Towards Understanding the Process of Process Modeling: Theoretical and Empirical Considerations

Soffer, Pnina; Kaner, Maya; Wand, Yair

doi:10.1007/978-3-642-28108-2_35

Cited by 33 publications

(60 citation statements)

References 18 publications

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“…Researchers have studied how people typically construct process models in a research stream they called "the process of process modeling" [19]. Recker, et al identified five methods that novices apply to construct a process model: textual design, flowchart design, hybrid design, storyboard design, and canvas design [20].…”

Section: 2mentioning

confidence: 99%

Towards a Structured Process Modeling Method: Building the Prescriptive Modeling Theory

Claes

Vanderfeesten

Gailly

et al. 2017

Business Process Management Workshops

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Abstract. In their effort to control and manage processes, organizations often create process models. The quality of such models is not always optimal, because it is challenging for a modeler to translate her mental image of the process into a formal process description. In order to support this complex human processing task, we are developing a smart process modeling method. This paper describes how we have built the underlying prescriptive theory, which is constructed from existing evidence about successful information processing techniques in cognitive psychology.Keywords: business process management, business process modeling, human aspects of bpm, smart bpm, process of process modeling IntroductionIn an ever-increasing competitive market and in the context of globalization, masscustomization and risk management, it is currently considered important for organizations to manage and control their core processes. One of the instruments developed to support process management are process models, i.e., representations of certain aspects of the process that abstract from individual process executions [1].Process models are typically constructed to support communication, documentation, analysis, simulation, execution, etc.[1]. Quality of process models can thus be seen as a measure of how well the model succeeds in supporting the goal: i.e. the fit-for-purpose. Hence, various process model quality variables and metrics have been studied and developed, related to different goals [2,3] As such, the business process management community has developed a good understanding of what constitutes a 'good' process model. In contrast, far less is

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Section: 2mentioning

confidence: 99%

Towards a Structured Process Modeling Method: Building the Prescriptive Modeling Theory

Claes

Vanderfeesten

Gailly

et al. 2017

Business Process Management Workshops

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“…Design activities, e.g., conceptual modeling, involve the construction of a mental model of the domain from an informal requirements description and its externalization using the elements provided by the modeling notation [6] by using the tools provided by a design platform, e.g., the modeling editor [7]. During the externalization process, the designer evolves the design artifact, i.e., conceptual model, through a series of interactions from an initial state through intermediate states to a final state reflecting the requirements of the domain.…”

Section: Cognitive Load In Design Activitiesmentioning

confidence: 99%

Measuring and Explaining Cognitive Load During Design Activities: A Fine-Grained Approach

Weber

Neurauter

Burattin

et al. 2017

Information Systems and Neuroscience

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Abstract. Recent advances in neuro-physiological measurements resulted in reliable and objective measures of Cognitive Load (CL), e.g., using pupillary responses. However, continuous measurement of CL in software design activities, e.g., conceptual modeling, has received little attention. In this paper, we present the progress of our work intended to close this gap by continuously measuring cognitive load during design activities. This work aims at advancing our understanding of WHEN and WHY designers face challenges. For this, we attempt to explore and explain the occurrence of CL using fine-granular units of analysis (e.g., type of subtasks, evolution of design artifact's quality, and manner of technology use). We expect implications for the future development of intelligent software systems, which are aware WHEN a particular designer experiences challenges, but also WHY challenges occur.

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“…Examining the process of conceptual modeling is an area of research that has gained momentum in the last years (Claes et al 2013;Soffer et al 2012). Research in the area of process management traditionally has taken the existence of appropriate models for granted (Hjalmarsson et al 2015), and has hardly addressed the questions of how models should be created, who should be involved during creation, and how an appropriate representation of the real world could be assessed.…”

Section: Introductionmentioning

confidence: 99%

“…These works argue for the need of assessing the development of understanding about the modeled topic, as the understanding of a topic ultimately affects the actions performed in the real world. Several authors have addressed this issue from a cognitive perspective, focusing on the development of understanding on the subject of modeling for individual modelers (Claes et al 2015;Recker et al 2013;Soffer et al 2012). They, however, either focus on examining the modeling process of individual modelers confronted with artificial tasks in an experimental setting (Claes et al 2015;Soffer et al 2012) or examine collaborative modeling processes ex-post using questionnaires (Recker et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of collaborative modeling processes for knowledge articulation and alignment

Oppl

2016

Inf Syst E-Bus Manage

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The evaluation of modeling processes for years has focused on assessing the outcome of modeling, while the process of modeling itself hardly has been subject of examination. Only in recent years, with rising interest in collaborative conceptual modeling approaches, the process of modeling has gained more attention. Different streams of research have focused on examining the sequence of model manipulations or have considered the collaborative modeling to be a negotiation process and shaped evaluation criteria accordingly. This article proposes to add the perspective of articulation and alignment of the topic of modeling to the potential foci of evaluation. Its contribution is to show, how existing research originating in theories of co-construction of knowledge can be adapted for this purpose and how the adopted perspective is complementary to those already available in related work. A comparative field study applying different evaluation methods on a single real world showcase is presented to show the practical applicability of the approach and allows to identify potential for the combination of previously unrelated analytical dimensions.

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Towards Understanding the Process of Process Modeling: Theoretical and Empirical Considerations

Cited by 33 publications

References 18 publications

Towards a Structured Process Modeling Method: Building the Prescriptive Modeling Theory

Towards a Structured Process Modeling Method: Building the Prescriptive Modeling Theory

Measuring and Explaining Cognitive Load During Design Activities: A Fine-Grained Approach

Evaluation of collaborative modeling processes for knowledge articulation and alignment

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