14 Graduate Students Supported by CUFE Business School Academic Exchange Program Present Research at On-Campus Seminars

Date: 2025-01-16    ClickTimes:



From September to December 2024, 14 graduate students supported by the CUFE Business School Academic Exchange Program presented conference papers at seminars held in Main Teaching Building 708 and 615. These sessions were attended by 27 graduate students from different academic years.



Zhao Yudi, a 2023 PhD candidate in Business Management, presented her paper “Digital Transformation, Entrepreneurial Risk Perception, and Corporate Innovation: Moderating Effects Based on Market Dynamics” reported at the “2024 China Marketing Association of Higher Education Annual Conference & Doctoral Forum” in Changsha, Hunan in July 2024. The study explores how digital transformation influences entrepreneurial behavior and subsequent corporate innovation.


Lan Minghui, a 2022 PhD candidate in Technological Economics and Management, shared her paper “Forward-Looking Information and Analyst Predictions: Machine Learning-Based Research Methods” from the “2024 Academic Annual Meeting of the Intelligent Finance Branch of China Business Accounting Association” in Kunming, Yunnan. The research investigates how IPO forward-looking information affects analyst forecasting behavior.


Xu Shunzhi, a 2021 PhD candidate in Business Management, presented his paper “How Do Internet Entrepreneurs’ Traits and Narrative Styles Affect Financial Resource Acquisition? An Analysis Using NCA and QCA” reported at the “China Marketing Association of Higher Education Doctoral Forum.” The study addresses financing challenges for internet-based SMEs through a configurational perspective, combining NCA and QCA methods to reveal pathways for achieving high/low financing performance.


Wang Xuan, a 2022 PhD candidate in Business Management, discussed his paper “Impact of AI-Generated Advertising Visual Elements on Consumer Attitudes” presented at the “China Marketing Association of Higher Education Annual Conference” in Changsha. The research examines how AI-generated visual elements in advertisements shape consumer responses.


Wang Jiaxue, a 2023 Master’s candidate in Business Management, shared her literature review “Omnichannel Return Management: Current Research Hotspots and Future Directions” based on 126 papers from CNKI and Web of Science. The study systematically categorizes research themes across different business models, providing new perspectives for omnichannel return management scholarship.


Yang Xue, a 2022 PhD candidate in Business Management, presented her paper “A Blessing in Disguise: Can Sanctions Shock Force Firms to Improve M&A Performance?” from the “8th New Silk Road Accounting Forum” in Chengdu, Sichuan. The findings reveal that U.S. sanctions unexpectedly enhance M&A performance among affected Chinese firms, particularly with strong government support.


Li Mengjia, a 2024 PhD candidate in Business Management, reported her study “Product Quality Crises and Corporate Financing Constraints: Evidence from CCTV 3·15 Exposures,” presented at the CJAS 2024 Academic Symposium in Nanchang, Jiangxi. The paper demonstrates how product quality crises exacerbate corporate financing constraints.


Li Yue, a 2022 PhD candidate in Business Management, shared her experimental research “How People Embrace GenAI: When Process Demonstration Fosters Cognitive Flow” from the 21st JMS China Marketing Science Annual Conference. Through five experiments, the study reveals that process-oriented (vs. outcome-oriented) demonstrations of AI-generated content enhance consumer engagement.


Peng Li, a 2021 PhD candidate in Business Management, discussed her paper “Consumer Perceptions of Plagiarism: Source Effects and Mechanisms” presented at the same conference. The research shows that plagiarism of AI-generated content is perceived as less unethical than plagiarizing human-created content, with identified boundary conditions.


Qi Fen, a 2023 PhD candidate in Business Management, presented her work “De-Familization and ESG Performance in Family Firms” from the 2024 China Accounting Society Financial Management Committee Annual Meeting. The study systematically analyzes how reducing family control affects ESG outcomes in family businesses.


Bian Cheng, a 2022 PhD candidate in Business Management, shared his experimental paper “Spillover Effects of Brand Negative Information: Moderating Roles of Endorser-Brand Fit and Influence” reported at the “2nd Big Data Marketing Forum” in Shanghai. Grounded in associative learning theory, the research examines how brand scandals spread through endorsement networks.


Huang Yutong, a 2021 PhD candidate in Business Management, presented her paper “Can Bond Market Connectivity Mitigate Corporate Default Risks?” from the 2024 China Accounting Society Financial Management Committee Annual Meeting. The findings highlight that the Bond Connect program significantly reduces default risks for eligible firms.


Tang Wei, a 2023 PhD candidate in Business Management, discussed his conceptual research “Digital Leadership: Concept Development, Antecedents, and Cultivation Pathways” presented at the 12th China Human Resource Management Forum. The study synthesizes five dimensions for developing digital leadership capabilities.


Li Yuanhui, a 2024 Master’s candidate in Business Management, concluded the series with her paper “Impact of Service Agents on Customer Satisfaction: A Contextual Perspective” from the Shanghai Big Data Marketing Forum. Through simulated Taobao customer service scenarios, the research demonstrates that AI agents outperform human agents in complex task environments through expectation-disconfirmation mechanisms.


The seminars fostered active discussions between presenters and attendees, creating a dynamic exchange of ideas. All ten presenters expressed gratitude for the School’s academic support initiatives and encouraged peers to actively participate in academic conferences to broaden perspectives and deepen research capabilities.


CUFE Business School’s Academic Exchange Support Program continues to empower students through high-level scholarly engagement. By providing platforms for knowledge sharing and interdisciplinary dialogue, the program significantly enhances research quality and strengthens the School’s academic ecosystem.