Encourage or Reject Employee Involvement: Value Creation in Human Resource Management in the AI Era-An Evolutionary Game Analysis of Enterprises and Employees.

In the context of globalization and rapid technological advancement, the introduction of Artificial Intelligence (AI) has brought new opportunities and challenges to Human Resource Management (HRM). This study constructs an evolutionary game model to explore the strategy choices and evolutionary paths of enterprises and employees in HRM value co-creation with AI involvement. We numerically simulated the dynamic evolution of strategies under different scenarios, revealing the equilibrium characteristics of strategic interactions between enterprises and employees in the AI context.

The Influence of Work Engagement on Employee Affect and Creativity: Insights from Occupational Mental Health.

Affect plays a pivotal role in shaping employees' work performance and mental health, with growing recognition of its capacity to drive creativity. However, the differential impacts of positive and negative affect on creative performance remain a subject of debate. This study aims to compare the relationships between high- and low-arousal affect, as well as PANA dimensions of affect, and creative performance, emphasizing the mediating role of work engagement from an occupational mental health perspective.

Does Diversity Climate Matter? The More Respected I Feel, the Better I Can Do: Unravelling the Mechanisms Enabling Employees' Extra-Role Performance.

The current study examined how a diversity climate promotes employees' extra-role performance and how the roles of workplace belongingness and thriving at work mediate this effect. Furthermore, this study investigated the sequential mediation effect of workplace belongingness and thriving at work in the aforesaid relationship. This study also tested the leaders' positive affective presence as a moderator in the effect of diversity climate on extra-role performance.

User Real Comments Incentive Mechanism Based on Blockchain in E-Commerce Transactions-A Tripartite Evolutionary Game Analysis.

In response to the widespread issue of fake comments on e-commerce platforms, this study aims to analyze and propose a blockchain-based solution to incentivize authentic user feedback and reduce the prevalence of fraudulent reviews. Specifically, this paper constructs a tripartite evolutionary game model between sellers, buyers, and e-commerce platforms to study the real comment mechanism of blockchain. The strategy evolution under different incentive factors is simulated using replication dynamic equation analysis and Matlab software simulation.

Knowledge Management and Digital Innovation in Healthcare: A Bibliometric Analysis.

Background/objectives: In recent years, knowledge management and digital innovation have become pivotal in transforming healthcare systems, driving efficiency and enhancing patient outcomes. This study presents a bibliometric analysis of research trends at the intersection of knowledge management and digital innovation in healthcare, examining the scope, impact, and evolution of scholarly work in this domain.

Methods: Using a comprehensive dataset from the Scopus database, we analyzed 419 publications from 1985-2023 to identify influential authors, journal collaborations, and emerging topics and methodologies in the field.

Can Informal Care Be a Substitute for Formal Care? Evidence from Older People with Disabilities in Beijing, China.

Background: The demand for long-term care is increasing as the elderly population continues to grow, prompting a critical examination of care modalities.

Methods: This study employs data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) to assess the relationship between informal and formal care for older people with disabilities in Beijing. The analysis employs the Probit model and incorporates the application of instrumental variable techniques and propensity score matching to ensure robustness in the results.

Neural markers of human aggression and cooperation are influenced by zero-sum or non-zero-sum groups.

Cooperation and competition in social interaction are important to social development. There are many studies examining the neural mechanism underlying these behaviors; however, little is known about the potential role of payoff norms in social interactions. This study introduced two distinct payoff norms: zero-sum (ZS) and non-zero-sum (NZS).

Optimizing a link-based travel incentive scheme integrating personal carbon trading for low-carbon commuting.

The pressing need to reduce greenhouse gas emissions and optimize traffic demand underlines the importance of effective travel demand management. Previous studies have explored budget-based and aggregated incentive programs, which diminish a heavy financial burden on governments and tend to be limited in contributing to effective behavior change in practice due to budget issues. This study proposes a personal carbon trading travel incentive (PCTTI) mechanism, to encourage private car commuters using low-carbon travel routes.

Research on the self-efficacy and resilience of female graduate students in the era of artificial intelligence: analysis of the mechanism of mobile phone dependence, anxiety and mentoring relationship.

Purpose: The purpose of this study is to investigate the impact of the employment situation on the anxiety levels and research self-efficacy of graduate students, with a particular focus on female graduate students. The study aims to understand how the use of AIGC tools, which has become more frequent among those with lower research self-efficacy, affects anxiety and research resilience. Additionally, the research explores the role of the mentoring relationship in influencing the psychological and academic experiences of female graduate students.

Enterprise chart question and answer method based on multi modal cross fusion.

To enhance enterprises' interactive exploration capabilities for unstructured chart data, this paper proposes a multimodal chart question-answering method. Facing the challenge of recognizing curved and irregular text in charts, we introduce Gaussian heatmap encoding technology to achieve character-level precise text annotation. Additionally, we combine a key point detection algorithm to extract numerical information from the charts and convert it into structured table data.

Exploring the nexus between financial inclusion, governance, and carbon emissions in SAARC countries.

This study examines the impact of financial inclusion (FI) and institutional quality (INSQ) on carbon dioxide (CO) emissions in South Asian Association for Regional Cooperation (SAARC) economies, using data from 2004 to 2022. The hypotheses were tested using a generalized method of moments (GMM) approach. Beside, a robust moment method quantile regression (MM-QR) static model and Granger causality tests were employed to validate the results.

The effect of regional integration on the efficiency of enterprise resource allocation.

Based on a micro-entity perspective, this paper empirically examines the effect of regional integration on the efficiency of enterprise resource allocation. Firstly, regional integration can significantly reduce the degree of resource mismatch of enterprises and improve the efficiency of resource allocation of enterprises overall. Secondly, regional integration can improve the efficiency of resource allocation of enterprises mainly through three channels, which are alleviating the financing constraints of enterprises, improving the degree of talent agglomeration, and reducing the operating costs of enterprises.

Research on the mechanism by which digital transformation peer effects influence innovation performance in emerging industries: A case study of China's photovoltaic industry.

The exploration of digital transformation peer effects on the innovation performance of emerging industries is crucial for analyzing the underlying mechanisms of digital transformation, optimizing resource allocation among peer enterprises, and enhancing industrial competitiveness. This study empirically examines the influence of digital transformation peer effects on the innovation performance of the photovoltaic industry, using data from 150 photovoltaic companies listed in Shanghai and Shenzhen between 2011 and 2022. The study found that: (1) The digital transformation of the photovoltaic industry is influenced by regional and industry-specific peer effects.

Health behavior and medical insurance under the healthy China strategy: a moral hazard perspective.

Introduction: High medical expenditure is one of the major obstacles to achieving common prosperity in China. As a health risk compensation and protection mechanism, medical insurance has played a good role in alleviating the economic burden of patients. However, due to the existence of moral hazard, medical insurance may also lead to the occurrence of psychological deviation and overtreatment of patients or hospitals' health treatment expectations, thus generating unnecessary pressure on public financial expenditure.

Impact of mandatory environmental information disclosure on the capital cost: Evidence from listed companies in China.

Mandatory environmental information disclosure is characterized by formal environmental regulation and that the content of the disclosure promotes public participation and oversight in the environmental field. This paper studies the impact of mandatory environmental information disclosure (EID) enforcement in China on corporate capital cost using a difference-in-difference model. The results indicate that mandatory EID increases debt capital cost, but has no significant impact on equity capital cost, which differs from mainstream research that suggest EID can reduce capital cost.

Can reverse mixed-ownership reform promote green transformation of private enterprises?

The private sector greatly influences China's economy, which is crucial for fostering consistent economic growth. This paper takes A-share listed private enterprises (PEs) from 2009 to 2022 as the research object, uses the time-series regime-switching detection method to detect the changepoints of reverse mixed-ownership reform (RMOR) of PEs, and utilizes the staggered difference-in-difference (DID) model to investigate the impact effect and mechanism of the RMOR policy on the green transformation (GT) of PEs. The results show that the RMOR significantly promotes the GT of PEs.

A novel approach for agricultural carbon emission reduction by integrating fermatean neutrosophic set with WINGS and AHP-EWM.

Agriculture is a major contributor to global greenhouse gas emissions, highlighting the urgent need for effective carbon reduction strategies. This study presents an innovative integrated model that employs Fermatean Neutrosophic Set in conjunction with the Weighted Influence Nonlinear Gauge System and the Analytic Hierarchy Process combined with the Entropy Weight Method to assess key factors influencing agricultural carbon reduction. Our study delineates the hierarchical importance of factors influencing carbon emissions, with carbon emission reduction policy (τ4) emerging as the paramount factor, attributed a value of 0.

Soft cluster-rectangle method for eliciting criteria weights in multi-criteria decision-making.

Subjective weighting methods are widely employed to determine criteria weights in multi-criteria decision-making (MCDM) environment. Inputs from decision-makers, including opinions, assessments, assumptions, evaluations, interpretations, expectations, and judgments, are primarily relied upon in these methods. Significant challenges are faced due to two primary factors: the inherent uncertainty in inputs and the process of pairwise comparisons.

Assessing the impact of community-based homestay experiences on tourist loyalty in sustainable rural tourism development.

In the context of community-based tourism, this study investigates the determinants of tourist loyalty to homestays, with a focus on sustainable rural tourism development in China. Using the stimulus-organism-response (SOR) framework, we propose a conceptual model to examine how connected experiences influence tourist emotions and, in turn, their loyalty. Data were gathered through onsite surveys of tourists, and structural equation modeling was applied to assess the relationships between key variables.

Evaluating the ability of large language models to emulate personality.

For social sciences, recent advancements in Large Language Models (LLMs) have the potential to revolutionize the study of human behaviors by facilitating the creation of realistic agents characterized by a diverse range of individual differences. This research presents novel simulation studies assessing GPT-4's ability to role-play real-world individuals with diverse big five personality profiles. In simulation 1, emulated personality responses exhibited superior internal consistency, but also a more distinct and structured factor organization compared to the human counterparts they were based on.

CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability.

Text Graph Representation Learning through Graph Neural Networks (TG-GNN) is a powerful approach in natural language processing and information retrieval. However, it faces challenges in computational complexity and interpretability. In this work, we propose CoGraphNet, a novel graph-based model for text classification, addressing key issues.

Research on the risk spillover effect between China's national carbon emissions trading market and crude oil futures market.

The development of China's National Carbon Market has strengthened the inherent link between the carbon market and the broader energy market, providing a potential for cross-market risk transmission resonance. Studying the risk spillover effects between China's National Carbon Market and the crude oil futures market is of significant practical importance, both in terms of carbon market development and carbon risk management. Based on the Maximal Overlap Discrete Wavelet Transform (MODWT), the price series are decomposed across multiple scales, and the risk spillover effects between the carbon market and the crude oil futures market are examined from both the time domain and the frequency domain.

The social welfare effect of e-commerce product reputation information asymmetry from the perspective of network externality.

Reputation is the most important intangible asset of merchants. In the e-commerce platform market, reputation information has become an important signal of product quality. However, with increasingly fierce competition among merchants on these platforms, violations of reputation information, such as "click farming," "cash rebate for favorable comments," and "pay per click," have caused information asymmetry and adverse selection.