Relevant bibliographies by topics / Business Process Models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Business Process Models'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 June 2024

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Journal articles on the topic "Business Process Models"

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Jiang, JianMin, Shi Zhang, Ping Gong, and Zhong Hong. "Configuring business process models." ACM SIGSOFT Software Engineering Notes 38, no. 4 (July 12, 2013): 1–10. http://dx.doi.org/10.1145/2492248.2492267.

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Looy, Amy, Geert Poels, and Monique Snoeck. "Evaluating Business Process Maturity Models." Journal of the Association for Information Systems 18, no. 6 (June 2017): 461–86. http://dx.doi.org/10.17705/1jais.00460.

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Redding, Guy, Marlon Dumas, Arthur H. M. ter Hofstede, and Adrian Iordachescu. "Generating Business Process Models from Object Behavior Models." Information Systems Management 25, no. 4 (October 9, 2008): 319–31. http://dx.doi.org/10.1080/10580530802384324.

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Eshuis, Rik, and Pieter Van Gorp. "Synthesizing data-centric models from business process models." Computing 98, no. 4 (February 14, 2015): 345–73. http://dx.doi.org/10.1007/s00607-015-0442-0.

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Pascalau, Emilian, Ahmed Awad, Sherif Sakr, and Mathias Weske. "Partial process models to manage business process variants." International Journal of Business Process Integration and Management 5, no. 3 (2011): 240. http://dx.doi.org/10.1504/ijbpim.2011.042528.

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Saeedi Nikoo, Mahdi, Önder Babur, and Mark van den Brand. "Clone detection for business process models." PeerJ Computer Science 8 (August 23, 2022): e1046. http://dx.doi.org/10.7717/peerj-cs.1046.

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Models are key in software engineering, especially with the rise of model-driven software engineering. One such use of modeling is in business process modeling, where models are used to represent processes in enterprises. As the number of these process models grow in repositories, it leads to an increasing management and maintenance cost. Clone detection is a means that may provide various benefits such as repository management, data prepossessing, filtering, refactoring, and process family detection. In model clone detection, highly similar model fragments are mined from larger model repositories. In this study, we have extended SAMOS (Statistical Analysis of Models) framework for clone detection of business process models. The framework has been developed to support different types of analytics on models, including clone detection. We present the underlying techniques utilized in the framework, as well as our approach in extending the framework. We perform three experimental evaluations to demonstrate the effectiveness of our approach. We first compare our tool against the Apromore toolset for a pairwise model similarity using a synthetic model mutation dataset. As indicated by the results, SAMOS seems to outperform Apromore in the coverage of the metrics in pairwise similarity of models. Later, we do a comparative analysis of the tools on model clone detection using a dataset derived from the SAP Reference Model Collection. In this case, the results show a better precision for Apromore, while a higher recall measure for SAMOS. Finally, we show the additional capabilities of our approach for different model scoping styles through another set of experimental evaluations.
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Rychkova, Irina, Gil Regev, and Alain Wegmann. "Extending Business Process Models with Appreciation." Complex Systems Informatics and Modeling Quarterly, no. 18 (April 30, 2019): 23–46. http://dx.doi.org/10.7250/csimq.2019-18.02.

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Röglinger, Maximilian, Jens Pöppelbuß, and Jörg Becker. "Maturity models in business process management." Business Process Management Journal 18, no. 2 (April 13, 2012): 328–46. http://dx.doi.org/10.1108/14637151211225225.

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Castela, Nuno, Paulo Dias, Marielba Zacarias, and José M. Tribolet. "Collaborative maintenance of business process models." International Journal of Organisational Design and Engineering 2, no. 1 (2012): 61. http://dx.doi.org/10.1504/ijode.2012.045903.

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Yu, E. S. K., J. Mylopoulos, and Y. Lesperance. "Al models for business process reengineering." IEEE Expert 11, no. 4 (August 1996): 16–23. http://dx.doi.org/10.1109/64.511773.

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Dissertations / Theses on the topic "Business Process Models"

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Smirnov, Sergey, Matthias Weidlich, Jan Mendling, and Mathias Weske. "Action patterns in business process models." Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2009/3358/.

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Business process management experiences a large uptake by the industry, and process models play an important role in the analysis and improvement of processes. While an increasing number of staff becomes involved in actual modeling practice, it is crucial to assure model quality and homogeneity along with providing suitable aids for creating models. In this paper we consider the problem of offering recommendations to the user during the act of modeling. Our key contribution is a concept for defining and identifying so-called action patterns - chunks of actions often appearing together in business processes. In particular, we specify action patterns and demonstrate how they can be identified from existing process model repositories using association rule mining techniques. Action patterns can then be used to suggest additional actions for a process model. Our approach is challenged by applying it to the collection of process models from the SAP Reference Model.
Die zunehmende Bedeutung des Geschäftsprozessmanagements führt dazu, dass eine steigende Anzahl von Mitarbeitern eines Unternehmens mit der Erstellung von Prozessmodellen betraut ist. Um trotz dieser Tendenz die Qualität der Prozessmodelle, sowie ihre Homogenität sicherzustellen, sind entsprechende Modellierungshilfen unabdingbar. In diesem Bericht stellen wir einen Ansatz vor, welcher die Prozessmodellierung durch Empfehlungen unterstützt. Jene basieren auf sogenannten Aktionsmustern, welche typische Arbeitsblöcke darstellen. Neben der Definition dieser Aktionsmuster zeigen wir eine Methode zur Identifikation dieser Muster auf. Mittels Techniken der Assoziationsanalyse können die Muster automatisch aus einer Sammlung von Prozessmodellen extrahiert werden. Die Anwendbarkeit unseres Ansatzes wird durch eine Fallstudie auf Basis des SAP Referenzmodells illustriert.
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Kunze, Matthias. "Searching business process models by example." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6884/.

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Business processes are fundamental to the operations of a company. Each product manufactured and every service provided is the result of a series of actions that constitute a business process. Business process management is an organizational principle that makes the processes of a company explicit and offers capabilities to implement procedures, control their execution, analyze their performance, and improve them. Therefore, business processes are documented as process models that capture these actions and their execution ordering, and make them accessible to stakeholders. As these models are an essential knowledge asset, they need to be managed effectively. In particular, the discovery and reuse of existing knowledge becomes challenging in the light of companies maintaining hundreds and thousands of process models. In practice, searching process models has been solved only superficially by means of free-text search of process names and their descriptions. Scientific contributions are limited in their scope, as they either present measures for process similarity or elaborate on query languages to search for particular aspects. However, they fall short in addressing efficient search, the presentation of search results, and the support to reuse discovered models. This thesis presents a novel search method, where a query is expressed by an exemplary business process model that describes the behavior of a possible answer. This method builds upon a formal framework that captures and compares the behavior of process models by the execution ordering of actions. The framework contributes a conceptual notion of behavioral distance that quantifies commonalities and differences of a pair of process models, and enables process model search. Based on behavioral distances, a set of measures is proposed that evaluate the quality of a particular search result to guide the user in assessing the returned matches. A projection of behavioral aspects to a process model enables highlighting relevant fragments that led to a match and facilitates its reuse. The thesis further elaborates on two search techniques that provide concrete behavioral distance functions as an instantiation of the formal framework. Querying enables search with a notion of behavioral inclusion with regard to the query. In contrast, similarity search obtains process models that are similar to a query, even if the query is not precisely matched. For both techniques, indexes are presented that enable efficient search. Methods to evaluate the quality and performance of process model search are introduced and applied to the techniques of this thesis. They show good results with regard to human assessment and scalability in a practical setting.
Geschäftsprozesse bilden die Grundlage eines jeden Unternehmens, da jedes Produkt und jede Dienstleistung das Ergebnis einer Reihe von Arbeitsschritten sind, deren Ablauf einen Geschäftsprozess darstellen. Das Geschäftsprozessmanagement rückt diese Prozesse ins Zentrum der Betrachtung und stellt Methoden bereit, um Prozesse umzusetzen, abzuwickeln und, basierend auf einer Auswertung ihrer Ausführung, zu verbessern. Zu diesem Zweck werden Geschäftsprozesse in Form von Prozessmodellen dokumentiert, welche die auszuführenden Arbeitsschritte und ihre Ausführungsbeziehungen erfassen und damit eine wesentliche Grundlage des Geschäftsprozessmanagements bilden. Um dieses Wissen verwerten zu können, muss es gut organisiert und leicht auffindbar sein – eine schwierige Aufgabe angesichts hunderter bzw. tausender Prozessmodelle, welche moderne Unternehmen unterhalten. In der Praxis haben sich bisher lediglich einfache Suchmethoden etabliert, zum Beispiel Freitextsuche in Prozessbeschreibungen. Wissenschaftliche Ansätze hingegen betrachten Ähnlichkeitsmaße und Anfragesprachen für Prozessmodelle, vernachlässigen dabei aber Maßnahmen zur effizienten Suche, sowie die verständliche Wiedergabe eines Suchergebnisses und Hilfestellungen für dessen Verwendung. Diese Dissertation stellt einen neuen Ansatz für die Prozessmodellsuche vor, wobei statt einer Anfragesprache Prozessmodelle zur Formulierung einer Anfrage verwendet werden, welche exemplarisch das Verhalten der gesuchten Prozesse beschreiben. Dieser Ansatz fußt auf einem formalen Framework, welches ein konzeptionelles Distanzmaß zur Bewertung gemeinsamen Verhaltens zweier Geschäftsprozesse definiert und die Grundlage zur Suche bildet. Darauf aufbauend werden Qualitätsmaße vorgestellt, die einem Benutzer bei der Bewertung von Suchergebnissen behilflich sind. Verhaltensausschnitte, die zur Aufnahme in das Suchergebnis geführt haben, können im Prozessmodell hervorgehoben werden. Die Arbeit führt zwei Suchtechniken ein, die konkrete Distanzmaße einsetzen, um Prozesse zu suchen, die das Verhalten einer Anfrage exakt enthalten (Querying), oder diesem in Bezug auf das Verhalten ähnlich sind (Similarity Search). Für beide Techniken werden Indexstrukturen vorgestellt, die effizientes Suchen ermöglichen. Abschließend werden allgemeine Methoden zur Evaluierung von Prozessmodellsuchansätzen vorgestellt, mit welchen die genannten Suchtechniken überprüft werden. Im Ergebnis zeigen diese eine hohe Qualität der Suchergebnisse hinsichtlich einer Vergleichsstudie mit Prozessexperten, sowie gute Skalierbarkeit für große Prozessmodellsammlungen.
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Di, Francescomarino Chiara. "Semantic annotation of business process models." Doctoral thesis, Università degli studi di Trento, 2011. https://hdl.handle.net/11572/367849.

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In the last decades, business process models have increasingly been used by companies with different purposes, such as documenting enacted processes or enabling and improving the communication among stakeholders (e.g., designers and implementers). Aside from the differences, all the roles played by process models involve human actors (e.g., business designers, business analysts, re-engineers) and hence demand for readability and ease of use, beyond correctness and reasonable completeness. It often happens, however, that process models are large and intricate, thus resulting potentially difficult to understand and to manage. In this thesis we propose some techniques aimed at supporting business designers and analysts in the management of business process models. The core of the proposal is the enrichment of process models with semantic annotations from domain ontologies and the formalization of both structural and domain information in a shared knowledge base, thus opening to the possibility of exploiting reasoning for supporting business experts in their work. In detail, this thesis investigates some of the services that can be provided on top of the process semantic annotation, as for example, the automatic verification of process constraints, the automated querying of process models or the semi-automatic mining, documentation and modularization of crosscutting concerns. Moreover, special care is devoted to support designers and analysts when process models are not available or they have to be semantically annotated. Specifically, an approach for recovering process models from (Web) applications and some metrics for evaluating the understandability of the recovered models are investigated. Techniques for suggesting candidate semantic annotations are also proposed. The results obtained by applying the presented techniques have been validated by means of case studies, performance evaluations and empirical investigations.
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Di, Francescomarino Chiara. "Semantic annotation of business process models." Doctoral thesis, University of Trento, 2011. http://eprints-phd.biblio.unitn.it/547/1/DiFrancescomarino_Chiara.pdf.

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In the last decades, business process models have increasingly been used by companies with different purposes, such as documenting enacted processes or enabling and improving the communication among stakeholders (e.g., designers and implementers). Aside from the differences, all the roles played by process models involve human actors (e.g., business designers, business analysts, re-engineers) and hence demand for readability and ease of use, beyond correctness and reasonable completeness. It often happens, however, that process models are large and intricate, thus resulting potentially difficult to understand and to manage. In this thesis we propose some techniques aimed at supporting business designers and analysts in the management of business process models. The core of the proposal is the enrichment of process models with semantic annotations from domain ontologies and the formalization of both structural and domain information in a shared knowledge base, thus opening to the possibility of exploiting reasoning for supporting business experts in their work. In detail, this thesis investigates some of the services that can be provided on top of the process semantic annotation, as for example, the automatic verification of process constraints, the automated querying of process models or the semi-automatic mining, documentation and modularization of crosscutting concerns. Moreover, special care is devoted to support designers and analysts when process models are not available or they have to be semantically annotated. Specifically, an approach for recovering process models from (Web) applications and some metrics for evaluating the understandability of the recovered models are investigated. Techniques for suggesting candidate semantic annotations are also proposed. The results obtained by applying the presented techniques have been validated by means of case studies, performance evaluations and empirical investigations.
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Figl, Kathrin. "Comprehension of Procedural Visual Business Process Models." Springer, 2017. http://dx.doi.org/10.1007/s12599-016-0460-2.

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Visual process models are meant to facilitate comprehension of business processes. However, in practice, process models can be difficult to understand. The main goal of this article is to clarify the sources of cognitive effort in comprehending process models. The article undertakes a comprehensive descriptive review of empirical and theoretical work in order to categorize and summarize systematically existing findings on the factors that influence comprehension of visual process models. Methodologically, the article builds on a review of forty empirical studies that measure objective comprehension of process models, seven studies that measure subjective comprehension and user preferences, and thirty-two articles that discuss the factors that influence the comprehension of process models. The article provides information systems researchers with an overview of the empirical state of the art of process model comprehension and provides recommendations for new research questions to be addressed and methods to be used in future experiments.
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Redlich, David. "Descriptive business process models at run-time." Thesis, Lancaster University, 2018. http://eprints.lancs.ac.uk/124261/.

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Today's competitive markets require organisations to react proactively to changes in their environment if financial and legal consequences are to be avoided. Since business processes are elementary parts of modern organisations they are also required to efficiently adapt to these changes in quick and flexible ways. This requirement demands a more dynamic handling of business processes, i.e. treating business processes as run-time artefacts rather than design-time artefacts. One general approach to address this problem is provided by the community of models@run.time, which promotes methodologies concerned with self-adaptive systems where models reflect the system's current state at any point in time and allow immediate reasoning and adaptation mechanisms. However, in contrast to common self-adaptive systems the domain of business processes features two additional challenges: (i) a bigger than usual abstraction gap between the business process models and the actual run-time information of the enterprise system and (ii) the possibility of run-time deviations from the planned models. Developing an understanding of such processes is a crucial necessity in order to optimise business processes and dynamically adapt to changing demands. This thesis explores the potential of adopting and enhancing principles and mechanisms from the models@run.time domain to the business process domain for the purpose of run-time reasoning, i.e. investigating the potential role of Descriptive Business Process Models at Run-time (DBPMRTs) in the business process management domain. The DBPMRT is a model describing the enterprise system at run-time and thus enabling higher-level reasoning on the as-is state. Along with the specification of the DBPMRT, algorithms and an overall framework are proposed to establish and maintain a causal link from the enterprise system to the DBPMRT at run-time. Furthermore, it is shown that proactive higher-level reasoning on a DBPMRT in the form of performance prediction allows for more accurate results. By taking these steps the thesis addresses general challenges of business process management, e.g. dealing with frequently changing processes and shortening the business process life cycle. At the same time this thesis contributes to research in models@run.time by providing a complex real-world use case as well as a reference approach for dealing with volatile models@run.time of a higher abstraction level.
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Ayad, Sarah. "Business Process Models Quality : evaluation and improvement." Thesis, Paris, CNAM, 2013. http://www.theses.fr/2013CNAM0922/document.

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La problématique scientifique abordée correspond à la modélisation et à l'amélioration des processus métiers. Ce problème est d'un intérêt croissant pour les entreprises qui prennent conscience de l'impact indéniable que peuvent avoir une meilleure compréhension et une meilleure gestion des processus métiers (PM) sur l'efficacité, la cohérence et la transparence de leurs activités. Le travail envisagé dans le cadre de la thèse vise à proposer une méthode et un outil pour mesurer et améliorer la qualité des modèles de processus métier. L’originalité de l’approche est qu’elle vise non seulement la qualité syntaxique mais aussi la qualité sémantique et pragmatique en s’appuyant notamment sur les connaissances du domaine
In recent years the problems related to modeling and improving business processes have been of growing interest. Indeed, companies are realizing the undeniable impact of a better understanding and management of business processes (BP) on the effectiveness, consistency, and transparency of their business operations. BP modeling aims at a better understanding of processes, allowing deciders to achieve strategic goals of the company. However, inexperienced systems analysts often lack domain knowledge leading and this affects the quality of models they produce.Our approach targets the problem related to business process modeling quality by proposing an approach encompassing methods and tools for business process (BP) models quality measurement and improvement. We propose to support this modeling effort with an approach that uses domain knowledge to improve the semantic quality of BP models.The main contribution of this thesis is fourfold:1. Exploiting the IS domain knowledge: A business process metamodel is identified.Semantics are added to the metamodel by the mean of OCL constraints.2. Exploiting the application domain knowledge. It relies on domain ontologies. Alignment between the concepts of both metamodels is defined and illustrated.3. Designing of the guided quality process encompassing methods and techniques to evaluate and improve the business process models. Our process propose many quality constraints and metrics in order to evaluat the quality of the models and finally the process propose relevant recommendations for improvement.4. Development of a software prototype “BPM-Quality”. Our prototype implements all theabove mentioned artifacts and proposes a workflow enabling its users to evaluate andimprove CMs efficiently and effectively.We conducted a survey to validate the selection of the quality constraints through a first experience and also conducted a second experiment to evaluate the efficacy and efficiency of our overall approach and proposed improvements
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Ayad, Sarah. "Business Process Models Quality : evaluation and improvement." Electronic Thesis or Diss., Paris, CNAM, 2013. http://www.theses.fr/2013CNAM0922.

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La problématique scientifique abordée correspond à la modélisation et à l'amélioration des processus métiers. Ce problème est d'un intérêt croissant pour les entreprises qui prennent conscience de l'impact indéniable que peuvent avoir une meilleure compréhension et une meilleure gestion des processus métiers (PM) sur l'efficacité, la cohérence et la transparence de leurs activités. Le travail envisagé dans le cadre de la thèse vise à proposer une méthode et un outil pour mesurer et améliorer la qualité des modèles de processus métier. L’originalité de l’approche est qu’elle vise non seulement la qualité syntaxique mais aussi la qualité sémantique et pragmatique en s’appuyant notamment sur les connaissances du domaine
In recent years the problems related to modeling and improving business processes have been of growing interest. Indeed, companies are realizing the undeniable impact of a better understanding and management of business processes (BP) on the effectiveness, consistency, and transparency of their business operations. BP modeling aims at a better understanding of processes, allowing deciders to achieve strategic goals of the company. However, inexperienced systems analysts often lack domain knowledge leading and this affects the quality of models they produce.Our approach targets the problem related to business process modeling quality by proposing an approach encompassing methods and tools for business process (BP) models quality measurement and improvement. We propose to support this modeling effort with an approach that uses domain knowledge to improve the semantic quality of BP models.The main contribution of this thesis is fourfold:1. Exploiting the IS domain knowledge: A business process metamodel is identified.Semantics are added to the metamodel by the mean of OCL constraints.2. Exploiting the application domain knowledge. It relies on domain ontologies. Alignment between the concepts of both metamodels is defined and illustrated.3. Designing of the guided quality process encompassing methods and techniques to evaluate and improve the business process models. Our process propose many quality constraints and metrics in order to evaluat the quality of the models and finally the process propose relevant recommendations for improvement.4. Development of a software prototype “BPM-Quality”. Our prototype implements all theabove mentioned artifacts and proposes a workflow enabling its users to evaluate andimprove CMs efficiently and effectively.We conducted a survey to validate the selection of the quality constraints through a first experience and also conducted a second experiment to evaluate the efficacy and efficiency of our overall approach and proposed improvements
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Al, Jlailaty Diana. "Mining Business Process Information from Emails Logs for Process Models Discovery." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED028.

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Les informations échangées dans les textes des courriels sont généralement concernées par des événements complexes ou des processus métier dans lesquels les entités qui échangent des courriels collaborent pour atteindre les objectifs finaux des processus. Ainsi, le flux d’informations dans les courriels envoyés et reçus constitue une partie essentielle, les activités métier de l’entreprise. L’extraction d’informations sur les processus métier à partir des courriels peut aider à améliorer la gestion des courriels pour les utilisateurs. Il peut également être utilisé pour trouver des réponses riches à plusieurs questions analytiques sur les employés et les organisations. Aucun des travaux précédents n’a résolu le problème de la transformation automatique des journaux de courriels en journaux d’événements pour éventuellement en déduire les processus métier non documentés. Dans ce but, nous travaillons dans cette thèse sur un framework qui induit des informations de processus métier à partir d’emails. Nous introduisons des approches qui contribuent à ce qui suit : (1) découvrir pour chaque courriel le sujet de processus qui le concerne, (2) découvrir l’instance de processus métier à laquelle appartient chaque courriel, (3) extraire les activités de processus métier des courriels et associer ces activités aux métadonnées qui les décrivent, (4) améliorer la performance de la découverte des instances de processus métier et des activités métier en utilisant la relation entre ces deux problèmes, et enfin (5) estimer au préalable la date/heure réelle d’un activité métier. En utilisant les résultats des approches mentionnées, un journal d’événements est généré qui peut être utilisé pour déduire les modèles de processus métier d’un journal de courriels. L’efficacité de toutes les approches ci-dessus est prouvée par l’application de plusieurs expériences sur l’ensemble de données de courriel ouvert d’Enron
Exchanged information in emails’ texts is usually concerned by complex events or business processes in which the entities exchanging emails are collaborating to achieve the processes’ final goals. Thus, the flow of information in the sent and received emails constitutes an essential part of such processes i.e. the tasks or the business activities. Extracting information about business processes from emails can help in enhancing the email management for users. It can be also used in finding rich answers for several analytical queries about the employees and the organizations enacting these business processes. None of the previous works have fully dealt with the problem of automatically transforming email logs into event logs to eventually deduce the undocumented business processes. Towards this aim, we work in this thesis on a framework that induces business process information from emails. We introduce approaches that contribute in the following: (1) discovering for each email the process topic it is concerned by, (2) finding out the business process instance that each email belongs to, (3) extracting business process activities from emails and associating these activities with metadata describing them, (4) improving the performance of business process instances discovery and business activities discovery from emails by making use of the relation between these two problems, and finally (5) preliminary estimating the real timestamp of a business process activity instead of using the email timestamp. Using the results of the mentioned approaches, an event log is generated which can be used for deducing the business process models of an email log. The efficiency of all of the above approaches is proven by applying several experiments on the open Enron email dataset
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Awad, Ahmed Mahmoud Hany Aly. "A compliance management framework for business process models." Phd thesis, Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4922/.

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Companies develop process models to explicitly describe their business operations. In the same time, business operations, business processes, must adhere to various types of compliance requirements. Regulations, e.g., Sarbanes Oxley Act of 2002, internal policies, best practices are just a few sources of compliance requirements. In some cases, non-adherence to compliance requirements makes the organization subject to legal punishment. In other cases, non-adherence to compliance leads to loss of competitive advantage and thus loss of market share. Unlike the classical domain-independent behavioral correctness of business processes, compliance requirements are domain-specific. Moreover, compliance requirements change over time. New requirements might appear due to change in laws and adoption of new policies. Compliance requirements are offered or enforced by different entities that have different objectives behind these requirements. Finally, compliance requirements might affect different aspects of business processes, e.g., control flow and data flow. As a result, it is infeasible to hard-code compliance checks in tools. Rather, a repeatable process of modeling compliance rules and checking them against business processes automatically is needed. This thesis provides a formal approach to support process design-time compliance checking. Using visual patterns, it is possible to model compliance requirements concerning control flow, data flow and conditional flow rules. Each pattern is mapped into a temporal logic formula. The thesis addresses the problem of consistency checking among various compliance requirements, as they might stem from divergent sources. Also, the thesis contributes to automatically check compliance requirements against process models using model checking. We show that extra domain knowledge, other than expressed in compliance rules, is needed to reach correct decisions. In case of violations, we are able to provide a useful feedback to the user. The feedback is in the form of parts of the process model whose execution causes the violation. In some cases, our approach is capable of providing automated remedy of the violation.
Firmen entwickeln Prozessmodelle um ihre Geschäftstätigkeit explizit zu beschreiben. Geschäftsprozesse müssen verschiedene Arten von Compliance-Anforderungen einhalten. Solche Compliance-Anforderungen entstammen einer Vielzahl von Quellen, z.B. Verordnung wie dem Sarbanes Oxley Act von 2002, interne Richtlinien und Best Practices. Die Nichteinhaltung von Compliance-Anforderungen kann zu gesetzlichen Strafen oder dem Verlust von Wettbewerbsvorteilen und somit dem Verlust von Marktanteilen führen. Im Gegensatz zum klassischen, domänen-unabhängigen Begriff der Korrektheit von Geschäftsprozessen, sind Compliance-Anforderungen domain-spezifisch und ändern sich im Laufe der Zeit. Neue Anforderungen resultieren aus neuen Gesetzen und der Einführung neuer Unternehmensrichtlinien. Aufgrund der Vielzahl der Quellen für Compliance-Anforderungen, können sie unterschiedliche Ziele verfolgen und somit widersprüchliche Aussagen treffen. Schließlich betreffen Compliance-Anforderungen verschiedene Aspekte von Geschäftsprozessen, wie Kontrollfluss- und Datenabhängigkeiten. Auf Grund dessen können Compliance-Prüfungen nicht direkt Hard-coded werden. Vielmehr ist ein Prozess der wiederholten Modellierung von Compliance-Regeln und ihrer anschließenden automatischen Prüfung gegen die Geschäftsprozesse nötig. Diese Dissertation stellt einen formalen Ansatz zur Überprüfung der Einhaltung von Compliance-Regeln während der Spezifikation von Geschäftsprozessen vor. Mit visuellen Mustern ist es möglich, Compliance-Regeln hinsichtlich Kontrollfluss- und Datenabhängigkeiten sowie bedingte Regeln zu spezifizieren. Jedes Muster wird in eine Formel der temporalen Logik abgebildet. Die Dissertation behandelt das Problem der Konsistenzprüfung zwischen verschiedenen Compliance-Anforderungen, wie sie sich aus unterschiedlichen Quellen ergeben können. Ebenfalls zeigt diese Dissertation, wie Compliance-Regeln gegen die Geschäftsprozesse automatisch mittels Model Checking geprüft werden. Es wird aufgezeigt, dass zusätzliche Domänen-Kenntnisse notwendig sind, um richtige Entscheidungen zu treffen. Der vorgestelle Ansatz ermöglicht nützliches Feedback für Modellierer im Fall eines Compliance-Verstoßes. Das Feedback wird in Form von Teilen des Prozessmodells gegeben, deren Ausführung die Verletzung verursacht. In einigen Fällen ist der vorgestellte Ansatz in der Lage, den Compliance-Verstoß automatisch zu beheben.
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Books on the topic "Business Process Models"

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Gerth, Christian. Business Process Models. Change Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38604-6.

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service), SpringerLink (Online, ed. Business Process Models. Change Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Wang, Wei. Integrating Business Process Models and Rules. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11809-9.

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Leopold, Henrik, ed. Natural Language in Business Process Models. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-04175-9.

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Business process engineering: Reference models for industrial enterprises. Berlin: Springer, 1998.

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August-Wilhelm, Scheer, ed. Business process engineering: Reference models for industrial enterprises. 2nd ed. Berlin: Springer-Verlag, 1994.

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Scheer, August-Wilhelm. Business Process Engineering: Reference Models for Industrial Enterprises. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994.

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Business enterprise, process, and technology management: Models and applications. Hershey PA: Business Science Reference, 2012.

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Johan, Marklund, ed. Business process modeling, simulation, and design. Upper Saddle River, NJ: Pearson/Prentice Hall, 2004.

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Kranenburg, Kees. Model-based application development (MAD): Generating information systems from models and business rules. Deventer: Kluwer BedrijfsInformatie, 1998.

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Book chapters on the topic "Business Process Models"

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Kunze, Matthias, and Mathias Weske. "Business Process Models." In Behavioural Models, 125–59. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44960-9_5.

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La Rosa, Marcello, Florian Gottschalk, Marlon Dumas, and Wil M. P. van der Aalst. "Linking Domain Models and Process Models for Reference Model Configuration." In Business Process Management Workshops, 417–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78238-4_43.

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Draheim, Dirk. "Semantics of Business Process Models." In Business Process Technology, 75–117. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-01588-5_4.

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Schmidt, Günter. "Scheduling Models for Workflow Management." In Business Process Modelling, 67–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80317-8_4.

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La Rosa, Marcello, Marlon Dumas, Reina Uba, and Remco Dijkman. "Merging Business Process Models." In On the Move to Meaningful Internet Systems: OTM 2010, 96–113. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16934-2_10.

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Eshuis, Rik, and Pieter Van Gorp. "Synthesizing Object-Centric Models from Business Process Models." In Business Process Management Workshops, 155–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06257-0_13.

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Redding, Guy, Marlon Dumas, Arthur H. M. ter Hofstede, and Adrian Iordachescu. "Transforming Object-Oriented Models to Process-Oriented Models." In Business Process Management Workshops, 132–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78238-4_15.

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Küster, Jochen M., Jana Koehler, and Ksenia Ryndina. "Improving Business Process Models with Reference Models in Business-Driven Development." In Business Process Management Workshops, 35–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11837862_5.

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Edirisuriya, Ananda, and Paul Johannesson. "On the Alignment of Business Models and Process Models." In Business Process Management Workshops, 68–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00328-8_7.

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Bruno, Giorgio, and Marcello La Rosa. "From Collaboration Models to BPEL Processes Through Service Models." In Business Process Management Workshops, 75–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11678564_8.

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Conference papers on the topic "Business Process Models"

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De Nicola, Antonio, Tania Di Mascio, Mario Lezoche, and Francesco Taglino. "Semantic Lifting of Business Process Models." In 2008 Workshop on Models and Model-driven Methods for Enterprise Computing (3M4EC 2008). IEEE, 2008. http://dx.doi.org/10.1109/edocw.2008.55.

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Decreus, Ken, and Geert Poels. "Putting Business into Business Process Models." In 2008 32nd Annual IEEE International Computer Software and Applications Conference. IEEE, 2008. http://dx.doi.org/10.1109/compsac.2008.110.

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Dijkman, Remco, Marlon Dumas, Luciano Garcia-Banuelos, and Reina Kaarik. "Aligning Business Process Models." In 2009 IEEE International Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2009. http://dx.doi.org/10.1109/edoc.2009.11.

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Levina, Olga, Oliver Holschke, and Jannis Rake-Revelant. "Extracting business logic from business process models." In 2010 2nd IEEE International Conference on Information Management and Engineering. IEEE, 2010. http://dx.doi.org/10.1109/icime.2010.5477554.

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Thi, Thanh Thoa Pham, Markus Helfert, Fakir Hossain, and Thang Le Dinh. "Discovering business rules from business process models." In the 12th International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2023607.2023652.

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Weidong, Zhao, Dai Weihui, and Wu Liang. "Role-driven Business Process Models." In 2006 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icsmc.2006.385073.

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Giraldo, Faber, Alexander Alzate, Laura Duarte, Monica Tobon, and Briyan Hoyos. "Deriving collaborative models from business process models." In 2011 6th Colombian Computing Congress (CCC). IEEE, 2011. http://dx.doi.org/10.1109/colomcc.2011.5936278.

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Markovic, Ivan, and Marek Kowalkiewicz. "Linking Business Goals to Process Models in Semantic Business Process Modeling." In 2008 12th International IEEE Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2008. http://dx.doi.org/10.1109/edoc.2008.43.

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Ramadan, Qusai, Mattia Salnitriy, Daniel Struber, Jan Jurjens, and Paolo Giorgini. "From Secure Business Process Modeling to Design-Level Security Verification." In 2017 ACM/IEEE 20th International Conference on Model-Driven Engineering Languages and Systems (MODELS). IEEE, 2017. http://dx.doi.org/10.1109/models.2017.10.

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Nagel, Benjamin, Christian Gerth, Gregor Engels, and Jennifer Post. "Ensuring Consistency among Business Goals and Business Process Models." In 2013 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2013). IEEE, 2013. http://dx.doi.org/10.1109/edoc.2013.12.

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Reports on the topic "Business Process Models"

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Pueyo, Ana, Gisela Ngoo, Editruda Daulinge, and Adriana Fajardo. The Quest for Scalable Business Models for Mini-Grids in Africa: Implementing the Keymaker Model in Tanzania. Institute of Development Studies, October 2022. http://dx.doi.org/10.19088/ids.2022.071.

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Achieving universal electrification in sub-Saharan Africa requires creative solutions. Renewable mini-grids are a promising technology to electrify remote communities with a substantial productive demand, mainly from agro-processing. Mini-grids have experienced fast growth and there are now around 2,200 systems in the sub-Saharan Africa region. However, their economic case in the sub-continent is unclear. Most mini-grids are struggling not only to obtain a profit but also to recover costs. This Research Report describes the case of a private company in Tanzania implementing a business model for mini-grids that promotes productive uses of energy to achieve financial sustainability (the ‘Keymaker model’). A group of researchers worked jointly with the mini-grid developer to procure equipment for fish processing activities, support local entrepreneurs to use electricity productively, and to document and learn from the process. Although the business model was ultimately unsuccessful – facing high regulatory risks, high initial tariffs required to recover costs, and complex management of agro-processing activities – the project offers useful lessons and considerations for future efforts to promote mini-grids, and how public–private partnerships can help improve affordability and reduce regulatory risks.
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Kornelakis, Andreas, Chiara Benassi, Damian Grimshaw, and Marcela Miozzo. Robots at the Gates? Robotic Process Automation, Skills and Institutions in Knowledge-Intensive Business Services. Digital Futures at Work Research Centre, May 2022. http://dx.doi.org/10.20919/vunu3389.

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Against the backdrop of the fourth industrial revolution, this paper examines the emergence of Robotic Process Automation (RPA) as one of the new technologies that are shaping the future of work and reconfiguring sectoral business and innovation systems and models. It discusses how the institutional context can potentially mediate the digital transformation of services, how RPA affects workers’ employment and skills, and how it alters inter-organisational relationships and capabilities. Bringing together different strands of academic literature on employment studies, innovation, and technology studies, it deploys a comparative institutional perspective to explore the potential effects of RPA and illustrates their plausibility through mini case studies from knowledge-intensive business services
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Barkow, Ingo, William Block, Jay Greenfield, Arofan Gregory, Marcel Hebing, Larry Hoyle, and Wolfgang Zenk-Moltgen. Generic Longitudinal Business Process Model. Inter-university Consortium for Political and Social Research (ICPSR), 2013. http://dx.doi.org/10.3886/ddilongitudinal05.

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Willis, Larkin, and Monica R. Martinez. Authentic Student Work in College Admissions: Lessons From the Ross School of Business. Learning Policy Institute, January 2023. http://dx.doi.org/10.54300/756.774.

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To develop holistic review processes, admission professionals are changing the ways they structure applications for undergraduate admissions. This study examines how the Stephen M. Ross School of Business (Ross School) at the University of Michigan requests, collects, and reviews portfolios of student work along with traditional application materials. The first section presents the rationale for the new holistic review process, the second shares insights it provides the Ross School, and the third details how admission professionals at the Ross School built it. The case illuminates the use of student-generated portfolios as one possible model for other higher education systems seeking to evolve their holistic admission processes.
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Fernández Martín, Andrés, and Adam Gulan. Interest Rates and Business Cycles in Emerging Economies: The Role of Financial Frictions. Inter-American Development Bank, November 2012. http://dx.doi.org/10.18235/0011424.

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Countercyclical country interest rates have been shown to be both a distinctive characteristic and an important driving force of business cycles in emerging market economies. In order to account for this, most business cycle models of emerging market economies have relied on ad hoc and exogenous countercyclical interest rate processes. This paper embeds a financial contract à la Bernanke et al. (1999) in a standard small open economy business cycle model that endogenously delivers countercyclical interest rates. The model is then applied to the data, drawn from a novel panel dataset for emerging economies that includes financial data, namely sovereign and corporate interest rates as well as leverage. It is shown that the model accounts well not only for countercyclical interest rates, but also for other stylized facts of emerging economies` business cycles, including the dynamics of leverage.
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Ketterer, Juan Antonio. Digital Finance: New Times, New Challenges, New Opportunities. Inter-American Development Bank, March 2017. http://dx.doi.org/10.18235/0007028.

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Since the end of the great crisis of 2007-10, the financial services industry began a process of accelerating change. New business models based on convergent technological developments are challenging the status quo of a long-established and traditional industry. The purpose of this document is to consider the latest developments in the financial services industry and to discuss how they might affect the ability for firms--particularly small- and medium-sized enterprises (SMEs)--and individuals to access financing. It concludes that the transformative developments in the financial services industry will most likely improve and expand access of firms and individuals to finance, as well as increase formalization and financial inclusion. Some hurdles and risks that may hamper and/or delay the process are identified: the reaction of the industry incumbents, the lack of appropriate and timely regulation, the lack of access to good-quality and affordable digital connectivity (broadband access), and the unforeseen and seriously disruptive changes that might come from the payments space. To confront these risks, the public sector must define a set of proper and timely responses. The strategy for public interventions must be defined based on a deep understanding of the forces that are driving the change.
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Schacher, Gordon, Nelson Irvine, and Roger B. Hoyt. Joint Intelligence Operations Center (JIOC) Baseline Business Process Model & Capabilities Evaluation Methodology. Fort Belvoir, VA: Defense Technical Information Center, March 2012. http://dx.doi.org/10.21236/ada562584.

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Vale, Steven. Exploring the relationship between DDI, SDMX and the Generic Statistical Business Process Model. Inter-university Consortium for Political and Social Research (ICPSR), 2011. http://dx.doi.org/10.3886/ddiothertopics01.

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Woods, Mel, Michael Marra, and Saskia Coulson. Design in Action Knowledge Exchange Process Model: Design-led Knowledge Exchange for Business Innovation. University of Dundee, 2015. http://dx.doi.org/10.20933/10000100.

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Cattaneo, Matias D., Richard K. Crump, and Weining Wang. Beta-Sorted Portfolios. Federal Reserve Bank of New York, July 2023. http://dx.doi.org/10.59576/sr.1068.

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Beta-sorted portfolios—portfolios comprised of assets with similar covariation to selected risk factors—are a popular tool in empirical finance to analyze models of (conditional) expected returns. Despite their widespread use, little is known of their statistical properties in contrast to comparable procedures such as two-pass regressions. We formally investigate the properties of beta-sorted portfolio returns by casting the procedure as a two-step nonparametric estimator with a nonparametric first step and a beta-adaptive portfolios construction. Our framework rationalizes the well-known estimation algorithm with precise economic and statistical assumptions on the general data generating process. We provide conditions that ensure consistency and asymptotic normality along with new uniform inference procedures allowing for uncertainty quantification and general hypothesis testing for financial applications. We show that the rate of convergence of the estimator is non-uniform and depends on the beta value of interest. We also show that the widely used Fama-MacBeth variance estimator is asymptotically valid but is conservative in general and can be very conservative in empirically relevant settings. We propose a new variance estimator, which is always consistent and provide an empirical implementation which produces valid inference. In our empirical application we introduce a novel risk factor—a measure of the business credit cycle—and show that it is strongly predictive of both the cross-section and time-series behavior of U.S. stock returns.
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