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An Empirical Evaluation of a Generative Artificial Intelligence Technology Adoption Model from Entrepreneurs’ Perspectives Systems (IF 2.895) Pub Date : 2024-03-18 Varun Gupta
Technologies, such as Chat Generative Pre-Trained Transformer (ChatGPT, Smart PLS version 4), are prime examples of Generative Artificial Intelligence (AI), which is a constantly evolving area. SMEs, particularly startups, can obtain a competitive edge, innovate their business models, gain business value, and undergo a digital transformation by implementing these technologies. Continuous but gradual
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A Method for Inspiring Radical Innovative Design Based on Cross-Domain Knowledge Mining Systems (IF 2.895) Pub Date : 2024-03-17 Fei Yu, Xiuchuan Jia, Xiaowei Zhao, Jing Li
The reasonable application of cross-domain knowledge tends to promote the generation of radical innovation. However, it is difficult to accurately capture the cross-domain knowledge needed for radical innovation. To solve this problem, this paper proposes a method for inspiring radical innovative design based on FOS and technological distance measurement. First, the functional analysis of the problem
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Effective Evolutionary Principles for System-of-Systems: Insights from Agent-Based Modeling in Vehicular Networks Systems (IF 2.895) Pub Date : 2024-03-15 Junjie Liu, Junxian Liu, Mengmeng Zhang
System-of-systems (SoS) evolution is a complex and unpredictable process. Although various principles to facilitate collaborative SoS evolution have been proposed, there is a lack of experimental data validating their effectiveness. To address these issues, we present an Agent-Based Model (ABM) for SoS evolution in the Internet of Vehicles (IoV), serving as a quantitative analysis tool for SoS research
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Systems Thinking and Models in Public Health Systems (IF 2.895) Pub Date : 2024-03-16 Philippe J. Giabbanelli, Andrew Page
In responding to population health challenges, epidemiologists want to identify causal associations between an exposure (e [...]
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Sustainable Business Practices and the Role of Digital Technologies: A Cross-Regional Analysis Systems (IF 2.895) Pub Date : 2024-03-14 Samuel Plečko, Barbara Bradač Hojnik
This study examines the relationship between digital transformation and sustainable practices within enterprises against the backdrop of global transformative forces framed within the holistic paradigm of systems thinking. It examines the extent to which digital advances either facilitate or impede the sustainable development of companies, while also considering the systemic impact of demographic variables
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Data Science Supporting Lean Production: Evidence from Manufacturing Companies Systems (IF 2.895) Pub Date : 2024-03-15 Rossella Pozzi, Violetta Giada Cannas, Tommaso Rossi
Research in lean production has recently focused on linking lean production to Industry 4.0 by discussing the positive relationship between them. In the context of Industry 4.0, data science plays a fundamental role, and operations management research is dedicating particular attention to this field. However, the literature on the empirical implementation of data science to lean production is still
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Comparing the Complexity and Efficiency of Composable Modeling Techniques for Multi-Scale and Multi-Domain Complex System Modeling and Simulation Applications: A Probabilistic Analysis Systems (IF 2.895) Pub Date : 2024-03-14 Neal Wagner
Modeling and simulation of complex systems frequently requires capturing probabilistic dynamics across multiple scales and/or multiple domains. Cyber–physical, cyber–social, socio–technical, and cyber–physical–social systems are common examples. Modeling and simulating such systems via a single, all-encompassing model is often infeasible, and thus composable modeling techniques are sought. Co-simulation
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Risk Perception-Based Project Contingency Management Framework Systems (IF 2.895) Pub Date : 2024-03-13 Filippo Maria Ottaviani, Alberto De Marco, Carlo Rafele, Gabriel Castelblanco
Project risk management (PRM) involves identifying risks, assessing their impact, and developing a contingency plan. A structured contingency management (CM) approach prevents subjective biases in analyzing risks and developing responses. Previous studies have either focused on improving the accuracy of risk estimates or analyzed, from a qualitative perspective, the relationships between perceived
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Leveraging Business Intelligence Systems for Enhanced Corporate Competitiveness: Strategy and Evolution Systems (IF 2.895) Pub Date : 2024-03-13 Montserrat Jiménez-Partearroyo, Ana Medina-López
This study contextualizes the transformative role of Business Intelligence (BI) over the past two decades, emphasizing its impact on business strategy and competitive advantage. Employing a dual-method approach, it integrates a bibliometric analysis using SciMAT with a qualitative examination of six key articles from the Web of Science (WoS), analyzed through the Gioia methodology, focusing on BI and
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Impact of Static Urban Traffic Flow-Based Traffic Weighted Multi-Maps Routing Strategies on Pollutant Emissions Systems (IF 2.895) Pub Date : 2024-03-12 Alvaro Paricio-Garcia, Miguel A. Lopez-Carmona
Addressing urban traffic congestion is a pressing issue requiring efficient solutions that need to be analyzed regarding travel time and pollutant emissions. The traffic weighted multi-maps (TWM) method has been proposed as an efficient mechanism for congestion mitigation that enables differential traffic routing and path diversity by strategically distributing different network views (maps) to the
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Using a Metadata Approach to Extend the Functional Resonance Analysis Method to Model Quantitatively, Emergent Behaviours in Complex Systems Systems (IF 2.895) Pub Date : 2024-03-12 Rees Hill, David Slater
In an increasingly complex world there is a real, urgent need for methodologies to enable engineers to model complex sociotechnical systems, as these now seem to describe the majority of systems in use today. This is, of course, exacerbated by the increasing involvement and augmentation with “black box” AI contributions. Hollnagel produced a methodology (FRAM) which did allow the analyst insights into
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Methods for Coordinating Optimization of Urban Building Clusters and District Energy Systems Systems (IF 2.895) Pub Date : 2024-03-12 Peng Wu, Yisheng Liu
In the face of increasingly severe global climate change, achieving zero-carbon development goals has gradually become a consensus across various industries. Enhancing the electrification level of building energy use and increasing the proportion of renewable energy applications are primary means to achieve zero-carbon development in the construction sector, which also imposes higher demands on energy
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The Integration of Complex Systems Science and Community-Based Research: A Scoping Review Systems (IF 2.895) Pub Date : 2024-03-09 Travis R. Moore, Nicholas Cardamone, Helena VonVille, Robert W. S. Coulter
Complex systems science (CSS) and community-based research (CBR) have emerged over the past 50 years as complementary disciplines. However, there is a gap in understanding what has driven the recent proliferation of integrating these two disciplines to study complex and relevant issues. In this review, we report on the results of a scoping review of articles that utilized both disciplines. After two
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A Proposal for a Tokenized Intelligent System: A Prediction for an AI-Based Scheduling, Secured Using Blockchain Systems (IF 2.895) Pub Date : 2024-03-06 Osama Younis, Kamal Jambi, Fathy Eassa, Lamiaa Elrefaei
Intelligent systems are being proposed every day as advances in cloud systems are increasing. Mostly, the services offered by these cloud systems are dependent only on their providers, without the inclusion of services from other providers, specialized third parties, or individuals. This ‘vendor lock-in’ issue and the limitations related to offering tailored services could be resolved by allowing multiple
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Discrete Event Systems Theory for Fast Stochastic Simulation via Tree Expansion Systems (IF 2.895) Pub Date : 2024-03-02 Bernard P. Zeigler
Paratemporal methods based on tree expansion have proven to be effective in efficiently generating the trajectories of stochastic systems. However, combinatorial explosion of branching arising from multiple choice points presents a major hurdle that must be overcome to implement such techniques. In this paper, we tackle this scalability problem by developing a systems theory-based framework covering
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Enhancing Intrusion Detection Systems Using a Deep Learning and Data Augmentation Approach Systems (IF 2.895) Pub Date : 2024-03-01 Rasheed Mohammad, Faisal Saeed, Abdulwahab Ali Almazroi, Faisal S. Alsubaei, Abdulaleem Ali Almazroi
Cybersecurity relies heavily on the effectiveness of intrusion detection systems (IDSs) in securing business communication because they play a pivotal role as the first line of defense against malicious activities. Despite the wide application of machine learning methods for intrusion detection, they have certain limitations that might be effectively addressed by leveraging different deep learning
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Towards a Digital Relational Administration Model for Small and Medium Enterprise Support via E-Tutoring in Spain Systems (IF 2.895) Pub Date : 2024-03-02 Antonio Juan Briones-Peñalver, Francisco Campuzano-Bolarin, Francisco Acosta Hernández, José Rodrigo Córdoba-Pachón
In the context of public administrations after COVID-19, this paper formulates and validates a digital model of tutoring (e-tutoring) for small and medium enterprises (SMEs) by public administrations or PAs to help the former reduce their risks to fold in their first few years of existence and with the support of private professionals (economists, accountants, business advisors, managers, etc.). The
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An Interdisciplinary and Multilevel Analysis of Local Economy Determinants and Their Impact on Firm Performance—Considering Porter’s Diamond Model, Clusters, and Industry Systems (IF 2.895) Pub Date : 2024-03-03 Cosmin Florin Lehene, Mohammad Jaradat, Răzvan Liviu Nistor
Industrial Organization, the Resource-Based View, and the Relational View are some classical, well-established, and widely accepted theories in the strategic management domain regarding the understanding, explanation, and prediction of competitive advantage of firms and above-average firm performance. Recent evidence of economic geography and regional economics added to this stream of research new
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Towards an Affective Intelligent Agent Model for Extrinsic Emotion Regulation Systems (IF 2.895) Pub Date : 2024-02-28 Aaron Pico, Joaquin Taverner, Emilio Vivancos, Vicente Botti, Ana García-Fornes
Emotion regulation is the human ability to modulate one’s or other emotions to maintain emotional well-being. Despite its importance, only a few computational models have been proposed for facilitating emotion regulation. None of them prepare a plan of all the actions necessary for emotion regulation customized to the needs of a specific individual. To address this gap, we propose a computational model
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Analyzing Vulnerabilities of Disaster Risk Management Systems of Local Governments in South Korea: Evidence from National Audit Office Reports Systems (IF 2.895) Pub Date : 2024-02-27 HyoungSuk Cho, NakHyeok Choi
The capacity of local governments to act as frontline disaster management agencies is crucial to urban sustainability and disaster risk management systems. However, vulnerabilities in the management systems can hinder the effectiveness of disaster risk management, affecting the resilience and sustainable development of urban areas. This study examines vulnerable areas of disaster risk management from
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The Importance of e-Recruitment within a Smart Government Framework Systems (IF 2.895) Pub Date : 2024-02-24 Gabriel Koman, Dominika Toman, Radoslav Jankal, Patrik Boršoš
This literary review examines the current state of research in the field of e-recruitment within the framework of smart government and its implementation in the context of modern public services. We elucidate the concepts of “smart government” as a concept of efficient, technologically supported public administration, and “electronic recruitment” as a process utilizing digital tools in the search and
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Overcoming Uncertainty in Novel Technologies: The Role of Venture Capital Syndication Networks in Artificial Intelligence (AI) Startup Investments in Korea and Japan Systems (IF 2.895) Pub Date : 2024-02-24 Eun-jung Hyun, Brian Tae-Seok Kim
This paper investigates how historical inter-firm syndication networks influence venture capitalists’ (VCs) propensity to invest in startups pursuing novel, uncertain technologies, with a focus on artificial intelligence (AI). We theorize that VCs’ positional attributes within cumulative syndication networks determine their access to external expertise and intelligence that aid AI investment decisions
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A Three-Stage Stochastic Model to Improve Resilience with Lateral Transshipment in Multi-Period Emergency Logistics Systems (IF 2.895) Pub Date : 2024-02-25 Zhu Wang, Shenglei Hao, Leqi Yuan, Ke Hao
Driven by the growing threat of natural disasters caused by climate change, there is an urgent need to strengthen the emergency rescue logistics network. However, insufficient research has been conducted on optimizing both pre-disaster preparation and post-disaster response, resulting in lower resilience and inefficiency of emergency logistics management. To this end, this study explores the optimization
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Towards a New Conceptual Model of AI-Enhanced Learning for College Students: The Roles of Artificial Intelligence Capabilities, General Self-Efficacy, Learning Motivation, and Critical Thinking Awareness Systems (IF 2.895) Pub Date : 2024-02-25 Xi-Hui Jia, Jui-Che Tu
In the aftermath of the COVID-19 pandemic, college students have faced various challenges that could negatively impact their critical thinking abilities due to disruptions to education, increased stress and anxiety, less social interaction, and the advancement of distance learning relying more heavily on digital tools. With the increasing integration of AI technology across sectors, higher education
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Exploring the Factors Influencing Continuance Intention to Use AI Drawing Tools: Insights from Designers Systems (IF 2.895) Pub Date : 2024-02-22 Pujunqian Fan, Qianling Jiang
With the continuous evolution of artificial intelligence technology, AI drawing tools have emerged as highly esteemed instruments in the modern design industry. These tools, owing to their exceptional performance and innovative features, offer creators an unprecedented artistic experience. However, the factors influencing designers’ continuance intention to use AI drawing tools remain ambiguous. This
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Integrated System Design for Post-Disaster Management: Multi-Facility, Multi-Period, and Bi-Objective Optimization Approach Systems (IF 2.895) Pub Date : 2024-02-22 Byung Duk Song, Sungbum Jun, Seokcheon Lee
Disaster management requires efficient allocation of essential facilities with consideration of various objectives. During the response and recovery phase of disaster management (RRDM), various types of missions occur in multiple periods, and each of them needs different support from facilities. In this study, a bi-objective mathematical model was derived to support multi-period RRDM by optimal allocation
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A Literature Review of the Digital Thread: Definition, Key Technologies, and Applications Systems (IF 2.895) Pub Date : 2024-02-23 Qiang Zhang, Jihong Liu, Xu Chen
The digital thread, as a crucial technology for industrial digitization and the realization of smart manufacturing, has garnered extensive attention and research in recent years. Furthermore, there is a growing interest in the key technologies supporting the implementation of the digital thread. Given the diversity of product lifecycle models, various definitions, reference architectures, and implementation
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Design and Implementation of Workshop Virtual Simulation Experiment Platform Based on Digital Twin Systems (IF 2.895) Pub Date : 2024-02-20 Jihong Yan, Xiang Li, Siyang Ji
In an era where countries worldwide are emphasizing the process of educational informatization, traditional experimental teaching methods encounter inherent limitations, such as constraints related to the availability of experimental sites and the amount of experimental equipment. Consequently, it becomes a challenge to provide students with an unconstrained, open, and collaborative experimental environment
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Game Models for Ordering and Channel Decisions of New and Differentiated Remanufactured Products in a Closed-Loop Supply Chain with Sales Efforts Systems (IF 2.895) Pub Date : 2024-02-20 Niu Gao, Linchi Qu, Yuantao Jiang, Jian Hou
Environmental responsibility and economic benefits have promoted the development of closed-loop supply chains (CLSCs), and shortages and channels are considered to be two important issues in a CLSC. This paper explores the ordering and channel decisions in a CLSC with new and differentiated remanufactured products; considers the price and sales-effort-dependent demands, as well as the proportion of
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Manufacturer Encroachment Strategic Analysis with Platform Service Inputs: An Agent-Based Scenario Systems (IF 2.895) Pub Date : 2024-02-19 Guihua Lin, Jiayu Zhang, Qi Zhang
This paper considers the agency selling channel in a supply chain under platform service investment. We construct Stackelberg game models to study the impact of the manufacturer’s encroachment strategy on supply chain members. Research results indicate that the encroachment strategy always has a positive impact at the levels of the manufacturer and platform service, which should dynamically change
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Determinants of Ecological Footprint: A Quantile Regression Approach Systems (IF 2.895) Pub Date : 2024-02-11 Kübra Akyol Özcan
Through the examination of the ecological consequences of human actions, policymakers are able to distinguish certain areas in which resource use can be increased and the generation of waste diminished. This study examines the effects of foreign direct investment, gross domestic product, industrialization, renewable energy consumption, and urban population on the ecological footprints in 131 countries
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Redesigning the Drugs Distribution Network: The Case of the Italian National Healthcare Service Systems (IF 2.895) Pub Date : 2024-02-09 Federica Asperti, Emanuela Foglia, Giovanni Pirovano, Rossella Pozzi, Tommaso Rossi, Maurizia Punginelli, Fabrizio Schettini
Drug distribution performed through hospital pharmacies facilitates public expenditure savings but incurs higher social costs for patients and caregivers. The widespread presence of community pharmacies could support patient access while also improving drug distribution. The implementation of prescriptive data analyses as constrained optimization to achieve specific objectives, could be also applied
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Advancements in AI-Based Information Technologies: Solutions for Quality and Security Systems (IF 2.895) Pub Date : 2024-02-09 Tetiana Hovorushchenko, Ivan Izonin, Hakan Kutucu
At the current stage of development and implementation of information technology in various areas of human activity, decisive changes are taking place, as there are powerful technical resources for the accumulation and processing of large amounts of information [...]
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Dynamical Systems Research (DSR) in Psychotherapy: A Comprehensive Review of Empirical Results and Their Clinical Implications Systems (IF 2.895) Pub Date : 2024-02-05 Giulio de Felice
In psychotherapy research, the first applications of dynamical systems research (DSR) date back to the 1990s. Over time, DSR has developed three main lines of research: the study of oscillations in synchronization; the study of oscillations between stability and flexibility of process variables (S–F oscillations); the mathematical modeling to analyze the evolution of psychotherapy process. However
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Intergenerational Leadership: A Leadership Style Proposal for Managing Diversity and New Technologies Systems (IF 2.895) Pub Date : 2024-02-03 Virginia Ramírez-Herrero, Marta Ortiz-de-Urbina-Criado, José-Amelio Medina-Merodio
Artificial intelligence, augmented, virtual, and mixed reality applications are improving business tools to increase their efficiency and ability to innovate. Technological innovation offers creative opportunities, but each generation values these advances differently. This study analysed the intergenerational differences and their leadership styles. The research questions are as follows: what are
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System Identification of Enterprise Innovation Factor Combinations—A Fuzzy-Set Qualitative Comparative Analysis Method Systems (IF 2.895) Pub Date : 2024-02-04 Zixin Dou, Yanming Sun
High-tech manufacturing enterprises, as innovative entities, are a key focus of national attention. Currently, such enterprises are facing both internal governance pressure and external institutional pressure. Unlike traditional studies that mostly use regression equations, this article uses the fuzzy-set qualitative comparative analysis method to examine how high-tech manufacturing enterprises can
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Surveying Quality Management Methodologies in Wooden Furniture Production Systems (IF 2.895) Pub Date : 2024-02-03 Ewa Skorupińska, Miloš Hitka, Maciej Sydor
Furniture production is a specific industrial sector with a high human labor demand, a wide range of materials processed, and short production runs caused by high customization of end products. The difficulty of measuring the aesthetic requirements of customers is also specific to furniture. This review of academic papers identifies and explains effective quality management strategies in furniture
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Facing Challenges of Implementing Total Productive Management and Lean Tools in Manufacturing Enterprises Systems (IF 2.895) Pub Date : 2024-02-03 Tomislav Slavina, Nedeljko Štefanić
Manufacturing companies are always looking for ways to outperform their competitors. They are constantly trying to improve their efficiency and reduce costs. One method that improves efficiency and maximises the availability of production equipment is total productive maintenance (TPM), which is a lean optimisation philosophy tool that focuses on the optimisation of maintenance. Although TPM is known
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Risk Analysis of Artificial Intelligence in Medicine with a Multilayer Concept of System Order Systems (IF 2.895) Pub Date : 2024-02-01 Negin Moghadasi, Rupa S. Valdez, Misagh Piran, Negar Moghaddasi, Igor Linkov, Thomas L. Polmateer, Davis C. Loose, James H. Lambert
Artificial intelligence (AI) is advancing across technology domains including healthcare, commerce, the economy, the environment, cybersecurity, transportation, etc. AI will transform healthcare systems, bringing profound changes to diagnosis, treatment, patient care, data, medicines, devices, etc. However, AI in healthcare introduces entirely new categories of risk for assessment, management, and
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AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0 Systems (IF 2.895) Pub Date : 2024-02-02 Enrico Alberti, Sergio Alvarez-Napagao, Victor Anaya, Marta Barroso, Cristian Barrué, Christian Beecks, Letizia Bergamasco, Sisay Adugna Chala, Victor Gimenez-Abalos, Alexander Graß, Daniel Hinjos, Maike Holtkemper, Natalia Jakubiak, Alexandros Nizamis, Edoardo Pristeri, Miquel Sànchez-Marrè, Georg Schlake, Jona Scholz, Gabriele Scivoletto, Stefan Walter
The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0 is a new phase of industrialization that places the worker at the center of the production process and uses new technologies to increase prosperity beyond jobs and growth. HCAI presents new objectives that were unreachable by either humans or machines alone, but this also comes with a new set of challenges. Our
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Defining Complex Adaptive Systems: An Algorithmic Approach Systems (IF 2.895) Pub Date : 2024-01-30 Muhammad Ayyaz Ahmad, George Baryannis, Richard Hill
Despite a profusion of literature on complex adaptive system (CAS) definitions, it is still challenging to definitely answer whether a given system is or is not a CAS. The challenge generally lies in deciding where the boundaries lie between a complex system (CS) and a CAS. In this work, we propose a novel definition for CASs in the form of a concise, robust, and scientific algorithmic framework. The
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Influencing Factor Identification and Simulation for Urban Metro System Operation Processes—A Resilience Enhancement Perspective Systems (IF 2.895) Pub Date : 2024-01-29 Kang Li, Xiaer Xiahou, Zhou Wu, Peng Shi, Lingyi Tang, Qiming Li
When confronted with rainstorms and flood disturbances, the operational processes of urban metro systems demonstrate vulnerabilities to attacks, inadequate resistance, and sluggish recovery characteristics. The flood resilience of UMS operational processes requires urgent enhancements. This paper aims to enhance the flood resilience of urban metro operation processes by proposing a three-stage PEL
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Complex Real-Time Monitoring and Decision-Making Assistance System Based on Hybrid Forecasting Module and Social Network Analysis Systems (IF 2.895) Pub Date : 2024-01-24 Henghao Fan, Hongmin Li, Xiaoyang Gu, Zhongqiu Ren
Timely short-term spatial air quality forecasting is essential for monitoring and prevention in urban agglomerations, providing a new perspective on joint air pollution prevention. However, a single model on air pollution forecasting or spatial correlation analysis is insufficient to meet the strong demand. Thus, this paper proposed a complex real-time monitoring and decision-making assistance system
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Unrelated Parallel Machine Scheduling Problem Considering Job Splitting, Inventories, Shortage, and Resource: A Meta-Heuristic Approach Systems (IF 2.895) Pub Date : 2024-01-24 Mohammad Arani, Mohsen Momenitabar, Tazrin Jahan Priyanka
This research aims to study a real-world example of the unrelated parallel machine scheduling problem (UPMSP), considering job-splitting, inventories, shortage, and resource constraints. Since the nature of the studied optimization problem is NP-hard, we applied a metaheuristic algorithm named Grey Wolf Optimizer (GWO). The novelty of this study is fourfold. First, the model tackles the inventory problem
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Optimization of an Air Conditioning Pipes Production Line for the Automotive Industry—A Case Study Systems (IF 2.895) Pub Date : 2024-01-27 Ana Laroca, Maria Teresa Pereira, Francisco J. G. Silva, Marisa J. G. P. Oliveira
The following work aims to show how a combination of continuous improvement (CI) and Lean tools can reduce waste and process variability along an air-conditioned pipe production line (PL), calculate its capacity, and improve its efficiency to achieve the expected productivity. A variability study focused on the PL’s balancing was conducted to identify and reduce possible bottlenecks, as well as to
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A Deep-Reinforcement-Learning-Based Digital Twin for Manufacturing Process Optimization Systems (IF 2.895) Pub Date : 2024-01-24 Abdelmoula Khdoudi, Tawfik Masrour, Ibtissam El Hassani, Choumicha El Mazgualdi
In the context of Industry 4.0 and smart manufacturing, production factories are increasingly focusing on process optimization, high product customization, quality improvement, cost reduction, and energy saving by implementing a new type of digital solutions that are mainly driven by Internet of Things (IoT), artificial intelligence, big data, and cloud computing. By the adoption of the cyber–physical
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Towards ‘Vision-Zero’ in Road Traffic Fatalities: The Need for Reasonable Degrees of Automation to Complement Human Efforts in Driving Operation Systems (IF 2.895) Pub Date : 2024-01-25 Adekunle Mofolasayo
Human factors play a huge role in road traffic safety. Research has found that a huge proportion of traffic crashes occur due to some form of human error. Improving road user behavior has been the major strategy that has been emphasized for improving road traffic safety. Meanwhile, despite the training efforts, and testing for drivers, the global status of road traffic safety is alarming. This research
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Research on the Product Positioning Strategy of the Independent Seller under Platform Encroachment Systems (IF 2.895) Pub Date : 2024-01-22 Ziyan Wang, Tianjian Yang
The platform owner promotes the transaction between independent sellers and consumers, while entering the marketplace of independent sellers to compete with them for consumers. Faced with the threat of platform encroachment, independent sellers establish their own competitive advantages through ex ante category quality selection and ex post product differentiation. This study discusses how independent
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Pricing Decisions in Construction and Demolition Waste Recycling Supply Chains under Carbon Tax Scenarios Systems (IF 2.895) Pub Date : 2024-01-21 Hao Zhang, Weihong Chen, Jie Peng, Yuhan Wang, Lianghui Zeng, Peiao Gao, Xiaowen Zhu, Xingwei Li
Pricing decisions for construction and demolition waste recycling are severely hampered by consumer uncertainty in assessing the value of recycled building materials. This paper uses a construction and demolition waste (CDW) recycling utilization model that consists of a building materials manufacturer and a building materials remanufacturer and compares both the prices and the profits under different
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Research on Supply Chain Coordination Decision Making under the Influence of Lead Time Based on System Dynamics Systems (IF 2.895) Pub Date : 2024-01-18 Mingli Zhang, Yanan Wang, Yijie Zhang
Supply chain coordination has been a research hot spot in supply chain management. This paper constructs a secondary supply chain system. Taking the abatement of the bullwhip effect and the double marginal effect as the coordination objective, a simulation study of supply chain decision coordination was conducted using system dynamics. First, by controlling the lead time, it was found that in the decentralized
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Why Do Key Decision-Makers Fail to Foresee Extreme ‘Black Swan’ Events? A Case Study of the Pike River Mine Disaster, New Zealand Systems (IF 2.895) Pub Date : 2024-01-19 Richard John Logan, Robert Y. Cavana, Bronwyn E. Howell, Ian Yeoman
This research addresses the strategic issue of why key decision-makers fail to foresee potential extreme ‘black swan’ events. Following a review of the literature, a conceptual framework is developed that identifies two types of organisational blindness that are reflected in Tetlock’s hedgehog cognitive thinking style, being the oversimplification of uncertainty (e.g., inductive biases) and an unquestioned
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Complex Network-Based Resilience Capability Assessment for a Combat System of Systems Systems (IF 2.895) Pub Date : 2024-01-18 Wenyu Chen, Weimin Li, Tao Zhang
With the increasing complexity and frequency of interactions among a large number of heterogeneous nodes within a combat system of systems (SoS), evaluating the capability of the SoS to withstand external attacks and interferences has become an increasingly challenging and urgent issue. However, the complexity of a combat SoS often brings about difficulties in quantitative analysis. This paper proposes
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Is It Better for a Publisher to Release an Audiobook after Its E-Book Version? Systems (IF 2.895) Pub Date : 2024-01-18 Linlan Zhang
The e-books industry is mature, and audiobooks are becoming increasingly popular. More and more publishers are coming to realize that audiobooks could be a potential revenue driver and intend to release audiobooks. Considering that there is a certain substitutability between e-books and audiobooks, publishers need to decide how to release a book in its audible version and its e-book version into the
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Universal Complexity Science and Theory of Everything: Challenges and Prospects Systems (IF 2.895) Pub Date : 2024-01-15 Srdjan Kesić
This article argues that complexity scientists have been searching for a universal complexity in the form of a “theory of everything” since some important theoretical breakthroughs such as Bertalanffy’s general systems theory, Wiener’s cybernetics, chaos theory, synergetics, self-organization, self-organized criticality and complex adaptive systems, which brought the study of complex systems into mainstream
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A UTAUT-Based Framework for Analyzing Users’ Intention to Adopt Artificial Intelligence in Human Resource Recruitment: A Case Study of Thailand Systems (IF 2.895) Pub Date : 2024-01-15 Tanatorn Tanantong, Piriyapong Wongras
Recruitment is a fundamental aspect of Human Resource Management to drive organizational performance. Traditional recruitment processes, with manual stages, are time-consuming and inefficient. Artificial Intelligence (AI), which demonstrates its potential in various sectors such as healthcare, education, and notable cases of ChatGPT, is currently reshaping recruitment by automating tasks to improve
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A Three-Pronged Verification Approach to Higher-Level Verification Using Graph Data Structures Systems (IF 2.895) Pub Date : 2024-01-14 Daniel Dunbar, Thomas Hagedorn, Mark Blackburn, Dinesh Verma
Individual model verification is a common practice that increases the quality of design on the left side of the Vee model, often before costly builds and prototypes are implemented. However, verification that spans multiple models at higher levels of abstraction (e.g., subsystem, system, mission) is a complicated endeavor due to the federated nature of the data. This paper presents a tool-agnostic
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The Role of Virtual Reality Simulation in Manufacturing in Industry 4.0 Systems (IF 2.895) Pub Date : 2024-01-12 Ikpe Justice Akpan, Onyebuchi Felix Offodile
From the first to the fourth industrial revolutions (4IR) or Industry 4.0 (i4.0), the manufacturing sector has always been at the forefront of innovation and digital technology adoption. However, 4IR or i4.0 comes with diverse and integrated technologies that tend to sweep off all the old orders. This study undertakes a science mapping of research on the role of virtual reality simulation (VRSIM) in
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Enhancing Quality Control in Battery Component Manufacturing: Deep Learning-Based Approaches for Defect Detection on Microfasteners Systems (IF 2.895) Pub Date : 2024-01-11 Thi-Thu-Huyen Vu, Tai-Woo Chang, Haejoong Kim
The management of product quality is a crucial process in factory manufacturing. However, this approach still has some limitations, e.g., depending on the expertise of the engineer in evaluating products and being time consuming. Various approaches using deep learning in automatic defect detection and classification during production have been introduced to overcome these limitations. In this paper
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A Study of the Impact of Executive Corruption on Corporate Innovation Systems (IF 2.895) Pub Date : 2024-01-11 Ming Bai, Yanru Chen, Ye Hong, Zhongqi Yang
Both executive corruption and corporate innovation are important factors affecting corporate development. This paper explores the impact of executive corruption on corporate innovation and examines the mechanism of their effects from the perspective of financing constraints. It is found that executive corruption significantly inhibits corporate innovation in general. In addition, financing constraints
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Systemic Modeling and Prediction of Port Container Throughput Using Hybrid Link Analysis in Complex Networks Systems (IF 2.895) Pub Date : 2024-01-10 Xiaozhen Liang, Yingying Wang, Mingge Yang
This paper introduces a hybrid framework for port container throughput forecasting, which is essential in global trade and transportation systems. It uses a multidisciplinary method that combines artificial intelligence, link prediction, and complex networks. To better grasp the interconnection and dynamics of port operations, time series data are first transformed using complex network theory into