Article
Green & Sustainable Science & Technology
Md Tasbirul Islam, Usha Iyer-Raniga
Summary: The aim of this study is to redesign a canvas for circular business models (CBMs) and validate it through a case study. The developed canvas, called the Circular Business Model Value Dimension Canvas, was validated through a semi-structured interview with a social enterprise operating in hybrid CBM in Australia. The results showed that a successful hybrid CBM requires integration of forward and reverse supply chains and various other factors such as physical stores, effective product return strategy, government funding support, employment of individuals with special needs, and promotion of behavioral change among low-income customer segments.
Article
Computer Science, Information Systems
Patricia Gomez-Valiente, Jennifer Perez Benedi, Jose Maria Lillo-Castellano, Manuel Marina-Breysse
Summary: Cyber-physical systems (CPS) and Internet of Things (IoT) systems are responsible for integrating software in devices. Well-defined and established IoT business process management (BPM) is essential for companies to remain competitive. However, integrating IoT BPM into daily workflow still faces challenges. This article presents a smart IoT BPM architecture and illustrates its application in remote cardiac arrhythmia detection and diagnosis.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Lingling Guo, Yue Cao, Ying Qu, Ming-Lang Tseng
Summary: Sustainable business model innovation (SBMI) refers to the environmentally sustainable innovative business model, implemented through the integration of stakeholder management strategies and dynamic capabilities. This longitudinal study, conducted on a sewage treatment firm in Dalian, China, found that dynamic capabilities play different roles in different types of SBMI, and the integration and learning capabilities are crucial for technology-based business model development.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Hardware & Architecture
Mehdi Rahmanian, Ramin Nassiri, Mehran Mohsenzadeh, Reza Ravanmehr
Summary: Based on service orientation, the enterprise business service plays a critical role in enterprise architecture. By generating test cases based on accurate descriptions of business services, subsequent revisions and changes can be reduced. The proposed method starts from the enterprise level, generates syntactic and semantic models, and generates test cases from the formal model.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Business
Florian Hofmann, Dodo zu Knyphausen-Aufsess
Summary: This study examines the organizational capabilities required to orchestrate CBM experiments and offers a new perspective on the management and organization of CBM experiments. Through a systematic case analysis, three CBM experimentation capabilities are identified: contextualizing, dynamic co-structuring, and governing intangible assets. The findings provide theoretical directions and identify gaps for future research on CBM experiments.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Ming-Hui Liao, Chi-Tai Wang
Summary: The chemical industry faces pressure to become lean enterprises capable of executing traditional lean manufacturing practices as well as emerging strategies of digitalization and sustainability. Successful transformation cases are rare, motivating this research to provide insights into business transformation in the industry.
Article
Computer Science, Information Systems
Zbigniew Juzon, Jaroslaw Wikarek, Pawel Sitek
Summary: Production optimization is a complex process that considers various resources of the company and its environment. This article proposes the use of enterprise architecture to facilitate the interaction between different layers in the optimization process. A proprietary meta-model of enterprise architecture is presented, which helps in constructing detailed optimization models for planning, scheduling, resource allocation, and routing. The article also introduces a mathematical programming problem for production optimization and suggests using an artificial neural network to estimate potential results before optimization.
Article
Engineering, Industrial
Vahid Hajipour, Hamidreza Amouzegar, Ali Gharaei, Mohammad Saeed Gholami Abarghoei, Sepideh Ghajari
Summary: This paper discusses the trend of companies focusing on both financial goals and social/environmental goals. To achieve health, safety, and environmental goals, organizations need to integrate processes associated with HSE components in a single system. However, lack of integration between different systems in organizations makes interaction and collaboration difficult, highlighting the importance of integrating these systems in comprehensive enterprise software.
Article
Engineering, Chemical
Edrisi Munoz, Elisabet Capon-Garcia, Enrique Martinez Munoz, Luis Puigjaner
Summary: The study introduces a wide intelligent management architecture model to aid industries in integrating new technologies for higher profitability in day-to-day tasks. By structuring and integrating process activities, analytical models, transactional systems, and knowledge systems systematically, the model facilitates enterprise development activities effectively.
Article
Chemistry, Multidisciplinary
Fernanda Gonzalez-Lopez, Guillermo Bustos, Jorge Munoz-Gama, Marcos Sepulveda
Summary: The paper introduces a domain-based BPA (dBPA) method for generating business process architecture models, addressing issues in current methods, with an application in the manufacturing industry. Evaluation shows practitioners find the method useful for achieving goals, with benefits of objectivity, clarity, and enabling the integration of processes and automation software.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
Junghee Han
Summary: This paper analyzes the process of servitization as a form of process innovation in manufacturing firms through a single case study. Business model innovation achieved through the convergence of products and services is crucial for a firm's sustainable strategy.
Article
Chemistry, Multidisciplinary
Hana Tomaskova, Erfan Babaee Tirkolaee
Summary: The article demonstrates the difference between a pandemic plan's textual prescription and its effective processing using graphical notation, with a case study of the Czech Republic's pandemic plan. It emphasizes the effectiveness of the process approach in reengineering and improving the response to critical situations, and suggests potential future research directions involving automation, SMART technologies, and process mining techniques for process optimization.
APPLIED SCIENCES-BASEL
(2021)
Article
Business
Tolga Simsek, M. Atilla Oner, Ozlem Kundey, Gokcen Arkali Olcay
Summary: Digital platforms drive traditional companies to transform their business models, which involves changes in core components and identification of factors affecting the transformation process. This study highlights the significant impact of new pricing and sales models on value creation, as well as the importance of acquiring new knowledge and skills for developing and operating platforms. Transformational leadership is found to be a key driver of business model transformation.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Artificial Intelligence
Tobias Fehrer, Dominik A. Fischer, Sander J. J. Leemans, Maximilian Roeglinger, Moe T. Wynn
Summary: This paper presents the concept of assisted business process redesign (ABPR) and a reference architecture to enhance the quality and effectiveness of business process redesign. It also evaluates the applicability and usefulness of the proposed concept and architecture through a real-world case study and expert interviews.
DECISION SUPPORT SYSTEMS
(2022)
Article
Business
Claudia Yadira Rodriguez-Rios, Jorge Enrique Roa-Sanchez
Summary: The research proposes a quantitative model based on indicators designed by the authors to measure the impact of information integration improvements on process performance. Findings suggest that the effects of activity improvements are not immediately reflected but are shown in subsequent activities. Verification in transactional databases is needed to measure the efficiency and quality dimensions of process activities.
BUSINESS PROCESS MANAGEMENT JOURNAL
(2022)
Article
Computer Science, Information Systems
Remco Dijkman, Juntao Gao, Alifah Syamsiyah, Boudewijn van Dongen, Paul Grefen, Arthur ter Hofstede
DISTRIBUTED AND PARALLEL DATABASES
(2020)
Article
Chemistry, Multidisciplinary
Jonnro Erasmus, Irene Vanderfeesten, Konstantinos Traganos, Ruud Keulen, Paul Grefen
APPLIED SCIENCES-BASEL
(2020)
Article
Computer Science, Information Systems
Sander Peters, Yoav Kerner, Remco Dijkman, Ivo Adan, Paul Grefen
Summary: Quantitative business process analysis is a powerful approach for analyzing timing properties of a business process. This paper presents a novel technique based on queueing models that outperforms existing models on accuracy, with low computational cost. The resulting queueing model can be used for fast and accurate timing predictions of business process models.
INFORMATION SYSTEMS
(2022)
Article
Engineering, Industrial
Konstantinos Traganos, Paul Grefen, Irene Vanderfeesten, Jonnro Erasmus, Georgios Boultadakis, Panagiotis Bouklis
Summary: In the Industry 4.0 era, manufacturers remain competitive by integrating advanced technologies, with the HORSE framework serving as a reference architecture for effective management of manufacturing processes and vertical control of technologies in manufacturing organizations.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Business
Minou Benraad, Baris Ozkan, Oktay Turetken, Irene Vanderfeesten
Summary: This study investigates the influence of BPM-supportive culture and individual process orientation on process conformance. The results show that the BPM-supportive culture plays a key role in influencing both individual process orientation and conformance. Additionally, individual process orientation also has a significant impact on process conformance. These findings provide additional evidence for the importance of human-related aspects in achieving BPM success.
BUSINESS PROCESS MANAGEMENT JOURNAL
(2022)
Article
Computer Science, Software Engineering
Zeynep Ozturk Yurt, Rik Eshuis, Anna Wilbik, Irene Vanderfeesten
Summary: This paper presents an explorative case study using enterprise modeling and context-aware business processes to support ATMP scientists in managing the regulatory aspects of ATMP development processes more efficiently and effectively. By introducing context-awareness to the models, relevant tasks can be performed under different contexts to address regulatory requirements efficiently and effectively, with the introduction of the novel concept of execution-dependent dynamic context.
SOFTWARE AND SYSTEMS MODELING
(2023)
Article
Engineering, Electrical & Electronic
Paul Grefen, Irene Vanderfeesten, Anna Wilbik, Marco Comuzzi, Heiko Ludwig, Estefania Serral, Frank Kuitems, Menno Blanken, Marcin Pietrasik
Summary: The outcome economy is a new economic and business paradigm that prioritizes the effects of products and services for customers, rather than their features. In this paper, a framework is proposed to integrate the outcome economy with smart manufacturing, providing a comprehensive structure for customer outcome management from both business and digital technology perspectives. A feedback loop is established to support data-driven product evolution, manufacturing, and delivery. A business reference framework is proposed as a blueprint for designing practical scenarios, utilizing technologies such as the internet of things, business intelligence, blockchain, and business process management. The integration of dispersed research fields and the structured design and implementation of customer outcome management in smart manufacturing are discussed with a visionary case study in the automotive domain.
Article
Computer Science, Artificial Intelligence
Anna Wilbik, Irene Vanderfeesten, Dennis Bergmans, Serge Heines, Oktay Turetken, Walther van Mook
Summary: In healthcare settings, compliance with clinical protocols and medical guidelines is important for high-quality treatment. This paper proposes new metrics for measuring compliance, using fuzzy aggregation techniques. These metrics consider the degree of compliance with activities, the compliance of patients, and the importance of activities. Applied to clinical protocols, these metrics help assess the effectiveness of implemented protocols in terms of compliance.
Proceedings Paper
Computer Science, Information Systems
Zeynep Ozturk Yurt, Rik Eshuis, Banu Aysolmaz, Anna Wilbik, Irene Vanderfeesten
Summary: Knowledge-intensive processes (KiPs) are flexible in achieving process goals. Contextual factors such as location and regulations impact how these goals are achieved in KiPs. For some KiPs, the context can be dynamic, meaning that it can change during the execution of the process based on the decisions and interpretations of the knowledge-worker. A holistic approach that links dynamic context, goals, and processes is crucial in modeling such KiPs. This paper presents a method for integrated modeling of KiPs with contextual goals under dynamic contexts, using enterprise models.
COOPERATIVE INFORMATION SYSTEMS (COOPIS 2022)
(2022)
Proceedings Paper
Computer Science, Information Systems
Zeynep Ozturk Yurt, Rik Eshuis, Anna Wilbik, Irene Vanderfeesten
Summary: A knowledge-intensive process is a flexible process where knowledge workers have control over actions, but the context of a business process impacts goal fulfillment. This paper presents a method that provides prioritization ranking for tasks to help knowledge workers efficiently collect information in dynamic contexts.
ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2022)
(2022)
Article
Engineering, Electrical & Electronic
Paul Grefen, Irene Vanderfeesten, Kostas Traganos, Zuzanna Domagala-Schmidt, Julia van der Vleuten
Summary: This paper provides an overview of four connected projects in Europe aimed at advancing smart manufacturing, sharing application cases and lessons learned. It guides future research and industrial innovation in the smart industry domain.
Proceedings Paper
Business
Ton Soetekouw, Paul Grefen, Oktay Turetken, Irene Vanderfeesten
Summary: The article discusses the importance of organizations' capacity to deal with changing market and societal conditions for success and how mass customization can support business process modularization.
2021 IEEE 23RD CONFERENCE ON BUSINESS INFORMATICS, CBI 2021, VOL 2
(2021)
Proceedings Paper
Computer Science, Hardware & Architecture
Zeynep Ozturk Yurt, Rik Eshuis, Anna Wilbik, Irene Vanderfeesten
Summary: Advanced Therapy Medicinal Products (ATMPs) are highly innovative medicinal products based on biomedical technology, with development processes that require compliance with complex regulatory frameworks. This paper explores how enterprise modelling and context-aware business processes can support ATMP scientists in efficiently managing the regulatory aspects of ATMP development. Using enterprise models, context-awareness is introduced to provide regulatory-based guidance for addressing regulatory requirements efficiently and effectively.
PRACTICE OF ENTERPRISE MODELING, POEM 2021
(2021)
Proceedings Paper
Business
Sudhanshu Chouhan, Anna Wilbik, Remco Dijkman
Summary: During business process execution, mistakes and changes introduced by organizations or employees can lead to anomalies in event logs, which create temporary and periodic process variants. An early identification of these deviations from common cases can help organizations take action, and a method has been developed to classify cases into different categories for real-time discovery of process changes in event log data. The method was evaluated using synthetic and real-world data with promising results.
BUSINESS PROCESS MANAGEMENT (BPM 2021)
(2021)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Amirreza Farahani, Laura Genga, Remco Dijkman
Summary: In this study, Deep Reinforcement Learning was used to address the container allocation problem in multimodal transportation planning under uncertainty, with results showing its superiority over other methods in terms of total transportation costs across different levels of uncertainty. The experiments demonstrated that the proposed approach outperformed heuristics, stochastic programming, and periodic re-planning methods, achieving an average cost difference with the optimal solution within the range of 0.37% to 0.63%.
COMPUTATIONAL LOGISTICS (ICCL 2021)
(2021)