scholarly journals Which Event Happened First? Deferred Choice on Blockchain Using Oracles

2021 ◽  
Vol 4 ◽  
Author(s):  
Jan Ladleif ◽  
Mathias Weske

First come, first served: Critical choices between alternative actions are often made based on events external to an organization, and reacting promptly to their occurrence can be a major advantage over the competition. In Business Process Management (BPM), such deferred choices can be expressed in process models, and they are an important aspect of process engines. Blockchain-based process execution approaches are no exception to this, but are severely limited by the inherent properties of the platform: The isolated environment prevents direct access to external entities and data, and the non-continual runtime based entirely on atomic transactions impedes the monitoring and detection of events. In this paper we provide an in-depth examination of the semantics of deferred choice, and transfer them to environments such as the blockchain. We introduce and compare several oracle architectures able to satisfy certain requirements, and show that they can be implemented using state-of-the-art blockchain technology.

2013 ◽  
Vol 2013 ◽  
pp. 1-37 ◽  
Author(s):  
Wil M. P. van der Aalst

Business Process Management (BPM) research resulted in a plethora of methods, techniques, and tools to support the design, enactment, management, and analysis of operational business processes. This survey aims to structure these results and provide an overview of the state-of-the-art in BPM. In BPM the concept of a process model is fundamental. Process models may be used to configure information systems, but may also be used to analyze, understand, and improve the processes they describe. Hence, the introduction of BPM technology has both managerial and technical ramifications and may enable significant productivity improvements, cost savings, and flow-time reductions. The practical relevance of BPM and rapid developments over the last decade justify a comprehensive survey.


2019 ◽  
Vol 26 (1) ◽  
pp. 191-211
Author(s):  
Patricia Bazan ◽  
Elsa Estevez

Purpose The purpose of this paper is to assess the state of the art of social business process management (Social BPM), explaining applied approaches, existing tools and challenges and to propose a research agenda for encouraging further development of the area. Design/methodology/approach The methodology comprises a qualitative analysis using secondary data. The approach relies on searches of scientific papers conducted in well-known databases, identifying research work related to Social BPM solutions and those contributing with social characteristics to BPM. Based on the identified papers, the authors selected the most relevant and the latest publications, and categorized their contributions and findings based on open and selective coding. In total, the analysis is based on 51 papers that were selected and analyzed in depth. Findings Main results show that there are several studies investigating modeling approaches for socializing process activities and for capturing implicit knowledge possessed and used by process actors, enabling to add some kind of flexibility to business processes. However, despite the proven interest in the area, there are not yet adequate tools providing effective solutions for Social BPM. Based on our findings, the authors propose a research agenda comprising three main lines: contributions of social software (SS) to Social BPM, Social BPM as a mechanism for adding flexibility to and for discovering new business processes and Social BPM for enhancing business processes with the use of new technologies. The authors also identify relevant problems for each line. Practical implications Some SS tools, like wikis, enable managing social aspects in executing business processes and can be used to coordinate simple business processes. Despite they are commonly used, they are not yet mature tools supporting Social BPM and more efficient tools are yet to appear. The lack of tools preclude organizations from benefitting from implicit knowledge owned by and shared among business process actors, which could contribute to better-informed decisions related to organizational processes. In addition, more research is needed for considering Social BPM as an approach for organizations to benefit from the adoption of new technologies in their business processes. Originality/value The paper assesses the state of the art in Social BPM, an incipient area in research and practice. The area can be defined as the intersection of two bigger areas highly relevant for organizations; on the one hand, the management and execution of business processes; and on the other hand, the use of social software, including social media tools, for leveraging on implicit knowledge shared by business process actors to improving efficiency of business processes.


2020 ◽  
pp. 1004-1016
Author(s):  
Hanane Lhannaoui ◽  
Mohammed Issam Kabbaj ◽  
Zohra Bakkoury

For organizations, risk is a key concept when dealing with business process. Integrating risks aspects during business process management starts with an accurate consideration of risk's characteristics in the modelling phase. Most research is needed on integrating risk and business process modelling. Actually, the literature suggests various approaches to represent risk-related information in business process models. The diversity of those methods and the fact that this domain is still emerging make it difficult to choose the most suitable language. This paper aims to represent a survey of the existing risk-annotated business process model's notations.


Author(s):  
Bernd Heinrich ◽  
Mathias Klier ◽  
Steffen Zimmermann

Companies need to adapt their processes quickly in order to react to changing customer demands or new regulations, for example. Process models are an appropriate means to support process setup but currently the (re)design of process models is a time-consuming manual task. Semantic Business Process Management, in combination with planning approaches, can alleviate this drawback. This means that the workload of (manual) process modeling could be reduced by constructing models in an automated way. Since existing, traditional planning algorithms show drawbacks for the application in Semantic Business Process Management, we introduce a novel approach that is suitable especially for the Semantic-based Planning of process models. In this chapter, we focus on the semantic reasoning, which is necessary in order to construct control structures, such as decision nodes, which are vital elements of process models. We illustrate our approach by a running example taken from the financial services domain. Moreover, we demonstrate its applicability by a prototype and provide some insights into the evaluation of our approach.


2017 ◽  
Vol 6 (3) ◽  
pp. 14-26
Author(s):  
Hanane Lhannaoui ◽  
Mohammed Issam Kabbaj ◽  
Zohra Bakkoury

For organizations, risk is a key concept when dealing with business process. Integrating risks aspects during business process management starts with an accurate consideration of risk's characteristics in the modelling phase. Most research is needed on integrating risk and business process modelling. Actually, the literature suggests various approaches to represent risk-related information in business process models. The diversity of those methods and the fact that this domain is still emerging make it difficult to choose the most suitable language. This paper aims to represent a survey of the existing risk-annotated business process model's notations.


Author(s):  
Mostefai Abdelkader

Process model matching is a key activity in many business process management tasks. It is an activity that consists of detecting an alignment between process models by finding similar activities in two process models. This article proposes a method based on WordNet glosses to improve the effectiveness of process model matchers. The proposed method is composed of three steps. In the first step, all activities of the two BPs are extracted. Second, activity labels are expanded using word glosses and finally, similar activities are detected using the cosine similarity metric. Two experiments were conducted on well-known datasets to validate the effectiveness of the proposed approach. In the first one, an alignment is computed using the cosine similarity metric only and without a process of expansion. While, in the second experiment, the cosine similarity metric is applied to the expanded activities using glosses. The results of the experiments were promising and show that expanding activities using WordNet glosses improves the effectiveness of process model matchers.


2014 ◽  
Vol 556-562 ◽  
pp. 4124-4127
Author(s):  
Zhao Juan ◽  
Xian Wen Fang ◽  
Xiang Wei Liu

Analysis of suspected change domain has become the key problems in the area of business process management. But when input models are large complex process models, existing methods have obvious limitations. An analysis method of the change region based on merged Petri model in the paper. Firstly, several complex models are merged into a model with identifiers. Then, an algorithm for extracting the digest from the merged model is given, and the changes are optimized based on module behavior profile. Finally, the suspected changes are analyzed by the traceability of the merged model. The theoretical analysis and specific example show the method is effective.


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