Date: 2021
Domain-driven process adaptation in emergency scenarios
Publisher: Springer Berlin Heidelberg
Date: 2009
Qualitative Prozessanalyse
Publisher: Springer Berlin Heidelberg
Date: 2021
Quantitative Prozessanalyse
Publisher: Springer Berlin Heidelberg
Date: 2021
Detecting approximate clones in business process model repositories
Publisher: Elsevier BV
Date: 04-2015
Open source software for workflow management: The case of YAWL
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2011
DOI: 10.1109/MS.2011.58
Prozessverbesserung
Publisher: Springer Berlin Heidelberg
Date: 2021
Motivational Influences Affecting Middle-Aged and Elderly Users’ Participation Intention in Health-Related Social Media
Publisher: MDPI AG
Date: 07-09-2022
Abstract: Social media provide users with multi-directional dialogue for creating and sharing health information that can effectively promote the self-management of health. In regard to the ‘greying’ trend in social media, most researchers have studied the health-related social media (HRSM) acceptance status and use behavior of middle-aged and elderly people, and have explored the role of HRSM in this group. However, the continuous participation of users is the key to the successful operation of HRSM, and is an essential prerequisite for the subsequent HRSM behavior habits of middle-aged and elderly people. Therefore, we aimed to explore what motivations drive the first use of HRSM among middle-aged and older adults, and the impact of their perception of HRSM, after personal use, on their intention to use it continually. In the study, we used the partial least squares structural equation model (PLS-SEM) to analyze data collected from online questionnaires. The results showed that a self-protection motivation and a social motivation promoted the initial participation of middle-aged and elderly in iduals. In addition, these people experienced deeper levels of perceived usefulness and perceived entertainment after their initial participation. The results also revealed that these two perceptions could positively influence middle-aged and elderly in iduals’ intention to continue with their participation. Our findings should help service platforms to better understand the needs of middle-aged and elderly users. This would help researchers and practitioners to gain a more complete understanding of the motivation of middle-aged and elderly people for participating in HRSM, and the related impacts this may have.
Prozessorientierte Informationssysteme
Publisher: Springer Berlin Heidelberg
Date: 2021
A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics
Publisher: Springer International Publishing
Date: 2020
Untanglings: a novel approach to analyzing concurrent systems
Publisher: Association for Computing Machinery (ACM)
Date: 11-2015
DOI: 10.1007/S00165-014-0329-4
Abstract: Substantial research efforts have been expended to deal with the complexity of concurrent systems that is inherent to their analysis, e.g., works that tackle the well-known state space explosion problem. Approaches differ in the classes of properties that they are able to suitably check and this is largely a result of the way they balance the trade-off between analysis time and space employed to describe a concurrent system. One interesting class of properties is concerned with behavioral characteristics. These properties are conveniently expressed in terms of computations, or runs , in concurrent systems. This article introduces the theory of untanglings that exploits a particular representation of a collection of runs in a concurrent system. It is shown that a representative untangling of a bounded concurrent system can be constructed that captures all and only the behavior of the system. Representative untanglings strike a unique balance between time and space, yet provide a single model for the convenient extraction of various behavioral properties. Performance measurements in terms of construction time and size of representative untanglings with respect to the original specifications of concurrent systems, conducted on a collection of models from practice, confirm the scalability of the approach. Finally, this article demonstrates practical benefits of using representative untanglings when checking various behavioral properties of concurrent systems.
Linking domain models and process models for reference model configuration
Publisher: Springer Berlin Heidelberg
Date: 2008
“Unus pro omnibus, omnes pro uno”: understanding unauthorised file sharing in online communities from a public goods contribution perspective
Publisher: Emerald
Date: 06-07-2022
DOI: 10.1108/INTR-11-2021-0808
Abstract: Unauthorised file sharing (UFS) in online communities (OCs) is a major intellectual property concern. Researchers have traditionally viewed UFS as digital piracy and have suggested that deterrents, such as legal actions, should be in place. However, previous research has not considered the OC context and cannot explain why OC members share unauthorised files even when there is legislation against this in place. In OCs, UFS exhibits features of public goods contribution. Therefore, the authors claim that public goods contribution motivations can provide a compelling explanation for UFS in OCs. The authors propose a theoretical model in which two egoistic public goods contribution motivations (namely, warm-glow giving and demand for resources) are tested alongside motivations informed by the sanctions described by deterrence theory, a theory widely used within the digital piracy perspective. The authors find that warm glow and demand for resources are positively related to UFS in OCs the effect of warm glow is moderated by users' attachment to OCs. Importantly, the results suggest that although sanctions significantly predict UFS, the effect of sanctions on UFS becomes insignificant in the presence of warm glow, demand for resources and attachment. The study offers new insights into why users engage in UFS and highlights that public goods contribution should be taken into account in developing anti-piracy policies and practices.
Efficient and Accurate Retrieval of Business Process Models through Indexing
Publisher: Springer Berlin Heidelberg
Date: 2010
BPM als Unternehmensfähigkeit
Publisher: Springer Berlin Heidelberg
Date: 2021
Approximate Clone Detection in Repositories of Business Process Models
Publisher: Springer Berlin Heidelberg
Date: 2012
Prozessüberwachung
Publisher: Springer Berlin Heidelberg
Date: 2021
Indexing and efficient instance-based retrieval of process models using untanglings
Publisher: Springer International Publishing
Date: 2014
Configurable multi-perspective business process models
Publisher: Elsevier BV
Date: 04-2011
Prozessimplementierung mit ausführbaren Modellen
Publisher: Springer Berlin Heidelberg
Date: 2021
Predicting process performance: A white‐box approach based on process models
Publisher: Wiley
Date: 27-03-2019
DOI: 10.1002/SMR.2170
Slice, Mine and Dice: Complexity-Aware Automated Discovery of Business Process Models
Publisher: Springer Berlin Heidelberg
Date: 2013
Robust Drift Characterization from Event Streams of Business Processes
Publisher: Association for Computing Machinery (ACM)
Date: 13-03-2020
DOI: 10.1145/3375398
Abstract: Process workers may vary the normal execution of a business process to adjust to changes in their operational environment, e.g., changes in workload, season, or regulations. Changes may be simple, such as skipping an in idual activity, or complex, such as replacing an entire procedure with another. Over time, these changes may negatively affect process performance hence, it is important to identify and understand them early on. As such, a number of techniques have been developed to detect process drifts , i.e., statistically significant changes in process behavior, from process event logs (offline) or event streams (online). However, detecting a drift without characterizing it, i.e., without providing explanations on its nature, is not enough to help analysts understand and rectify root causes for process performance issues. Existing approaches for drift characterization are limited to simple changes that affect in idual activities. This article contributes an efficient, accurate, and noise-tolerant automated method for characterizing complex drifts affecting entire process fragments. The method, which works both offline and online, relies on two cornerstone techniques, one to automatically discover process trees from event streams (logs) and the other to transform process trees using a minimum number of change operations. The operations identified are then translated into natural language statements to explain the change behind a drift. The method has been extensively evaluated on artificial and real-life datasets, and against a state-of-the-art baseline method. The results from one of the real-life datasets have also been validated with a process stakeholder.
Business Process Variability Modeling
Publisher: Association for Computing Machinery (ACM)
Date: 10-03-2017
DOI: 10.1145/3041957
Abstract: It is common for organizations to maintain multiple variants of a given business process, such as multiple sales processes for different products or multiple bookkeeping processes for different countries. Conventional business process modeling languages do not explicitly support the representation of such families of process variants. This gap triggered significant research efforts over the past decade, leading to an array of approaches to business process variability modeling. In general, each of these approaches extends a conventional process modeling language with constructs to capture customizable process models. A customizable process model represents a family of process variants in a way that a model of each variant can be derived by adding or deleting fragments according to customization options or according to a domain model. This survey draws up a systematic inventory of approaches to customizable process modeling and provides a comparative evaluation with the aim of identifying common and differentiating modeling features, providing criteria for selecting among multiple approaches, and identifying gaps in the state of the art. The survey puts into evidence an abundance of customizable process-modeling languages, which contrasts with a relative scarcity of available tool support and empirical comparative evaluations.
Simplifying process model abstraction: Techniques for generating model names
Publisher: Elsevier BV
Date: 2014
Clone Detection in Repositories of Business Process Models
Publisher: Springer Berlin Heidelberg
Date: 2011
Discovering data transfer routines from user interaction logs
Publisher: Elsevier BV
Date: 07-2022
Service-oriented processes: An introduction to BPEL
Publisher: IGI Global
Date: 2007
DOI: 10.4018/978-1-59904-045-5.CH008
Abstract: The Business Process Execution Language for Web Services (BPEL) is an emerging standard for specifying the behaviour of Web services at different levels of details using business process modeling constructs. It represents a convergence between Web services and business process technology. This chapter introduces the main concepts and constructs of BPEL and illustrates them by means of a comprehensive ex le. In addition, the chapter reviews some perceived limitations of BPEL and discusses proposals to address these limitations. The chapter also considers the possibility of applying formal methods and Semantic Web technology to support the rigorous development of service-oriented processes using BPEL.
Thresholds for error probability measures of business process models
Publisher: Elsevier BV
Date: 05-2012
Discovering characteristics of stochastic collections of process models
Publisher: Springer Berlin Heidelberg
Date: 2011
Improving Business Process Models Using Observed Behavior
Publisher: Springer Berlin Heidelberg
Date: 2013
The 4C spectrum of fundamental behavioral relations for concurrent systems
Publisher: Springer International Publishing
Date: 2014
Automated Repair of Process Models Using Non-local Constraints
Publisher: Springer International Publishing
Date: 2020
Toward web-scale workflows for film production
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2008
DOI: 10.1109/MIC.2008.115
Correctness Ensuring Process Configuration: An Approach Based on Partner Synthesis
Publisher: Springer Berlin Heidelberg
Date: 2010
Ensuring correctness during process configuration via partner synthesis
Publisher: Elsevier BV
Date: 09-2012
A Probabilistic Approach to Event-Case Correlation for Process Mining
Publisher: Springer International Publishing
Date: 2019
Controlled automated discovery of collections of business process models
Publisher: Elsevier BV
Date: 12-2014
Automated error correction of business process models
Publisher: Springer Berlin Heidelberg
Date: 2011
Local Concurrency Detection in Business Process Event Logs
Publisher: Association for Computing Machinery (ACM)
Date: 21-01-2019
DOI: 10.1145/3289181
Abstract: Process mining techniques aim at analyzing records generated during the execution of a business process in order to provide insights on the actual performance of the process. Detecting concurrency relations between events is a fundamental primitive underpinning a range of process mining techniques. Existing approaches to this problem identify concurrency relations at the level of event types under a global interpretation. If two event types are declared to be concurrent, every occurrence of one event type is deemed to be concurrent to one occurrence of the other. In practice, this interpretation is too coarse-grained and leads to over-generalization. This article proposes a finer-grained approach, whereby two event types may be deemed to be in a concurrency relation relative to one state of the process, but not relative to other states. In other words, the detected concurrency relation holds locally, relative to a set of states. Experimental results both with artificial and real-life logs show that the proposed local concurrency detection approach improves the accuracy of existing concurrency detection techniques.
Related Organisations
Related Funding Activities
Industrial Transformation Research Hubs - Grant ID: IH210100051
Start Date: 07-2022
End Date: 07-2027
Amount: $5,000,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP180102839
Start Date: 05-2018
End Date: 12-2023
Amount: $377,784.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP110100252
Start Date: 07-2011
End Date: 12-2014
Amount: $210,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP150103356
Start Date: 2015
End Date: 12-2019
Amount: $847,700.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP110100091
Start Date: 2011
End Date: 12-2015
Amount: $450,000.00
Funder: Australian Research Council
View Funded Activity