Chinese Journal of Social Science and Management

HOW CAN QUALIFICATION REDUNDANCY BE TRANSFORMED INTO AN INNOVATION ADVANTAGE? THE MEDIATING ROLE OF KNOWLEDGE SHARING AND THE MODERATING MECHANISM OF PERCEIVED LEADER OVERQUALIFICATION

2025-08-20T08:27:50+07:00

With the widespread expansion of higher education and accelerating economic transformation, the phenomenon of overqualification has become increasingly prevalent, warranting deeper investigation into its impact on team innovation performance. Based on the Self-Determination Theory, this study proposes a moderated mediation model to examine how team perceived overqualification influences team innovation performance through team knowledge sharing, and how perceived leader overqualification moderates these relationships. Data were collected using multi-source surveys from 134 teams (534 team members) across various industries. Analyses were conducted using Mplus 8.3 and SPSS 27.0. The results reveal that (1) team perceived overqualification significantly and positively affects team innovation performance, (2) team knowledge sharing mediates the relationship between team perceived overqualification and team innovation performance, and (3) perceived leader overqualification positively moderates the effect of team perceived overqualification on knowledge sharing, and also strengthens the indirect effect of team perceived overqualification on innovation performance through knowledge sharing. These findings uncover the complex mechanisms through which team overqualification impacts innovation performance, enrich the theoretical understanding of overqualification, and offer practical insights for managing human capital and stimulating team innovation in organizations.

THE CHALLENGES AND COUNTERMEASURES FACED BY THE DEVELOPMENT OF CHINESE EDUCATION IN THAILAND IN THE NEW ERA

2025-04-24T11:22:21+07:00

As the nation with the world’s second-largest overseas Chinese population, Thailand assumes significant importance in Chinese language education. With China’s entry into a new era and the deepening of bilateral cooperation between China and Thailand across economic, trade, technological, cultural, and educational domains, the demand for Chinese language learning in Thailand has grown steadily. Chinese education initiatives, particularly concerning traditional Chinese private schools, are now poised to embrace new development opportunities. This study employed qualitative research methods, integrating literature analysis and in-depth interviews, to examine the challenges confronting the existing development models of Chinese education in Thailand from a macro-level perspective within the context of the new-era bilateral development, and to explore corresponding strategies. The findings indicate that the development of Chinese education in Thailand urgently requires a transition from traditional models toward teacher localization and teaching professionalism. Cultivating a robust cadre of local Chinese language teachers is essential to laying the foundation for educating more students proficient in the cultures of both nations, thereby providing “Mandarin+” composite talent support for deepening Sino-Thai cooperation in the economic, trade, and cultural sectors, among others.

A STUDY ON THE CURRENT STATUS OF CAREER GUIDANCE AT THE SCHOOL OF EDUCATION AND PSYCHOLOGICAL SCIENCES, SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING

2025-05-23T14:06:20+07:00

This study focuses on the School of Education and Psychology at S University, investigating the current status, existing problems, and improvement strategies of college student employment guidance. The research adopts a mixed-methods approach, combining questionnaire surveys and interviews, and utilizes mean values and standard deviations for data analysis. The results indicate that student satisfaction is relatively low in areas such as employment market development, homeschool communication, recruitment activity organization, and full-process support, reflecting deficiencies in resource integration, service system structure, and information feedback mechanisms. To enhance the effectiveness of employment guidance, the study proposes several recommendations, such as 1) strengthening university-enterprise cooperation and diversifying guidance formats, 2) improving home-school collaboration and introducing industry experts and alumni to the process, 3) enhancing organizational coordination and innovating diverse recruitment forms, and 4) reinforcing comprehensive employment tracking and graduate information management. The findings offer valuable insights for higher education institutions seeking to improve their employment guidance systems and enhance students’ employment quality.

A STUDY ON THE METHODS OF TRANSLATING THAI UNIVERSITY NAMES INTO CHINESE

2025-04-30T14:47:15+07:00

With the increasingly close exchanges between China and Thailand in the fields of education, culture, and economy, the translation of the Chinese names of Thai colleges and universities has become an important link in cross-cultural communication. Taking the names of Thai colleges and universities as the object of study, this study explored the translation strategies of their Chinese names and the linguistic and cultural factors behind them in light of translation theories. By categorizing and statistically analyzing the three main translation strategies of Thai university names, including phonetic translation, Italian translation, and phonetic-meaning combination, the study found that phonetic translation is mostly used for geographical names and proper nouns, while Italian translation tends to convey semantic information about the names, and phonetic-meaning combination is more common in names with cultural or historical significance. The choice of translation strategies is not only influenced by linguistic and cultural differences, but also closely related to the communication function of translation. This study provides theoretical support for the practice of university name translation, as well as new perspectives for Chinese-Thai cultural communication.

AN ANALYSIS OF THE PORTRAYAL OF YUAN SHIKAI’S CHARACTER AS A “PIONEER OF REFORM” IN THE TV DRAMA “TOWARDS THE REPUBLIC”

2025-03-25T13:14:35+07:00

This study focused on the portrayal of Yuan Shikai as a “pioneer of reform” in the TV drama “Towards the Republic”. Using close reading and narrative analysis, the research examined key scenes involving military, educational, police, constitutional, and judicial reforms to explore how Yuan’s character is constructed through dialogue, structure, and visual storytelling. The findings showed that the drama presents Yuan as a complex institutional reformer—pragmatic, ambitious, and constrained—challenging the traditional moral condemnation of him as a usurper. By blending historical fact and fiction, the series redefines public memory and offers a nuanced understanding of Yuan’s role in the modernization efforts of the late Qing dynasty. This research contributes to both the study of historical figure representation and the role of television drama in shaping historical consciousness.

AUTONOMOUS LEARNING ABILITY OF TRILINGUAL CHINESE LEARNERS IN THAILAND AND ITS PREDICTIVE EFFECT ON OVERALL ACADEMIC PERFORMANCE

2025-06-15T22:46:30+07:00

Autonomous learning enables learners to engage more proactively in blended learning environments and is closely related to their academic performance. However, research on the autonomous learning ability of trilingual Chinese language learners and its relationship with academic performance is limited. This study aimed to gain an in-depth understanding of the current state of autonomous learning ability among Thai trilingual learners of Chinese in comprehensive Chinese courses, as well as to explore the relationships among its various dimensions and factors. In addition, the study investigated the predictive effect of their autonomous learning ability on overall academic performance in the course. Using a randomized sampling method and a standardized questionnaire, data were collected from third-year undergraduate students majoring in Chinese Language and Culture at a university in Northern Thailand. A total of 84 valid responses were obtained. The results showed that 1) the participants’ overall level of autonomous learning ability was moderate, which is generally consistent with the autonomous learning ability of international Chinese learners. Moreover, this ability is not significantly influenced by their Chinese proficiency level. Further, 2) the psychological and competence dimensions, as well as the competence and behavioral dimensions of the participants’ autonomous learning ability, significantly influence each other. This pattern is consistent with findings from studies on other international Chinese learners. Among these dimensions, learning management ability serves as a key factor in the development of their autonomous learning ability. Finally, 3) the psychological dimension of autonomous learning, particularly self-efficacy, is a critical predictor of students’ overall academic performance. These findings offer valuable insights for Chinese language instructors in Thai universities, especially in terms of optimizing students’ autonomous learning and understanding its correlation with academic performance in the context of blended language instruction.

DRIPPING WATER WEARS THROUGH STONE: HOW DOES TIME PRESSURE AFFECT EMPLOYEE KNOWLEDGE HIDING? EXPLORING THE KEY ROLES OF PSYCHOLOGICAL DISTRESS AND BENEVOLENT LEADERSHIP

2024-10-22T09:02:31+07:00

In the context of market competition, knowledge has become crucial for organizations to gain a competitive advantage, leading them to expect employees to share knowledge openly. In reality, however, employees often act contrary to this expectation due to the work environment. This study, based on the Job Demands-Resources (JD-R) model, investigated how time pressure affects the hiding of knowledge, considering the roles of psychological distress and benevolent leadership in this process. Utilizing purposive sampling, 525 questionnaires from employees in the creative departments of advertising companies were collected and analyzed. The findings revealed that time pressure promotes knowledge hiding behavior by increasing psychological distress, while benevolent leadership can alleviate this pressure and distress, thereby reducing the concealing of knowledge. This study not only extends the application of the JD-R model in the field of organizational behavior but also provides theoretical support for managers to better understand and manage employees’ knowledge hiding, highlighting the crucial role of leadership style in coping with time pressure.

MECHANISMS INFLUENCING THE PROFESSIONAL COMPETENCE OF IDEOLOGICAL AND POLITICAL COURSE TEACHERS IN CHINESE ETHNIC MINORITY VOCATIONAL COLLEGES: A HUMAN RESOURCE MANAGEMENT PERSPECTIVE

2025-08-01T09:38:57+07:00

This study focused on the unique context of teacher management in vocational colleges in ethnic minority regions, exploring the key mechanisms influencing the professional competence of ideological and political theory course instructors from a Human Resource Management (HRM) perspective. Using a sample of 21 full-time ideological and political theory course instructors from H Vocational College in a certain ethnic minority region in southwest China, data were collected through structured questionnaires, and stepwise regression analysis was used to identify the mechanism by which teacher human resource management affects professional competence. The study found that career management has the most significant impact on teachers’ personality traits (β = 0.853, p < 0.01); training and development management had a significant positive impact on teaching ability (β = 0.438, p < 0.05), knowledge management had a significant positive impact on knowledge literacy (β = 0.606, p < 0.01), and incentive management had a significant positive impact on professional attitude (β = 0.604, p < 0.01). The results reveal that there is a certain mismatch between institutional design and teachers’ actual needs in the implementation of dimensions such as incentive management and knowledge management, which requires attention and adjustment in management practices. Based on this, this study constructed a teacher competency-oriented HRM path model applicable to the context of higher vocational education in ethnic regions, thereby providing empirical evidence and policy recommendations for optimizing teacher management systems.

PHONOLOGICAL CHANGES AND LANGUAGE CONTACT DIFFERENCES OF CHINESE LOANWORDS IN THE DAI LANGUAGE: A COMPARATIVE STUDY OF XISHUANGBANNA (CHINA) AND CHIANG KHAM (THAILAND)

2025-08-05T08:30:15+07:00

This study investigates the phonological adaptation of Chinese loanwords in Xishuangbanna Dai (China) and Chiang Kham Dai (Phayao, Thailand). Using fieldwork and comparative analysis based on recordings, interviews, and relevant texts, it examines how loanwords are integrated into local phonological systems. The results show that both varieties preserve some Old Chinese loanwords but differ in their treatment of Modern Mandarin borrowings: Xishuangbanna Dai displays systematic phonological shifts, whereas Chiang Kham Dai tends to retain its original phonology. These findings highlight the role of contact depth and sociolinguistic environment in shaping phonological change and offer new insights into the localization of Chinese across languages.

QUALITATIVE STUDY ON THE CONSTRUCTION MODEL OF MUNICIPAL INDUSTRY-EDUCATION ALLIANCES IN CHINESE VOCATIONAL EDUCATION BASED ON STRUCTURED INTERVIEWS

2025-04-10T16:28:43+07:00

This study primarily explored the construction models and operational mechanisms of municipal industry-education consortia in Chinese vocational education. Based on the policy context of China’s opinions on deepening the reform of modern vocational education system construction and related policies, the study analyzed the critical role of industry-education integration in promoting industrial upgrading and technical talent cultivation. Using a structured interview method, the researchers interviewed selected government officials, university leaders, corporate executives, and experts from research institutions. Grounded in collaborative governance and systems theory, qualitative data analysis was conducted across three dimensions: talent resource supply, technological resource empowerment, and administrative resource enhancement. The findings revealed a high degree of alignment within the consortia in areas such as program design, curriculum development, teaching practice, and technological innovation, with notable achievements in government policy support and resource integration. However, challenges such as outdated curricula, insufficient depth in school-enterprise collaboration, and low efficiency in technology transfer constrain further development. The study identifies four typical models and offers policy recommendations, including improving incentive mechanisms, enhancing teachers’ industry experience, optimizing evaluation systems, and promoting innovation incubation, providing valuable references for advancing the high-quality development of consortia.

THE ALLOCATION OF R&D RESOURCES IN CHINESE UNIVERSITIES BASED ON PRINCIPAL COMPONENT ANALYSIS AND SPATIAL ECONOMETRIC MODELS

2025-02-19T19:39:12+07:00

In the era of the global knowledge economy, the rational allocation of university R&D resources is crucial for enhancing technological innovation and regional economic development. Based on provincial-level data of Chinese universities from 2019 to 2023, this study constructed a University R&D Input Index (RDI) and Output Index (RDO) using Principal Component Analysis (PCA) to evaluate the allocation of research resources and innovation capacity. In addition, spatial econometric models were employed to analyze the spatial distribution characteristics of R&D resources. The findings revealed that universities in eastern China generally exhibit higher RDI and RDO values, while those in western regions tend to have lower indices, indicating significant regional disparities in technological innovation capabilities. Spatial autocorrelation analysis shows that university R&D resources do not exhibit significant spatial agglomeration, with low overall Moran’s I values suggesting limited spatial spillover effects. However, OLS regression results demonstrate a stable and significant positive relationship between RDI and RDO (regression coefficient > 0.92, p < 0.001), indicating that R&D investment remains a key driver of innovation output. The considerable fluctuations in RDI and RDO observed in some provinces reflect the instability of research funding and the cyclical nature of innovation transformation. The study recommends enhancing regional collaborative innovation to optimize the allocation of university R&D resources, promoting the orderly diffusion of technological resources from the more developed eastern regions to the west, and strengthening university-industry-research collaboration to improve the efficiency of research investment. These findings provide theoretical support and empirical evidence for the formulation of higher education research resource allocation and regional innovation policies.

THE CONFIGURATIONAL EFFECTS OF TECHNOLOGICAL INNOVATION EFFICIENCY IN NEW ENERGY VEHICLE ENTERPRISES

2024-06-19T09:31:24+07:00

Cultivating the New Energy Vehicle (NEV) industry is a pivotal strategy in addressing energy crises and environmental pollution, with technological innovation by enterprises becoming increasingly crucial. Focusing on a sample of 139 NEV enterprises, this study constructed an analytical framework for examining industrial policy, innovation networks, and corporate technological innovation efficiency, grounded in innovation theory. By employing Qualitative Comparative Analysis (QCA) and Necessary Condition Analysis (NCA), it investigates from a configurational perspective the mechanisms and driving paths through which various factors and configurations influence the efficiency of technological innovation. The research further uncovers the core conditions and synergistic effects underlying the innovation efficiency of NEV enterprises, resulting from the interaction between policy and network factors. The key findings included the following. First, neither industrial policies nor innovation networks alone were found to be necessary conditions for achieving high levels of technological innovation efficiency. Second, the factors related to innovation networks exert a universal impact on corporate technological innovation efficiency. As the industry matures, collaborative innovation emerges as a vital component in an enterprise’s strategy for gaining a competitive advantage. Finally, there exists a differential driving effect of industrial policies and innovation networks on the technological innovation efficiency of NEV enterprises, highlighting the intricate interplay and varying significance of these two layers of factors.

THE CONTENT ANALYSIS AND TREND RESEARCH OF HOT TOPICS IN INTERNATIONAL CHINESE EDUCATION ONLINE SEMINARS (2019-2024)

2025-04-16T13:25:16+07:00

The convening of the First International Chinese Language Education Conference in December 2019 marked the entry of International Chinese Language Education into a new phase of high-quality development. During this period, Chinese education experts delivered numerous online lectures on this subject for audiences, both domestically and internationally. However, systematic research focusing on the content of these significant lectures remains notably absent. To address this gap, this study collected 211 online lectures on International Chinese Language Education from platforms such as Bilibili and Chinese Plus (2019-2024) as research samples. Employing an integrated methodology of literature review, content analysis, and statistical analysis, it systematically investigated the hot topics and evolving trends found within the lectures during this period. Through unified categorization and statistical analysis, 15 research categories were identified. Building on analyses of quantitative trends, platform distribution, and presenter profiles, the study innovatively distilled 8 core thematic hotspots. Based on the data analysis, 3 targeted recommendations and 8 macro-level suggestions are proposed. This research not only provides novel perspectives and empirical evidence for scholarly exploration in International Chinese Language Education but also oﬀers actionable recommendations for practitioners in the field.

THE ECONOMIC TRANSFORMATION PATH OF PHUKET, THAILAND, UNDER THE SOUTHERN ECONOMIC CORRIDOR (SEC) STRATEGY

2025-07-30T18:32:38+07:00

The COVID-19 pandemic revealed the systemic vulnerability of Phuket’s tourism-dependent economy, highlighting weak social resilience and limited industrial linkage. Yet, empirical studies on how to translate the national Southern Economic Corridor (SEC) strategy into actionable local programs remain scarce. This study aimed to identify areas of consensus and divergence in Phuket’s post-pandemic transformation, examine how “policy awareness, governance trust, and economic confidence” inﬂuence residents’ migration and transformation intentions, and propose a “governance–industry–society” collaborative pathway to drive structural change. Using a mixed-methods design combining surveys and semi-structured interviews with tourism workers, alternative industry workers, residents, community organizations, and local officials, the study found that residents strongly support economic diversification and reduced tourism dependence but show low awareness of the SEC strategy as well as weak trust and participation in local governance. Three group profiles—“opportunistic,” “disillusioned,” and “observant”—were identified, with economic confidence and policy awareness significantly aﬀecting migration intentions. The paper recommends developing “intermediate node projects” such as logistics hubs, light-processing zones, and training incubators to convert the SEC from a “map vision” into “local action.” The findings enrich the theoretical perspective of “local capacity structures” in tourism-dependent city transitions and provide practical pathways for aligning Phuket’s development with the SEC strategy.

THE FACTORS INFLUENCING IMPULSE PURCHASES OF ONLINE KNOWLEDGE-BASED PAID PRODUCTS BASED ON THE CIFE MODEL—THE MODERATING EFFECT OF CONSUMER CONFIDENCE

2024-08-31T04:28:52+07:00

In the context of global sustainable development, green transition and low-carbon development have become essential pathways for enterprise growth. Digital transformation, especially driven by technologies such as big data, artificial intelligence, blockchain, and cloud computing, has become a key driver of corporate competitiveness and environmental performance. Given that China’s manufacturing sector is a major source of pollution, a critical research issue is how to improve corporate environmental performance through digital transformation and green technological innovation. Based on the sustainable development theory, green technological innovation theory, and other related perspectives, this study constructed a model to examine the impact of digital transformation on corporate environmental performance, examining the mediating role of green technological innovation and the moderating eﬀect of environmental regulation. Using panel data from Chinese listed companies in the Shanghai and Shenzhen A-share markets from 2010 to 2022, fixed eﬀects and threshold eﬀects models were employed for empirical analysis. The results indicate that: (1) digital transformation has a significant positive impact on corporate environmental performance; (2) green technological innovation plays a mediating role between digital transformation and environmental performance; (3) command-and-control, market-based, and voluntary environmental regulations have a negative moderating eﬀect on the relationship between digital transformation and green technological innovation, suggesting that excessive regulation may inhibit the eﬀectiveness of digital transformation; (4) market-based environmental regulation plays a positive moderating role in the impact of green technological innovation on corporate environmental performance. The study also finds that the moderating eﬀect of environmental regulation has a threshold, indicating that its impact depends on the intensity or implementation method. This research provides theoretical support for corporate green and digital transformation and oﬀers practical insights for optimizing environmental regulation policies.

THE IMPACT OF ARTIFICIAL INTELLIGENCE ON DUAL INNOVATION AMONG EMPLOYEES

2025-02-28T15:21:04+07:00

This study aims to explore how the usage of Artificial Intelligence (AI) aﬀects employees’ exploitative and exploratory innovations, and further analyze the mediating role of positive emotions in this process. Based on the cognitive appraisal theory and the feelings-as-information theory, the study proposes that AI usage can enhance employees’ work efficiency, leading to positive evaluations and promoting positive emotions. However, these emotions may result in employees’ dependency on AI, which could hinder the development of dual innovation. Through a questionnaire survey and empirical analysis of employees in enterprises, the results indicate that the use of AI technology has a significant positive impact on both exploitative and exploratory innovations. However, while the negative impact of positive emotions on exploitative innovation is not significant, it has a significant negative impact on exploratory innovation. The study suggests that AI technology contributes to the enhancement of employees’ dual innovation capabilities, but the positive emotions it induces may reduce employees’ willingness to explore. Therefore, enterprises should optimize AI empowerment mechanisms and strengthen employees’ motivation for exploratory innovation to fully leverage AI’s potential in promoting dual innovation. This study extends the application of the cognitive appraisal theory to the domain of innovation and provides empirical evidence for the context-dependent and adaptive functions of emotions within the framework of the feelings-as-information theory. It challenges the conventional view that positive emotions always produce favorable outcomes and lays a theoretical foundation for future exploration of the multifaceted roles of emotions.

THE IMPACT OF BOUNDARY-SPANNING SEARCH ON THE INNOVATION CAPABILITY OF HIGH-TECH ENTERPRISES

2025-05-16T15:22:04+07:00

Innovation capability is key to gaining core competitiveness for enterprises and is also one of the decisive factors for their survival and success. As the competitive environment becomes increasingly fierce, market demands become progressively complex, and technological innovation becomes ever more rapid, more and more enterprises have begun to break boundaries and seek external knowledge to resolve the contradiction between innovation needs and limited internal capabilities, making up for their own deficiencies in innovation resources. This study focused on the practical question: “How can high-tech enterprises use boundary-spanning search to enhance innovation capability?” Based on existing theories and literature, it proposed theoretical hypotheses and constructed a theoretical model. Well-established measurement scales from both domestic and international literature were adopted to assess each variable. The questionnaire was designed to cover the following aspects: Basic information of the enterprise and the respondent, the actual practices of the enterprise’s technological and market knowledge boundary-spanning search behaviors, the enterprise’s absorptive capacity, its perceived business environment, and its innovation capability. A total of 422 valid questionnaires were collected for statistical analysis. Empirical research results showed that boundary-spanning search behavior significantly promotes the improvement of innovation capability. Diﬀerent knowledge boundary-spanning behaviors have varying eﬀects on enhancing innovation capability, and absorptive capacity plays a mediating role between boundary-spanning search and innovation capability. The impact of boundary-spanning search on absorptive capacity is moderated by the perception of the business environment. The above research conclusions not only enrich the research findings in the field of knowledge search and open innovation but also provide certain theoretical guidance and practical reference for how high-tech enterprises can formulate search strategies and enhance innovation capability paths in the context of open innovation in China.

THE IMPACT OF ESG DISCLOSURE TRANSPARENCY ON M&A PERFORMANCE: AN EMPIRICAL STUDY BASED ON CHINESE A-SHARE LISTED COMPANIES

2025-09-23T17:00:54+07:00

Against the backdrop of increasing urgency in global climate governance, corporate ESG (Environmental, Social, and Governance) responsibilities have drawn significant attention. In China’s A-share market, issues such as fragmented information, excessive qualitative content, and insufficient structure in ESG transparency level have led to prominent information asymmetry risks in M&A activities. Existing research focuses predominantly on ESG ratings and has yet to systematically reveal the mechanisms through which ESG transparency level inﬂuences M&A performance, particularly lacking empirical examination of the mediating eﬀect of financing constraints. Based on the principal-agent theory and other theoretical frameworks, this study combines literature review and empirical analysis, using A-share listed companies from 2010 to 2021 as the sample. By selecting Bloomberg ESG disclosure scores and integrating data from the CSMAR database, 870 valid M&A samples are obtained after screening. The study investigates how ESG transparency level enhances M&A performance by mitigating information asymmetry and verifies the mediating role of financing constraints. Through the construction of multiple linear regression models with control variables, the findings indicate that (1) ESG transparency level significantly improves M&A performance (the regression coefficient for long-term M&A performance is 0.010, significant at the 1% level), (2) ESG transparency level significantly alleviates financing constraints (coefficient of -0.014, significant at the 1% level), and (3) financing constraints have a significant negative impact on M&A performance (coefficient of -0.199, p < 0.05), with mediation tests confirming that financing constraints plays a partial mediating role in the “ESG transparency level–M&A performance” pathway. The conclusions demonstrate that ESG transparency level not only directly enhances M&A performance but also indirectly improves M&A outcomes by alleviating financing constraints. This research innovatively links disclosure transparency with M&A performance, reveals its underlying mechanism, and is the first to validate the critical mediating role of financing constraints. On a practical level, it is recommended that regulatory authorities accelerate the establishment of a mandatory ESG disclosure framework and guide resource allocation toward enterprises with higher transparency through policies such as green credit and tax incentives.

THE IMPACT OF MANAGERIAL OVERCONFIDENCE ON FIRMS’ CROSS-BORDER INVESTMENT PERFORMANCE

2025-08-06T15:26:36+07:00

With the accelerated development of the digital economy and the continuous restructuring of global value chains, Chinese enterprises have expanded their outbound investments. However, the increasing failure rate highlights the need to improve investment performance. As key decision-makers, managers’ cognitive biases—particularly overconfidence—can significantly aﬀect strategic outcomes. Drawing on behavioral finance and upper echelons theory, this study investigates how managerial overconfidence inﬂuences the performance of cross-border investments, as well as the mediating role of resource misallocation and the moderating role of institutional distance. This study uses Chinese listed companies on the Shanghai and Shenzhen stock exchanges that engaged in cross-border investments during 2016-2022 as its research sample and constructs an analytical framework of “psychological traits–investment behavior–performance outcomes”. The findings reveal that overconfident managers tend to reduces investment performance, with resource misallocation serving as a critical mediator. Moreover, both formal and informal institutional distances between home and host countries mitigate this negative eﬀect. The study suggests that firms carefully assess institutional diﬀerences to mitigate cognitive bias–induced risks and enhance the success rate of international investments.

THE IMPACT OF TRACEABILITY INFORMATION IN IMPORTED AGRICULTURAL PRODUCT SUPPLY CHAINS ON CHINESE CONSUMERS’ TRUST: THE MEDIATING ROLE OF PERCEIVED VALUE AND THE MODERATING EFFECT OF CONSUMER ETHNOCENTRISM

2025-07-15T11:20:54+07:00

As the world’s largest importer of agricultural products, China has continuously expanded its import scale, eﬀectively meeting consumer demand while easing pressure on agricultural resources. With growing importance attached to supply chain traceability and consumer trust, this study developed a research framework that integrates traceability information, perceived value, ethnocentrism, and consumer trust, grounded in the Information Asymmetry Theory, Consumer Behavior Theory, S-O-R (Stimulus-Organism-Response) model, and supply chain management theory. A structured questionnaire was designed using validated scales, and was distributed in Beijing, Shanghai, Guangdong, Guangxi, Yunnan, and Guizhou. Data were analyzed through SPSS 20.0 and AMOS 28.0. The findings revealed that traceability information has significant positive eﬀects on cognitive trust, emotional trust, and perceived value. Perceived value mediates the relationship between traceability information and consumer trust, while ethnocentrism negatively moderates the impact of perceived value on trust. Based on these results, this study provides targeted managerial recommendations, oﬀering practical implications for agricultural product import enterprises and industry development.