7,567 results match your criteria: "School of Economics and Management[Affiliation]"

Background: With the widespread application of Artificial Intelligence technology in the field of E-commerce, human-machine relationships have attracted considerable attention within the field of psychology. Address forms, as crucial linguistic cues, have shown notable progress in advancing research on interpersonal relationships; however, a comprehensive understanding of the dynamics in interpersonal (or human-machine) relationships among interactors remains elusive. Therefore, based on Social Identity Theory, this paper explores the interactive effects and underlying mechanisms of affectionate nicknames and streamer type on streamer attitude in E-commerce live streaming, with consumers' perceptions of psychological closeness serving as the mediating mechanism.

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Trade policy differences among different countries are important factors affecting international trade cooperation. In this paper, we build an evolutionary game model of international trade in which complex networks portray game relationships and trade policy differences are game strategies of players. Compared with the fully coupled game relationship and two-strategies game, the game relationship dynamic adjustment, trade policy differences and stochastic game payoffs in this paper are more in line with the real international trade context.

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The development of cross-border e-commerce platform promotes the new channel model between domestic and international. How to determine the dual-channel pricing decision of manufacturers and retailers under the condition of tariff and transportation heterogeneity has become an important and realistic problem. Based on the perspective of cross-border e-commerce dual-channel supply chain, this paper considers the impact of import tariff, transport heterogeneity and export tax rebate, compares and analyzes the performance difference between decentralized decision-making and centralized decision-making, and analyzes the impact of import tariff, export tax rebate and transport heterogeneity on cross-border e-commerce dual-channel pricing, demand and profit.

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Women's Empowerment and Health: A Narrative Review.

Int J Environ Res Public Health

December 2024

Healthcare Management Program, School of Economics and Management, Open University of Cyprus, Nicosia 2220, Cyprus.

Empowerment, the process by which a person is enabled to increase control over decisions concerning their life, is a multidimensional construct that has been extensively discussed by various disciplines for more than four decades. Several empowerment models have been presented, based on different approaches. This paper proposes a four-step model, based on individual and contextual awareness and advancement.

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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.

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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.

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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.

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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.

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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.

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

Healthcare (Basel)

December 2024

Institute of Health Policy, Management and Evaluation, University of Toronto, Health Sciences Building, 155 College Street, Suite 425, Toronto, ON M5T 3M6, Canada.

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.

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

Int J Psychophysiol

January 2025

Faculty of Psychology, Beijing Normal University, Beijing, China; School of Economics and Management, Fuzhou University, Fuzhou, China. Electronic address:

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).

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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.

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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.

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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.

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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.

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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.

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Article Synopsis
  • Centralized drug procurement, like China's 2018 CVBP, aims to ease healthcare costs and enhance the pharmaceutical industry.
  • Research on the impact of this procurement method shows it significantly boosts R&D investment among pharmaceutical firms, especially those with high marketing expenses.
  • The study utilizes data from listed firms in China's A-share market, confirming the findings through various robust testing methods, thus offering valuable insights for governments and firms on fostering innovation.
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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.

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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.

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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.

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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.

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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.

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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.

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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.

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