Social Science and Management
type: channel
description: Social Science and Management (SSM) is an international peer-reviewed, open access journal.
publisher: UPub Science
language: en
publication name: Social Science and Management
issn: 3007-6854
items: FROM DIGITALIZATION TO SERVITIZATION: UNRAVELING MECHANISMS AND PATHWAYS IN MANUFACTURING FIRM TRANSFORMATION
items: THE SUSTAINABILITY OF DIGITAL MARKETING BASED ON AFRICAN-AMERICAN CONSUMERS-TAKING TIKTOK AMERICAN DISTRICT WIGS AS AN EXAMPLE
items: ZHAOQING CITY’S “DUAL-TRANSFORMATION SYNERGY” DEVELOPMENT MECHANISM
items: THE SOCIO-ECONOMIC AND PUBLIC HEALTH IMPACTS OF THE NATIONAL CENTRALIZED DRUG PROCUREMENT POLICY
items: THE IMPLEMENTATION PATHS AND EFFECTIVENESS ANALYSIS OF GREEN LOGISTICS: A CASE STUDY
items: RESEARCH REPORT ON CENTRALIZED PROCUREMENT OF HEALTHCARE EQUIPMENT AND INDUSTRY TRENDS
items: COUNTERFACTUAL REASONING IN SUPPLY CHAIN DISRUPTION PREDICTION: A CAUSAL GRAPH NEURAL NETWORK APPROACH WITH MULTIMODAL EXTERNAL SIGNALS
items: GRAPH NEURAL NETWORKS FOR REAL-TIME MALWARE DETECTION IN ENTERPRISE ENVIRONMENTS
items: THE PATH OF PSYCHOLOGICAL CAPITAL’S INFLUENCE ON THE SUBJECTIVE SENSE OF SHARED PROSPERITY AMONG RESIDENTS IN HENAN PROVINCE
items: CONNECTING DIMINISHING FERTILITY RATES TO PHILOSOPHY, AND ITS REAL-LIFE IMPLICATIONS
items: FROM SIDE HUSTLES TO VENTURE CREATION: AN INDIVIDUAL-BASED MULTI-VALUE CONFIGURATION THEORY OF ENTREPRENEURSHIP
items: PREDICTION OF LOGISTICS DEMAND IN GUANGZHOU BASED ON GREY MARKOV MODEL
items: A DEA-MALMQUIST ANALYSIS OF MILITARY-CIVILIAN COLLABORATIVE INNOVATION EFFICIENCY
items: THE PHASE-BASED DEVELOPMENT OF TRANSLATION COMPETENCE AND ITS PEDAGOGICAL IMPLICATIONS
items: DYNAMIC CREDIT PRICING MODEL FOR BUYER-PAID-INTEREST SUPPLY CHAIN FINANCING IN EMERGING PLATFORM ECONOMIES
items: MEASUREMENT AND ANALYSIS OF DIGITAL AGRICULTURE DEVELOPMENT: A CASE STUDY OF ANHUI PROVINCE
items: EVALUATING THE EFFECTIVENESS OF A PROJECT MANAGEMENT EDUCATIONAL TRAVEL IN HONG KONG REGION: AN APPLICATION AND VALIDATION OF THE KIRKPATRICK’S FOUR-LEVEL MODEL
items: HOW CHARACTER FLAWS IN DEUTERAGONISTS AMPLIFY THE CHARACTER ARC OF PROTAGONISTS: VINCE GILLIGAN’S REVOLUTIONARY APPROACH TO CHARACTER DEVELOPMENT
items: THE ISSUES OF ACCOUNTING RECOGNITION AND MEASUREMENT OF PUBLIC DATA ASSETS
items: THE IMPACT OF DIGITAL MERGERS AND ACQUISITIONS ON TOTAL FACTOR PRODUCTIVITY UNDER THE CULTIVATION OF NEW QUALITY PRODUCTIVITY
items: TEAM SIZE AS A MODERATING FACTOR IN REMOTE PROJECT MANAGEMENT: EVIDENCE FROM SAUDI ARABIA
items: THE CONSTRUCTION PATH OF UNIVERSITY INNOVATION AND ENTREPRENEURSHIP PLATFORMS FROM THE PERSPECTIVE OF CHINA-ASEAN COOPERATION
items: AUTODETECT: AN ACTOR-CRITIC REINFORCEMENT LEARNING FRAMEWORK FOR FINANCIAL FRAUD DETECTION
items: INTERNAL CONTROLS, GOVERNANCE STRUCTURES, AND FINANCIAL RISK: A TRIADIC ANALYSIS IN LISTED COMPANIES
items: COORDINATED DEVELOPMENT OF CROSS-BORDER E-COMMERCE INDUSTRY AND STRATEGIC EMERGING INDUSTRIES IN JIANGXI PROVINCE
items: RESHAPING THE COMPETENCY STRUCTURE AND TRANSFORMING THE CULTIVATION MODEL OF SCIENTIFIC AND TECHNOLOGICAL TALENT IN THE ERA OF ARTIFICIAL INTELLIGENCE
items: https://upubscience.com/ssm/article/view/1389
items: DESIGNING ADAPTIVE MARKETING INTERVENTIONS USING ARTIFICIAL INTELLIGENCE
items: THE CAUSES AND RESOLUTION OF GRASSROOTS BURDEN FROM THE PERSPECTIVE OF FIELD THEORY——TAKING THE NEW ROUND OF TOWNSHIP INSTITUTIONAL REFORM IN L TOWN OF C CITY AS AN EXAMPLE
items: EXECUTIVE COMPENSATION, INNOVATION INVESTMENT, AND CORPORATE PERFORMANCE

FROM DIGITALIZATION TO SERVITIZATION: UNRAVELING MECHANISMS AND PATHWAYS IN MANUFACTURING FIRM TRANSFORMATION
type: item
description: Manufacturing enterprises are the cornerstone of China’s national economy, and servitization has emerged as a vital pathway for their transformation, upgrading, and high-quality development. In the context of building a manufacturing powerhouse, leveraging digital technologies to enable servitization transformation has become a key strategic focus. This study adopts a bibliometric approach and utilizes CiteSpace to conduct a visual analysis of both domestic and international literature on digitally enabled servitization transformation in manufacturing enterprises. The objective is to clarify the research scope, trace the evolutionary trajectory, and identify regional distributions within the field. Digital empowerment is identified as a current research hotspot. Through keyword co-occurrence and cluster analyses, the study investigates three core research questions: What is digital servitization? Why does digital empowerment matter for servitization transformation? How does it facilitate upgrading? The findings reveal three primary research themes—theoretical foundations, effectiveness, and pathways of digitally enabled servitization—offering a structured overview of the field’s development and contributing to a deeper understanding of its underlying mechanisms. These insights provide valuable guidance for future research and strategic decision-making in manufacturing servitization.
subject: Research Article
  topic: section
subject: Servitization transformation of manufacturing enterprises
  topic: keywords
subject: Digitalization
  topic: keywords
subject: Bibliometrics
  topic: keywords
subject: Knowledge mapping
  topic: keywords
creator: RuoYu Chang
rights: Copyright (c) 2026 RuoYu Chang https://creativecommons.org/licenses/by/4.0
date: 2026-03-11
publication date: 2026-03-11
starting page: 52
ending page: 63
doi: 10.61784/ssm3080

THE SUSTAINABILITY OF DIGITAL MARKETING BASED ON AFRICAN-AMERICAN CONSUMERS-TAKING TIKTOK AMERICAN DISTRICT WIGS AS AN EXAMPLE
type: item
description: Under the background of the deep integration of the global digital economy and cross-border e-commerce, the wig market in the U.S. shows unique growth momentum and market complexity with high reliance on digital marketing. As a typical representative of China's wig industry going overseas, the company has relied on TikTok and other platforms to build a digital marketing ecosystem, achieving an average annual revenue growth of 30% in the U.S. market. Based on a three-dimensional model of economy, environment, and society, this paper analyzes wigs in TikTok's live-broadcast marketing, UGC content segmentation, and green brand narratives. It addresses the challenges of cultural adaptation and traffic involvement faced by African-American consumers. The study finds that accurate, data-driven, localized product development, multi-platform, synergistic omni-channel operations, and social responsibility integration are the core path to digital marketing sustainability. The findings provide theoretical guidance for the digital transformation of cross-border e-commerce companies in culturally sensitive markets and validate the practical value of the "Technology Enablement - Value Symbiosis - Ecological Construction" model.
subject: Research Article
  topic: section
subject: Wigs
  topic: keywords
subject: African-American consumers
  topic: keywords
subject: Digital marketing
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Zhen Zhang
creator: ZhuoXian Hong
creator: JiaHuan Zhang
creator: GuoHui Zhou
rights: Copyright (c) 2026 Zhen Zhang; ZhuoXian Hong; JiaHuan Zhang; GuoHui Zhou https://creativecommons.org/licenses/by/4.0
date: 2026-02-09
publication date: 2026-02-09
starting page: 33
ending page: 38
doi: 10.61784/ssm3078

ZHAOQING CITY’S “DUAL-TRANSFORMATION SYNERGY” DEVELOPMENT MECHANISM
type: item
description: Amid the accelerated restructuring of the Guangdong-Hong Kong-Macao Greater Bay Area supply chain network, the competitive advantages of node cities are gradually shifting from factor costs to capability embedding and functional stratification. This study constructs an analytical framework—“supply chain network restructuring—dual transformation synergy—structural leap”—based on system coupling theory. Using entropy weight analysis and the coupling coordination index model, it measures the levels of digitalization and green development and their synergy status across 21 cities in Guangdong Province. Focusing on Zhaoqing City, it identifies its structural potential and the constraints on transformation. Findings reveal a pronounced gradient in Guangdong's dual-transition coordination, with coupling coordination degree ranging from 0.725 to 0.191 on average, forming a pyramid-shaped structure characterized by “core polarization—secondary core transition—peripheral reception.” Shenzhen and Guangzhou form a highly synergistic core zone, while Dongguan and Foshan are in the phase of functional enhancement. Most cities remain in the structural adjustment phase. Zhaoqing exhibits a coupling coordination index of only 0.146, with its digitalization index significantly lower than its greening index, resulting in a structurally asymmetric state of “relative green leadership—marked digital lag.” Its relative gap coefficient is 0.723, indicating a pronounced gradient fault line relative to core cities. From a supply chain embedding perspective, Zhaoqing's insufficient coordination stems from inadequate depth of digital capability embedding and limited spillover absorption capacity. This study provides quantitative evidence to identify the structural positions and transformation pathways of peripheral cities during regional network restructuring.
subject: Research Article
  topic: section
subject: Greening
  topic: keywords
subject: Digitalization
  topic: keywords
subject: Dual-transformation coordination
  topic: keywords
subject: Zhaoqing city
  topic: keywords
subject: Structural leap
  topic: keywords
creator: ZiLing Wang
creator: YongXin Peng
creator: LianHua Liu
rights: Copyright (c) 2026 ZiLing Wang; YongXin Peng; LianHua Liu https://creativecommons.org/licenses/by/4.0
date: 2026-03-06
publication date: 2026-03-06
starting page: 39
ending page: 51
doi: 10.61784/ssm3079

THE SOCIO-ECONOMIC AND PUBLIC HEALTH IMPACTS OF THE NATIONAL CENTRALIZED DRUG PROCUREMENT POLICY
type: item
description: Purpose: Under the background of the regular implementation of the National Centralized Drug Procurement (NCDP) policy, this study aimed to assess the impacts of the NCDP policy on drug utilization and overall healthcare services in county-level medical institutions, as well as to probe into the influencing factors of changes in drug utilization. Method: A pre-post study was applied using inpatient data from a county-level medical institution in Nanjing. The drug utilization behavior of medical institutions regarding 88 commonly used policy-related drugs (by generic name, including bid-winning and bid-non-winning brands) was analyzed, and the substitution of bid-winning brands for brand-name drugs after policy intervention was evaluated. Results: After policy intervention, 43.18% of policy-related drugs realized the substitution of bid-winning brands for bid-non-winning brands (6.82% of complete substitution, 36.36% of partial substitution). Meanwhile, 40.90% of policy-related drugs failed to realize brand substitution. Multiple factors affected brand substitution, including: (1) Policy effect: Brand substitution was more pronounced after the intervention of the first and third rounds of NCDP. (2) Drug market competition: The greater the price reduction of bid-non-winning brands, and the more drugs available for the same indication, the more likely that medical institutions would continue using the same brands as they did before policy intervention. (3) Previous drug utilization of medical institutions: Brand substitution was more evident in drugs with a large number of prescriptions and weak preference for brand-name drugs. Conclusion: The NCDP policy promoted the substitution of bid-winning brands for bid-non-winning brands, thereby positively impacting the quality and accessibility of overall healthcare services. However, further implementation of the NCDP policy is needed in county-level medical institutions. Efforts in policy implementation, drug market competi…
subject: Research Article
  topic: section
subject: National Centralized Drug Procurement (NCDP)
  topic: keywords
subject: Drug utilization
  topic: keywords
subject: Brand substitution
  topic: keywords
subject: County-level medical institutions
  topic: keywords
creator: YiFan Ge
rights: Copyright (c) 2025 YiFan Ge https://creativecommons.org/licenses/by/4.0
date: 2025-11-12
publication date: 2025-11-12
starting page: 58
ending page: 64
doi: 10.61784/ssm3070

THE IMPLEMENTATION PATHS AND EFFECTIVENESS ANALYSIS OF GREEN LOGISTICS: A CASE STUDY
type: item
description: Against the backdrop of increasingly severe global environmental issues and the deepening advancement of the "Dual Carbon" goals, green logistics, as a crucial pathway to achieving sustainable development, has become an inevitable trend for the transformation of the logistics industry. Green logistics not only emphasizes reducing resource consumption and environmental pollution in logistics activities but also pursues the synergistic development of economic, social, and environmental benefits. In recent years, the Chinese government has intensively issued numerous green logistics policies, promoting the industry's green transformation across all segments, including packaging, transportation, warehousing, and informatization. Concurrently, a growing number of enterprises are actively exploring implementation pathways for green logistics. Through technological innovation, management optimization, and business model innovation, they aim to fulfill environmental responsibilities while enhancing operational efficiency. However, enterprises across different industries and of varying scales still face challenges in path selection, cost control, and technology application during their green logistics practices. Based on theories of sustainable development, stakeholder engagement, and green development, and by integrating literature review and typical case studies, this paper systematically explores the implementation pathways of green logistics and its associated environmental, economic, and social benefits. The findings are intended to provide theoretical reference and practical insights for the green transformation of China's logistics industry.
subject: Research Article
  topic: section
subject: Green logistics
  topic: keywords
subject: Implementation pathways
  topic: keywords
subject: Effect analysis
  topic: keywords
subject: Sustainable development
  topic: keywords
creator: HuiYing Wang
creator: JiaYi Shi
creator: JingYun Shi
creator: ZhongYi Tao
rights: Copyright (c) 2025 HuiYing Wang; JiaYi Shi; JingYun Shi; ZhongYi Tao https://creativecommons.org/licenses/by/4.0
date: 2025-10-20
publication date: 2025-10-20
starting page: 1
ending page: 19
doi: 10.61784/ssm3065

RESEARCH REPORT ON CENTRALIZED PROCUREMENT OF HEALTHCARE EQUIPMENT AND INDUSTRY TRENDS
type: item
description: The Centralized Procurement System of Medical Consumables results in a drastic price reduction of numerous high-value medical consumables and has long-term effects on public hospitals that cannot be overlooked. This study employs both descriptive statistics and qualitative analysis methods to investigate some practical issues arising from the CPSMC from an economic perspective. The conclusions of this study are as follows: 1) Since 2010, China’s per capita health expenditure, per capita healthcare expenditure, and basic medical insurance fund expenditure have been growing rapidly. Seeking a more sustainable approach to medical consumables procurement is a prevailing trend. 2) The proportion of medical materials income within the medical income of public hospitals is increasing year by year. The promotion of zero markup for consumables and the Centralized Procurement System (CPS) may negatively impact the profitability of certain public hospitals. 3) Chinese doctors in public hospitals have faced long-term underpayment. Due to the combined effects of the COVID-19 epidemic and the CPS, the salaries of some doctors are also experiencing a significant decline in the short term. 4) Doctors are unable to receive reasonable income compensation for their long-term heavy medical workloads, which may lead to negative consequences such as decreased work enthusiasm and changes in medical types and processes. The conclusions of this paper will assist decision-making departments and relevant groups in deepening their comprehensive understanding and assessment of the impacts of the CPS, improving the corresponding compensation mechanisms and regulatory systems, and promoting a sustainable and healthy development of the CPS.
subject: Research Article
  topic: section
subject: Centralized Procurement System (CPS)
  topic: keywords
subject: Public hospitals
  topic: keywords
subject: Medical consumables
  topic: keywords
subject: Doctor compensation
  topic: keywords
creator: YuZe Chen
rights: Copyright (c) 2025 YuZe Chen https://creativecommons.org/licenses/by/4.0
date: 2025-11-06
publication date: 2025-11-06
starting page: 51
ending page: 57
doi: 10.61784/ssm3069

COUNTERFACTUAL REASONING IN SUPPLY CHAIN DISRUPTION PREDICTION: A CAUSAL GRAPH NEURAL NETWORK APPROACH WITH MULTIMODAL EXTERNAL SIGNALS
type: item
description: Supply chain disruptions have emerged as critical challenges in global operations, with economic impacts exceeding trillions of dollars annually. Traditional prediction methods often fail to capture complex causal relationships and counterfactual scenarios essential for proactive risk management. This paper proposes a novel Causal Graph Neural Network (C-GNN) framework that integrates counterfactual reasoning with multimodal external signals for supply chain disruption prediction. The framework leverages directed acyclic graphs to represent causal dependencies among supply chain entities while incorporating diverse data sources including financial indicators, geopolitical events, and environmental factors. Experimental results demonstrate that our approach achieves superior prediction accuracy compared to conventional methods, with the ability to generate actionable counterfactual explanations for potential disruptions. The proposed framework offers supply chain managers interpretable insights for scenario planning and proactive intervention strategies, contributing to enhanced supply chain resilience in increasingly volatile global markets.
subject: Research Article
  topic: section
subject: Supply chain disruption
  topic: keywords
subject: Counterfactual reasoning
  topic: keywords
subject: Causal inference
  topic: keywords
subject: Graph neural networks
  topic: keywords
subject: Multimodal learning
  topic: keywords
subject: Risk prediction
  topic: keywords
subject: Supply chain resilience
  topic: keywords
creator: YuChen Li
rights: Copyright (c) 2025 YuChen Li https://creativecommons.org/licenses/by/4.0
date: 2025-10-24
publication date: 2025-10-24
starting page: 20
ending page: 28
doi: 10.61784/ssm3066

GRAPH NEURAL NETWORKS FOR REAL-TIME MALWARE DETECTION IN ENTERPRISE ENVIRONMENTS
type: item
description: The escalating sophistication of malware threats poses unprecedented challenges to enterprise cybersecurity infrastructure. Traditional signature-based detection methods struggle to identify polymorphic and zero-day malware variants that continuously evolve to evade detection mechanisms. This research presents a comprehensive investigation into the application of Graph Neural Networks (GNNs) for real-time malware detection in enterprise environments. By leveraging the structural properties of malware represented as control flow graphs and function call graphs, GNN-based approaches can capture complex behavioral patterns that distinguish malicious software from benign applications. This study examines the theoretical foundations of graph-based malware representation, evaluates state-of-the-art GNN architectures including Graph Convolutional Networks and Graph Attention Networks, and proposes an integrated framework optimized for real-time detection in enterprise settings. Experimental evaluation demonstrates that the proposed approach achieves detection accuracy exceeding 96 percent while maintaining computational efficiency suitable for deployment in production environments. The findings indicate that GNN-based detection systems offer significant advantages over traditional machine learning methods, particularly in identifying previously unseen malware families through structural pattern recognition. This research contributes to the advancement of proactive cybersecurity measures by demonstrating the viability of graph-based deep learning for scalable, real-time threat detection in complex enterprise networks.
subject: Research Article
  topic: section
subject: Graph neural networks
  topic: keywords
subject: Malware detection
  topic: keywords
subject: Enterprise security
  topic: keywords
subject: Real-time analysis
  topic: keywords
subject: Control flow graphs
  topic: keywords
subject: Deep learning
  topic: keywords
subject: Cybersecurity
  topic: keywords
subject: Threat intelligence
  topic: keywords
creator: XinYu Li
creator: Daniel Roberts
creator: Oliver Bennett
rights: Copyright (c) 2025 XinYu Li; Daniel Roberts; Oliver Bennett https://creativecommons.org/licenses/by/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 29
ending page: 44
doi: 10.61784/ssm3067

THE PATH OF PSYCHOLOGICAL CAPITAL’S INFLUENCE ON THE SUBJECTIVE SENSE OF SHARED PROSPERITY AMONG RESIDENTS IN HENAN PROVINCE
type: item
description: Shared prosperity, a core goal of Chinese modernization, has expanded from economic indicators to broader social and psychological dimensions. In this context, residents' subjective sense of gain, as a psychological perception of development achievements and fairness, has become essential. This study explores how psychological capital in Henan Province—hope, resilience, optimism, and self-efficacy—affects residents' sense of shared prosperity. Based on social support theory, we hypothesize that social support mediates this relationship. A large-scale survey of 655 residents (588 valid) was analyzed using descriptive statistics, correlation, and regression models. Results show a significant positive link between psychological capital and shared prosperity, both directly and through enhanced social support. These findings enrich the psychological theory of shared prosperity and offer policy insights on promoting residents' well-being and sense of gain through psychological interventions and community building.
subject: Research Article
  topic: section
subject: Psychological capital
  topic: keywords
subject: Shared prosperity
  topic: keywords
subject: Sense of gain
  topic: keywords
creator: XiaoBo Yu
rights: Copyright (c) 2025 XiaoBo Yu https://creativecommons.org/licenses/by/4.0
date: 2025-11-05
publication date: 2025-11-05
starting page: 45
ending page: 50
doi: 10.61784/ssm3068

CONNECTING DIMINISHING FERTILITY RATES TO PHILOSOPHY, AND ITS REAL-LIFE IMPLICATIONS
type: item
description: Decreasing fertility rates have been a growing concern in today’s society; factors are complex, including scarce resources and economic hardships. This essay evaluates the present generation’s moral obligation to others’ lives and argues that while existing individuals are entitled to protection under the social contract, future generations lack the reciprocal moral claims necessary for similar obligations. By analyzing the philosophical perspectives of Rousseau and others, the paper differentiates between the rights of living beings and the conceptual nature of future lives. It concludes that decisions regarding procreation are deeply influenced by practical considerations of scarcity, autonomy, and the socio-economic concerns, necessitating a reevaluation of ethical responsibilities. Ultimately, analysis underscores the importance of balancing support for existing lives while acknowledging the complexities surrounding future generations in an increasingly resource-constrained world.
subject: Research Article
  topic: section
subject: Ethics
  topic: keywords
subject: Obligation
  topic: keywords
subject: Morality
  topic: keywords
subject: Reproduction
  topic: keywords
subject: Environment
  topic: keywords
creator: RuoNan Liu
rights: Copyright (c) 2026 RuoNan Liu https://creativecommons.org/licenses/by/4.0
date: 2026-01-14
publication date: 2026-01-14
starting page: 9
ending page: 12
doi: 10.61784/ssm3075

FROM SIDE HUSTLES TO VENTURE CREATION: AN INDIVIDUAL-BASED MULTI-VALUE CONFIGURATION THEORY OF ENTREPRENEURSHIP
type: item
description: Contemporary entrepreneurship research remains largely anchored in a firm-centric paradigm that equates entrepreneurial action with venture creation and organizational founding. While this approach has enabled cumulative theory building, it increasingly fails to account for a growing range of entrepreneurial activities that unfold at the individual level, including side hustles, hybrid entrepreneurship, and AI-enabled micro-ventures. This paper develops the Individual-Based Multi-Value Configuration Theory (IMVCT), a novel theoretical framework that reconceptualizes entrepreneurship as a dynamic managerial configuration process centered on individuals rather than firms. IMVCT defines entrepreneurship as the continuous allocation and reallocation of time, capabilities, risk exposure, and identity commitment across scalable value-creating activities under uncertainty. Building on this definition, the paper proposes a four-state configuration model that explains entrepreneurial persistence, transition, and escalation without presuming linear progression toward organizational formation. By theorizing digital platforms and artificial intelligence as structural forces that shift experimentation, coordination, and scaling costs, IMVCT extends configuration theory to the individual level and offers a more precise account of entrepreneurial heterogeneity in technology-mediated contexts. The theory contributes to entrepreneurship and management research by reframing firm formation as a contingent outcome rather than a definitional boundary, thereby expanding the conceptual domain of entrepreneurial action.
subject: Research Article
  topic: section
subject: Entrepreneurship theory
  topic: keywords
subject: Configuration theory
  topic: keywords
subject: Individual-level entrepreneurship
  topic: keywords
subject: Digital platforms
  topic: keywords
subject: Artificial intelligence
  topic: keywords
creator: YuChen Chih
rights: Copyright (c) 2026 YuChen Chih https://creativecommons.org/licenses/by/4.0
date: 2026-01-28
publication date: 2026-01-28
starting page: 13
ending page: 25
doi: 10.61784/ssm3076

PREDICTION OF LOGISTICS DEMAND IN GUANGZHOU BASED ON GREY MARKOV MODEL
type: item
description: This paper selects the logistics data of Guangzhou from 2015 to 2019, using grey theory model and grey Markov model to forecast the logistics development data of Guangzhou from 2015 to 2019. Based on the actual data and forecast data of Guangzhou logistics from 2015 to 2019, the grey Markov model with high forecasting accuracy is selected to calculate the logistics demand of Guangzhou from 2020 to 2024, the empirical results show that there are two characteristics of logistics demand growth in Guangzhou in the future: First, the total demand of logistics industry in Guangzhou shows a continuous growth trend; Second, the structure of logistics demand in Guangzhou has changed slightly. According to the results of empirical research, this paper puts forward two countermeasures: First of all, under the background of new infrastructure, Guangzhou needs to strengthen the construction of logistics infrastructure, focusing on the development and improvement of infrastructure construction such as Internet of Things and logistics big data. Secondly, in view of the changes in the logistics demand structure in Guangzhou, we should continue to optimize the structure of the logistics industry, drain the highway logistics with higher carbon emissions, and pay attention to the development of clean, efficient and low-energy logistics methods to help achieve the goals of peak carbon dioxide emissions and carbon neutrality.
subject: Research Article
  topic: section
subject: Grey prediction model
  topic: keywords
subject: Grey Markov model
  topic: keywords
subject: Guangzhou
  topic: keywords
subject: Logistics demand forecast
  topic: keywords
creator: YongXin Peng
creator: SiMei Pan
creator: YuJing Huang
creator: LianHua Liu
creator: WenChao Pan
rights: Copyright (c) 2025 YongXin Peng; SiMei Pan; YuJing Huang; LianHua Liu; WenChao Pan https://creativecommons.org/licenses/by/4.0
date: 2025-12-24
publication date: 2025-12-24
starting page: 73
ending page: 84
doi: 10.61784/ssm3072

A DEA-MALMQUIST ANALYSIS OF MILITARY-CIVILIAN COLLABORATIVE INNOVATION EFFICIENCY
type: item
description: Taking listed companies involved in civil-military integration (CMI) in Sichuan Province as the research sample, this paper constructs a multi-dimensional evaluation system comprising resource input, technological output, economic output, and strategic output. Notably, government subsidies are incorporated as an output indicator measuring the "strategic value" of enterprises. On this basis, the DEA-BCC model and Malmquist index model are employed to conduct static measurement and dynamic evolution analysis of the collaborative innovation efficiency of these enterprises from 2022 to 2024. The study finds that: the low scale efficiency of innovation in Sichuan's CMI enterprises is the main factor restricting the improvement of overall effectiveness, and there is significant efficiency differentiation within the industry, Total Factor Productivity (TFP) shows a slight overall upward trend but fluctuates significantly due to the external environment, presenting a non-equilibrium characteristic of being significantly driven by technological progress while lagging in management efficiency catch-up. The conclusions of this paper provide a reference for optimizing the allocation of regional civil-military integration resources.
subject: Research Article
  topic: section
subject: Civil-military integration
  topic: keywords
subject: Collaborative innovation
  topic: keywords
subject: DEA-Malmquist model
  topic: keywords
subject: Strategic value
  topic: keywords
creator: Miao Li
creator: LiJing Xie
creator: Xue Yang
rights: Copyright (c) 2025 Miao Li; LiJing Xie; Xue Yang https://creativecommons.org/licenses/by/4.0
date: 2025-12-01
publication date: 2025-12-01
starting page: 65
ending page: 72
doi: 10.61784/ssm3071

THE PHASE-BASED DEVELOPMENT OF TRANSLATION COMPETENCE AND ITS PEDAGOGICAL IMPLICATIONS
type: item
description: While the PACTE model identifies translation competence components and the Dreyfus model describes general skill acquisition stages, neither adequately explains the cognitive mechanisms underlying stage transitions in translation learning. This paper addresses this gap by proposing an integrated theoretical framework that synthesizes cognitive psychology theories with translation-specific empirical findings. Drawing upon the Dreyfus Model of Skill Acquisition and Anderson’s ACT-R Theory, the study analyzes translation competence development across three stages—novice, intermediate, and advanced—from four dimensions: bilingual operation, strategy use, metacognitive monitoring, and translation output. Crucially, this paper explicates the cognitive mechanisms driving stage transitions: from declarative-to-procedural knowledge conversion that enables automatization to working memory load reduction that facilitates strategic allocation to improved metacognitive calibration accuracy. Based on empirical evidence from process-oriented translation studies (n = 35 novices, 28 intermediates, 24 professionals), this analysis reveals that novice translators exhibit 47% higher pause frequencies (M = 8.2 vs. 5.6 per 100 words) and 2.3 times longer dictionary consultation durations than professionals. The paper proposes a stage-adaptive pedagogical framework featuring differentiated scaffolding-withdrawal strategies aligned with cognitive developmental trajectories. This framework advances beyond existing models by providing mechanism-based pedagogical prescriptions rather than purely descriptive stage characteristics.
subject: Research Article
  topic: section
subject: Translation competence
  topic: keywords
subject: Phased development
  topic: keywords
subject: Cognitive mechanisms
  topic: keywords
subject: Skill acquisition
  topic: keywords
subject: Stage-adaptive pedagogy
  topic: keywords
creator: QiLin Li
rights: Copyright (c) 2026 QiLin Li https://creativecommons.org/licenses/by/4.0
date: 2026-01-30
publication date: 2026-01-30
starting page: 26
ending page: 32
doi: 10.61784/ssm3077

DYNAMIC CREDIT PRICING MODEL FOR BUYER-PAID-INTEREST SUPPLY CHAIN FINANCING IN EMERGING PLATFORM ECONOMIES
type: item
description: The emergence of digital platforms in emerging market economies has fundamentally transformed supply chain finance, creating novel opportunities for working capital optimization while introducing distinct credit risk challenges. This paper develops a comprehensive dynamic credit pricing model for supply chain financing arrangements where the buyer assumes financial responsibility and interest payments, termed buyer-paid-interest financing. We integrate game-theoretic equilibrium analysis with credit risk assessment frameworks to characterize optimal pricing mechanisms across heterogeneous supplier credit profiles. Through a two-period modeling framework, we demonstrate that optimal interest rates exhibit non-linear relationships with both probability of default and loss given default parameters. Our analysis reveals that platform-based economies realize superior welfare outcomes compared to traditional bank-intermediated arrangements when credit assessment technologies efficiently capture supplier transaction data. We further establish conditions under which buyer-paid-interest structures dominate alternative financing mechanisms from both platform and supplier perspectives. Numerical analysis demonstrates that optimal pricing policies balance operational coordination benefits against credit risk compensation requirements. The model offers actionable insights for platform operators, financial institutions, and policymakers designing sustainable supply chain financing ecosystems in emerging markets.
subject: Research Article
  topic: section
subject: Supply chain finance
  topic: keywords
subject: Dynamic pricing
  topic: keywords
subject: Credit risk modeling
  topic: keywords
subject: Platform economies
  topic: keywords
subject: Working capital management
  topic: keywords
subject: Emerging markets
  topic: keywords
subject: Buyer-initiated financing
  topic: keywords
creator: Yang Wu
rights: Copyright (c) 2025 Yang Wu https://creativecommons.org/licenses/by/4.0
date: 2025-12-30
publication date: 2025-12-30
starting page: 85
ending page: 96
doi: 10.61784/ssm3073

MEASUREMENT AND ANALYSIS OF DIGITAL AGRICULTURE DEVELOPMENT: A CASE STUDY OF ANHUI PROVINCE
type: item
description: The application of digital technology is increasingly extensive, which has injected new vitality into China's traditional agriculture. Measurement agricultural digitization is of great significance for promoting agricultural development. In this paper, the index system of agricultural digital development in Anhui Province is constructed, the level of agricultural digital development in Anhui Province is calculated based on the entropy method, and the tire index is used to analyze the regional differences. The results show that the agricultural digital development level in Anhui Province increases year by year, and in Anhui Province, the low investment of agricultural capital assets is the biggest problem of agricultural digital development.
subject: Research Article
  topic: section
subject: Digital agriculture
  topic: keywords
subject: Entropy method
  topic: keywords
subject: Comprehensive score
  topic: keywords
subject: Horizontal measure
  topic: keywords
creator: XinYi Tao
creator: YiMin Wu
creator: MengJuan Xia
creator: Jie Li
rights: Copyright (c) 2026 XinYi Tao; YiMin Wu; MengJuan Xia; Jie Li https://creativecommons.org/licenses/by/4.0
date: 2026-01-07
publication date: 2026-01-07
starting page: 1
ending page: 8
doi: 10.61784/ssm3074

EVALUATING THE EFFECTIVENESS OF A PROJECT MANAGEMENT EDUCATIONAL TRAVEL IN HONG KONG REGION: AN APPLICATION AND VALIDATION OF THE KIRKPATRICK’S FOUR-LEVEL MODEL
type: item
description: This research evaluates the effectiveness of the Hong Kong educational travel program for the Project Management course at Guangzhou Huashang College based on the Kirkpatrick Model. Research findings reveal: Overall program effectiveness was strong (total mean 4.24); the Reaction level (4.52) and Learning level (4.49) demonstrated excellent performance, while the Behavior level (4.12) and Results level (3.83) scored relatively lower. Site visits within the study tour significantly enhanced knowledge acquisition and long-term career awareness. Based on these findings, the research validates the effectiveness of the Kirkpatrick Model in evaluating educational travel, clarifies the core value of corporate visits, and proposes specific improvement recommendations such as optimizing itinerary details and strengthening knowledge transfer. This provides empirical evidence for designing and optimizing project management practice-oriented teaching.
subject: Research Article
  topic: section
subject: Kirkpatrick model
  topic: keywords
subject: Educational travel
  topic: keywords
subject: Project management
  topic: keywords
creator: TingTing Zheng
creator: ZiChen Wang
rights: Copyright (c) 2025 TingTing Zheng; ZiChen Wang https://creativecommons.org/licenses/by/4.0
date: 2025-10-13
publication date: 2025-10-13
starting page: 75
ending page: 78
doi: 10.61784/ssm3062

HOW CHARACTER FLAWS IN DEUTERAGONISTS AMPLIFY THE CHARACTER ARC OF PROTAGONISTS: VINCE GILLIGAN’S REVOLUTIONARY APPROACH TO CHARACTER DEVELOPMENT
type: item
description: This study explores Vince Gilligan’s innovative approach to character development in Breaking Bad and Better Call Saul, focusing on how Vince Gilligan uses moral ambiguity and the lack of clear motivation of deuteragonists as a key element in orchestrating the development of the main character. Through a detailed comparative analysis of the scripts, it examines how Jesse’s conflicted morality and lack of clear motivation accentuate Walter’s descent into megalomania, while Kim’s ethical wavering and inconsistent motives complicate Jimmy’s transformation into Saul Goodman. This paper highlights the distinct narrative roles of these deuteragonists, showing how their character flaws serve as catalysts and foils for the protagonists’ development journeys. By leveraging the moral complexity of secondary characters, Vince Gilligan creates emotionally resonant and ethically fraught narratives that challenge traditional distinctions between hero and villain.
subject: Research Article
  topic: section
subject: Breaking bad
  topic: keywords
subject: Better call saul
  topic: keywords
subject: Character development
  topic: keywords
subject: Deuteragonist
  topic: keywords
creator: TiTan Zhong
rights: Copyright (c) 2025 TiTan Zhong https://creativecommons.org/licenses/by/4.0
date: 2025-10-17
publication date: 2025-10-17
starting page: 79
ending page: 82
doi: 10.61784/ssm3063

THE ISSUES OF ACCOUNTING RECOGNITION AND MEASUREMENT OF PUBLIC DATA ASSETS
type: item
description: Public data constitute a critical component of China’s data factor supply system, embodying substantial political, economic, and social value. However, existing accounting standards are insufficient to accommodate their unique characteristics. This study begins by clarifying the conceptual connotation of public data and defining public data assets within the accounting framework. From the perspective of administrative and public institutions, it explores the conditions for accounting recognition and the categorization of ownership of public data assets. Furthermore, it examines the accounting treatments involved in subsequent measurement processes, including initial recognition and amortization, subsequent expenditures, impairment, and disposal. The findings enrich the accounting framework for emerging asset types within governmental accounting theory and provide practical guidance for administrative and public institutions to enhance the management efficiency of public data assets and to promote the market-oriented circulation of data factors.
subject: Research Article
  topic: section
subject: Public data assets
  topic: keywords
subject: Accounting recognition
  topic: keywords
subject: Accounting measurement
  topic: keywords
subject: Administrative and public institutions
  topic: keywords
creator: ZhenNan Li
creator: MeiTing Shu
rights: Copyright (c) 2025 ZhenNan Li; MeiTing Shu https://creativecommons.org/licenses/by/4.0
date: 2025-10-18
publication date: 2025-10-18
starting page: 83
ending page: 93
doi: 10.61784/ssm3064

THE IMPACT OF DIGITAL MERGERS AND ACQUISITIONS ON TOTAL FACTOR PRODUCTIVITY UNDER THE CULTIVATION OF NEW QUALITY PRODUCTIVITY
type: item
description: In the context of the digital age, the cultivation of new quality productivity has become the key to promoting high-quality economic development.This article aims to explore how digital mergers and acquisitions, under the cultivation of new quality productivity, can increase the number of patents through innovative technologies and innovate business models, thereby affecting the overall factor productivity of enterprises.This study uses digital mergers and acquisitions events of Chinese A-share listed companies from 2015 to 2022 as samples, and uses multiple regression analysis to systematically examine the impact and mechanism of digital mergers and acquisitions on total factor productivity of enterprises.The study found that firstly, digital mergers and acquisitions significantly improved the total factor productivity of enterprises, and this effect gradually emerged and remained stable within two years after the merger.Secondly, through technological synergies, digital mergers and acquisitions have promoted the improvement of corporate innovation capabilities and optimized resource allocation efficiency.In addition, digital mergers and acquisitions enhance the market competitiveness and customer value creation ability of enterprises through innovative business models.Heterogeneity analysis shows that digital mergers and acquisitions of non-state-owned enterprises have a more significant effect on improving their total factor productivity. This study not only enriches the relevant theories of digital mergers and acquisitions and enterprise productivity, but also provides empirical basis for the government and enterprises to formulate relevant policies and strategies in the process of digital transformation.Future research can further explore the long-term effects of digital mergers and acquisitions and their mechanisms in different industry contexts.
subject: Research Article
  topic: section
subject: Digital mergers and acquisitions
  topic: keywords
subject: New quality productivity
  topic: keywords
subject: Total factor productivity
  topic: keywords
creator: ShuRong Yan
creator: ZhongBao Zhou
rights: Copyright (c) 2025 ShuRong Yan; ZhongBao Zhou https://creativecommons.org/licenses/by/4.0
date: 2025-06-27
publication date: 2025-06-27
starting page: 19
ending page: 30
doi: 10.61784/ssm3055

TEAM SIZE AS A MODERATING FACTOR IN REMOTE PROJECT MANAGEMENT: EVIDENCE FROM SAUDI ARABIA
type: item
description: This study investigates the moderating effect of team size on remote project management outcomes in Saudi Arabian organizations, addressing a critical gap in understanding optimal virtual team configurations in emerging markets. Through quantitative analysis of data collected from 289 project professionals across multiple sectors in Saudi Arabia, the research examines how varying team sizes influence project completion rates, resource utilization, and coordination efficiency in remote work environments. Using structural equation modeling and hierarchical regression analysis, the findings reveal that medium-sized teams (8-12 members) demonstrate optimal performance metrics in remote settings. In comparison, larger teams (>15 members) show diminishing returns in coordination efficiency and project completion rates. The study also identifies critical thresholds where increasing team size begins to negatively impact virtual collaboration effectiveness. Results indicate that team size explains 34% of the variance in project completion rates when controlling for project complexity and industry type. These findings contribute to project management theory by establishing team size as a significant moderating variable in remote project success, particularly within the Saudi Arabian context. The research provides practical implications for project managers in optimizing team configurations for remote work, offering evidence-based recommendations for team sizing based on project scope and complexity. This study advances our understanding of virtual team dynamics in emerging markets and provides a foundation for future research on team size optimization in remote project management.
subject: Research Article
  topic: section
subject: Team size
  topic: keywords
subject: Remote project management
  topic: keywords
subject: Virtual teams
  topic: keywords
subject: Saudi Arabia
  topic: keywords
subject: Project performance
  topic: keywords
subject: Coordination efficiency
  topic: keywords
subject: Team configuration
  topic: keywords
subject: Project success factors
  topic: keywords
creator: Nofal Abdulhadi
rights: Copyright (c) 2025 Nofal Abdulhadi https://creativecommons.org/licenses/by/4.0
date: 2025-05-27
publication date: 2025-05-27
starting page: 75
ending page: 83
doi: 10.61784/ssm3038

THE CONSTRUCTION PATH OF UNIVERSITY INNOVATION AND ENTREPRENEURSHIP PLATFORMS FROM THE PERSPECTIVE OF CHINA-ASEAN COOPERATION
type: item
description: In the context of the deepening of China-ASEAN cooperation and the acceleration of regional economic integration, the university innovation and entrepreneurship platform plays a pivotal role in promoting the integration of the educational, innovation, and industrial chains. This platform is of strategic importance in the cultivation of internationally oriented and versatile talents, the promotion of the transformation of scientific and technological achievements, and the empowerment of the synergistic development of the region. This paper is predicated on a comprehensive review of extant literature and a meticulous qualitative analysis. It systematically discusses the construction path of a university innovation and entrepreneurship platform in the context of China-ASEAN cooperation. The novelty of this paper is that it proposes a three-dimensional platform construction framework of education, economy, and culture from the theory of regional cooperation, which provides theoretical and practical references for the synergistic development of higher education and economic quality in China-ASEAN. Subsequent research endeavors may entail the amalgamation of empirical data and regional heterogeneity analysis, thereby facilitating a more profound exploration of the long-term governance mechanism of the platform.
subject: Research Article
  topic: section
subject: China-ASEAN cooperation
  topic: keywords
subject: Innovation and entrepreneurship platform
  topic: keywords
subject: Regional synergistic development
  topic: keywords
subject: University-enterprise cooperation
  topic: keywords
creator: Bin Li
creator: ZiRou Wen
creator: TingTing Pan
creator: YiLu Huang
rights: Copyright (c) 2025 Bin Li; ZiRou Wen; TingTing Pan; YiLu Huang https://creativecommons.org/licenses/by/4.0
date: 2025-09-10
publication date: 2025-09-10
starting page: 64
ending page: 74
doi: 10.61784/ssm3060

AUTODETECT: AN ACTOR-CRITIC REINFORCEMENT LEARNING FRAMEWORK FOR FINANCIAL FRAUD DETECTION
type: item
description: Financial fraud detection systems face significant challenges in adapting to evolving fraudulent behaviors while maintaining optimal balance between detection accuracy and operational efficiency in dynamic financial environments. Traditional supervised learning approaches struggle with the sequential decision-making nature of fraud detection, limited labeled fraud data availability, and the need for real-time adaptation to emerging fraud patterns that continuously evolve to circumvent existing detection mechanisms. The challenge lies in developing intelligent systems that can learn optimal detection strategies through interaction with financial transaction environments while balancing exploration of new fraud patterns with exploitation of known fraud indicators. This study proposes AutoDetect, a novel Actor-Critic Reinforcement Learning (RL) framework that formulates fraud detection as a sequential decision-making problem where an intelligent agent learns optimal detection policies through continuous interaction with transaction data streams. The framework employs actor-critic architecture where the actor network generates detection decisions and the critic network evaluates the quality of these decisions based on fraud detection rewards and penalty structures. The RL approach enables autonomous learning of detection strategies that maximize long-term fraud detection effectiveness while minimizing false positive rates through dynamic policy optimization based on environmental feedback. Experimental evaluation using large-scale financial transaction datasets demonstrates that AutoDetect achieves 53% improvement in fraud detection accuracy compared to traditional supervised learning approaches. The framework results in 46% better adaptation to novel fraud patterns and 42% reduction in false positive rates while maintaining real-time processing capabilities suitable for high-throughput financial transaction environments. AutoDetect successfully combines reinforcement l…
subject: Research Article
  topic: section
subject: Reinforcement learning
  topic: keywords
subject: Actor-Critic
  topic: keywords
subject: Fraud detection
  topic: keywords
subject: Sequential decision making
  topic: keywords
subject: Financial transactions
  topic: keywords
subject: Autonomous learning
  topic: keywords
subject: Policy optimization
  topic: keywords
subject: Real-time adaptation
  topic: keywords
creator: Emily Yip
creator: Thomas Lau
creator: Patrick Ho
rights: Copyright (c) 2025 Emily Yip; Thomas Lau; Patrick Ho https://creativecommons.org/licenses/by/4.0
date: 2025-08-15
publication date: 2025-08-15
starting page: 55
ending page: 63
doi: 10.61784/ssm3059

INTERNAL CONTROLS, GOVERNANCE STRUCTURES, AND FINANCIAL RISK: A TRIADIC ANALYSIS IN LISTED COMPANIES
type: item
description: In today's highly dynamic and complex business environment, the intrinsic relationship among internal control, governance structure, and financial risk in listed companies has drawn significant attention. Serving as the cornerstone for ensuring operational effectiveness and financial information reliability, internal control works in close synergy with the corporate governance structure, collectively forming the enterprise governance framework. As financial risk represents a core threat to companies, mitigating it effectively depends critically on robust internal control mechanisms and efficient governance structures. Consequently, in-depth research into the interplay among these three elements in listed companies holds substantial practical value for enhancing operational efficiency, strengthening financial transparency, and reducing overall risk.
subject: Research Article
  topic: section
subject: Listed companies
  topic: keywords
subject: Internal control
  topic: keywords
subject: Corporate governance structure
  topic: keywords
subject: Financial risks
  topic: keywords
creator: JiaRui Li
rights: Copyright (c) 2025 JiaRui Li https://creativecommons.org/licenses/by/4.0
date: 2025-07-24
publication date: 2025-07-24
starting page: 51
ending page: 54
doi: 10.61784/ssm3058

COORDINATED DEVELOPMENT OF CROSS-BORDER E-COMMERCE INDUSTRY AND STRATEGIC EMERGING INDUSTRIES IN JIANGXI PROVINCE
type: item
description: This study, set against the backdrop of Jiangxi Province's' 1269 'Action Plan, explores the pathways and mechanisms for integrating the cross-border e-commerce industry with strategic emerging industries. In the context of the rapid development of the global digital economy and the formation of a dual circulation pattern both domestically and internationally, cross-border e-commerce, as a new form of trade, has formed deep interactions with Jiangxi Province's key strategic emerging industries, such as electronics, new energy, and aviation. The study employs methods such as literature analysis, data mining, and case studies to systematically examine the current status, collaborative mechanisms, and integration paths of the cross-border e-commerce industry and strategic emerging industries in Jiangxi Province. The findings indicate that Jiangxi Province has effectively promoted the digital transformation of traditional industries and the international layout of emerging industries through the 'cross-border e-commerce + industrial belt' model, forming distinctive cross-border e-commerce industrial belts in areas like Ganzhou furniture, Jingdezhen ceramics, and Nanchang electronics. However, there are still shortcomings in policy coordination, industrial chain integration, and talent support. This study proposes a 'four-dimensional linkage' model of coordinated development, providing a theoretical framework and practical reference for inland regions to leverage cross-border e-commerce to empower industrial upgrading.
subject: Research Article
  topic: section
subject: Cross-border e-commerce
  topic: keywords
subject: Strategic emerging industry
  topic: keywords
subject: Industrial coordination
  topic: keywords
subject: Digital transformation
  topic: keywords
creator: Hui Wang
creator: Lei Zhao
rights: Copyright (c) 2025 Hui Wang; Lei Zhao https://creativecommons.org/licenses/by/4.0
date: 2025-07-22
publication date: 2025-07-22
starting page: 42
ending page: 50
doi: 10.61784/ssm3057

RESHAPING THE COMPETENCY STRUCTURE AND TRANSFORMING THE CULTIVATION MODEL OF SCIENTIFIC AND TECHNOLOGICAL TALENT IN THE ERA OF ARTIFICIAL INTELLIGENCE
type: item
description: Artificial intelligence (AI) is profoundly transforming industries and society, placing new demands on the competency structure of technology professionals. This paper explores the urgent need and pathways for reshaping the competencies of technology professionals and transforming their cultivation models in the AI era. The research indicates that the traditional mono-disciplinary competency structure is no longer suited to the complex innovation environment driven by AI, necessitating the construction of a composite competency system encompassing data thinking, algorithm application, interdisciplinary integration, innovation capability, and lifelong learning. Existing cultivation models exhibit limitations in interdisciplinary focus, innovation cultivation, knowledge update speed, and ethical awareness. To address this, this paper constructs a model comprising six core competency elements: professional technical skills, data processing, innovation, interdisciplinary integration, learning adaptation, and team collaboration. It proposes pathways for competency reshaping from four levels: government, higher education institutions, enterprises, and individuals. Key to transforming the cultivation model are: updating educational philosophies (emphasizing lifelong learning and innovation), innovating teaching methods (e.g., PBL, flipped classrooms), optimizing curriculum systems (integrating cutting-edge knowledge and strengthening interdisciplinary elements), and deepening industry-education integration. Analysis of domestic and international case studies validates the effectiveness of the proposed strategies. Successful transformation is strategically significant for enhancing individual competitiveness and driving national scientific and technological innovation and high-quality development.
subject: Research Article
  topic: section
subject: Artificial intelligence era
  topic: keywords
subject: Technology professionals
  topic: keywords
subject: Competency restructuring
  topic: keywords
subject: Cultivation model transformation
  topic: keywords
subject: Interdisciplinary integration
  topic: keywords
subject: Innovation capability
  topic: keywords
creator: JiaQi Zhang
rights: Copyright (c) 2025 JiaQi Zhang https://creativecommons.org/licenses/by/4.0
date: 2025-07-10
publication date: 2025-07-10
starting page: 31
ending page: 41
doi: 10.61784/ssm3056

https://upubscience.com/ssm/article/view/1389
type: item
title: HEALTHY ‘FOOD’ IN GOOD, FAT REDUCTION NEW TREND- ‘HEALTHY LOW-CALORIE DIET’ UNDER THE BACKGROUND OF GUANGXI BASED ON THE YOUNG GROUP OF LOW-FAT SNACKS CONSUMPTION INTENTION INVESTIGATION AND INNOVATION STRATEGY ANALYSIS
description: This paper focuses on the trend of 'low-fat low-calorie healthy diet', aiming at the young group of 14-30 years old in Guangxi, and deeply studies the contradiction between high purchase intention and low purchase rate in the low-fat snack market. On the one hand, we hope to fill the current research gap on low-fat snacks, on the other hand, we hope to bring practical promotion to low-fat snacks. Through questionnaires and network data, this paper analyzes consumer value judgments and reveals the market potential and reform needs of low-fat snacks. Five innovative strategies are summarized: product diversification, customized promotion, multi-channel sales, healthy raw material use and brand vision improvement. Logical model and K-means clustering analysis are used to analyze the influence of consumer characteristics on purchase intention, and the target market is subdivided. A neural network model was established, and 18 specific strategies were proposed, covering product taste, health, channel, marketing and packaging innovation, and quantifying their impact on purchase intention. Finally, it puts forward some suggestions for the development of low-fat snack enterprises with high-quality products and honest marketing as the core, and puts forward some suggestions to the government, hoping to contribute to the healthy development of low-fat snack industry.
subject: Research Article
  topic: section
subject: Low fat low card
  topic: keywords
subject: Guangxi young consumer groups
  topic: keywords
subject: Logistic model
  topic: keywords
subject: K-means clustering analysis
  topic: keywords
subject: Neural network
  topic: keywords
creator: SiYu Huang
creator: YuFeng Yao
creator: ZhiJie Zhang
creator: YunLi Zhou
creator: LiQi Tan
rights: Copyright (c) 2025 SiYu Huang; YuFeng Yao; ZhiJie Zhang; YunLi Zhou; LiQi Tan https://creativecommons.org/licenses/by/4.0
date: 2025-06-25
publication date: 2025-06-25
starting page: 1
ending page: 18
doi: 10.61784/ssm3054

DESIGNING ADAPTIVE MARKETING INTERVENTIONS USING ARTIFICIAL INTELLIGENCE
type: item
description: As customer behaviors evolve rapidly in the digital economy, traditional static marketing strategies struggle to maintain effectiveness. Adaptive marketing interventions, empowered by artificial intelligence (AI), offer a dynamic solution to personalize customer engagement, optimize campaign timing, and maximize return on investment (ROI). This study proposes a comprehensive framework for designing AI-driven adaptive marketing interventions in multi-channel environments. By leveraging machine learning (ML) algorithms such as reinforcement learning (RL), neural networks, and customer clustering, we demonstrate how marketers can dynamically adjust messaging, discounts, and product recommendations in response to real-time behavioral cues. Experimental simulations on synthetic datasets show significant improvements in conversion rates, customer lifetime value (CLV), and campaign efficiency compared to baseline static strategies. The findings provide empirical support for integrating AI into marketing decision-making processes and offer practical insights into implementation challenges and scalability considerations.
subject: Research Article
  topic: section
subject: Adaptive marketing
  topic: keywords
subject: Artificial intelligence
  topic: keywords
subject: Reinforcement learning
  topic: keywords
subject: Customer segmentation
  topic: keywords
subject: Campaign optimization
  topic: keywords
subject: Personalized marketing
  topic: keywords
subject: Marketing automation
  topic: keywords
creator: Rina Sato
rights: Copyright (c) 2025 Rina Sato https://creativecommons.org/licenses/by/4.0
date: 2025-06-07
publication date: 2025-06-07
starting page: 84
ending page: 89
doi: 10.61784/ssm3053

THE CAUSES AND RESOLUTION OF GRASSROOTS BURDEN FROM THE PERSPECTIVE OF FIELD THEORY——TAKING THE NEW ROUND OF TOWNSHIP INSTITUTIONAL REFORM IN L TOWN OF C CITY AS AN EXAMPLE
type: item
description: The modernization of grassroots governance is a key part of Chinese modernization. However, the heavy burden at the grassroots level restricts the improvement of governance efficiency. Although the party and the government continue to introduce measures to reduce the burden at the grassroots level, this stubborn disease is still difficult to eradicate, hindering the modernization process of grassroots governance. Taking L town of C city as an example, this study uses field theory to construct the analysis framework of “field-capital-habitus” and analyzes the realistic pattern of grassroots burden. At the field level, the pressure of superiors, unclear responsibilities, conflicts of interests and service capabilities aggravate the burden; At the capital level, economic deprivation, social capital reset, cultural mismatch and symbolic capital competition lead to low efficiency; At the level of habitus, path dependence, risk aversion and old and new conflicts solidified the burden. The research shows that it is necessary to reconstruct field rules, redistribute capital and reshape habitus and identity in order to eliminate the burden of grassroots. The reform of township institutions can be deepened from the aspects of legalization of rights, responsibilities and interests, accumulation of innovative capital, promotion of habitus transformation, balance technical governance and humanistic care, and explore new interactive models to achieve the dual goals of reducing burdens and increasing efficiency.
subject: Research Article
  topic: section
subject: Field theory
  topic: keywords
subject: Grassroots burden
  topic: keywords
subject: Causes and digestion
  topic: keywords
subject: A new round of township institutional reform
  topic: keywords
creator: ZiYuan Zhou
creator: QingQing Huang
rights: Copyright (c) 2025 ZiYuan Zhou; QingQing Huang https://creativecommons.org/licenses/by/4.0
date: 2025-05-21
publication date: 2025-05-21
starting page: 64
ending page: 74
doi: 10.61784/ssm3052

EXECUTIVE COMPENSATION, INNOVATION INVESTMENT, AND CORPORATE PERFORMANCE
type: item
description: This study examines non-financial listed companies in China's A-share market from 2016 to 2020 to empirically analyze the effects of executive compensation on corporate performance, the influence of innovation investment on corporate performance, and the moderating role of executive compensation in the relationship between innovation investment and corporate performance. The empirical findings indicate that executive compensation positively impacts corporate performance; there exists a significant positive correlation between innovation investment and corporate performance; and executive compensation partially moderates the relationship between innovation investment and corporate performance.
subject: Research Article
  topic: section
subject: Executive compensation
  topic: keywords
subject: Innovation investment
  topic: keywords
subject: Corporate performance
  topic: keywords
creator: YiFan Wang
creator: YongHui Li
rights: Copyright (c) 2025 YiFan Wang; YongHui Li https://creativecommons.org/licenses/by/4.0
date: 2025-05-20
publication date: 2025-05-20
starting page: 57
ending page: 63
doi: 10.61784/ssm3051