Journal Article•
Process querying: Enabling business intelligence through query-based process analytics
TL;DR: A framework for devising process querying methods for the (automated) management of repositories of designed and executed processes, as well as models that describe relationships between processes is proposed.
Abstract: Highlights - A framework for designing process querying methods is proposed
- The framework is positioned for broader Process Analytics and Business Intelligence
- The framework is grounded in use cases from the Business Process Management field
- The framework is informed by and validated via a systematic literature review
- The framework structures the state of the art and points to gaps in existing research
Abstract
The volume of process-related data is growing rapidly: more and more business operations are being supported and monitored by information systems. Industry 4.0 and the corresponding industrial Internet of Things are about to generate new waves of process-related data, next to the abundance of event data already present in enterprise systems. However, organizations often fail to convert such data into strategic and tactical intelligence. This is due to the lack of dedicated technologies that are tailored to effectively manage the information on processes encoded in process models and process execution records. Process-related information is a core organizational asset which requires dedicated analytics to unlock its full potential. This paper proposes a framework for devising process querying methods, i.e., techniques for the (automated) management of repositories of designed and executed processes, as well as models that describe relationships between processes. The framework is composed of generic components that can be configured to create a range of process querying methods. The motivation for the framework stems from use cases in the field of Business Process Management. The design of the framework is informed by and validated via a systematic literature review. The framework structures the state of the art and points to gaps in existing research. Process querying methods need to address these gaps to better support strategic decision-making and provide the next generation of Business Intelligence platforms.
Citations
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TL;DR: This paper summarizes the growth structure of Industry 4.0 during the last 5 years and provides the concise background overview of Industry 5.0 related works and various application areas.
325 citations
TL;DR: The aim of this research is to identify the main overarching themes discussed in the past and track their evolution over time, and propose a future research agenda for each overarching theme that considers the multidisciplinary nature of research efforts made on the topic.
131 citations
01 Jan 2011
TL;DR: The importance of maintaining a proper alignment between event log and process model is elaborated on and their application to conformance checking and performance analysis is elaborated.
Abstract: Process mining techniques use event data to discover process models, to check the conformance of prede?ned process models, and to extend such models with information about bottlenecks, decisions, and resource usage. These techniques are driven by observed events rather than hand-made models. Event logs are used to learn and enrich process models. By replaying history on the model, it is possible to establish a precise relationship between events and model elements. This relationship can be used to check conformance and to analyze performance. For example, it is possible to diagnose deviations from the modeled behavior. The severity of each deviation can be quanti?ed. Moreover, the relationship established during replay and the timestamps in the event log can be combined to show bottlenecks. These examples illustrate the importance of maintaining a proper alignment between event log and process model. Therefore, we elaborate on the realization of such alignments and their application to conformance checking and performance analysis.
95 citations
Journal Article•
TL;DR: This paper proposes an automated approach for querying a business process model repository for structurally and semantically relevant models and provides abusiness process model search engine implementation for evaluation of the proposed approach.
Abstract: Determining similarity between business process models has recently gained interest in the business process management community. So far similarity was addressed separately either at semantic or structural aspect of process models. Also, most of the contributions that measure similarity of process models assume an ideal case when process models are enriched with semantics - a description of meaning of process model elements. However, in real life this results in a heavy human effort consuming pre-processing phase which is often not feasible. In this paper we propose an automated approach for querying a business process model repository for structurally and semantically relevant models. Similar to the search on the Internet, a user formulates a BPMN-Q query and as a result receives a list of process models ordered by relevance to the query. We provide a business process model search engine implementation for evaluation of the proposed approach.
81 citations
01 Aug 2017
TL;DR: A framework is introduced that distinguishes three levels of business process management: multiprocess management, process model management, and process instance management and identifies major contributions of prior research.
Abstract: This paper describes the foundations of smart business process management and serves as an editorial to the corresponding special issue. To this end, we introduce a framework that distinguishes three levels of business process management: multiprocess management, process model management, and process instance management. For each of these levels we identify major contributions of prior research and describe in how far papers assembled in this special issue extend our understanding of smart business process management.
57 citations
References
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TL;DR: The objective is to describe the performance of design-science research in Information Systems via a concise conceptual framework and clear guidelines for understanding, executing, and evaluating the research.
Abstract: Two paradigms characterize much of the research in the Information Systems discipline: behavioral science and design science The behavioral-science paradigm seeks to develop and verify theories that explain or predict human or organizational behavior The design-science paradigm seeks to extend the boundaries of human and organizational capabilities by creating new and innovative artifacts Both paradigms are foundational to the IS discipline, positioned as it is at the confluence of people, organizations, and technology Our objective is to describe the performance of design-science research in Information Systems via a concise conceptual framework and clear guidelines for understanding, executing, and evaluating the research In the design-science paradigm, knowledge and understanding of a problem domain and its solution are achieved in the building and application of the designed artifact Three recent exemplars in the research literature are used to demonstrate the application of these guidelines We conclude with an analysis of the challenges of performing high-quality design-science research in the context of the broader IS community
10,264 citations
"Process querying: Enabling business..." refers methods in this paper
...To develop the framework, we use (an adapted version of) the Design Science Research Methodology (DSRM) by Peffers et al [5] that follows the guidelines by Hevner et al [6] for the required elements of design research....
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...the Design Science Research Methodology (DSRM) by Peffers et al [5] that follows the guidelines by Hevner et al [6] for the required elements of design research....
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...The framework is a viable artifact that is produced as an outcome of this design endeavor (Guideline 1: Design of an Artifact, refer to [6] for details)....
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Journal Article•
TL;DR: A review of prior, relevant literature is an essential feature of any academic project that facilitates theory development, closes areas where a plethora of research exists, and uncovers areas where research is needed.
Abstract: A review of prior, relevant literature is an essential feature of any academic project. An effective review creates a firm foundation for advancing knowledge. It facilitates theory development, closes areas where a plethora of research exists, and uncovers areas where research is needed.
6,406 citations
"Process querying: Enabling business..." refers methods in this paper
...The review follows the guidelines proposed by Webster and Watson [46] and a more rigorous process suggested by vom Brocke et al [47]....
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TL;DR: The designed methodology effectively satisfies the three objectives of design science research methodology and has the potential to help aid the acceptance of DS research in the IS discipline.
Abstract: The paper motivates, presents, demonstrates in use, and evaluates a methodology for conducting design science (DS) research in information systems (IS). DS is of importance in a discipline oriented to the creation of successful artifacts. Several researchers have pioneered DS research in IS, yet over the past 15 years, little DS research has been done within the discipline. The lack of a methodology to serve as a commonly accepted framework for DS research and of a template for its presentation may have contributed to its slow adoption. The design science research methodology (DSRM) presented here incorporates principles, practices, and procedures required to carry out such research and meets three objectives: it is consistent with prior literature, it provides a nominal process model for doing DS research, and it provides a mental model for presenting and evaluating DS research in IS. The DS process includes six steps: problem identification and motivation, definition of the objectives for a solution, design and development, demonstration, evaluation, and communication. We demonstrate and evaluate the methodology by presenting four case studies in terms of the DSRM, including cases that present the design of a database to support health assessment methods, a software reuse measure, an Internet video telephony application, and an IS planning method. The designed methodology effectively satisfies the three objectives and has the potential to help aid the acceptance of DS research in the IS discipline.
5,420 citations
"Process querying: Enabling business..." refers methods in this paper
...To develop the framework, we use (an adapted version of) the Design Science Research Methodology (DSRM) by Peffers et al [5] that follows the guidelines by Hevner et al [6] for the required elements of design research....
[...]
...the Design Science Research Methodology (DSRM) by Peffers et al [5] that follows the guidelines by Hevner et al [6] for the required elements of design research....
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Book•
25 Apr 2008
TL;DR: Principles of Model Checking offers a comprehensive introduction to model checking that is not only a text suitable for classroom use but also a valuable reference for researchers and practitioners in the field.
Abstract: Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems. One such technique that has emerged in the last twenty years is model checking, which systematically (and automatically) checks whether a model of a given system satisfies a desired property such as deadlock freedom, invariants, and request-response properties. This automated technique for verification and debugging has developed into a mature and widely used approach with many applications. Principles of Model Checking offers a comprehensive introduction to model checking that is not only a text suitable for classroom use but also a valuable reference for researchers and practitioners in the field. The book begins with the basic principles for modeling concurrent and communicating systems, introduces different classes of properties (including safety and liveness), presents the notion of fairness, and provides automata-based algorithms for these properties. It introduces the temporal logics LTL and CTL, compares them, and covers algorithms for verifying these logics, discussing real-time systems as well as systems subject to random phenomena. Separate chapters treat such efficiency-improving techniques as abstraction and symbolic manipulation. The book includes an extensive set of examples (most of which run through several chapters) and a complete set of basic results accompanied by detailed proofs. Each chapter concludes with a summary, bibliographic notes, and an extensive list of exercises of both practical and theoretical nature.
4,905 citations
"Process querying: Enabling business..." refers background in this paper
...A behavior model characterizes a dynamic system by describing often an infinite collection of processes that suggest the ways to lead the system to a potentially infinite number of states [32]....
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Book•
21 Sep 1995
TL;DR: Beleska o autorima: str. XV-XVI. as mentioned in this paper - Bibliografija uz svako poglavlje. - Registar.
Abstract: Beleska o autorima: str. XV-XVI. - Bibliografija uz svako poglavlje. - Registar. - Summaries.
3,866 citations
"Process querying: Enabling business..." refers methods in this paper
...A simulation model is an activity model together with a finite imitation of its operations in the real-world [33]....
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