Search Results (89)

Innovation is a driving force in terms of enhancing individual core competencies, fostering social progress, and promoting economic growth. Innovation behavior encompasses all actions involved in the generation of innovative ideas, through to their realization. This study employs a meta-analytic approach to examine the relationship between personality traits and innovation behavior, as well as the potential moderating factors involved. A systematic search of relevant literature in both Chinese and English was conducted, and a total of 91 papers met the inclusion criteria. In total, 399 correlations with a combined sample size of 32,786 were analyzed using the metafor package. The results showed that the four dimensions of the Big Five personality model—agreeableness, extraversion, openness, and conscientiousness—were significantly and positively correlated with innovation behavior. Neuroticism was weakly and negatively associated with innovation behavior. Moderator analyses revealed that the sample type (student vs. employee) and the personality measurement instrument (BFI vs. IPIP) significantly influenced the relationship between openness and innovation behavior. These findings underscore the strong connection between core personality traits and innovation behavior, particularly emphasizing the importance of openness. Full article

This study developed and validated an integrated theoretical framework combining the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) to investigate how driving assistance technologies (DATs) influence risky driving behaviors among young urban Chinese drivers. Based on this framework, we proposed and tested several hypotheses regarding the effects of psychological and technological factors on risky driving intentions and behaviors. A survey was conducted with 495 young drivers in Shaoguan, Guangdong Province, examining psychological factors, technology acceptance, and their influence on risky driving behaviors. Structural equation modeling revealed that the integrated TPB-TAM explained 58.3% of the variance in behavioral intentions and 42.6% of the variance in actual risky driving behaviors, significantly outperforming single-theory models. Attitudes toward risky driving (β = 0.287) emerged as the strongest TPB predictor of behavioral intentions, while perceived usefulness (β = −0.172) and perceived ease of use (β = −0.113) of driving assistance technologies negatively influenced risky driving intentions. Multi-group analysis identified significant gender and driving experience differences. Logistic regression analyses demonstrated that model constructs significantly predicted actual traffic violations and accidents. These findings provide theoretical insights into risky driving determinants and practical guidance for developing targeted interventions and effective traffic safety policies for young drivers in urban China. Full article

In today’s rapidly evolving organizations, talent management plays a critical role in driving sustainable growth. Talents, particularly those exhibiting leadership potential, are often seen as essential assets for organizational development. However, the presence of high employee’s leadership potential can also generate adverse emotional reactions from leaders, potentially leading to behaviors such as leader jealousy and leader ostracism. This study investigates the dark side of employee’s leadership potential by examining the mechanisms through which employee’s leadership potential influences leader ostracism, with leader jealousy acting as a mediator. Drawing on social comparison theory, we propose a theoretical model that includes organizational competitive climate and leader’s core self-evaluation as moderating factors. Using a three-wave survey of 672 leaders in the Chinese construction industry, hierarchical regression analysis was employed to test the hypotheses. The results show that employee’s leadership potential significantly increases both leader jealousy and leader ostracism, with leader jealousy serving as a mediator. Moreover, a high organizational competitive climate strengthens the relationship between employee’s leadership potential and leader jealousy, thereby enhancing the entire mediated effect. In contrast, high leader core self-evaluation weakens the relationship between employee’s leadership potential and leader jealousy, reducing the likelihood of leader ostracism and attenuating the mediated effect. This study provides both theoretical contributions and practical insights for organizations seeking to manage high-leadership potential employees while minimizing the risk of negative leadership behaviors. Full article

In the evolving landscape of online language learning, informal digital learning of English (IDLE) plays a crucial role, particularly among English as a foreign language (EFL) learners. Previous research has investigated the direct impact of IDLE on EFL learners’ engagement. However, little attention has been given to the underlying mechanisms that drive this relationship. To address the gap, this study examined the mediating roles of flow, online self-efficacy, and behavioral intention in the relationship between IDLE and EFL learners’ engagement, with survey data collected from 1194 Chinese EFL learners. Findings reveal that flow, online self-efficacy, and behavioral intention serve as key mediators between IDLE and EFL learners’ engagement in the digital setting. These results offer deeper insights into how informal digital learning influences EFL learners’ engagement in digital contexts, providing valuable implications for both educational theory and digital learning practices. Full article

As virtual influencers gain popularity, understanding the factors driving consumer responses is essential. However, limited research explores how perceived value (informativeness, entertainment, novelty, and incentives) and consumer engagement influence purchase intention. Perceived value is a key predictor of consumer behavior, while consumer engagement enhances perceived value and marketing effectiveness. Additionally, the moderating roles of source credibility and generational cohort remain underexplored. This study examines these relationships through a survey of 331 Chinese Generation Y and Z consumers, analyzed using structural equation modeling (SEM). The results show that informativeness, entertainment, and incentives positively influence purchase intention, while novelty has a negative effect. Consumer engagement drives purchase intention and enhances perceived value. Source credibility and generational cohort moderate these effects. When source credibility is low, novelty reduces purchase intention, while incentives increase it. High source credibility makes consumer engagement more influential. Informativeness enhances purchase intention among Generation Y, whereas Generation Z is more influenced by consumer engagement. This study extends research on advertising value and consumer engagement, offering insights for brands optimizing virtual influencer marketing strategies across different consumer segments. Full article

Premium fashion brands are increasingly adopting Generative Artificial Intelligence (GenAI) to reduce costs and enhance creativity. However, consumers have mixed perceptions of clothing with AI-generated patterns (CAGPs) launched by premium fashion brands, especially in online shopping contexts where consumers cannot examine physical products firsthand. This study integrates the Theory of Planned Behavior (TPB) with Customer Perceived Value (CPV) to investigate Chinese Millennials’ attitudes and purchase intentions toward online purchases of CAGPs launched by premium fashion brands. Using a purposive sampling approach, the study collected 471 valid responses from Chinese Millennials. Structural equation modeling (SEM) was then employed to test the proposed model and hypotheses. The results reveal that perceived brand design effort and perceived price value are primary drivers of purchase intention for CAGPs from premium fashion brands, while perceived aesthetic value significantly shapes consumer attitudes. The subjective norm and attitude positively influence purchase intention. This study sheds light on the roles of aesthetic, emotional, monetary and social factors in driving purchase intention, offering practical suggestions for premium brands’ product design and marketing strategies. Full article

This study investigates the annual carbon emission disparities between privately-owned electric vehicles (EVs) and internal combustion engine vehicles (ICEVs) by developing a usage-phase life cycle assessment (LCA) model, with a focus on the synergistic impacts of grid carbon intensity, driving intensity (e.g., annual mileage), and vehicle energy efficiency. Through scenario analyses and empirical case studies in four Chinese megacities, three key findings are obtained: (1) Grid carbon intensity is the primary factor affecting the emission advantages of EVs. EVs demonstrate significant carbon reduction benefits in regions with low-carbon power grids, even when the annual mileage is doubled. However, in coal-dependent grids under intensive usage scenarios, high-energy-consuming EVs may experience emission reversals, where their emissions exceed those of ICEVs. (2) Higher annual mileage among EV owners (1.5–2 times that of ICEV owners) accelerates carbon accumulation, particularly diminishing per-kilometer emission advantages in regions where electricity grids are heavily reliant on fossil fuels. (3) Vehicle energy efficiency heterogeneity plays a critical role: compact, low-energy EVs (e.g., A0-class sedans/SUVs) maintain emission advantages across all scenarios, while high-energy models (e.g., C-class sedans/SUVs) may exceed ICEV emissions even in regions with low-carbon power grids under specific conditions. The study proposes a differentiated policy framework that emphasizes the synergistic optimization of grid decarbonization, vehicle-class-specific management, and user behavior guidance to maximize the carbon reduction potential of EVs. These insights provide a scientific foundation for refining EV adoption strategies and achieving sustainable transportation transitions. Full article

In order to cope with global warming, the Chinese government is actively promoting the “dual-carbon” target policy, a green and efficient system which will become the future development direction of China’s energy system. As the main body of the carbon emissions of enterprises is bound to be the focus of governance, we must accelerate green transformation. In this paper, we use procedural rooting theory, collect data from field interviews, and use open coding, principal axis coding, selective coding, and a theoretical saturation test to explore antecedent motivation mechanisms and the consequent pathway of the green change in corporate environmental behaviours under the “dual-carbon” goal. We aim to clarify the evolution of “internal and external factors—enterprise green change willingness—green change behavior” to construct a theoretical model. The results show that the influence of and interaction effects among the micro-level, macro-environmental level, and meso-industry level dimensions of enterprise will drive companies to make green changes and adopt green change behaviours in the forms of strategic change and innovation optimisation. This study enriches the theoretical framework of green change in corporate environmental behaviour under the rigid constraint of the “dual-carbon” goal and provides countermeasure suggestions for the successful achievement of the “dual-carbon” goal at the corporate body level. Full article

Amid growing sustainability demands, limited research explores how green organizational practices influence employee retention through personal norms. In the Chinese manufacturing sector, where talent retention is increasingly critical amid environmental challenges, this study examined the relationships between green shared vision, green corporate social responsibility (CSR), green psychological climate, and green human resource management (HRM) with employee retention, mediated by personal norms. A quantitative research design was adopted, collecting survey data from 263 employees working in the Chinese manufacturing sector. Structural equation modeling (SEM) using Smart PLS tested the direct and mediating effects of personal norms on the relationship between green organizational practices and employee retention. The results reveal that green shared vision and green CSR significantly enhance personal norms, which positively impact employee retention. Personal norms mediate the relationships between these two practices and retention. However, green psychological climate and green HRM show no significant direct or mediated effects on personal norms and retention, suggesting the need for additional contextual alignment to enhance their effectiveness. Organizations should integrate sustainability into their strategic vision and CSR activities to foster personal norms that drive retention. Efforts such as green communication campaigns, community-centered CSR programs, and targeted green HRM policies can strengthen employees’ alignment with organizational goals and reduce turnover. This study extends the theory of planned behavior (TPB) by demonstrating the role of personal norms as a mediator, providing fresh insights into the psychological mechanisms linking green practices to employee retention within China’s manufacturing context. Full article

The spread of the pandemic has posed unprecedented challenges for Chinese enterprises, particularly in the new energy sector, where numerous companies have been forced to halt their development plans and suspend projects, awaiting opportunities to restart. In this context, enterprise performance is significantly affected, making employee innovation a critical factor in business survival and growth amid adversity. This study explored the intrinsic link between inclusive leadership styles and employees’ innovative behaviors, with a particular focus on introspection and sense of accomplishment as key psychological mechanisms that drive innovation. Through mediation analysis, this study investigated how inclusive leadership could foster employees’ innovative behaviors by influencing their introspection and sense of achievement. This study incorporated psychological safety and organizational support as moderating variables in its research methodology. Psychological safety refers to the extent to which employees can feel accepted and respected within an organization, whereas organizational support encompasses the assistance and resources provided by the organization. This study employed a detailed questionnaire to assess employees’ perceptions of inclusive leadership, introspection, innovation behavior, psychological safety, and organizational support in energy companies. Following data collection, IBM statistic SPSS 27 software was used for correlation, regression, and moderated mediation analyses. This article concludes that leaders should not only focus on performance, but also on the psychological development of employees, such as their sense of achievement and introspection. Full article

With the rise of virtual idols in marketing, especially in collectivist cultures, their impact on consumer behavior warrants further exploration. This study applies social identity theory, flow theory, and the SOR model to examine how collectivism and virtual idol characteristics (external characteristics, content features, and homophily) influence Chinese consumers’ purchase intentions through parasocial interaction (PSI) and flow experience. A survey of 496 respondents, analyzed via structural equation modeling (SEM), shows that collectivism and virtual idol characteristics positively affect PSI, with homophily having the strongest impact. PSI enhances flow experience, and both PSI and flow experience drive purchase intention. PSI and flow experience serve as dual mediators in the model. This study advances research by empirically validating collectivism’s role in PSI, differentiating virtual idol characteristics, and modeling dual mediation. The key contributions of this study are as follows: (1) treating culture as an independent variable to empirically examine its impact on psychological mechanisms, and (2) deconstructing virtual idol characteristics into three dimensions—external, content, and homophily—to reveal their distinct influence on consumer psychology. Findings offer strategic insights for brands, recommending a dual-track approach integrating cultural adaptation and feature design to enhance consumer engagement and purchasing behavior. Full article

Xishu Gardens, an exemplary narrative of classical Chinese gardens, faces challenges in preserving its commemorative spatial structures while accommodating modern visitors’ needs. While trajectory analysis is critical, existing studies struggle to interpret multi-dimensional perception-preference data owing to spatiotemporal mismatches in multi-source datasets. This study adopted an improved Ward–K-medoids hybrid clustering algorithm to analyze 885 trajectory samples and 34,384 synchronized data points capturing emotional valence, cognitive evaluations, and dwell time behaviors via panoramic digital twins across three heritage sites (Du Fu Thatched Cottage, San Su Shrine, and Wangjiang Tower Park). Our key findings include the following: (1) Axial bimodal patterns: Type I high-frequency looping paths (27.6–68.9% recurrence) drive deep exploration, in contrast to Type II linear routes (≤0.5% recurrence), which enable intensive node coverage. (2) Layout-perception dynamics: single-axis layouts maximize behavioral engagement (DFTC), free-form designs achieve optimal emotional-cognitive integration (WTP), and multi-axis systems amplify emotional-cognitive fluctuations (SSS). (3) Spatial preference hierarchy: entrance and waterfront zones demonstrate dwell times 20% longer than site averages. Accordingly, the proposed model synchronizes Type II peak-hour throughput with Type I off-peak experiential depth using dynamic path allocation algorithms. This study underscores the strong spatial guidance mechanisms of Xishu Gardens, supporting tourism management and heritage conservation. Full article

This study investigates factors influencing Chinese travelers’ behavior in sharing travel experiences on social media, using the frameworks of Perceived Value Theory, the Theory of Reasoned Action, and Social Influence Theory. This study aims to explore the intrinsic motivations and social factors that drive individuals to engage in sharing travel experiences and examine how these factors, along with personal characteristics, influence this behavior. Data from 489 participants were collected using a structured survey method and indicate that convenience value, emotional value, attitude, subjective norm, social identity, and group norm significantly affect sharing behavior, while monetary and social values do not. Additionally, personality traits such as openness, agreeableness, and conscientiousness moderate the relationship between these values and the sharing behavior. This study contributes to the literature by providing a deeper understanding of the motivations underlying travel experience-sharing on social media in China and by examining how both intrinsic motivations and social influences affect this behavior. The findings offer practical implications for tourism marketers to prioritize seamless digital platforms, emotionally engaging experiences, and personalized campaigns. Governments can support these efforts by promoting policies that enhance platform convenience and foster social engagement. Focusing on Chinese travelers, this research also provides a cross-cultural perspective, deepening the theoretical understanding of travel experience-sharing. Full article

Despite the growing popularity of digital artworks that use nonfungible tokens (NFTs), systematic frameworks for analyzing the content characteristics driving NFT artworks’ creation, sale, and collection remain underdeveloped. Drawing on key insights from a diffusion of innovations, social identity, and value-based adoption theories, this study constructed a conceptual model that identified six key factors: uniqueness, profitability, prestige, community engagement, collectability, and compatibility. These factors’ effects on consumer purchasing behavior were investigated using perceived value as a mediator. Empirical data were collected from 300 Chinese participants and analyzed using multiple regression analysis. The significant direct effects of profitability, community engagement, collectability, and compatibility on purchasing behavior were identified. Uniqueness and prestige were found to exert indirect effects mediated by perceived value. Furthermore, a fuzzy-set qualitative comparative analysis uncovered configurations of content characteristics sufficient for driving high purchasing behavior. It highlighted low community engagement as a necessary condition for low purchasing behavior and underscored multiple attributes’ synergistic interplay in shaping consumer decisions. By integrating these attributes into the conceptualization of NFT content characteristics and synthesizing theoretical insights, this study enhances the understanding of consumer behavior. Recommendations are provided for NFT creators and platforms to improve content quality, cater to diverse preferences, and enhance user experiences, thereby promoting adoption and sustainable growth. Full article

Revisit intention has been a focal point of research in the academic community over the past decade. However, regional tourism often faces challenges of low revisit rates due to the phenomenon of homogenized development. It is particularly crucial to systematically explore the impact of revisit intention through sustainable design approaches, taking into account the ethnic characteristics of the region. This study uses Chinese ethnic minority tourism destinations as a case, applying the Theory of Planned Behavior framework. The research employs Exploratory Factor Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling to analyze tourist behavior data. This study examines the effects of cultural representation, emotional resonance, spatial attributes, and other key factors on tourists’ revisit intention. The findings are as follows: (1) cultural representation and emotional resonance influence personal attitude; (2) cultural representation and information dissemination affect subjective norms; (3) spatial attributes, information dissemination, and policy support influence subjective norms; and (4) personal attitude, subjective norms, and perceived behavioral control collectively drive tourists’ revisit intention. This study provides practical strategies for optimizing destination design, marketing, and policy frameworks, contributing to the sustainable development of ethnic cultural tourism destinations. Full article