Process and Strategy Mining in Real-Time Strategy Games

2023 | International Conference on Business Informatics | Citations: 0

Authors: Elbert, Nico; Stein, Nikolai; Flath, Christoph M.

Abstract: In this study, we introduce a data-driven approach for process mining in real-t ... Expand

Abstract: In this study, we introduce a data-driven approach for process mining in real-time strategy (RTS) games, which serve as a proxy for corporate decision processes. By analyzing decision sequences in gaming environments, we uncover strategic behaviors impacting performance and match outcomes. Our methodology leverages game data, enriching process mining research and providing implications for strategic planning in business process management. Collapse

Topics: process mining strategic management business process management decision support decision making

Methods: cluster analysis Petri net modeling language XGBoost event log

Engineering Trustable and Auditable Choreography-based Systems Using Blockchain

2022 | ACM Transactions on Management Information Systems | Citations: 0

Authors: Corradini, Flavio; Marcelletti, Alessandro; Morichetta, Andrea; Polini, Andrea; Re, Barbara; Tiezzi, Francesco

Abstract: A key challenge in engineering distributed systems consists in the integration i ... Expand

Abstract: A key challenge in engineering distributed systems consists in the integration into their development of a decentralised infrastructure allowing the system participants to trust each other. In this article, we face such a challenge by proposing a model-driven methodology and a related framework to support the engineering of trustable and auditable systems. The approach is based on choreography diagrams specified in the Business Process Model and Notation standard, describing the interactions that should occur among the distributed components of systems. We support the whole lifecycle of choreographies, from their modelling to their distributed execution and auditing. The framework, based on blockchain technology, is named ChorChain. More specifically, ChorChain takes as input a BPMN choreography model and automatically translates it into a Solidity smart contract. The smart contract permits us to enforce the interactions among the cooperating components as prescribed by the choreography model. By leveraging on the auditability of blockchain, ChorChain also supports the activity of auditors continuously. In such a way, ChorChain enables auditors to get some degree of assurance on what happens simultaneously with, or shortly after, information disclosure. We assess the feasibility and effectiveness of the proposed methodology and framework through experiments conducted on the Rinkeby Ethereum Testnet. Collapse

Topics: blockchain smart contract Ethereum usability supply chain management

Methods: experiment modeling language business process model and notation design artifact survey

Model-based Analysis of Data Inaccuracy Awareness in Business Processes

2022 | Business & Information Systems Engineering | Citations: 0

Authors: Evron, Yotam; Soffer, Pnina; Zamansky, Anna

Abstract: Problem definition: Data errors in business processes can be a source for except ... Expand

Abstract: Problem definition: Data errors in business processes can be a source for exceptions and hamper business outcomes. Relevance: The paper proposes a method for analyzing data inaccuracy issues already at process design time, in order to support process designers by identifying process parts where data errors might remain unrecognized, so decisions could be taken based on inaccurate data. Methodology: The paper follows design science, developing a method as an artifact. The conceptual basis is the notion of data inaccuracy awareness – the ability to tell whether potential discrepancies between real and IS values may exist. Results: The method was implemented on top of a Petri net modeling tool and validated in a case study performed in a large manufacturing company of safety–critical systems. Managerial implications: Anticipating consequences of data inaccuracy already during process design can help avoiding them at runtime. Collapse

Topics: business process design data accuracy data quality business process management

Methods: computational algorithm business process modeling case study qualitative interview modeling language

Shedding light on blind spots – Developing a reference architecture to leverage video data for process mining

2022 | Decision Support Systems | Citations: 0

Authors: Kratsch, Wolfgang; König, Fabian; Röglinger, Maximilian

Abstract: Process mining is one of the most active research streams in business process ma ... Expand

Abstract: Process mining is one of the most active research streams in business process management. In recent years, numerous methods have been proposed for analyzing structured process data. In many cases, however, only the digitized parts of processes are directly captured by process-aware information systems, whereas manual ac­ tivities often leave blind spots in the process analysis. While video data can contain valuable process-related information that is not captured in information systems, a standardized approach to extracting event logs from unstructured video data remains lacking. To solve this problem and facilitate the systematic usage of video data in process mining, we have designed the ViProMiRA, a reference architecture that bridges the gap between computer vision and process mining. The various evaluation activities in our design science research process ensure that the proposed ViProMiRA allows flexible, use case-driven, and context-specific instantiations. Our results also show that a prototypical implementation of the ViProMiRA is capable of automatically extracting more than 70% of the process-relevant events from a real-world video dataset in a supervised learning scenario. Collapse

Topics: process mining open source decision support system privacy complex event processing

Methods: design artifact image processing event log business process modeling design process

Linking Augmented Reality with Peer Tutoring in Vocational Learning Environments: A Multi-Agent-Based Approach

2021 | European Conference On Information Systems | Citations: 0

Authors: Gösling, Henning; Dreesbach, Tobias; Vogel, Jannis; Kochon, Enrico

Abstract: During the elicitation of vocational training processes in a consortium researc ... Expand

Abstract: During the elicitation of vocational training processes in a consortium research project, it became clear that augmented reality (AR) is a useful learning environment. However, using AR glasses may isolate trainees in training workshops and reduce the level of collaboration. In this study, we address these potential adverse side effects with peer tutoring. More exactly, we want to initiate tutor-tutee pairs among trainees during AR-based vocational training processes. We derive design features for a multi-agent-based approach to build tutor-tutee pairs based on concepts from the literature, a technical perspective, and the consortium within a design science research approach. To the best of our knowledge, we are the first to align AR with peer tutoring. With our first results, we provide a novel IT artifact in the realm of computer-supported collaborative learning in the information systems discipline. Future work can build upon these results even outside the scope of AR. Collapse

Topics: social presence software agent smart device smart glass online learning system

Methods: design artifact Petri net structured literature research design science modeling language

Theories: social presence theory

Notation-Agnostic Subprocess Modeling for Adaptive Case Management

2021 | International Conference on Business Informatics | Citations: 0

Authors: Tenschert, Johannes; Dunzer, Sebastian; Matzner, Martin

Abstract: Even though knowledge work comprises tasks that cannot be modeled a priori, some ... Expand

Abstract: Even though knowledge work comprises tasks that cannot be modeled a priori, some structure for routine work or an outlined course of action is often necessary. Knowledge workers perform structured and ad-hoc activities – and a wide range of requirements typically yields many tools. To avoid redundant and scattered process information, a single system of record capable of consolidating flexibility and modeling of different aspects of processes is desirable. For knowledge-intensive processes, we outline how to combine process models for structured routine aspects with the ad-hoc activities and flexibility of social software in the same context. Therefore, a case comprises modeled subprocesses as well as ad-hoc activities and artifacts. The shared context allows to transparently combine aspects and deviate from predefined models. We prototypically implement our approach and show that ad-hoc project management and different notations can be applied within the same case. Collapse

Topics: knowledge work process mining implicit knowledge social media project management

Methods: modeling language business process model and notation business process modeling literature study Petri net

Theories: speech act theory

Business Process Simulation on Procedural Graphical Process Models

2021 | Business & Information Systems Engineering | Citations: 0

Authors: Rosenthal, Kristina; Ternes, Benjamin; Strecker, Stefan

Abstract: Business process simulation marks an essential technique for analyzing business ... Expand

Abstract: Business process simulation marks an essential technique for analyzing business processes and for reasoning about process improvement. With first contributions dating back to the mid-1990s, computerized business process simulation has been a continuing research focus and is widely acknowledged as foundational to Business Process Management research and practice. Reviewing contributions to the field published between 1990 and 2018, the authors assess the state of research on business process simulation and develop an organizing overview of research contributions discussing simulation approaches, tool support, results visualization, use context, application purposes, and adoption barriers. Findings inform future research on business process simulation by discussing paths for behavioral research on the use of business process simulation, user requirements, and adoption barriers as well as complementary paths for design science research addressing limitations of present approaches and simulation tool support. Collapse

Topics: business process management system support database system business process management system user requirement

Methods: simulation modeling language business process modeling design science business process model and notation

Minimizing the data quality problem of information systems: A process-based method

2020 | Decision Support Systems | Citations: 0

Authors: Liu, Qi; Feng, Gengzhong; Zhao, Xi; Wang, Wenlong

Abstract: The low quality of data in information systems poses enormous risks to business ... Expand

Abstract: The low quality of data in information systems poses enormous risks to business operations and decision making. In this paper, a single-period resource allocation problem for controlling the information system's data quality problem is considered. We develop a Data-Quality-Petri net to capture the process through which data quality problem generates, propagates, and accumulates in the information system. The net considers not only the factors leading to the production of the data quality problem by the data operation nodes and the data flow structure, but also the data transfer ratio of the nodes. Then, we propose a nonlinear programming optimization model with control resource constraints. The result of the model provides an optimal strategy to allocate re­ sources for minimizing the expected data quality problem of an information system. Further, we examine the impact of the data flow structure on optimal resource allocation. The result shows that the optimal resource input level for a data operation node is proportional to its potential for downstream propagation. A warehouse management system of an e-commerce company is utilized to illustrate the model. Our study provides a method for data managers to control the information system's data quality problem by employing a process perspective. Collapse

Topics: data quality resource allocation electronic commerce quality management database system

Methods: Petri net modeling language optimization model sensitivity analysis business process modeling

Modeling IT Availability Risks in Smart Factories

2020 | Business & Information Systems Engineering | Citations: 0

Authors: Miehle, Daniel; Häckel, Björn; Pfosser, Stefan; Übelhör, Jochen

Abstract: In the course of the ongoing digitalization of production, production environmen ... Expand

Abstract: In the course of the ongoing digitalization of production, production environments have become increasingly intertwined with information and communication technology. As a consequence, physical production processes depend more and more on the availability of information networks. Threats such as attacks and errors can compromise the components of information networks. Due to the numerous interconnections, these threats can cause cascading failures and even cause entire smart factories to fail due to propagation effects. The resulting complex dependencies between physical production processes and information network components in smart factories complicate the detection and analysis of threats. Based on generalized stochastic Petri nets, the paper presents an approach that enables the modeling, simulation, and analysis of threats in information networks in the area of connected production environments. Different worst-case threat scenarios regarding their impact on the operational capability of a close-to-reality information network are investigated to demonstrate the feasibility and usability of the approach. Furthermore, expert interviews with an academic Petri net expert and two global leading companies from the automation and packaging industry complement the evaluation from a practical perspective. The results indicate that the developed artifact offers a promising approach to better analyze and understand availability risks, cascading failures, and propagation effects in information networks in connected production environments. Collapse

Topics: smart factory production management robotic on-premises software systems analysis

Methods: simulation design science qualitative interview Petri net design artifact

Process Modeling in Humanitarian Settings: A Case Study and Lessons Learned

2020 | European Conference On Information Systems | Citations: 0

Authors: Purao, Sandeep; Garfield, Monica

Abstract: ... Expand

Abstract: Collapse

Topics: analytical information system

Methods: conceptual modelling business process modeling Petri net simulation modeling language