Next Issue
Volume 12, February
Previous Issue
Volume 11, December
 
 

Systems, Volume 12, Issue 1 (January 2024) – 36 articles

Cover Story (view full-size image): The paper proposes a novel methodological approach to the regionalisation of national-level indicators; while the regional scale is considered crucial for studying innovation in systems, the lack of important regional data at compounds the efforts to study them. The approach uses regressions to “regionalise” national-level indicators based on similar indicators that are available. This paper tests this approach on data for Greek NUTS 2 regions; however, the same approach can be used for any EU country. The estimation of missing regional-level data can be crucial for the formulation of impactful regional development policies. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Order results
Result details
Section
Select all
Export citation of selected articles as:
22 pages, 4003 KiB  
Article
Research on the Product Positioning Strategy of the Independent Seller under Platform Encroachment
by Ziyan Wang and Tianjian Yang
Systems 2024, 12(1), 36; https://doi.org/10.3390/systems12010036 - 22 Jan 2024
Viewed by 1760
Abstract
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 [...] Read more.
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 sellers should determine product positioning (including vertical and horizontal dimensions) in the face of platform category encroachment. We establish a game model and determine the best strategy. In addition, we develop a multi-agent model to reach conclusions for more complex market situations. We show that when the consumer’s platform preference is low, the independent seller is willing to locate in the high-end product market; otherwise, the independent seller is willing to locate in the low-end product market. In a competitive environment, when consumers’ ideal preferences are concentrated, the independent seller vertically positions in the low-end product market and horizontally positions close to the concentrated area of consumers’ ideal preferences. Similarly, the platform owner is more likely to encroach on the low-end product market. However, the independent seller positions in the high-end product market with greater horizontal differentiation, and the platform owner’s motivation to encroach is weakened. Full article
(This article belongs to the Special Issue Enablers and Capabilities for the Digital Supply Chain)
Show Figures

Figure 1

18 pages, 2876 KiB  
Article
Pricing Decisions in Construction and Demolition Waste Recycling Supply Chains under Carbon Tax Scenarios
by Hao Zhang, Weihong Chen, Jie Peng, Yuhan Wang, Lianghui Zeng, Peiao Gao, Xiaowen Zhu and Xingwei Li
Systems 2024, 12(1), 35; https://doi.org/10.3390/systems12010035 - 21 Jan 2024
Viewed by 1488
Abstract
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 [...] Read more.
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 carbon tax scenarios, i.e., consumer risk-averse and risk-neutral scenarios. The main conclusions are as follows. (1) The optimal price of traditional products is always negatively correlated with consumer risk aversion. Unlike traditional products, the optimal price of recycled building materials is negatively related to the degree of consumer risk aversion in the case of a low carbon tax; the opposite conclusion is obtained in the case of a high carbon tax. (2) When the abatement cost coefficient is below the threshold and the carbon tax is low, the profits of the building materials manufacturer and remanufacturer show a U-shaped trend with consumer risk aversion; in the case of a high carbon tax, the profits of the two enterprises are positively correlated with consumer risk aversion. In addition, when the abatement cost coefficient is above the threshold, there is an interval in which the profits of the building materials manufacturer are positively correlated with consumer risk aversion in the case in which the carbon tax satisfies this interval. In all the other cases, there is a U-shaped trend in profits and consumer risk aversion levels for both the building materials manufacturer and the remanufacturer. Full article
(This article belongs to the Section Supply Chain Management)
Show Figures

Figure 1

15 pages, 1785 KiB  
Article
Why Do Key Decision-Makers Fail to Foresee Extreme ‘Black Swan’ Events? A Case Study of the Pike River Mine Disaster, New Zealand
by Richard John Logan, Robert Y. Cavana, Bronwyn E. Howell and Ian Yeoman
Systems 2024, 12(1), 34; https://doi.org/10.3390/systems12010034 - 19 Jan 2024
Viewed by 1621
Abstract
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 [...] Read more.
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, top-down, reference narrative. This framework is tested using a case study approach and qualitative analysis of secondary data sources available from the Royal Commission of Inquiry and other published reports following the 2010 methane explosion at the Pike River Coal Ltd.’s mine (Pike) in New Zealand, that killed 29 miners and caused the loss of all funds invested. The results indicate that the combined effect of both blindnesses meant that Pike’s collective intelligence was limited, and for the three key decision-makers at the Pike River mine, some type of extreme ‘black swan’ event was apparently inevitable. This research provides theoretical and practical contributions to the analysis of business and public policy decision-making under uncertainty. Full article
(This article belongs to the Special Issue The Systems Thinking Approach to Strategic Management)
Show Figures

Figure 1

31 pages, 1052 KiB  
Article
Is It Better for a Publisher to Release an Audiobook after Its E-Book Version?
by Linlan Zhang
Systems 2024, 12(1), 33; https://doi.org/10.3390/systems12010033 - 18 Jan 2024
Cited by 1 | Viewed by 1383
Abstract
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, [...] Read more.
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 market. In this paper, we incorporate the discount factor and the consumers’ acceptance level for audiobooks into the consumer utility by dividing consumers into two types, high-value type and low-value type, and construct two different release models: releasing the audiobook and the e-book simultaneously and releasing the audiobook after the e-book. Using an optimization tool, we investigate pricing strategies of a monopolistic publisher under two different release models. By comparing the theoretical results of the two models, we find that when the consumers’ patience exceeds a certain threshold, releasing a book in its audible version after its e-book version is better for the publisher, and the publisher should adopt a skimming (refers to decreasing markups over time) pricing strategy for the e-book in this case. Further, the publisher should set a higher price for the audiobook than the e-book, whether or not they release the audiobook after the e-book. In addition, we conduct a numerical analysis to investigate how the discount factor, the percentage of high-value consumers, and the high-value consumers’ acceptance level for audiobooks affect the consumer surplus and the social welfare. This study offers publishers some managerial insights into the complex issues involving pricing and release strategies. Full article
(This article belongs to the Section Systems Practice in Social Science)
Show Figures

Figure 1

21 pages, 3469 KiB  
Article
Research on Supply Chain Coordination Decision Making under the Influence of Lead Time Based on System Dynamics
by Mingli Zhang, Yanan Wang and Yijie Zhang
Systems 2024, 12(1), 32; https://doi.org/10.3390/systems12010032 - 18 Jan 2024
Viewed by 1749
Abstract
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 [...] Read more.
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 decision-making model, the profit of the supplier and the whole supply chain increases with the shortening of the lead time, and vice versa for the retailer. In the centralized decision-making model with the addition of information sharing and contract, it was found that the retailer’s profit is consistent with the trend of the supplier and the supply chain as a whole, and the supplier’s profit is lower than that of decentralized decision making in the pre-cooperation period. In addition, it is also found that adjusting the contract parameters can effectively improve the situation. Finally, the above models were analyzed for supply chain coordination decisions based on two scenarios: “cooperative stability” or “balance of effects”. Full article
(This article belongs to the Special Issue Multi-criteria Decision Making in Supply Chain Management)
Show Figures

Figure 1

22 pages, 4568 KiB  
Article
Complex Network-Based Resilience Capability Assessment for a Combat System of Systems
by Wenyu Chen, Weimin Li and Tao Zhang
Systems 2024, 12(1), 31; https://doi.org/10.3390/systems12010031 - 18 Jan 2024
Cited by 1 | Viewed by 1413
Abstract
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, [...] Read more.
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 a method to assess the resilience of a combat SoS. Firstly, a network model of a combat SoS is constructed, taking into account multi-functional composite nodes. Secondly, the combat capability model of the combat SoS is built based on the capabilities of the kill chains and kill networks. Lastly, an approach is proposed to calculate the combat capability of the system based on the network’s two-terminal connectivity. Moreover, based on the SoS’s combat capability, the resilience is analyzed from the dimensions of anti-destruction, survival, and recovery. The simulation experiments show that, compared to other methods, the method in this paper for calculating the combat capability of the combat SoS does not depend on the number of kill chains and aligns with the combat processes and actual patterns. Additionally, the resilience measurement method can effectively analyze its capability to cope with external interferences. Full article
Show Figures

Figure 1

19 pages, 886 KiB  
Article
Mechanisms Influencing the Digital Transformation Performance of Local Governments: Evidence from China
by Wei Zhou, Zhijie Lyu and Shixiang Chen
Systems 2024, 12(1), 30; https://doi.org/10.3390/systems12010030 - 17 Jan 2024
Viewed by 1993
Abstract
The transformation of the government into a digital entity is imperative, serving not only as a catalyst for the modernization of China’s governance system and capacity but also as a cornerstone for advancing the digital economy and the establishment of a digital China. [...] Read more.
The transformation of the government into a digital entity is imperative, serving not only as a catalyst for the modernization of China’s governance system and capacity but also as a cornerstone for advancing the digital economy and the establishment of a digital China. This paper presents a multi-level analytical framework designed to assess the digital transformation performance of local governments. Utilizing a dataset comprising macro-regional and micro-individual data from Hubei province, we conduct an extensive analysis to examine the underlying mechanisms that influence the digital transformation performance of local governments and employ the hierarchical linear model (HLM) as the primary analytical instrument. The results of our analysis show that individual-level government–citizen interactions, government image, and district-level department collaborative capacities exert substantial and positive influences on the digital transformation performance of local governments. Furthermore, it is worth noting that department collaborative capacity plays a significant and positive moderating role in the relationship between government image and the digital transformation performance of local governments. These findings not only offer valuable insights for optimizing policy formulation but also contribute to a more comprehensive understanding of the mechanisms underlying the digital transformation performance of local governments. Full article
Show Figures

Figure 1

24 pages, 463 KiB  
Review
Universal Complexity Science and Theory of Everything: Challenges and Prospects
by Srdjan Kesić
Systems 2024, 12(1), 29; https://doi.org/10.3390/systems12010029 - 15 Jan 2024
Viewed by 2730
Abstract
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 [...] Read more.
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 science. In this respect, much attention has been paid to the importance of a “reductionist complexity science” or a “reductionist theory of everything”. Alternatively, many scholars strongly argue for a holistic or emergentist “theory of everything”. The unifying characteristic of both attempts to account for complexity is an insistence on one robust explanatory framework to describe almost all natural and socio-technical phenomena. Nevertheless, researchers need to understand the conceptual historical background of “complexity science” in order to understand these longstanding efforts to develop a single all-inclusive theory. In this theoretical overview, I address this underappreciated problem and argue that both accounts of the “theory of everything” seem problematic, as they do not seem to be able to capture the whole of reality. This realization could mean that the idea of a single omnipotent theory falls flat. However, the prospects for a “holistic theory of everything” are much better than a “reductionist theory of everything”. Nonetheless, various forms of contemporary systems thinking and conceptual tools could make the path to the “theory of everything” much more accessible. These new advances in thinking about complexity, such as “Bohr’s complementarity”, Morin’s Complex thinking, and Cabrera’s DSRP theory, might allow the theorists to abandon the EITHER/OR logical operators and start thinking about BOTH/AND operators to seek reconciliation between reductionism and holism, which might lead them to a new “theory of everything”. Full article
(This article belongs to the Special Issue Theoretical Issues on Systems Science)
27 pages, 3756 KiB  
Article
A UTAUT-Based Framework for Analyzing Users’ Intention to Adopt Artificial Intelligence in Human Resource Recruitment: A Case Study of Thailand
by Tanatorn Tanantong and Piriyapong Wongras
Systems 2024, 12(1), 28; https://doi.org/10.3390/systems12010028 - 15 Jan 2024
Cited by 3 | Viewed by 4188
Abstract
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 [...] Read more.
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 efficiency. However, in Thailand, where there is a growing demand for talents, the application of AI in recruitment remains relatively limited. This study focuses on human resources (HR) and recruitment professionals in Thailand, aiming to understand their perspectives on the integration of AI in recruitment. It utilized the Unified Theory for Acceptance and Use of Technology (UTAUT) model, customized to suit the specific requirements of Thailand recruitment practices. The study explores the factors influencing users’ intention to adopt AI in recruitment. Survey questionnaire items were created based on prior literature and refined with insights from HR and recruitment experts to ensure applicability in the context of recruitment in Thailand. A survey involving 364 HR and recruiting professionals in the Bangkok metropolitan area supplied comprehensive responses. The study reveals that several factors, including perceived value, perceived autonomy, effort expectancy, and facilitating conditions, significantly impact the intention to adopt AI for recruitment. While social influence and trust in AI technology do not have a direct influence on intention, social influence directly affects perceived value. Trust in AI technology positively influences Effort Expectancy. This study provides valuable benefits for HR and recruitment professionals, organizations, and AI developers by offering insights into AI adoption and sustainability, enhancing recruitment processes and promoting the effective use of AI tools in this sector. Full article
Show Figures

Figure 1

35 pages, 13536 KiB  
Article
A Three-Pronged Verification Approach to Higher-Level Verification Using Graph Data Structures
by Daniel Dunbar, Thomas Hagedorn, Mark Blackburn and Dinesh Verma
Systems 2024, 12(1), 27; https://doi.org/10.3390/systems12010027 - 14 Jan 2024
Viewed by 1477
Abstract
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, [...] Read more.
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 approach to higher-level verification tasks that incorporates tools from Semantic Web Technologies (SWTs) and graph theory more generally to enable a three-pronged verification approach to connected data. The methods presented herein use existing SWTs to characterize a verification approach using ontology-aligned data from both an open-world and closed-world perspective. General graph-based algorithms are then introduced to further explore structural aspects of portions of the graph. This verification approach enables a robust model-based verification on the left side of the Vee model to reduce risk and increase the visibility of the design and analysis work being performed by multidisciplinary teams. Full article
(This article belongs to the Section Systems Engineering)
Show Figures

Figure 1

22 pages, 4575 KiB  
Article
The Role of Virtual Reality Simulation in Manufacturing in Industry 4.0
by Ikpe Justice Akpan and Onyebuchi Felix Offodile
Systems 2024, 12(1), 26; https://doi.org/10.3390/systems12010026 - 12 Jan 2024
Viewed by 2527
Abstract
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 [...] Read more.
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 manufacturing in the 4IR, which reveals several roles and benefits. The analysis of the conceptual structure of relevant literature highlights the contexts, applications, and relevance of VRSIM in the i4.0 era, including its potent role in predictive modeling and simulation, digital twin and predictive maintenance, additive manufacturing and 3D printing, and virtual manufacturing and immersive virtual digital factory simulation. VRSIM also offers a realistic virtual environment for mapping human–robot collaboration in different manufacturing environments, such as aircraft and automotive assembly lines, evaluating processes, training factory workers on safety, and assessing workers’ ergonomics in digital production and operations. VRSIM in manufacturing offers active research activities, with increasing literature publications and impacts attracting core sources in industrial engineering, manufacturing systems, production and operations, and information technology. Full article
(This article belongs to the Section Supply Chain Management)
Show Figures

Figure 1

26 pages, 675 KiB  
Article
A Study of the Impact of Executive Corruption on Corporate Innovation
by Ming Bai, Yanru Chen, Ye Hong and Zhongqi Yang
Systems 2024, 12(1), 25; https://doi.org/10.3390/systems12010025 - 11 Jan 2024
Viewed by 1696
Abstract
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 [...] Read more.
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 act as a mediator between executive corruption and corporate innovation, i.e., executive corruption exacerbates the financing constraints faced by firms and affects the access to and allocation of corporate resources, thus leading to a decrease in corporate innovation inputs and outputs. Further, the inhibitory effect of executive corruption on firm innovation is more pronounced in firms with low quality internal controls, strong professional background of executives, low quality external audit, low shareholding of institutional investors, strong political affiliation, and state-owned enterprises. Full article
Show Figures

Figure 1

16 pages, 8833 KiB  
Article
Enhancing Quality Control in Battery Component Manufacturing: Deep Learning-Based Approaches for Defect Detection on Microfasteners
by Thi-Thu-Huyen Vu, Tai-Woo Chang and Haejoong Kim
Systems 2024, 12(1), 24; https://doi.org/10.3390/systems12010024 - 11 Jan 2024
Viewed by 1668
Abstract
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 [...] Read more.
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, we study applying different deep learning approaches and computer vision methods to detect scratches on the surface of microfasteners used in rechargeable batteries. Furthermore, we introduce an architecture with statistical quality control (SQC) to continuously improve the efficiency and accuracy of the product quality. The proposed architecture takes advantage of the capability of deep learning approaches, computer vision techniques, and SQC to automate the defect detection process and quality improvement. The proposed approach was evaluated using a real dataset comprising 1150 microfastener surface images obtained from a factory in Korea. In the study, we compared the direct and indirect prediction methods for predicting the scratches on the surface of the microfasteners and achieved the best accuracy of 0.91 with the indirect prediction approach. Notably, the indirect prediction method was more efficient than the traditional one. Furthermore, using control charts in SQC to analyze predicted defects in the production process helped operators understand the efficiency of the production line and make appropriate decisions in the manufacturing process, hence improving product quality management. Full article
Show Figures

Figure 1

22 pages, 4566 KiB  
Article
Systemic Modeling and Prediction of Port Container Throughput Using Hybrid Link Analysis in Complex Networks
by Xiaozhen Liang, Yingying Wang and Mingge Yang
Systems 2024, 12(1), 23; https://doi.org/10.3390/systems12010023 - 10 Jan 2024
Viewed by 1305
Abstract
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 [...] Read more.
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 a network structure. The framework applies 13 similarity metrics, encompassing various aspects of network structural similarity, to form a feature set representing the complex port operation network. The most effective features are selected using the maximum relevance minimum redundancy (mRMR) method, adhering to systems theory’s efficiency principles. These features are processed through SVM, DNN, and LSTM models for link prediction, which is crucial for forecasting in port logistics. Finally, the methodology concludes with regression analysis to obtain container throughput forecasts, which is a key metric in port systems management. Case studies of Shanghai Port and Shenzhen Port validate the framework’s effectiveness, demonstrating a significant improvement in forecasting accuracy over the baseline models. This study contributes to systems analysis by showcasing a hybrid, AI-enhanced approach for managing and forecasting critical aspects of maritime trade systems. Full article
Show Figures

Figure 1

25 pages, 19279 KiB  
Article
Ecological Efficiency Measurement and Technical Heterogeneity Analysis in China: A Two-Stage Three-Level Meta-Frontier Network Model Based on Segmented Projection
by Ruiyue Lin, Xinyuan Wang and Yu Jiang
Systems 2024, 12(1), 22; https://doi.org/10.3390/systems12010022 - 10 Jan 2024
Viewed by 1229
Abstract
Due to persistent technological impacts on ecological efficiency (eco-efficiency) and variations in economic power and resource endowments among regions, considering regional and temporal heterogeneity becomes imperative. Ecosystems, often divided into economic production and environmental governance stages, necessitate a holistic assessment incorporating regional, temporal [...] Read more.
Due to persistent technological impacts on ecological efficiency (eco-efficiency) and variations in economic power and resource endowments among regions, considering regional and temporal heterogeneity becomes imperative. Ecosystems, often divided into economic production and environmental governance stages, necessitate a holistic assessment incorporating regional, temporal heterogeneity and stage distinctions. To address potential issues of a technology gap ratio (TGR) exceeding 1 within a two-stage network structure with dual heterogeneity, we introduce a segmented projection three-layer meta-frontier analysis method. In empirical study, we systematically examined eco-efficiency, emissions inefficiency and technology gaps across management, regional and temporal dimensions in 30 Chinese provinces from 2016 to 2020. Findings reveal disparities in management eco-efficiency, with the central provinces outperforming the east. Regional differences indicate advanced technology in the east, contributing to superior eco-efficiency. Temporal analysis highlights the positive role of scientific and technological development. Emissions inefficiency improvements are noted, necessitating attention toward management and regional technology levels. Eastern provinces exhibit superior emissions efficiency, emphasizing the role of regional and technological development. Recommendations include prioritizing environmental governance, strengthening regional collaborations and implementing policies to bridge technology gaps. Full article
Show Figures

Figure 1

18 pages, 1455 KiB  
Article
Urban Intellectual Property Strategy and University Innovation: A Quasi-Natural Experiment Based on the Intellectual Property Model City of China
by Qinqin Chen, Xingneng Xia, Yuji Hui and Sheng Zhang
Systems 2024, 12(1), 21; https://doi.org/10.3390/systems12010021 - 10 Jan 2024
Viewed by 1397
Abstract
Colleges and universities play a crucial role in fostering innovation, making it essential to explore effective strategies for promoting innovation at the institutional policy level. This paper focuses on the establishment of intellectual property model cities as a starting point and conducts an [...] Read more.
Colleges and universities play a crucial role in fostering innovation, making it essential to explore effective strategies for promoting innovation at the institutional policy level. This paper focuses on the establishment of intellectual property model cities as a starting point and conducts an empirical analysis using innovation data from 234 cities and 942 colleges and universities between 2007 and 2017. By constructing a multi-temporal double-difference model, this study reveals that the establishment of intellectual property model cities effectively fosters innovation in colleges and universities. Further analysis demonstrates that this promotional effect is particularly significant in the western region, key cities, and key colleges and universities, as well as in the fields of invention and utility model patents. These conclusions withstand a series of robustness tests, confirming their validity. This study reveals that the national intellectual property pilot city policy has a significant influence on university innovation. It achieves this by encouraging investment in research and development and enhancing collaboration in innovation. The findings of this study provide important policy suggestions for maximizing the innovation potential of the intellectual property model city policy. This, in turn, can contribute to economic transformation, upgrading, and the promotion of innovation development in China. Full article
Show Figures

Figure 1

24 pages, 5466 KiB  
Article
Design Model for the Digital Shadow of a Value Stream
by Nicholas Frick, Jan Terwolbeck, Benjamin Seibel and Joachim Metternich
Systems 2024, 12(1), 20; https://doi.org/10.3390/systems12010020 - 9 Jan 2024
Viewed by 1505
Abstract
The value stream method, a key tool in industry to analyze and visualize value streams in production, aims to holistically optimize process steps, reduce waste, and achieve continuous material flow. However, this method primarily relies on data from a single on-site inspection, which [...] Read more.
The value stream method, a key tool in industry to analyze and visualize value streams in production, aims to holistically optimize process steps, reduce waste, and achieve continuous material flow. However, this method primarily relies on data from a single on-site inspection, which is subjective and represents just a snapshot of the process. This limitation can lead to uncertainty and potentially incorrect decisions, especially in industries producing customer-specific products. The increasing digitization in production offers a solution to this limitation by supporting the method through data provision. The concept of the digital shadow emerges as a key tool that systematically captures, processes, and integrates necessary data into a model to enhance traditional value stream mapping. This addresses the method’s shortcomings, especially in heterogeneous IT landscapes and complex value streams. To effectively implement the digital shadow this study identifies concepts of digital shadows and their key components and evaluates them for their relevance in industrial environments using an expert study. Based on the results, a design model is defined. This model entails guidelines to support companies with the practical implementation of the digital shadow of a value stream. Lastly, the model is evaluated on a realistic value stream in a learning factory. Full article
(This article belongs to the Special Issue Lean Manufacturing in Industry 4.0)
Show Figures

Figure 1

23 pages, 1603 KiB  
Article
Impact of Authenticity Perception on Experiential Value and Customer Satisfaction under Contactless Services
by Chia-Ching Tsai, Chun-Ling Lin and Yu-Huan Chen
Systems 2024, 12(1), 19; https://doi.org/10.3390/systems12010019 - 9 Jan 2024
Cited by 1 | Viewed by 2078
Abstract
The global economy has been profoundly affected by the COVID-19 pandemic. This impact is particularly evident in the restaurant industry, where restaurant traffic has dropped significantly, leading to a decline in revenue. In response to the impact of the pandemic, non-contact services, such [...] Read more.
The global economy has been profoundly affected by the COVID-19 pandemic. This impact is particularly evident in the restaurant industry, where restaurant traffic has dropped significantly, leading to a decline in revenue. In response to the impact of the pandemic, non-contact services, such as overseas delivery and door-to-door delivery, have been implemented to reduce interpersonal contact and minimize the spread of the virus. Contactless service not only provides consumers with more choices and convenience but is also an important means of livelihood for restaurant service staff during the pandemic. This study takes the Taiwanese chain restaurant Kura Sushi as an example to explore the impact of service contacts on authenticity consumption and experience value in the context of non-contact services. A total of 318 valid responses to a questionnaire were collected and analyzed using IBM SPSS 25.0 and IBM AMOS 25.0 software. This study made the following findings: (1) service staff performance has a significant positive impact on authenticity perception; (2) the physical restaurant environment has a positive impact on consumers’ perceptions of authenticity; (3) active interactions with other customers significantly enhance the sense of reality; (4) experience values significantly promote real consumption; and (5) experience values also significantly affect consumer satisfaction. Full article
Show Figures

Figure 1

22 pages, 6442 KiB  
Article
Collaborative Model-Based Systems Engineering Using Dataspaces and SysML v2
by Zirui Li, Faizan Faheem and Stephan Husung
Systems 2024, 12(1), 18; https://doi.org/10.3390/systems12010018 - 9 Jan 2024
Viewed by 3450
Abstract
Collaborative Model-based Systems Engineering between companies is becoming increasingly important. The utilization of the modeling possibilities of the standard language SysML v2 and the multilateral data exchange via Dataspaces open new possibilities for efficient collaboration. Based on systemic approaches, a modeling concept for [...] Read more.
Collaborative Model-based Systems Engineering between companies is becoming increasingly important. The utilization of the modeling possibilities of the standard language SysML v2 and the multilateral data exchange via Dataspaces open new possibilities for efficient collaboration. Based on systemic approaches, a modeling concept for decomposing the system into sub-systems is developed as a basis for the exchange. In addition, based on the analysis of collaboration processes in the context of Systems Engineering, an architectural approach with a SysML editor and Dataspace for the exchange is elaborated. The architecture is implemented on the basis of open-source solutions. The investigations are based on an application example from precision engineering. The potential and challenges are discussed. Full article
Show Figures

Figure 1

16 pages, 630 KiB  
Article
Mathematical Modeling Approach to the Optimization of Biomass Storage Park Management
by Leonel J. R. Nunes
Systems 2024, 12(1), 17; https://doi.org/10.3390/systems12010017 - 8 Jan 2024
Viewed by 1461
Abstract
This paper addresses the critical issue of managing biomass parks, a key component in the shift towards sustainable energy sources. The research problem centers on optimizing the management of these parks to enhance production and economic viability. Our aim was to bridge the [...] Read more.
This paper addresses the critical issue of managing biomass parks, a key component in the shift towards sustainable energy sources. The research problem centers on optimizing the management of these parks to enhance production and economic viability. Our aim was to bridge the gap in current research by developing and applying mathematical models tailored for biomass park management. The study commenced by constructing a basic model based on assumptions such as uniform biomass and steady input rates. Progressing from this initial model, we explored sophisticated control strategies, including Pontryagin’s maximum principle and dynamic programming, and employed numerical methods to tackle the nonlinearities and complexities inherent in biomass management. Our approach’s scope extended to predicting and managing biomass flow, highlighting each method’s distinct advantages. The simple model laid the groundwork for understanding, while optimal control techniques revealed the system’s intricate dynamics. The numerical methods provided practical solutions to complex equations. We found that while each method is beneficial on its own, their combined use can significantly improve decision-making in biomass park management. This research emphasizes the importance of aligning the chosen method with specific operational challenges and desired outcomes for optimal efficacy, offering both theoretical insights and practical applications in the field of renewable energy management. Full article
(This article belongs to the Special Issue System Dynamics Modeling for Green Supply Chain Management)
Show Figures

Figure 1

11 pages, 513 KiB  
Study Protocol
Combining Theory-Driven Realist Approach and Systems Thinking to Unpack Complexity of Type 2 Diabetes and Hypertension Management in Low and Middle-Income Countries: Protocol for a Realist Review
by Fatemeh Ehteshami, Rachel Cassidy, Fabrizio Tediosi, Günther Fink and Daniel Cobos Muñoz
Systems 2024, 12(1), 16; https://doi.org/10.3390/systems12010016 - 6 Jan 2024
Viewed by 1584
Abstract
The burden of type 2 diabetes mellitus (T2DM) and hypertension (HTN) has increased worldwide in recent decades, particularly in low- and middle-income countries (LMICs). In these countries, health systems often struggle to provide effective health care services for the management of chronic conditions. [...] Read more.
The burden of type 2 diabetes mellitus (T2DM) and hypertension (HTN) has increased worldwide in recent decades, particularly in low- and middle-income countries (LMICs). In these countries, health systems often struggle to provide effective health care services for the management of chronic conditions. We have developed a study protocol with the aim of conducting a realist review to delve into the complexities behind the management of T2DM and HTN in LMICs. First, we have developed a causal loop diagram (CLD) serving as the initial program theory to represent the health system drivers associated with the effective (or ineffective) management of T2DM and HTN. Next, we will search, select, appraise, extract and analyze the relevant evidence. This evidence will be used to refine and extend the initial program theory to transform it into a middle-range program theory. This will then be verified through Group Model Building (GMB) sessions. The evidence will be summarized applying RAMESES (Realist And MEta-narrative Evidence Syntheses: Evolving Standards). In combining a systems thinking approach with a realist approach to program evaluation, we aim to unravel the mechanisms that govern the management of T2DM and HTN, and the relation between health system-related factors, which lead to outcomes, in different contexts. Full article
Show Figures

Figure 1

15 pages, 1001 KiB  
Article
Stratification and Inequality in the Secondary Education System in Romania
by Ana-Maria Zamfir, Anamaria Beatrice Aldea and Raluca-Mihaela Molea
Systems 2024, 12(1), 15; https://doi.org/10.3390/systems12010015 - 5 Jan 2024
Viewed by 2446
Abstract
Education is a complex system with implications for educational policy and management. Education systems that are more comprehensive generate more equal outcomes, fostering access to opportunities for all children. On the other hand, systems with early selection and tracking are more stratified and [...] Read more.
Education is a complex system with implications for educational policy and management. Education systems that are more comprehensive generate more equal outcomes, fostering access to opportunities for all children. On the other hand, systems with early selection and tracking are more stratified and register higher inequalities in educational outcomes. Educational inequalities imply unequal access to education and, subsequently, career opportunities. The present study employs classification techniques, such as decision trees, in order to highlight lines of stratification and inequality in the upper secondary education system in Romania, focusing on the selection of students in general or vocational programs. Our results show that the education of parents and area of residence are factors that influence the stratification of students in the Romanian secondary education system, and the selection process contributes to the reproduction of social inequalities. The conclusions of this study are consistent with the cultural capital theory in education. Policy and strategic management implications are discussed in light of our results. Full article
(This article belongs to the Section Systems Theory and Methodology)
Show Figures

Figure 1

18 pages, 4655 KiB  
Article
Smart Installation Weather Warning Decision Support
by Martin Tran, Samuel Kreinberg, Eric Specking, Gregory S. Parnell, Brenda Hernandez, Ed Pohl, George Gallarno, John Richards, Randy Buchanan and Christina Rinaudo
Systems 2024, 12(1), 14; https://doi.org/10.3390/systems12010014 - 4 Jan 2024
Viewed by 1548
Abstract
Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) [...] Read more.
Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) criteria list to establish the foundation for our algorithm. We divided the Colorado Springs area into 2300 grids (2.5 square kilometers areas) and grouped the grids into ten microclimates, geographically and meteorologically unique regions, per pre-defined microclimate regions provided by the Fort Carson Air Force Staff Weather Officers (SWOs). Our algorithm classifies each weather event in the WWA list using the National Weather Service’s and National Digital Forecast Database’s data. Our algorithm assigns each event a criticality level: none, advisory, watch, or warning. The traffic network data highlight the importance of each road segment for travel to and from Fort Carson. The algorithm also uses traffic network data to assign weight to each grid, which enables the aggregation to the region and installation levels. We developed a weather dashboard in ArcGIS Pro to verify our algorithm and visualize the forecasted warnings for the grids and regions that are or may be affected by weather events. Full article
(This article belongs to the Topic Digital Technologies for Urban Resilience)
Show Figures

Figure 1

21 pages, 1828 KiB  
Article
Utilizing a Transdisciplinary (TD) Systems Engineering (SE) Process Model in the Concept Stage: A Case Study to Effectively Understand the Baseline Maturity for a TD SE Learning Program
by LynnDee Ford and Atila Ertas
Systems 2024, 12(1), 13; https://doi.org/10.3390/systems12010013 - 4 Jan 2024
Viewed by 1608
Abstract
Systems engineering (SE) solves the most complex problems, bringing together societal issues, theoretical engineering, and the transformation of theory into products and services to better humanity and reduce suffering. In industry, the effort to transform theoretical concepts into practical solutions begins with the [...] Read more.
Systems engineering (SE) solves the most complex problems, bringing together societal issues, theoretical engineering, and the transformation of theory into products and services to better humanity and reduce suffering. In industry, the effort to transform theoretical concepts into practical solutions begins with the product life cycle concept stage, where systems engineering estimates and derives technologies, costs, and schedules. It is crucial to have a successful concept stage as today’s industries focus on producing the most capable technologies at an affordable cost and faster time to market than ever before. The research of this paper utilizes a transdisciplinary SE process model in the concept stage to develop and propose training for early-in-career engineers, effectively bridging the gap from university learning to industry practice. With a focus on the concept stage of the product life cycle and the industry’s demands of expeditiously proposing complex technical solutions, the paper aims to create an efficient learning program. The main objective of this research is to create a learning program to bring up-to-speed early-in-career engineers using a transdisciplinary SE process model, with six key components: (1) disciplinary convergence—creating a collective impact; (2) TD collaboration; (3) collective intelligence; (4) TD research integration; (5) TD engineering tools; and (6) analysis and TD assessment. The research will then conclude with a case study piloting the TD learning program and analyzing its effectiveness, ultimately aiming to enhance early-in-career engineers’ skills in proposing technical solutions that meet customer demands and drive business profitability. Full article
Show Figures

Figure 1

19 pages, 414 KiB  
Article
Assessment of Smart Technologies in Regional Innovation Systems: A Novel Methodological Approach to the Regionalisation of National Indicators
by Elpida Samara, Pavlos Kilintzis, Nicos Komninos, Athanasios Anastasiou and George Martinidis
Systems 2024, 12(1), 12; https://doi.org/10.3390/systems12010012 - 3 Jan 2024
Cited by 2 | Viewed by 1685
Abstract
Innovation systems consist of different organisations from the quadruple helix, as well as the interactions and linkages between them. Smart technologies and ICT play a key role in the efficiency of systems. At the same time, regional scale is considered crucial for studying [...] Read more.
Innovation systems consist of different organisations from the quadruple helix, as well as the interactions and linkages between them. Smart technologies and ICT play a key role in the efficiency of systems. At the same time, regional scale is considered crucial for studying innovation in systems. However, the lack of many important data at the regional level compounds the efforts to study them. The paper proposes a novel methodological approach to the regionalisation of national-level indicators in order to address this issue. This is based on the model fit approach, using regressions to “regionalise” national-level indicators based on similar indicators that are available. The approach is tested on the data for Greek NUTS 2 regions and produces regional-level estimates for four innovation indicators, based on four available indicators that are found to be strongly correlated to them. However, the same approach can be used for any EU country or the whole of the EU. The results, their prospects for future research, and potential applications are considered. Overall, the availability of regional-level indicators is considered crucial for the formulation of impactful development policies. Full article
(This article belongs to the Section Systems Theory and Methodology)
28 pages, 715 KiB  
Article
Unleashing Green Innovation in Enterprises: The Transformative Power of Digital Technology Application, Green Human Resource, and Digital Innovation Networks
by Jian Liu, Qibin Wang and Chaoyi Wei
Systems 2024, 12(1), 11; https://doi.org/10.3390/systems12010011 - 30 Dec 2023
Viewed by 2290
Abstract
The rapid development of digital technology has injected new vitality into green technological innovation within manufacturing enterprises. Proper application of digital technology during the innovation process can propel global sustainable development. Using Chinese publicly traded manufacturing firms as a sample, this study employed [...] Read more.
The rapid development of digital technology has injected new vitality into green technological innovation within manufacturing enterprises. Proper application of digital technology during the innovation process can propel global sustainable development. Using Chinese publicly traded manufacturing firms as a sample, this study employed a constructed digital technology innovation network and OLS models to unveil the mechanisms through which digital technology application affects green technological innovation. This research reveals a significant positive impact of the breadth and depth of digital technology applications on companies’ green technological innovation performance. Green human resource allocation serves as an intermediary in this relationship. Furthermore, the embeddedness and structural embeddedness of the digital technology innovation network play a significantly positive moderating role in the relationship between digital technology applications and green human resource allocation. This discovery provides a theoretical foundation for how companies can harness digital technology to promote green innovation within China’s digital strategy. It aids manufacturing enterprises in optimizing digital technology applications, improving green human resource allocation, and facilitating the development of digital technology innovation networks, advancing more sustainable development and contributing to global environmental goals. Full article
(This article belongs to the Special Issue Strategic Management in Digital Transformation Era)
Show Figures

Figure 1

25 pages, 443 KiB  
Article
Towards a Transcultural Approach for Inter-Professional Communication in Complex IT Project Teams—Aiming to Avoid Cross-Functional and Cross-Hierarchical Conflicts
by Cezar Scarlat and Daniela-Anca Sârbu Bărar
Systems 2024, 12(1), 10; https://doi.org/10.3390/systems12010010 - 29 Dec 2023
Viewed by 1677
Abstract
IT projects are becoming increasingly complex due to rapidly advancing technologies, the need to tackle more difficult problems, and the involvement of a larger variety of experts with different backgrounds and experiences from different countries and cultures. It is also common for these [...] Read more.
IT projects are becoming increasingly complex due to rapidly advancing technologies, the need to tackle more difficult problems, and the involvement of a larger variety of experts with different backgrounds and experiences from different countries and cultures. It is also common for these teams to often work remotely in virtual settings. In this context, besides conflicts between IT project team members, cross-functional and cross-hierarchical organizational conflicts might emerge as well. These conflicts can vary in terms of their origin, nature, and intensity. This paper is a qualitative study focused on understanding interpersonal communication-based conflicts in multicultural and multidisciplinary IT project teams. The purpose is to find a common approach that can mitigate and eventually resolve these conflicts, aiming to promote shared knowledge and ultimately reduce the gap in understanding and the likelihood of conflicts. Both secondary research (a literature survey) and primary research (involving experienced managers and experts from project teams in the Romanian IT industry) were conducted in order to reach the objectives, besides sets of lessons learned and recommendations, to develop a framework for systematic conflict analysis and to propose a practice for a transcultural framework of common team vocabulary. To achieve these, a number of conflicts were investigated in IT project teams and corresponding cases. Based on the research findings, the authors concluded that a more formal approach is needed to address the problem of conflicts. From a theoretical standpoint, this paper suggests the concept of management diversity and provides a typology of organizational conflicts. Nevertheless, the framework for systematic analysis of conflict typology (FACT) and the framework of common team vocabulary in the multicultural environment of IT organizational project teams, as well as the sets of lessons learned and recommendations, might be useful and inspiring for both scholars and managers, not only in the IT sector. Full article
24 pages, 14446 KiB  
Article
Dynamic Scheduling Optimization Method for Multi-AGV-Based Intelligent Warehouse Considering Bidirectional Channel
by Chengwei Yu, Wenzhu Liao and Leting Zu
Systems 2024, 12(1), 9; https://doi.org/10.3390/systems12010009 - 28 Dec 2023
Viewed by 1434
Abstract
With the implementation of AGV technology and automated scheduling, storage and retrieval systems have become widely utilized in warehouse management. However, due to the use of unidirectional channels, AGV movement is restricted, and detours may occur frequently. Additionally, as the number of AGVs [...] Read more.
With the implementation of AGV technology and automated scheduling, storage and retrieval systems have become widely utilized in warehouse management. However, due to the use of unidirectional channels, AGV movement is restricted, and detours may occur frequently. Additionally, as the number of AGVs increases, deadlocks can arise, which lead to delays in order packaging and a decrease in overall warehouse performance. Hence, this paper proposes a dynamic scheduling method for task assignment and route optimization of AGVs to prevent collisions. The routing optimization method is based on an improved A* algorithm, which takes into account the dynamic map as input. Moreover, this paper investigates highly complex collision scenarios in bidirectional channels. Through simulation experiments, it is evident that scheduling methods based on bidirectional channels offer a clear advantage in terms of efficiency compared to those based on unidirectional channels. Full article
Show Figures

Figure 1

0 pages, 736 KiB  
Article
Diagnosing Complex Organisations with Diverse Cultures—Part 1: Agency Theory
by Maurice Yolles and Tuomo Rautakivi
Systems 2024, 12(1), 8; https://doi.org/10.3390/systems12010008 - 26 Dec 2023
Cited by 1 | Viewed by 1799
Abstract
Complex organisations require coherence to achieve adaptive goals through agency. This paper introduces Mindset Agency Theory (MAT), a metatheoretical framework designed for modelling and diagnosing agency within culturally diverse populations. MAT, a cybernetic multi-ontology framework, delineates five formative traits defining agency character. Its [...] Read more.
Complex organisations require coherence to achieve adaptive goals through agency. This paper introduces Mindset Agency Theory (MAT), a metatheoretical framework designed for modelling and diagnosing agency within culturally diverse populations. MAT, a cybernetic multi-ontology framework, delineates five formative traits defining agency character. Its cognitive style trait (with bipolar values of Patterning–Dramatising) elucidates how agencies acquire information. Examining diverse agencies requires an appreciation of the social relationships that exist there, but MAT is currently devoid of this capability. Using the configuration approach to enable the integration of Tönnies’ social organisation theory into MAT, social relationships can be suitably explored, thus enhancing its capacity to investigate agency coherence. Tönnies’ theory of social organisation (with bipolar values of Gemeinschaft-Gesellschaft) that frames inter-agent interactions is configured within MAT. This integration births a new formative trait, pairing cognitive style with social organisation, and is thus capable of indicating the likelihood of operative coherence. Configuration is applied by relating propositional attributes of a holding metatheory framework such as MAT, with an entry theory such as Tönnies’ social organisation theory as determined from the literature. The elaborated MAT serves as a diagnostic tool, linking trait instabilities with agency pathologies that deliver dysfunction. A subsequent paper will apply this framework to ASEAN, a regional intergovernmental organisation addressing cultural diversity issues. The study aims to evaluate ASEAN’s mindset and diagnose its pathologies, such as narcissism and paradoxical behaviour. Full article
Show Figures

Figure 1

24 pages, 10466 KiB  
Article
Enhancing Multi-Modal Perception and Interaction: An Augmented Reality Visualization System for Complex Decision Making
by Liru Chen, Hantao Zhao, Chenhui Shi, Youbo Wu, Xuewen Yu, Wenze Ren, Ziyi Zhang and Xiaomeng Shi
Systems 2024, 12(1), 7; https://doi.org/10.3390/systems12010007 - 25 Dec 2023
Cited by 1 | Viewed by 1965
Abstract
Visualization systems play a crucial role in industry, education, and research domains by offering valuable insights and enhancing decision making. These systems enable the representation of complex workflows and data in a visually intuitive manner, facilitating better understanding, analysis, and communication of information. [...] Read more.
Visualization systems play a crucial role in industry, education, and research domains by offering valuable insights and enhancing decision making. These systems enable the representation of complex workflows and data in a visually intuitive manner, facilitating better understanding, analysis, and communication of information. This paper explores the potential of augmented reality (AR) visualization systems that enhance multi-modal perception and interaction for complex decision making. The proposed system combines the physicality and intuitiveness of the real world with the immersive and interactive capabilities of AR systems. By integrating physical objects and virtual elements, users can engage in natural and intuitive interactions, leveraging multiple sensory modalities. Specifically, the system incorporates vision, touch, eye-tracking, and sound as multi-modal interaction methods to further improve the user experience. This multi-modal nature enables users to perceive and interact in a more holistic and immersive manner. The software and hardware engineering of the proposed system are elaborated in detail, and the system’s architecture and preliminary function testing results are also included in the manuscript. The findings aim to aid visualization system designers, researchers, and practitioners in exploring and harnessing the capabilities of this integrated approach, ultimately leading to more engaging and immersive user experiences in various application domains. Full article
(This article belongs to the Section Systems Engineering)
Show Figures

Figure 1

Previous Issue
Next Issue
Back to TopTop