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International Journal of Business Process Integration and Management is a peer-reviewed journal published by Inderscience, covering Business Process Modeling and Analysis, Service-Oriented Architecture and Web Services, Semantic Web and Ontologies.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Business Process Integration and Management, 12(3), pp. 45–58.
Formats any DOI in International Journal of Business Process Integration and Management style. No sign-up. |
| Publishes research in | Business Process Modeling and Analysis Service-Oriented Architecture and Web Services Semantic Web and Ontologies Advanced Software Engineering Methodologies Big Data and Business Intelligence |
| ISSN | 1741-8763 |
| Citation impact (2-yr) | 0.21 |
| h-index | 24 |
| i10-index | 70 |
| Total citations | 2,678 |
| Top institutions publishing here | University of Coimbra |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Flexibility has emerged as an important requirement in the design of business processes. Research on process flexibility, however, has traditionally been focused on the intrinsic capability of a process to adapt to a new environment (e.g. workflow escalation, ad hoc modelling). This paper proposes to extend the existing body of research by studying the extrinsic…
Traditional information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Accordingly, adaptive process management systems (PMSs) have emerged that provide some flexibility by enabling dynamic process changes during runtime. Based on the assumption that these process changes are recorded explicitly, we present two techniques for…
One of the main challenges of scientific experiments is to allow scientists to manage and exchange their scientific computational resources (data, programs, models, etc.). The effective management of such experiments requires a specific set of cardinal facilities, such as experiment specification techniques, workflow derivation heuristics and provenance mechanisms. These facilities may characterise the experiment life…
This paper presents a preliminary proposal of an ontology of organisations based on descriptive ontology for linguistic and cognitive engineering (DOLCE). An ontological analysis of organisations is the first, fundamental and ineliminable pillar on which to build a precise and rigorous enterprise modelling. An ontological analysis makes explicit the social structure that underlies every organisational…
Recently, a variety of workflow patterns have been suggested for capturing different aspects in process-aware information systems (PAISs), including control and data flow, resources, process change and exception handling. All these patterns are highly relevant for implementing PAISs and for designing process modelling languages. However, current patterns provide only a partial answer to the question…
