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Navigating Gender Nuances: Assessing the Impact of AI on Employee Engagement in Slovenian Entrepreneurship Systems (IF 2.895) Pub Date : 2024-04-24 Maja Rožman, Polona Tominc
Background: Our research delved into exploring various selected facets of AI-driven employee engagement, from the gender perspective, among Slovenian entrepreneurs. Methods: This research is based on a random sample of 326 large enterprises and SMEs in Slovenia, with an entrepreneur completing a questionnaire in each enterprise. Results: Findings suggest that there are no significant differences between
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Managerial Decision-Making Methodology to Support Innovation Activities: Evidence from Slovak Enterprises Systems (IF 2.895) Pub Date : 2024-04-24 Martin Holubčík, Jakub Soviar, Viliam Lendel, Juraj Čerňanský
The creation of innovations in enterprises is a topic that has a firm place in the scientific literature, and the authors describe several procedures and theories of the functioning of the innovation process in enterprises. One part of the innovation process is decision-making. In the article, attention is paid to the results of research on the decision-making process as an important and integral part
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Evaluating the UN Global Compact Communication on Progress as a CSR Benchmarking Tool Systems (IF 2.895) Pub Date : 2024-04-24 Lucas Ribeiro, Manuel Castelo Branco, Cristina Chaves
Corporate social responsibility (CSR) extends beyond mere profit-seeking to encompass the ethical behavior of a company toward society, mitigating negative and generating positive impacts on the environment, consumers, employees, communities, and all stakeholders. The UN Global Compact (UNGC) is the world’s largest voluntary CSR initiative, and its Communication on Progress (CoP) requirement is a key
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Enhancing Logistics Performance through Increased Trust and Collaboration in Supply Chain Risk Management: A Focus on the Distribution Network of Manufacturing Companies Systems (IF 2.895) Pub Date : 2024-04-22 Soohyo Kim, Choyeon Kim
This study aims to explore the significance of trust among companies within the supply chain and investigate its effect on collaborative supply chain risk management. In the current uncertain business environment, it is crucial for companies to establish trust relationships with their trading partners and collaboratively manage risks. This research seeks to understand how such trust relationships influence
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Applying Integrative Systems Methodology: The Case of Health Care Organizations Systems (IF 2.895) Pub Date : 2024-04-22 Markus Schwaninger, Johann Klocker
Systems thinking has a lot to offer to the field of strategizing. Calls for a greater use of the Systems Approaches to management are increasingly being advanced in the world of organizations, public and private. Yet, practical implementation of such postulates is lagging. This article aims to demonstrate the potential of systems thinking in shaping strategy in management and organization. It builds
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Transitioning to Agile Organizational Structures: A Contingency Theory Approach in the Financial Sector Systems (IF 2.895) Pub Date : 2024-04-22 Darley Biviana Pacheco-Cubillos, Josefa Boria-Reverter, Jaime Gil-Lafuente
The primary objective of this investigation is to explore the key factors within a large corporation that facilitate the transition from a conventional hierarchical organizational structure to a more agile one. Although there are studies in the literature on the different agile organizational structures, there are no clear guidelines for a large company to transform to an agile framework. This study
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The Non-Linear Impact of Digitalization on the Performance of SMEs: A Hypothesis Test Based on the Digitalization Paradox Systems (IF 2.895) Pub Date : 2024-04-20 Xinqiang Chen, Xiu-e Zhang, Zhiwen Cai, Jiangjie Chen
While digitalization offers new opportunities for small- and medium-sized enterprises (SMEs), it also introduces the phenomenon of the “digitalization paradox”. This paper develops a theoretical model comprising digitalization, digital technology–business alignment, external social capital, and SMEs’ performance, rooted in strategic alignment theory (SAT) and social capital theory (SCT). The necessary
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Research on Dynamic Scheduling and Route Optimization Strategy of Flex-Route Transit Considering Travel Choice Preference of Passenger Systems (IF 2.895) Pub Date : 2024-04-19 Jin Zhang, Rongrong Guo, Wenquan Li
In this paper, to improve the operational service capability and attractiveness of the flex-route transit system, the real dynamic interaction scenario between passenger travel choice preference and system operation scheme in the post-pandemic era is described and quantified. The key technologies, operation mode, system framework, and interactive events required for dynamic interactive scheduling and
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Systems Thinking for Supply Chains: Identifying Bottlenecks Using Process Mapping of a Child Health Intervention in the Democratic Republic of the Congo (DRC) Systems (IF 2.895) Pub Date : 2024-04-18 Aliya Karim, Christian Burri, Jean Serge Ngaima Kila, Nelson Bambwelo, Jean Tony Bakukulu, Don de Savigny
The quality of supply chains in public health interventions in low- and middle-income countries can determine how effectively a program is able to treat its intended population group and subsequently achieve its health targets. We aimed to disentangle where challenges exist hierarchically and administratively through the application of process mapping to the supply chain of an integrated community
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Bootstrap Method of Eco-Efficiency in the Brazilian Agricultural Industry Systems (IF 2.895) Pub Date : 2024-04-17 André Luiz Marques Serrano, Gabriela Mayumi Saiki, Carlos Rosano-Penã, Gabriel Arquelau Pimenta Rodrigues, Robson de Oliveira Albuquerque, Luis Javier García Villalba
With the economic growth of the Brazilian agroindustry, it is necessary to evaluate the efficiency of this activity in relation to environmental demands for the country’s economic, social, and sustainable development. Within this perspective, the present research aims to examine the eco-efficiency of agricultural production in Brazilian regions, covering 5563 municipalities in the north, northeast
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An Analysis of the Impact of Government Subsidies on Emission Reduction Technology Investment Strategies in Low-Carbon Port Operations Systems (IF 2.895) Pub Date : 2024-04-16 Minjie Li, Jianlin Luan, Xiaodong Li, Peng Jia
The sustainable development of the maritime supply chain is an undeniable trend. Low-carbon port operations are a vital component of creating an eco-friendly maritime supply chain, requiring substantial investments in technologies that reduce carbon emissions. However, the key factors influencing investment decisions by ports and shipping companies in these green technologies, particularly government
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Slovenian Higher Education in a Post-Pandemic World: Trends and Transformations Systems (IF 2.895) Pub Date : 2024-04-15 Fayyaz Qureshi, Sarwar Khawaja, Mirjana Pejić Bach, Maja Meško
The COVID-19 pandemic has changed many aspects of work and daily life, with higher education being greatly affected, especially in remote teaching, work, and digital collaboration. Most of these changes are retained in the post-COVID-19 era, e.g., remote work has enabled greater access to educational opportunities and contributed to a more inclusive and diverse workforce. To investigate to what extent
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Resource Scheduling Optimisation Study Considering Both Supply and Demand Sides of Services under Cloud Manufacturing Systems (IF 2.895) Pub Date : 2024-04-15 Qinglei Zhang, Ning Li, Jianguo Duan, Jiyun Qin, Ying Zhou
In cloud manufacturing environments, the scheduling of multi-user manufacturing tasks often fails to consider the impact of service supply on resource allocation. This study addresses this gap by proposing a bi-objective multi-user multi-task scheduling model aimed at simultaneously minimising workload and maximising customer satisfaction. To accurately capture customer satisfaction, a novel comprehensive
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Emergence in Complex Physiological Processes: The Case of Vitamin B12 Functions in Erythropoiesis Systems (IF 2.895) Pub Date : 2024-04-11 Francesca Bellazzi, Marta Bertolaso
In this paper, we will explore the relation between molecular structure and functions displayed by biochemical molecules in complex physiological processes by using tools from the philosophy of science and the philosophy of scientific practice. We will argue that biochemical functions are weakly emergent from molecular structure by using an account of weak. In order to explore this thesis, we will
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A Meta-Analysis of Innovation Management in Scientific Research: Unveiling the Frontier Systems (IF 2.895) Pub Date : 2024-04-09 Denis Juracka, Marek Nagy, Katarina Valaskova, Elvira Nica
Innovation is a critical element in numerous domains, especially when it comes to determining the course of business success via efficient innovation management systems. The objective of this study is to determine which innovation category has the greatest impact on the effectiveness of innovation management by analyzing the correlation of innovation and its associated activities on the innovation
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System Approach to the Process of Institutional Transformation for Industrial Integrations in the Digital Era Systems (IF 2.895) Pub Date : 2024-04-06 Tatyana Tolstykh, Nadezhda Shmeleva, Alexey Boev, Tatiana Guseva, Svetlana Panova
The digitalization of the high-tech economy is complicated due to several issues. One can mention non-synchrony and imbalance in the development of industrial enterprises and their integrations; changes in the elements and relations between enterprises and the external environment; as well as contradictions between the actors. Therefore, a new institutional system for industrial integrations needs
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Concern or Opportunity: Implementation of the TBL Criterion in the Healthcare System Systems (IF 2.895) Pub Date : 2024-04-07 Stefan Milojević, Marko Slavković, Snežana Knežević, Nebojša Zdravković, Vladislava Stojić, Miljan Adamović, Vuk Mirčetić
This study systematically investigated the extent and application of sustainability practices in the healthcare system by thoroughly examining existing research conducted on healthcare-related issues within the framework of sustainability. The review primarily focuses on three key conceptual aspects: the social, economic, and ecological dimensions of sustainability. PLS-SEM (partial least squares structural
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Dynamic Mechanism of Destination Brand Diffusion: Agent-Based Modeling and Simulation Systems (IF 2.895) Pub Date : 2024-04-07 Lihui Deng, Jin Tan, Danyang He, Hong Zhao, Zongshui Wang
In recent years, social media has emerged as an important channel for the dissemination of destination branding. Despite the fact that the dissemination of information through social media enables a broader audience to become acquainted with destinations, the dissemination process of trending events exhibits variances. Consequently, the precise impact of the underlying mechanisms that govern the spread
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Roadblocks in Integrating Lean Six Sigma and Industry 4.0 in Small and Medium Enterprises Systems (IF 2.895) Pub Date : 2024-04-07 Naif Alsaadi
To survive in highly competitive markets, industries focus on enhancing product quality and customer satisfaction. One specific iteration of this approach sees industries striving to optimize processes to improve product quality while generating minimum waste. This has encouraged companies to begin adopting management practices such as lean six sigma (LSS) and kaizen alongside their implementation
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Parameterization and Performance Analysis of a Scalable, near Real-Time Packet Capturing Platform Systems (IF 2.895) Pub Date : 2024-04-07 Rafael Oliveira, Tiago Pedrosa, José Rufino, Rui Pedro Lopes
The rapid evolution of technology has fostered an exponential rise in the number of individuals and devices interconnected via the Internet. This interconnectedness has prompted companies to expand their computing and communication infrastructures significantly to accommodate the escalating demands. However, this proliferation of connectivity has also opened new avenues for cyber threats, emphasizing
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The Impact of Platform Information Sharing on Manufacturer’s Choice of Online Distribution Mode and Green Investment Systems (IF 2.895) Pub Date : 2024-04-07 Leilei Jiao, Fumin Deng
In this study, we consider a dual-channel supply chain structure where a manufacturer invests in green products and distributes them to green-conscious consumers through an offline retailer and an online platform. The manufacturer has the flexibility to choose sales via either a wholesale mode or an agency selling mode on the online platform channel. The platform can obtain private information and
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Risk Assessment and Countermeasures of Logistics Terminal Distribution under Public Health Emergencies Systems (IF 2.895) Pub Date : 2024-04-07 Hualing Bi, Ran Zheng, Fuqiang Lu
In recent years, the frequent occurrence of public health emergencies has affected people’s daily lives. In response, this paper evaluates the risk of logistics terminal distribution and puts forward the corresponding countermeasures. Firstly, this paper summarizes relevant literature and analyzes the characteristics of public health emergencies and logistics terminal distribution. This paper constructs
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Strategic Adoption of Digital Innovations Leading to Digital Transformation: A Literature Review and Discussion Systems (IF 2.895) Pub Date : 2024-04-02 Joseph M. Campagna, Shamsnaz V. Bhada
Digital transformation efforts as part of the Fourth Industrial Revolution promise to revolutionize engineering practices. However, given the multitude of technological choices and the diversity of potential investment decisions, many engineering entities are slow and haphazard in their adoption of digital innovations and fail to meet the expectations set for digital engineering and digital transformation
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Pricing Models for Crowdsourced Logistics Platforms: A Two-Sided Market Perspective Systems (IF 2.895) Pub Date : 2024-04-03 Xingshuo Song, Shiyong Li, Hengli Liu, Guoping Zhao
The application of the crowdsourcing model to instant delivery has achieved remarkable success. Various crowdsourced logistics platforms have successfully addressed the challenges of last-mile delivery in urban areas by eliciting the active involvement of the public. This study takes a dual-market perspective and, considering the high requirements of instant delivery for timeliness, introduces two
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Resilient Network Design: Disjoint Shortest Path Problem for Power Transmission Application Systems (IF 2.895) Pub Date : 2024-03-31 Amit Jha, Haotian Song, Yuriy Zinchenko
Path redundancy is essential for safety and reliability in many real-world routing problems, such as the design of networks for power transmission, transportation, etc. These problems are typically posed to find the shortest path on a weighted graph. For the shortest path with path redundancy, particularly in the Disjoint Shortest 2-Path (DS2P) problem, two disjoint paths are desired such that the
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Efforts to Innovate Favouring the Absorption of Foreign Direct Investment So as to Achieve Beneficial Outcomes from Innovation Systems (IF 2.895) Pub Date : 2024-03-30 Pedro Sánchez-Sellero, Mohammad Jamal Bataineh
This piece of work provides new findings about the effects of interactions between efforts to innovate and foreign direct investment on the results of innovation in Spanish firms. Examples of beneficial outcomes would be patents, as well as new products and processes. In addition, consideration will be given to the innovation activities that can favour from foreign direct investment in such a way as
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Interdisciplinary Dynamics in COVID-19 Research: Examining the Role of Computer Science and Collaboration Patterns Systems (IF 2.895) Pub Date : 2024-03-28 Yunfan Li, Shiyong Liu, An Zeng, Jun Wu, Jiayu Zhang, Weiwei Zhang, Sheng Li
In academia, it is rare for an event or issue to foster the extensive participation of multiple disciplines. Research related to COVID-19 has undeniably yielded a wealth of valuable insights and impetus for the progress of interdisciplinary research, encompassing concepts, methodologies, intellectual approaches, theories, frameworks, data integration and analysis, and pertinent considerations. In the
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Optimal Timing Strategies in the Evolutionary Dynamics of Competitive Supply Chains Systems (IF 2.895) Pub Date : 2024-03-28 Yongjae Kim
This study investigates the dynamics of endogenous order placement timing among competing retailers within a single period, driven by the evolution of demand-forecast information. Despite the critical role of accurate market trends and demand forecasts in determining firm success during selling seasons, the existing literature lacks a comprehensive understanding of how firms strategically adjust their
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Fostering the “Performativity” of Performance Information Use by Decision-Makers through Dynamic Performance Management: Evidence from Action Research in a Local Area Systems (IF 2.895) Pub Date : 2024-03-28 Vincenzo Vignieri, Noemi Grippi
A local area configures a socio-economic system in which several institutions interact. As stakeholders hold different values and perhaps conflicting interests, managing local area performance is a dynamic and complex issue. In these inter-institutional settings, performance management may help address such complexity. Traditional performance management approaches, mostly based on static and linear
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Forecasting Research on Urban Green Development Based on System Dynamics—A Case Study of Hefei in China Systems (IF 2.895) Pub Date : 2024-03-25 Yanling Feng, Boqiang Liu, Qiang Yan, Guozhu Jia
Urban green development is a way of economic growth and social development aiming at efficiency, harmony and sustainability, and in recent years urban green development has become an important trend for future urban development. In this study, Hefei City is selected as the study area, and a comprehensive green-development model is constructed by applying the system dynamics method, which integrates
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Chemical Organization Theory as a General Modeling Framework for Self-Sustaining Systems Systems (IF 2.895) Pub Date : 2024-03-27 Francis Heylighen, Shima Beigi, Tomas Veloz
This paper summarizes and reviews Chemical Organization Theory (COT), a formalism for the analysis of complex, self-organizing systems across multiple disciplines. Its elements are resources and reactions. A reaction maps a set of resources onto another set, thus representing an elementary process that transforms resources into new resources. Reaction networks self-organize into invariant subnetworks
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Integration of Efficient Techniques Based on Endpoints in Solution Method for Lifelong Multiagent Pickup and Delivery Problem † Systems (IF 2.895) Pub Date : 2024-03-27 Toshihiro Matsui
We investigate the integration of several additional efficient techniques that improve a solution method for the lifelong multiagent pickup-and-delivery (MAPD) problem to reduce the redundancy in the concurrent task execution and space usage of a warehouse map. The lifelong MAPD problem is an extended class of iterative multiagent pathfinding problems where a set of shortest collision-free travel paths
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The Carbon Emission Reduction Effect and Spatio-Temporal Heterogeneity of the Science and Technology Finance Network: The Combined Perspective of Complex Network Analysis and Econometric Models Systems (IF 2.895) Pub Date : 2024-03-26 Juan Liang, Rui Ding, Xinsong Ma, Lina Peng, Kexin Wang, Wenqian Xiao
With the active promotion of the “carbon peaking and carbon neutrality” goals, science and technology finance (STF) is the important driving force of low-carbon development, and financial networks facilitate the aggregation and transformation of resources in space, so it is of great theoretical and practical significance to investigate the impact of science and technology finance networks (STFN) on
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Diagnosing Complex Organisations with Diverse Cultures—Part 2: Application to ASEAN Systems (IF 2.895) Pub Date : 2024-03-21 Tuomo Rautakivi, Maurice Yolles
In this paper, the second part of a two-part series, we explore the cultural stability of the Association of Southeast Asian Nations (ASEAN). The analytical framework adopted, formulated on a background of social cybernetics, uses Mindset Agency Theory (MAT) within a metacybernetic framework. Our exploration involves a thorough investigation of signs pointing to cultural instability, identification
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Modeling Dynamic Bargaining and Stability in a Star-Shaped Trans-Shipment Network Systems (IF 2.895) Pub Date : 2024-03-23 Shiyong Peng, Qingren He, Fei Xu, Wanhua Qiu
The star-shaped trans-shipment network causes the retailer’s bargaining power to be different, which leads to the misalignment of trans-shipment profit. Aimed at this, we take retailers and the trans-shipment paths as the nodes and edges of the trans-shipment network. Based on this, we model the multilateral negotiations between the central retailer and the local retailer and adopt the Generalized
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Setting the Public Sentiment: Examining the Relationship between Social Media and News Sentiments Systems (IF 2.895) Pub Date : 2024-03-19 Catherine U. Huh, Han Woo Park
This study investigates whether news sentiment plays a role in setting social media sentiment to explore the dynamics of sentiment develop and diffusion within the public agenda. Based on the agenda-setting theory, this study analyzed the public and media sentiments towards the 2016 US election and the candidates using data from Twitter, CNN, and Fox News. Focusing on the Twitter messages created by
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Reinforcement Learning-Based Multi-Objective Optimization for Generation Scheduling in Power Systems Systems (IF 2.895) Pub Date : 2024-03-19 Awol Seid Ebrie, Young Jin Kim
Multi-objective power scheduling (MOPS) aims to address the simultaneous minimization of economic costs and different types of environmental emissions during electricity generation. Recognizing it as an NP-hard problem, this article proposes a novel multi-agent deep reinforcement learning (MADRL)-based optimization algorithm. Within a custom multi-agent simulation environment, representing power-generating
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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