Repeated use of process models: The impact of artifact, technological and individual factors [Extended Abstract]

Business process modeling has received a lot of attention from practitioners and researchers alike. Organizations make significant investments into process modeling in terms of training, tools and resources. Yet, having invested into creating large process model collections, process models often fall into disuse, provoking the impression that the initial investment has been lost. In this paper we present a summary of a study on factors that facilitate or hinder the repeated use of process models by individual users. Results from that study indicate the importance of quality and ease of understanding of process models to repeated use, alongside individual factors, such as motivation and individual expertise. We also identified means that support organizations in promoting repeated process model use. The work summarized in this extended abstract has been published in [No16]

Alignment-based Quality Metrics in Conformance Checking

International audienceThe holy grail in process mining is a process discovery algorithm that, given an event log, produces fitting, precise, properly generalizing and simple process models. Within the field of process mining, conformance checking is considered to be anything where observed behaviour, e.g., in the form of event logs or event streams, needs to be related to already modelled behaviour. In the conformance checking domain, the relation between an event log and a model is typically quantified using fitness, precision and generalization. In this paper, we present metrics for fitness, precision and generalization, based on alignments and the newer concept named anti-alignments

The Need for Compliance Verification in Collaborative Business Processes

Compliance constrains processes to adhere to rules, standards, laws and regulations. Non-compliance subjects enterprises to litigation and financial fines. Collaborative business processes cross organizational and regional borders implying that internal and cross regional regulations must be complied with. To protect customs’ data, European enterprises must comply with the EU data privacy regulation (general data protection regulation - GDPR) and each member state’s data protection laws. An example of non-compliance with GDPR is Facebook, it is accused for breaching subscriber trust. Compliance verification is thus essential to deploy and implement collaborative business process systems. It ensures that processes are checked for conformance to compliance requirements throughout their life cycle. In this paper we take a proactive approach aiming to discuss the need for design time preventative compliance verification as opposed to after effect runtime detective approach. We use a real-world case to show how compliance needs to be analyzed and show the benefits of applying compliance check at the process design stag

The Need for Compliance Verification in Collaborative Business Processes

Compliance constrains processes to adhere to rules, standards, laws and regulations. Non-compliance subjects enterprises to litigation and financial fines. Collaborative business processes cross organizational and regional borders implying that internal and cross regional regulations must be complied with. To protect customs’ data, European enterprises must comply with the EU data privacy regulation (general data protection regulation - GDPR) and each member state’s data protection laws. An example of non-compliance with GDPR is Facebook, it is accused for breaching subscriber trust. Compliance verification is thus essential to deploy and implement collaborative business process systems. It ensures that processes are checked for conformance to compliance requirements throughout their life cycle. In this paper we take a proactive approach aiming to discuss the need for design time preventative compliance verification as opposed to after effect runtime detective approach. We use a real-world case to show how compliance needs to be analyzed and show the benefits of applying compliance check at the process design stag

Collection and Elicitation of Business Process Compliance Patterns with Focus on Data Aspects

Business process compliance is one of the prevalent challenges for companies. Despite an abundance of research proposals, companies still struggle with manual compliance checks and the understanding of compliance violations in the light of missing root-cause explanations. Moreover, approaches have merely focused on the control flow perspective in compliance checking, neglecting other aspects such as the data perspective. This paper aims at analyzing the gap between existing academic work and compliance demands from practice with a focus on the data aspects. The latter emerges from a small set of regulatory documents from different domains. Patterns are assumed as the right level of abstraction for compliance specification due to their independence of (technical) implementation in (process-aware) information systems, potential for reuse, and understandability. A systematic literature review collects and assesses existing compliance patterns. A first analysis of ten regulatory documents from different domains specifically reveals data-oriented compliance constraints that are not yet reflected by existing compliance patterns. Accordingly, data-related compliance patterns are specified

Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review

Recent years have seen the emergence of object-centric process mining techniques. Born as a response to the limitations of traditional process mining in analyzing event data from prevalent information systems like CRM and ERP, these techniques aim to tackle the deficiency, convergence, and divergence issues seen in traditional event logs. Despite the promise, the adoption in real-world process mining analyses remains limited. This paper embarks on a comprehensive literature review of object-centric process mining, providing insights into the current status of the discipline and its historical trajectory

Investigating the Effects of a Virtual Process Environment on the Comprehension of Business Process Models

Within the scope of Business Process Management and Modeling, gamification is used, inter alia, to promote process model comprehension and for motivational and educational purposes. In the context of gamification in Business Process Management, this master thesis aims to investigate the effects of a virtual process environment on the cognitive load a process reader perceives during the comprehension of a process model. The comprehension of process models is essential for the proper modeling of business processes, and vice versa. In addition to the previous research approaches in terms of gamification regarding the management and modeling of business processes, this master thesis takes into account concepts from cognitive research. A study with 72 participants was conducted online. Thereby, measures of interest were the cognitive load of the textual process description, the process model and the process model extended with graphics extracted from the virtual process environment. Therefore, a fractorial desgin was established as only the process model was extended with static pictures. The virtual process environment is realized through a video based on a 3D - warehouse scenario game. As a result, no significant difference in the perceived cognitive load of the process reader was found between the three process variants. In summary, after experiencing a virtual process environment, the cognitive load of the process documentations does not differ significantly. Further analysis has shown that the process reader’s confidence in the completeness and adequacy of the shown process documentation is associated with the process document variant. Participants were more confident about the correctness of the process model extended with graphics

Process innovation as creative problem-solving: An experimental study of textual descriptions and diagrams [Extended Abstract]

Supporting business and systems analysts with process models in idea generation tasks has been a longstanding topic of interest. In the study we summarize in this extended abstract, we examined how process models support process re-design tasks where analysts attempt to generate ideas about novel ways in which organizational processes can be executed. Through an experiment we compared how two types of models about organizational processes – textual and diagrammatical – assist novice analysts in developing innovative solutions to process redesign tasks. The results from our study indicate that diagrams are superior to textual process descriptions regarding the appropriateness of process redesign ideas and tend to produce ideas with higher originality and impact, while the sheer amount of ideas does not vary significantly. Process diagrams also change the focus of the redesign ideas - ideas related to information systems improvements increase, while ideas related to data flow enhancements in a process decrease. The work summarized in this extended abstract has been published in [FR16]

Capability-actor-resource-service : a conceptual modelling approach for value-driven strategic sourcing

This PhD research addresses a problem within strategic sourcing, which is a critical area of strategic management that is centered on decision-making related to procurement. Strategic sourcing is related to two disciplines: (i) procurement and supply management and (ii) strategic management. Sourcing is the strategic part of procurement that refers to tasks like determining cost saving and value-driven opportunities, choosing the most appropriate go-to market strategies, and selecting and evaluating suppliers for building long-term and short-term contractual relationships. Many companies face challenges in obtaining the benefits associated with effective strategic sourcing. Although the concept of strategic sourcing is fairly well recognized, managers are still challenged by many barriers to its implementation. The main problem is the lack of practical instruments (i.e., tools and techniques) to implement the value-driven management approach to strategic sourcing, while at the same time preparing companies for fact-based decision-making by delivering data management and data analytics capabilities. This is the problem which is addressed with this PhD research. To address this problem, the research goal has been defined as “develop a modeling approach that enables companies 1) to drive fact-based decision-making with respect to procurement data management and procurement analytics”; and 2) to implement strategic sourcing toward achieving value-driven targets”. We apply conceptual modeling as our main solution approach to achieve the above research goal. We define three major areas where conceptual modeling can contribute to strategic sourcing decision-making: conceptualization, design and computer support. The proposed conceptual modeling approach is characterized by four different perspectives: (i) a way of thinking (i.e., a conceptual foundation), (ii) a way of modeling (i.e., a modeling language and method to use it), (iii) a way of working (i.e., a model-based analysis approach), and (iv) a way of supporting (i.e., a computer-aided design tool). The scope of PhD research is limited to the first three perspectives, while for the fourth perspective a solution architecture will be proposed as part of future research. This PhD dissertation is a paper-based dissertation consisting of six chapters. Three chapters (chapter 3, 4, 5) of this dissertation have been submitted to international peer-reviewed journals (chapter 4 is published and chapters 3 and 5 are accepted) and one chapter (chapter 2) has been published in the post-conference proceedings of an international workshop