Rising geopolitical risks have become a defining feature of the global business environment, yet how firms—particularly those from latecomer economies—adjust their innovation strategies under such conditions remains insufficiently underst...
Financial systems are quintessential complex adaptive systems, where stability emerges from the dynamic interactions among multiple subsystems and regulatory components. Grounded in systems theory, this study re-frames the establishment of China&rsqu...
The paper introduces a novel intelligent modeling system of a railway cargo delivery which combines queuing theory and station-level technological activities to model the manner in which re-handling and waiting processes produce delivery delays. The...
This study investigates the impact of Environmental Policy Stringency (EPS) on GVC functional specialization. We find that EPS promotes high value-added, low-carbon upstream and downstream specialization—supporting the “Porter Hypothesis...
This study examines the systemic impact of mobile device usage on sleep health and overall wellbeing through a systems thinking (ST) approach. By employing a systems approach, this study offers a novel contribution to this area by exploring the intri...
Literature reviews are a cornerstone of doctoral research in general, and of economic and business research, in particular. However, the exponential growth of scientific publications has made comprehensive and transparent reviews increasingly difficu...
In the dynamic and service-intensive context of the tourism and hospitality industry, organizational innovation performance (OIP) is a critical determinant of competitiveness. This study investigates the systemic role of knowledge management capabili...
The Case Management Model and Notation (CMMN) supports the modeling of dynamic, semi-structured, and knowledge-intensive processes, but its adoption remains limited due to conceptual and visual shortcomings. Using a Design Science Research Method (DS...
Although research on hotel service robots has been continuously increasing, the existing literature still lacks a systematic exploration of the multiple concurrent mechanisms involved in the formation of user experience. Based on the theory of value...
Although innovation is widely recognized as an important driving force for enterprise development, there may not be a simple linear relationship between innovation and enterprise value. An in-depth investigation of the relationship between enterprise...
To explore the relationships among factors influencing overall comfort in aircraft cabins, a scale-based method was developed. First, a weighted multi-level measurement model was used to determine the hierarchical relationships between comfort factor...
Procedural approaches have long been used in game development to reduce authoring costs and increase content diversity; however, traditional rule-based systems struggle to scale narrative complexity, whereas recent large language model (LLM)-based me...
Networked systems operating under uncertainty require decision making frameworks capable of balancing nominal efficiency and robustness against correlated risks. In this work, we study a distributionally robust weighted dominating set problem as a sy...
As an emerging transportation mode, the integrated operation of passenger and freight services on urban–rural bus routes plays a pivotal role in promoting resource circulation between urban and rural areas. In recent years, declining bus riders...
Consumer attitude uncertainty can hinder disruptive innovation (DI) diffusion in the new energy vehicle (NEV) market and weaken enterprises’ incentives to adopt new technologies. This study develops a dual-layer coupled network model linking co...
Ensuring the reliable, auditable, and privacy-oriented distribution of donations in disaster logistics constitutes a critical challenge due to multi-stakeholder coordination difficulties and the risk of misuse. This study presents a modular architect...
The evaluation of China’s Low-Carbon City Pilot Policy (LCCP) is critical to understanding its role in mitigating climate challenges associated with carbon emissions. While most existing research has concentrated narrowly on emission reductions...
As a critical infrastructure carrier underpinning the cross-regional circulation of data elements within socioeconomic systems, intelligent computing centres (ICCs) confront a pivotal practical challenge amid the transition to a green economy: whethe...
Alumni relationships are essential social capital that are significant in companies’ resource acquisition and information sharing. Using 2018 data from Chinese listed companies, this study examines the impact of the chairperson–alumni net...
Artificial intelligence (AI) is increasingly reshaping organizational dynamics, not only through efficiency gains but by influencing how work is structured, interpreted, and experienced. In healthcare, where professional team stability is crucial, th...
In today’s increasingly fierce global competition in science and technology, China’s chip industry is facing a global technology blockade and market containment. Against this backdrop, research on the resilience of China’s chip indu...
The safe and efficient integration of small unmanned aircraft systems (sUAS) into the National Airspace System (NAS) requires a systems-based understanding of the interrelations among human, technological, and regulatory components. Existing Federal...
This study examines the differential effects of three dimensions of dynamic capabilities on innovation performance and investigates how ambidextrous learning (exploratory and exploitative learning) moderates these relationships. Drawing on survey dat...
Against the backdrop of China’s commitment to achieving carbon peaking by 2030 and carbon neutrality by 2060, inter-provincial carbon emissions form a complex interconnected spatial network—clarifying its operational mechanisms is crucial...
Ecological citizenship offers a framework for understanding how individuals translate environmental knowledge and concern into civic environmental engagement. However, the cultural mechanisms shaping this process remain understudied, particularly in...
Driven by the “dual carbon” goal and the strategy for cultivating new productive forces, China’s economy is undergoing a crucial transformation from high-speed growth to high-quality development. As a typical high-energy consumption...
Multiple factors, including global climate change and rising sea levels, increase the frequency and intensity of seawater intrusion. However, most previous studies have not regarded seawater intrusion as a typical accident for systematic safety risk...
Firms pursuing organizational resilience face competing demands: sustaining growth while reducing performance volatility. This study examines how strategic orientations shape trade-offs between these resilience dimensions and how digital technology b...
Model-Based Systems Engineering (MBSE) originated in aerospace engineering and has emerged as a promising approach in other fields for designing, analyzing, and managing complex interdisciplinary systems throughout their entire life cycle. While MBSE...
In the era of globalization, Chinese firms increasingly leverage sequential cross-border mergers and acquisitions to navigate complex international environments. Understanding the sustained impact of this strategy requires a holistic view beyond isol...
Accurate reconstruction of train collision accidents is essential for understanding impact conditions, assessing crashworthiness, and supporting safety improvements. This study proposes a surrogate-based optimization framework for reconstructing stru...
Modern telemedicine requires advanced analytical solutions for efficient management of chronic diseases. This study presents the development of a comprehensive business intelligence (BI) framework using Microsoft Power BI, applied to the optimization...
In the era of the digital economy, enhancing the resilience of industrial chains is a core task in building a modern industrial system. This paper views the cotton industrial chain as a system composed of multiple segments and entities, aiming to exp...
This study proposes a stage-aware governance framework for large language models (LLMs) that structures human oversight and accountability across different decision stages in AI-assisted literature review systems. Large language models (LLMs) are inc...
Intelligent systems draw much of their reliability from the quality of their ontologies; however, manual ontology assessment remains patchy, time-consuming, and difficult to scale. To address these limitations, this paper proposes a domain-independen...
Small and medium-sized enterprises (SMEs) increasingly rely on digital technologies in everyday operations, often without having sufficient resources or structured mechanisms to manage the cyber risks that accompany this dependence. As digitalization...
The development of modern production systems involves numerous interdependent disciplines, heterogeneous data sources, and frequent design iterations, making the conceptual design phase particularly complex and error-prone. Model-Based Systems Engine...
As the “brain” of the information industry and modern manufacturing, chips have emerged as a focal point in global competition over critical technologies. Based on global chip trade data from 2010 to 2023, this study employs social networ...
In the face of mounting complexity in container terminal operations, the selection of an effective information system is paramount. The TOS (Terminal Operating System) is the most significant of all the information systems in existence for terminals....
In recent years, the operational performance of agricultural enterprises has been influenced by both natural conditions and market environments, resulting in high uncertainty and volatility. When performance falls below expectations, agricultural ent...
To address the limitations of traditional tourism demand forecasting models in leveraging multi-source data and their lack of interpretability, this study proposes an integrated multi-data-driven interpretable forecasting framework incorporating hist...
Based on Conservation of Resources (COR) theory and a socio-technical systems perspective, this study examines how technology-enacted abusive supervision (TAS) influences employees’ counterproductive work behavior (CWB) in digitalized organizat...
This paper investigates the physiological responses of individuals driving both on a real route and within a vehicle simulator designed as a digital twin of that route. The analysis of observed data patterns in stress response bio signals provides su...
Public passenger transport systems increasingly face the challenge of balancing economic efficiency with ecological sustainability, reflecting both policy objectives and passenger expectations. This study examines passenger perceptions of the economi...
To address the safety and efficiency challenges in planning emergency evacuation routes for personnel in complex environments, this study proposes an integrated and improved ant colony optimization (ACO) with a genetic algorithm (GA). First, an emerg...
Grounded in knowledge recombination theory and innovation tension theory, this study develops a novel measurement framework for scientific and technological innovation (STI) risks that captures the dynamic and systemic equilibrium between novelty and...
The conceptual foundation of this research is the idea of convergence between such development directions of modern production systems as digital design tools and sustainable development. The problem lies in searching for the most effective tools, so...
Given the increasing demand for rapid emergency management decision-making, which must be both timely and reliable, even slight delays can result in substantial human and economic losses. However, current systems and recent state-of-the-art work ofte...
Generative artificial intelligence (GenAI) is increasingly transforming creative industries through its ability to generate high-quality content, raising critical questions about authorship, ownership, and the future of creative labor. This paper add...
As social robots increasingly enter public environments, their acceptance depends not only on technical robustness but also on ethical integrity, accessibility, transparency, and consistent system behaviour across diverse users. This paper reports an...
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