Systems, Volume 12, Issue 6 (June 2024) – 30 articles

As global economic competition intensifies, collaborative innovation in strategic emerging industries has become a key factor in promoting economic growth and business development, attracting widespread attention. To delve into the mechanisms of collaborative innovation among China’s strategic emerging industries, this study employs a social network analysis. It investigates the characteristics of these industries by analyzing 8,775,496 invention patents, exploring the impact of inter-industry innovation networks on collaborative innovation. Furthermore, this study incorporates industry knowledge acquisition as a mediating variable and the network density within individual industries as a moderating variable, to more comprehensively explain this impact mechanism. We find that relational and structural embeddings within inter-industry innovation networks significantly positively affect collaborative innovation performance, highlighting the importance of partnerships and the critical role of network configurations. Additionally, the breadth and depth of knowledge acquisition mediate the relationship between relational embedding in inter-industry innovation networks and collaborative innovation performance, emphasizing the pivotal role of knowledge acquisition in fostering collaborative innovation. Lastly, the network density within individual industries positively moderates the relationships between both relational and structural embedding in inter-industry innovation networks and collaborative innovation performance, revealing specific impacts of both internal and external industry innovation network characteristics on collaborative innovation. These findings not only provide practical guidance for collaborative innovation across industries but also offer new insights and implications for policy-making and academic research. In future industrial development, special emphasis should be placed on establishing and maintaining partnerships, optimizing inter-industry innovation networks, and enhancing the breadth and depth of knowledge acquisition to foster sustainable development of collaborative innovation. This is crucial for enhancing corporate competitiveness, creating more job opportunities, and driving innovative economic development. Full article

Colombia has positioned itself as a significant actor in Hass avocado production, capitalizing on the rising global demand and its suitable climate for the crop. These conditions have led to considerable investments from farmers. In this business environment, this research presents a systematic simulation and methodological approach for the evaluation of crops focusing on the Hass avocado and its extension to small-scale producers in Colombia. The initial phase involved a comprehensive analysis of key variables in the Hass avocado production chain, assessing productivity and viability. Subsequently, a dynamic model was developed to explore four scenarios spanning 13 years. The first scenario evaluated the production chain’s current behavior, while the second scrutinized the impact of credit accessibility. The third scenario analyzed the associativity among producers’ effects, and the fourth assessed the impact of government support. The results underscore that the implementation of each strategy improves the economic returns. Integrating all three strategies is the most effective method. These scenarios serve as proactive tools for investors, equipping them valuable insights and enabling informed decisions. Moreover, the study advocates for the promotion of rural economic development through strategic agricultural interventions. Full article

The issue of corporate rent-seeking, which stems from the misuse of authority, remains a critical concern for the international community. Drawing on agency theory and resource dependence theory, this study explores the relationship between corporate digitalization strategies (DSs) and corporate rent-seeking. We test our theoretical hypotheses by utilizing panel data encompassing Chinese A-share listed companies from 2004 to 2021. Our findings suggest that corporate DSs have a significant negative influence on rent-seeking. Several robustness tests support this conclusion. Moreover, our analysis indicates that a DS is particularly effective in curtailing rent-seeking behaviors within state-owned enterprises (SOEs) compared with their non-state-owned counterparts. However, contrary to our hypothesis, a DS is less effective in suppressing corporate rent-seeking among firms where the executive team has legal backgrounds. These findings suggest that top managers, especially within SOEs, should prioritize the early formulation of digital transformation strategies to reduce rent-seeking behavior. Additionally, when implementing digital transformation, firms should carefully integrate members with legal backgrounds into their executive teams and strengthen ethical education and supervision for executives with legal expertise. Full article

Recently, there has been a notable surge in the intricate complexities of global supply chain management (SCM), which is gaining researchers’ attention. Supply chain sustainability is put at risk by security issues in blockchain technology that affect everything from infrastructure to management. For sustainable supply chain management (SSCM), these elements are deemed crucial. To address this, the purpose of this research is to examine the impact of blockchain security factors on SSCM among United Kingdom manufacturing firms. Based on the resource-based view (RBV) theory and the Technology–Organisation–Environment (TOE) framework, the research hypotheses and framework were developed. To achieve the research objectives, a hybrid approach that combines structural equation modelling and artificial neural networks (ANNs) was adopted to perform the analysis. The research findings indicate that privacy, network, confidentiality, and managerial factors are vital to promoting SSCM. Furthermore, the ANN analysis highlights that managerial (trust management) and supplier privacy factors are the most important constructs. Unlike prior research that theoretically assumed that all relationships are linear, this has been a novel study that has successfully validated that there exists a nonlinear relationship between the RBV theory and the TOE framework. Based on the outcomes, the study’s contributions, its practical implications, and future research avenues are discussed. Full article

This study examines how ambidextrous balanced innovation and ambidextrous combined innovation affect international entrepreneurial-oriented enterprise growth within the holistic paradigm of systems thinking and discusses the systemic impact of industry international competitiveness and industry financing dependence. We select the unbalanced panel data of China’s ICT industry international enterprises from 2010 to 2021 for empirical research, and we employ the fixed effect model for testing. The empirical results indicate that both ambidextrous balanced innovation and ambidextrous combined innovation promote international entrepreneurial-oriented enterprise growth, that the industry’s international competitiveness positively moderates the relationship between ambidextrous balanced innovation and international entrepreneurial-oriented enterprise growth, and that the industry’s financing dependence negatively moderates the relationship between ambidextrous balanced innovation and international entrepreneurial-oriented enterprise growth. The aforementioned conclusion is robust against a series of robustness tests. This study expands the theoretical research on international entrepreneurship and ambidextrous innovation strategy selection and may help in the selection of ambidextrous innovation strategies for international entrepreneurial-oriented enterprises. Full article

With the rise of research on the integration of emergence theory and complex systems, value emergence has become a new model of value creation in green innovation ecosystems. Exploring the research status of green innovation ecosystems from the perspective of value emergence has become a research hotspot in the field of management science. Therefore, the purpose of this paper is to use bibliometric methods, explore the current research status of green innovation ecosystems from the perspective of value emergence, and, more importantly, provide a future direction for the integration of emergence theory into complex systems. In this paper, a search was conducted in the Web of Science and CNKI databases, with a time limit from 2009 to May 2023, and through further screening, 159 articles were collected, and CiteSpace software (CiteSpace.6.3.R1) was used for visualizing and exploring bibliometric networks. This study innovatively introduce the value emergence perspective in the context of green innovation ecosystems. The basic interaction, dynamic promotion, and feedback loop of value emergence are taken as the research framework, and the generation mechanism and dynamic evolution of the green innovation ecosystem are analyzed. Finally, three prospects for future research are presented: How do green innovation entities generate basic resources? How do digital transformation and dynamic capabilities promote emerging value? How do internal models and external identifiers promote feedback loops? This paper is highly important for promoting theoretical exploration in the field of green innovation research. Full article

Given the swift expansion of fresh e-commerce, the front warehouse mode can respond quickly and ensure the quality of fresh products. However, the complexity of the supply chain structure under front warehouse mode poses a challenge in reducing logistics costs and improving distribution efficiency while meeting consumers’ immediate delivery demands. Therefore, this paper studies the vehicle routing problem of two-echelon fresh e-commerce under front warehouse mode. Considering trans-shipment time constraints between the two echelons and the characteristics of terminal distribution, this paper initially models the vehicle routing problem for front warehouses as a two-echelon multi-trip capacitated vehicle routing problem with time windows. A mixed-integer linear programming model is subsequently established. To solve the model, a hybrid genetic algorithm integrated with neighborhood search is developed. Matrix coding is employed to merge vehicle selection and route assignment decisions. Simultaneously, neighborhood search is applied to enhance the search capability of algorithms, thereby improving the quality of solutions. Furthermore, the effectiveness and efficiency of the model and algorithm are verified through experiments of varying scales. Finally, comparative strategies and sensitivity analysis highlight the advantages of multi-trip strategies and provide insights into the optimal vehicle capacity limit. Full article

Grain is a commodity related to the livelihood of the nation’s people, and the volatility of its futures price affects risk management, investment decisions, and policy making. Therefore, it is very necessary to establish an accurate and efficient futures price prediction model. Aiming at improving the accuracy and efficiency of the prediction model, so as to support reasonable decision making, this paper proposes a Bi-DSConvLSTM-Attention model for grain futures price prediction, which is based on the combination of a bidirectional long short-term memory neural network (BiLSTM), a depthwise separable convolutional long short-term memory neural network (DSConvLSTM), and an attention mechanism. Firstly, the mutual information is used to evaluate, sort, and select the features for dimension reduction. Secondly, the lightweight depthwise separable convolution (DSConv) is introduced to replace the standard convolution (SConv) in ConvLSTM without sacrificing its performance. Then, the self-attention mechanism is adopted to improve the accuracy. Finally, taking the wheat futures price prediction as an example, the model is trained and its performance is evaluated. Under the Bi-DSConvLSTM-Attention model, the experimental results of selecting the most relevant 1, 2, 3, 4, 5, 6, and 7 features as the inputs showed that the optimal number of features to be selected was 4. When the four best features were selected as the inputs, the RMSE, MAE, MAPE, and $R^2$ of the prediction result of the Bi-DSConvLSTM-Attention model were 5.61, 3.63, 0.55, and 0.9984, respectively, which is a great improvement compared with the existing price-prediction models. Other experimental results demonstrated that the model also possesses a certain degree of generalization and is capable of obtaining positive returns. Full article

Users of escalators and moving walkways with sufficient space to accommodate two lanes of users often follow an implied etiquette for the two lanes: one for walking and one for standing (in the US, China, and many countries, the convention is “walk left, stand right”). When there is high volume, e.g., when exiting a subway or train station or at the conclusion of an athletic event, the escalators often experience bottleneck congestion that constitutes the primary source of delay. It has been suggested that during such high-congestion periods, it would be more efficient if everyone just stood in both lanes, with empirical evidence used to support this counterintuitive finding. Simple deterministic queueing models are used to show under what conditions such results hold and also to provide further insights regarding tradeoffs between performance metrics as a function of the distribution of walkers and standers, which could inform practical implementation policies to increase efficiency. Full article

The global supply chain is facing unprecedented challenges due to pandemics, geopolitical tensions, volatile commodity prices, and rapid changes in consumer demand. The Sales and Operations Planning (S&OP) process can be an important solution by integrating supply and demand with business strategy and operational planning. However, previous studies have developed single frameworks or maturity models without considering industry-specific factors, overlooking the structural and operational characteristics of different industries that can have a significant impact on the approach and success factors of S&OP. Therefore, this study identifies and compares the key success factors of S&OP in the manufacturing and retail industries using the Analytic Hierarchy Process (AHP) technique. The results show clear differences in the prioritization of success factors between two industries. In the manufacturing industry, strategic support and leadership were evaluated as the most critical factor, while in the retail industry, operational processes were emphasized. In addition, the relative importance was concentrated on the top-ranked factor in the manufacturing industry, but the relative importance was distributed among several factors in the retail industry. This study provides valuable insights into the critical success factors for S&OP implementation in different industries and offers an understanding of how industry-specific characteristics influence the effectiveness of S&OP strategies. Full article

This study investigates the competitive issues of the newsvendor problem with product substitution under the carbon cap-and-trade system. Building on existing research, this paper introduces the carbon cap-and-trade system under uncertain market demand and considers that the original equipment manufacturer (OEM) can choose to procure raw materials from the contract manufacturer (CM), with both final products being substitutable. Furthermore, we explore the different substitution relationships between OEM and CM products under both pure competitive and co-opetitive modes. For this problem, decision models are developed for various scenarios, and optimal solutions satisfying given conditions are provided. We find that in one-way substitution, under pure competition, an increase in the OEM’s (or CM’s) green investment and substitution rate only leads to an increase in OEM’s (or CM’s) yields, while an increase in the OEM’s (or CM’s) green investment does not necessarily reduce CM’s (or OEM’s) yields. In the co-opetitive mode, an increase in the substitution rate and green investments of both manufacturers may lead to an increase in the yields of both manufacturers. Furthermore, an increase in carbon trading prices does not necessarily inhibit the manufacturer’s yields. Moreover, we find that under the same competition mode, under certain conditions, two-way substitution between OEM and CM can bring better profits to both manufacturers and the entire supply chain. When the two modes are in the same substitution scenario, and the CM cannot substitute for the OEM, the optimal decisions and total supply chain profits of the two modes are equal. Finally, through numerical analysis, we find that neither mode is necessarily optimal when CM can substitute for OEM. Additionally, it is observed that when the same mode is in different substitution scenarios, total supply chain profits may be enhanced in the presence of product substitution. Full article

The significance of Regional Innovation Systems (RIS) as a strategic tool for enhancing a region’s competitiveness has been increasingly recognized. This paper presents a model of RIS that was developed using the system dynamics (SD) methodology. The goal of this model is to amalgamate the systemic approach with computer modeling and simulation disciplines into a comprehensive dynamic framework for analyzing RIS. Within this framework, the paper explores the impact of smart technologies on regional development through the RIS. Specifically, the SD model serves as an ‘experimental tool’ for conducting extensive what-if scenario analyses concerning smart technologies. The efficacy of these technologies is examined in terms of their dynamic influence on regional development, with insights derived from simulation outcomes. Data from two Greek regions provides a strategic analysis over a designated time horizon. Full article

The two-part tariff (TPT) policy is implemented as an important initiative to accelerate the marketization of the pumped storage industry and promote its high-quality development. However, it is not clear exactly how the TPT policy affects the productivity of the pumped storage industry. Using the EBM-GML method and the DID model, this paper measures the total factor productivity of the pumped storage industry and explores the impact of the Two-Part Tariff (TPT) policy on its total factor productivity. Based on the samples of 16 provinces in China from 2004 to 2020, we find the following: (1) At present, the total factor productivity of China’s pumped storage industry is still at a low level. (2) TPT policy can promote the improvement of total factor productivity, which was strongly supported by the robustness test. Innovation incentive is one of the main mechanisms. (3) The impact of TPT policy on total factor productivity has obvious regional heterogeneity. By geographic location, the TPT policy has little effect on the pumped storage industry’s TFP in the eastern region, but it exerts a significant positive role in the central region. By energy affluence, TPT policy effect is stronger in provinces with low energy dependence. By environmental governance, the role of this policy is more obvious in provinces with low environmental regulation but developed green financial market. Finally, some corresponding policy implications have been put forward. Full article

Integrated information systems in sports have the potential to improve the efficiency of data management and support the managers’ decision-making. However, this implementation faces challenges such as inefficiency, data duplicity, and time demands. This study represents a comparative analysis of sports information systems’ implementation in four countries—Slovakia, Czech Republic, England, and Denmark. The originality of this study stems from the fact that there is currently no research background examining this issue to the same extent. This study’s methodology focuses on the identification of the benefits and challenges occurring while implementing sports information systems and performing data management and analysis. This study also focuses on the potential of these systems to support managerial decision-making in this area. Data were collected from national sports databases and other relevant sources. Verification of the hypotheses showed that the implementation of sports information systems in Slovakia is inefficient in terms of costs and technology. Nevertheless, the systems that were implemented support managerial decision-making and their success is comparable to other EU countries within the aspects studied. Following the results, the main recommendation is to ensure transparency, automation, and strategic planning in the implementation of sports information systems. Future research directions include ethical and legal issues related to the utilization of technology in sports and the improvement of the user experience. Full article

This study improves our comprehension of the relationship between the digital transformation process and environmental disclosure in emerging economies. Specifically, it delves into the effects of digital transformation on both symbolic and substantive environmental disclosure types through the application of text mining methods. Additionally, this research examines how these impacts are moderated by the political experience of senior managers. Drawing on a panel dataset of 2033 listed Chinese manufacturing firms over the period from 2009 to 2020, the findings reveal that (1) the digital transformation process is negatively associated with substantive environmental disclosure and (2) the senior managers’ political experience positively moderates the relationship between the digital transformation process and symbolic environmental disclosure. Several supplementary analyses were also conducted to enrich these results. The implications of this work may have substantial value for practitioners, policymakers, and researchers operating within the industrial sector. Full article

Grassroots communities in the 21st century take on the role of social innovators and contribute to addressing market failures and system failures through innovative action. The aim of this empirical study is to evaluate the various modes in which social innovations (products and services) arise in the conditions of community-led grassroots initiatives, to compare the patterns of social and economic value creation through these innovations and to elaborate the possibilities of their commercial exploitation. Drawing from data on 63 innovative products and service of 106 grassroots, taking the optics of grounded theory and adopting the approach of comparative analysis, this study sheds a light on the emergence of “pure”, “bi-focal”, and “market-exposed SI” products and services. Furthermore, the results suggest that it is possible to conceptualize the demand for community-led products and services. The majority of identified innovative products and services of grassroots generate a mix of social and economic outcomes that address both the social needs within one’s own community and needs of various stakeholders, or marginalized groups. The differentiation of SI into “pure”, “bi-focal”, and “market-exposed” was found to be relevant. Also, we identified a rationale for further elaboration of the evolutionary patterns of SI development, as we found that some “pure” SIs have the potential to be introduced to market within the later stages of the SI life-cycle. Some of the investigated products and service had to be commercially exploited due to a paradox—some social, public beneficial solutions need to be commercially exploited to be provided sustainably in the long term. Full article

One of the primary concerns and challenges encountered in the construction industry is the emergence of crucial factors instigating project delays throughout the construction project lifecycle (CPL). The critical delay factors (CDFs) are the significant factors that not only cause project delays but also create obstacles and bottlenecks for the projects. Hence, the current study aims to determine CDFs affecting project completions and ameliorates the adverse situation by developing relevant bottleneck management strategies. To achieve this goal, a desktop review of previous research studies was undertaken to identify the CDFs in the CPL. The brainstorming technique was further utilized to filter the identified CDFs and match them to the context of developing countries, using Iran as a case example. Finally, an empirical questionnaire was created that included 22 CDFs divided into three distinct groups. The questionnaire’s validity and reliability were checked and validated before massive distribution to target respondents. Sixty industry experts appraised the identified CDFs in the CPL based on two assessment criteria: the severity of impact and probability of occurrence. The findings revealed that the groups with the most significant level of impact (out of 5 points) are project planning and design (2.29), construction and delivery (1.99), and policymaking and legislation (1.72). Similarly, the groups of project planning and design (2.30), construction and delivery (2.20), and policymaking and legislation (1.5) were ranked from first to third based on the probability of occurrence. According to the survey findings, the project planning and design stage is the most optimal time to mitigate the impact of project delays. Moreover, the study posited some pragmatic recommendations as bottleneck management strategies for ameliorating the identified CDFs for future projects. The study deliverables can serve as an effective tool for project stakeholders and decision makers to diminish the impact on and penetration of CDFs into building construction projects and enhance the delivery path leading to project success. Full article

In an era where technology increasingly blurs the boundaries between humans and machines, artifacts have become crucial mediums for critically examining the technological, social, and ethical dimensions of Human–Computer Interaction (HCI). This study explores artifacts as a key yet underutilized medium for speculation in the evolving field of HCI from a systemic perspective. While artifacts increasingly enable HCI to move beyond optimizing user experiences towards critically and collaboratively envisioning futures, perspectives comprehensively examining artifacts across the speculative design process and their impacts remain limited. Through a literature review of 53 speculative artifacts within the scope of HCI, this research elucidates the roles of artifacts across intention, making, and impact. Four categories of speculative artifacts emerged—Reflective, Exploratory, Interventional, and Heuristic—demonstrating how artifacts employ material, ambiguous, functional, and provocative forms to shape experiences, behaviors, and social norms. This study highlights the need for HCI to increasingly recognize the capacity of artifacts to support critical, sustained, participatory speculation by providing tangible representations of alternative futures. Speculative artifacts thus serve as powerful mediums to engage in societal discourse around the ethics and values of emerging technologies and to envision and enact responsible innovation. The materialization of alternative futures through artifacts allows researchers to reimagine socio-technological relationships, pushing design into inclusive, controversial spaces where diverse stakeholders can collaboratively shape desired and undesired futures. Full article

Digital transformation is taking place across all levels of governance, from small businesses to governments. If the seed of digital transformation is data, then reliable connectivity is the nourishing soil that data need to prosper. With digital transformation, billions of connections require more broadband. In response to this need, some countries are preparing national 5G strategies, as 5G technology has been identified as a significant driver of the digital economy. In this study, 16 national 5G strategies have been systematically and comprehensively analyzed, and a checklist has been developed to formulate national 5G strategies and policies. The checklist can be used by policymakers, especially in developing countries, to guide the preparation of national 5G strategies and policies. Of course, each country’s national strategy will differ regarding resources, culture, etc. It is hoped that this checklist may speed up the preparation process by providing a baseline during the strategy formulation phase and make the process more efficient by incorporating lessons learned, especially for developing countries. Full article

Scientific communication holds a pivotal role within research institutions. This study establishes three distinct categories of indicators, tailored to the unique attributes of these institutions, aiming to assess their performance in scientific communication. Employing a rigorous two-stage data envelopment analysis (DEA) approach, we meticulously calculate output efficiency, feedback efficiency, and overall efficiency. Subsequently, we cluster the efficiency outcomes and delve into the factors that influence them. Drawing from the clustering insights and identified influencing factors, we formulate targeted scientific communication strategies tailored to the needs of these research institutions. Full article

Supplier selection is a multi-attribute decision-making (MADM) problem that is affected by often-conflicting factors (e.g., price, quality, and delivery performance). If a supplier selection problem (SSP) is solved by different MADM methods, different solutions are likely to be obtained. This can be advantageous for decision makers because they have a good choice of alternative solutions. However, it brings about the need for a comparison approach for choosing the solution that best fits the decision maker’s purchasing strategy. So, decision makers may have two needs: (1) a good choice of alternative solutions and (2) a comparison approach. To help decision makers with the first need, we make two contributions to the literature on SSPs. For one, we formulate an integer nonlinear optimization model that evaluates and sorts the suppliers based on similarity to the ideal solution. For another, we make enhancements to the existing Factor Rating (FR) method. For the second need, we propose a comparison procedure to rank different solutions by measuring their relative closeness, both Rectilinear and Euclidean, to the ideal solution. The first two proposed methods along with the existing FR and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) methods are applied to a set of test SSPs, and then, the comparison procedure is used to identify the ‘superior’ method for each test problem. Full article

The fashion sector, recognized for its resource-intensive methods, is currently encountering pressing sustainability issues due to its substantial dependence on natural resources, extensive utilization of chemicals, and exploitation of labor within its supply chain, thus giving rise to notable environmental and ethical apprehensions. In the Industry 4.0 era, which emphasizes the integration of new production technologies to enhance working conditions, productivity, and production facility quality, the fashion sector has discovered opportunities to tackle sustainability challenges by adopting technology for transitioning to circular, greener, and digital systems with reduced environmental impact. Despite promising prospects, the opportunities provided by this paradigm are yet to be fully realized. In this context, design is crucial in enhancing digitally driven production processes for fashion companies within this framework. To explore this, the study suggests an iterative approach to recognizing challenges and opportunities, concentrating on the current alignment with technological advancements. A design-focused strategy aims to devise a comprehensive approach to fashion sustainability and circular economy (CE) principles within the Industry 4.0 framework. The aim is to establish an innovative laboratory model that aids fashion companies in effectively managing the sustainable and digital transition. The study offers insights into potential research opportunities to accelerate the Industry 4.0 transformation in the fashion sector. It envisages a more positive, sustainable, and responsible future by establishing a Circular Fashion-Tech Lab, integrating innovative technologies for sustainable and circular practices in the fashion industry. Full article

The implicit assumption of homogeneity in traditional economics fails to adequately explain the complex and contradictory behavior exhibited by different local governments in China during the land supply process. The issue of land supply is characterized by practical chaos and has fallen into a theoretical research dilemma. Starting from two dimensions of heterogeneity—preferences and income—this study establishes an evolutionary game model of the limited rationality of local governments. It explores the behavioral evolution process of local governments in the context of industrial competition for land supply and its convergence trends. The research findings indicate that the land supply behavior of local governments is primarily determined by the degree of heterogeneity in preferences and income, as well as the level of compensation for losses to cooperative partners and the severity of penalties for non-cooperative behavior. If local governments’ preferences converge towards a certain threshold or if their income continually increases, they are more inclined towards cooperative behavior; otherwise, they tend to act non-cooperatively. If local governments’ revenues are heavily reliant on industrial transfers, they are more likely to engage in non-cooperative land supply behavior. This research offers theoretical insights and policy recommendations to enhance the optimal allocation of land resources in China. Full article

With the continuous development of information technology and the rapid increase in new users of social networking sites, recommendation technology is becoming more and more important. After research, it was found that the behavior of users on social networking sites has a great correlation with their personalities. The five characteristics of the OCEAN personality model can cover all aspects of a user’s personality. In this research, a micro-directional propagation model based on the OCEAN personality model and a Stacked Denoising Auto Encoder (SDAE) was built through the application of deep learning to a collaborative filtering technique. Firstly, the dimension of the user and item feature matrices was lowered using SDAE in order to extract deeper information. The user OCEAN personality model matrix and the reduced user feature matrix were integrated to create a new user feature matrix. Finally, the multiple linear regression approach was used to predict user-unrated goods and generate recommendations. This approach allowed us to leverage the relationships between various factors to deliver personalized recommendations. This experiment evaluated the RMSE and MAE of the model. The evaluation results show that the stacked denoising auto encoder collaborative filtering algorithm can improve the accuracy of recommendations, and the user’s OCEAN personality model improves the accuracy of the model to a certain extent. Full article

We propose a framework that integrates norm entrepreneurship from human society into the dynamics of an agent society. Most work in agent coordination in a distributed environment studies norms that are provided to agents as part of their specification or distributed from centralised agents. Exploring an alternate perspective, we focus on peer-to-peer interaction by providing the agents with the freedom to initiate norm creation in demanding situations like a potential interference. This paper explores the concept of norm entrepreneurship through proactive establishment and emergence of norms by agents. A common approach in prior work focuses on coordination problems that are reduced to simple game theory models involving the simultaneous performance of a single action by each agent. Instead, we define the concept of a local coordination plan (LCP), which is a sequence of actions from each agent to cope with an interference in their normal course of action. We identify LCPs across various scenarios and abstract these plans using coordination state machines (CSMs). A coordination state machine contains a separate state machine for each agent where the states encapsulate the potentially constrained and suboptimal movement options agents have at a given time. We also explore how multiple LCPs lead to a coordination state machine of the same format and how a coordination state machine can abstract across multiple scenarios. Full article

Enterprise Digital Intelligence Transformation is based on the Digital Conversion of information and process service upgrading, further touching the enterprise’s core business, with the goal of building a new business model of Digital Intelligence Transformation at a higher level. Based on dynamic capability theory, this paper conducts an in-depth study on the mechanism of enterprise Digital Intelligence Transformation and firm performance. This paper selects manufacturing companies listed in China’s Shanghai and Shenzhen A-shares from 2013 to 2022 as the research sample, and analyzes and tests the sample data using empirical research methods in order to explore the actual impact of Digital Intelligence Transformation on firm performance, including the specific pathways of action and moderating effects. This study helps enterprises to positively face the megatrend of Digital Intelligence Transformation and upgrading and the challenges it brings, and to grasp the new opportunities in the digital era. This study finds that enterprises carry out digital empowerment transformation and development strategies, and implement information Digital Conversion, service upgrading, and Digital Intelligence Transformation to promote firm performance to different degrees. Enterprise innovation resilience has a mechanism effect between information digitalization conversion enterprise performance and process service upgrading enterprise performance. The higher the environmental uncertainty, the greater the positive contribution of information digitalization to firm performance. Digital Conversion is the base and service upgrading is the process. The current sample enterprises have limited years of data collection, and most of them have only carried out the strategic implementation of Digital Conversion or servitization, and have not reached the high-level stage of digital and intellectual transformation. Therefore, it is found that enterprise innovation resilience has not yet shown a significant role mechanism effect between digital–intelligent transformation and enterprise performance at present. And environmental uncertainty has not yet shown a significant moderating effect in the stage of Servitization Upgrading and digital–intelligent transformation. The marginal contributions of this paper are mainly reflected in the following: (1) This study introduces the dynamic capability theory to explore the role of Digital Intelligence Transformation (Digital Conversion + service upgrading) on enterprise performance. (2) This paper investigates the role of Digital Intelligence Transformation in influencing the performance of enterprises from the Digital Conversion and service upgrading phases, and enriches the relevant role and regulatory mechanisms. (3) This study provides new ideas and strategic suggestions on Digital Intelligence Transformation for enterprises with different factor intensities, at different stages of development, and in different regions. Full article

New urbanization in counties and the logistics industry are closely related and are essential in promoting regional economic and social development. There are specific challenges and obstacles to revealing the interaction mechanism and system state measurement between the two. This paper explains the two coupling mechanisms and constructs the evaluation index system. It proposes a new analysis method based on the coupling coordination degree model, the spatio-temporal evolution analysis, and the grey prediction model. The goal is to learn more about and fully realize the coordinated development mechanisms of the two. It then uses the Hebei province of China as an example to empirically analyze its systematic cross-sectional data from 2013 to 2022. Research findings: (1) In Hebei province, the new urbanization in counties and the logistics industry have a systematic coupling relationship. However, the logistics industry’s comprehensive development level is relatively lagging. The two systems have been at a high-level coupling stage for the last decade and maintain a high coupling status. The coupling coordination has shown significant improvement. (2) Although the geographical distribution of the coupling and coordination degree of the new urbanization in counties and logistics industry system has short-term volatility, it is still stable in the long term and presents economic-related spatial characteristics. (3) Over the next five years, the coupling coordination of 11 cities in Hebei province will steadily grow. There will be greater harmonization between the two systems. (4) From the analysis results, the evaluation index system of the coupled system constructed is scientific and reasonable. The analysis method can not only measure the system’s coupling degree, but it can also predict the development trend and analyze the spatial evolution. The technique has novelty and validity, which can be used as a reference for analyzing and making decisions about similar systems. Full article

This study used a technology–organization–environment (TOE) framework as the primary analytical tool to explore the burgeoning capabilities of blockchain technology in the area of 5G ceramic antenna development. A causal loop diagram (CLD) analysis is used to further clarify the complex dynamics and feedback mechanisms, and the impact of blockchain on the design, production, and deployment phases of ceramic antennas, which play a pivotal role in the development of 5G communications, is studied. We found that blockchain’s unique features, including its immutable ledger and decentralized architecture, have the potential to significantly improve the transparency, security, and efficiency of the ceramic antenna manufacturing process. Technology (T), organization (O), and environment (E) were used as the top factors, and the subfactors of TOE were selected and analyzed using the Analytic Hierarchy Process (AHP) by CLD. The AHP analysis was used to evaluate the relative importance of various internal and external factors affecting the adoption of blockchain technology. The integration of the TOE framework with AHP and CLD provides a comprehensive analytical tool that enhances the understanding of the complex dynamics in the 5G ceramic antenna manufacturing process. This methodological approach not only clarifies the interactions between technological, organizational, and environmental factors but also facilitates strategic decision-making through a structured evaluation of these factors. The AHP analysis showed that technical factors are the most important in the TOE analysis of 5G ceramic antenna manufacturing, with a weight of 0.427, which indicates the important role of technical factors in the development of ceramic antenna production. In addition, environmental and organizational factors were given weights of 0.302 and 0.271, respectively, confirming the importance of technological innovation and internal process optimization. In the subfactor of Technology (T), ‘Blockchain Technology’ has the highest ranking among the subfactors, with a global weight value of 0.129, emphasizing the importance of blockchain technology. This study explored the technical and organizational complexities of introducing blockchain technology into the 5G ceramic antenna manufacturing industry and, through an in-depth investigation of the potential benefits of such integration, it aims to propose new approaches to improve quality control and manufacturing efficiency. The research findings aim to contribute to the sustainable growth of the telecommunications industry by providing strategic recommendations for the application of blockchain technology in the production of 5G ceramic antennas. Full article

Relieving the emotions of the public through government response is an important part of government emergency management. How governments respond in different situations can avoid stimulating negative emotions during emergencies? This paper analyzes the problem from the perspective of configuration; that is, this paper explores the combined effects of multiple factors on emotions. We construct the theoretical framework “Situation-Responder-Content” from situation, responder and response content, and use the government microblogs (n= 1517) from 23 major production accidents in China for the discussion with the use of fuzzy set qualitative comparison analysis (fsQCA). According to the results, the effective response types of different agencies in emergencies are summarized. Local authorities can respond in ways that include “Measures type” and “Measures-Emotion type”. Functional agencies can respond through “Measures type”, “Measures-Emotion type” and “Government feature-Driven” type. This study emphasizes that government response in emergencies is a systematic process. Responsive agencies need to release effective information on the basis of fully considering the situation and other factors. Configuration analysis should also be an important direction in government response research, which is helpful to the practice of government response in emergencies. Full article

This qualitative study employs a thematic network analysis of the literature to explore the implications and evaluations of the ‘Great Reset’. Delving into how complexity theory, especially the principles related to complex systems and coordination, can be applied, this research aims to promote resilience and facilitate comprehensive systemic transformation. This study identifies critical ‘Great Reset’ components that align or conflict with stakeholders’ needs, objectives, and capabilities by examining how diverse stakeholders function within intricate and interconnected systems. Full article