Systems, Volume 13, Issue 9

This study examines the impact of corporate social responsibility (CSR) decoupling on investment efficiency through the lens of systems thinking, using 34,143 firm-year observations from Chinese listed firms between 2009 and 2022. CSR decoupling is c...

In recent years, enterprise digitalization has garnered significant attention in business practices, yet its impact on environmental, social, and governance (ESG) performance remains underexplored. This study focuses on two core questions: (1) How ca...

This study is based on data from 15,436 firm-year observations of Chinese A-share listed companies during the period 2009–2022 and examines the impact of ESG on firm value and the mediating role of corporate innovation capability. Firm value is...

Most small- and medium-sized manufacturers face challenges in adopting artificial intelligence (AI) in production systems due to limited domain expertise and challenges in making interrelated decisions. This decision-making process can be characteriz...

The progression of generative artificial intelligence (GenAI) has lowered the technical barriers for consumers to independently customize clothing. Its profit potential has driven fashion brands to adopt GenAI-based interactive customization services...

With accelerated urbanization and the pursuit of the “dual carbon” goals, shared bicycles have re-emerged as a green travel option. This study focuses on the central urban area of Nanjing and develops a carbon emissions reduction (CER) es...

Rear-end collisions at unsignalized intersections remain a persistent issue in urban traffic environments, particularly at stop-controlled junctions. This study develops a real-time predictive model aimed at identifying potential rear-end conflicts,...

The entrepreneurial ecosystem (EE) concept is widely popular, but it has recently attracted criticism. This paper aims to critically construct this tension and build on the contributions of complexity economics, which are currently limited in entrepr...

Software development projects are highly susceptible to risks during the design phase, which plays a crucial role in shaping the architecture, functionality, and quality of the final product. Decisions made during the design stage significantly affec...

As an integrated socio-technical system linking information technology with industrial infrastructure, the Industrial Internet is increasingly central to urban digital transformation. However, current research largely centers on national or sectoral...

With the acceleration of urbanization, Autonomous-rail Rapid Transit (ART), as a new type of public transportation mode, plays an important role in alleviating traffic congestion and optimizing urban transportation structure. However, the operation o...

Maintaining operational efficiency in distributed solar energy systems requires intelligent coordination of inspection tasks and workforce resources to handle diverse fault conditions. This study presents a bi-level multi-objective optimization frame...

Effective control of collusive behavior in the government bidding process is a prerequisite for promoting the high-quality development of social economy, consolidating the results of the anti-corruption struggle and the smooth operation of the projec...

The digital and green transformation (DGT) has emerged as an essential strategy for companies to enhance competitiveness and achieve sustainable development. Current research has primarily concentrated on the effects of either digital or green transf...

The growing prevalence of digital labor platforms has fundamentally transformed business models by creating interconnected value systems that redefine how work is organized, delivered, and monetized in today’s digital economy. This study examin...

The internet’s evolution as a global communication nexus has enabled unprecedented connectivity, allowing users to share information, media, and personal updates across social platforms. However, these platforms also amplify risks such as cyber...

The integration of renewable energy into the grid has led to problems such as low utilization rate of energy storage resources (“underutilization after construction”) and insufficient system stability. This paper studied the co-evolution...

Purpose: The construction industry is now experiencing a thorough transformation through digital technologies, especially with building information modeling (BIM). Despite significant BIM advantages, most construction projects suffer from low BIM per...

Improving urban energy efficiency is essential for addressing energy shortages and environmental pollution, thereby facilitating a win–win outcome for both the economy and the environment. As an emerging financial force, fintech is essential fo...

This study examined the relationship between residential environment satisfaction, neighbor relations, and the intention of continuous residence. Previous research has not comprehensively analyzed the combined effects of these factors. Accordingly, t...

Optimizing warehouse operations is a strategic priority for ensuring the timely and efficient flow of materials in industrial environments. In contexts with limited digital infrastructure, organizations often face persistent challenges such as ineffi...

Background: The intersection of aging and disability is an important social issue. The rehabilitation system of older adults with disabilities is a complex social system including various social units. This study aims to investigate the impact of the...

This study explores the innovative application of Artificial Intelligence (AI) in transforming data engineering practices, with a specific focus on optimizing data modeling and data warehouse automation for Business Intelligence (BI) systems. The pro...

This research analyzes optimal information-sharing (IS) mechanisms in online closed-loop supply chain (CLSC) systems. In contrast to offline supply chains, online retailers hold a significant informational edge over their upstream counterparts due to...

Urban historic districts play a vital role in shaping the cultural identity and heritage of cities. However, many of these areas face challenges such as aging buildings and deteriorating infrastructure. At the same time, the increasing frequency of e...

With the development of digital technology, although local governments have been using digital means to improve the quality of public services, traditional statistical methods have limitations in processing complex, high-dimensional data and revealin...

Understanding the spatiotemporal dynamics and driving forces of ecosystem service values (ESVs) is essential for managing complex socioecological systems, particularly in biodiversity-rich mountainous protected areas. This study investigates the evol...

Co-creation emphasizes the active involvement of stakeholders in the design and delivery of public services. Despite its potential benefits, many public organizations struggle to implement co-creation because they are unclear about their readiness. T...

The world and its operations are becoming increasingly risky and brittle, with organizations and communities facing escalating threats from both internal and external sources. Risk management and business systems exist to help navigate both acute sho...

This study explores the subjective perceptions of project managers regarding barriers to implementing sustainable project management (SPM). Using Q-methodology and grounded in the theory of planned behavior (TPB), 28 project managers across diverse i...

The emergency industry refers to a comprehensive industrial system of products, technologies, and services aimed at preventing, responding to, and mitigating emergencies. The emergency industry is primarily oriented toward disaster prevention and mit...

Accelerated digital transformations and the evolution of consumer behavior in recent years underscore the need for a systemic perspective in marketing analytics to better comprehend the complex interplay between technology, data, and the profound cha...

This study presents the development of a Digital Twin (DT) framework that is capable of generating and adjusting simulation models of production processes and systems automatically and in real-time. A Machine Vision (MV) system is used to detect newl...

Intelligent autonomous systems in open-pit mining operations face critical challenges in perception and decision-making due to sensor-based visual degradations, particularly lens soiling and sun glare, which significantly compromise the performance a...

The increasing prevalence of mental health disorders highlights the need for innovative and accessible interventions. Although existing digital meditation applications offer valuable basic guidance, they often lack interactivity, real-time personaliz...

Autonomous navigation in subterranean mines is hindered by deformable terrain, dust-laden visibility, and densely packed, safety-critical machinery. We propose a systems-oriented navigation framework that embeds semantic priorities into reactive plan...

The exponential growth of AI applications has intensified the demand for efficient inference hardware capable of delivering low-latency, high-throughput, and energy-efficient performance. This study presents a systematic, empirical comparison of GPU-...

In automated container terminals (ACTs), rolling bearings of equipment serve as crucial power transmission components, and their performance directly determines the operational efficiency, reliability, and service life of the entire equipment. Rollin...

In the contemporary economic landscape shaped by globalization and digital transformation, patent-intensive industries have emerged as critical engines for enhancing national competitiveness. This study analyzed 98,464 collaborative patent applicatio...

With the tightening of environmental regulations, the need to identify tools that foster the development of sustainable systems is growing. The shift toward closed-loop, bio-like systems promotes the creation of nature-inspired systems. However, the...

Since the implementation of the Belt and Road Initiative (BRI) in 2013, Chinese enterprises have expanded port and industrial investments along the Maritime Silk Road (MSR), forming a mutually reinforcing coupled system. Port investments reduce trans...

A complex network topology marked by co-competitive relationships between manufacturing enterprises can meaningfully influence low-carbon technology selection, thereby affecting the low-carbon technology diffusion process. This study develops a small...

This study investigated the factors influencing user acceptance of the Navigate on Autopilot (NOA) functionality in new energy vehicles in China. An extended Technology Acceptance Model (TAM) was developed, incorporating additional factors such as so...

Addressing the challenges of insufficient incentives, weak constraints, and superficial adoption in promoting human–robot collaboration (HRC) in the construction industry, this study develops a tripartite evolutionary game model among governmen...

Effective communication between construction sites and engineering or architectural offices is critical to the success of construction projects, particularly in the maintenance of critical infrastructure such as bridges. In scenarios where distance l...

Societal challenges are inherently complex and multi-tiered, arising from the interplay of diverse stakeholders with a spectrum of purposes and different perceptions and expectations, interdependent systems, and dynamic contextual factors that transc...

The main objective of this paper is to examine the factors influencing investor intention to adopt robo-advisory services in Saudi Arabia, with a particular focus on sustainability and platform interface quality (PIQ) within a socio-technical framewo...

Against the backdrop of global sustainable development and the fast-growing digital economy, aligning corporate ESG practices with digital transformation is key for enterprises’ high-quality development, yet existing studies have not fully expl...

The growing demand for sustainable urban logistics highlights the need for innovative, low-emission delivery solutions, particularly in the context of small-scale urban food producers. These producers often face logistical challenges in reaching cons...

Building a causal-loop diagram (CLD) is central to system-dynamics modeling but demands domain insight, the mastery of CLD notation, and the ability to juggle AI, mathematical, and execution tools. Pipeline Algebra (PA) reduces that burden by treatin...