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publications
Models and algorithm for the orienteering problem in a fuzzy environment
Published in International Journal of Fuzzy Systems, 2018
We often have to find an optimal route in a graph (e.g., a travel plan) while being uncertain about the exact benefit and travel time. To solve this Orienteering Problem under real-world uncertainty, we pioneer three fuzzy programming models and design a robust hybrid intelligent algorithm.
Recommended citation: Ni, Y., Chen, Y., Ke, H., & Ralescu, D. A. (2018). "Models and algorithm for the orienteering problem in a fuzzy environment." International Journal of Fuzzy Systems. 20(3):861-876.
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Impact of Heterogeneous Prior Contribution on Reciprocity in Online Sellers
Published in ICIS 2019 Proceedings, 2019
Does your online favor build a social bond or a debt ledger? Using machine learning techniques, we reveal that providing informational resources brings more reciprocation by fostering generalized social exchange, while providing instrumental resources creates self-interested and negotiated exchange, fundamentally altering community reciprocity.
Recommended citation: Chen, Y. (2019). "Impact of Heterogeneous Prior Contribution on Reciprocity in Online Sellers’ Community." ICIS 2019 Proceedings. 27.
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社会责任报告美观度对企业债务融资成本的影响研究
Published in 管理学报, 2022
How can visual appeal reduce borrowing costs of firms? With the help of deep learning techniques, we prove the financial benefit of an aesthetic CSR report, which can be further amplified by market attention.
Recommended citation: 马宝君, 宋逸兴, 陈怿, & 张健. (2022). "社会责任报告美观度对企业债务融资成本的影响研究." 管理学报. 19(12):1855-1862+1873
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Too Much of a Good Thing: Downsides of a Large Social Network and Moderating Effects of Political Skill
Published in Management and Organization Review, 2023
Is your most helpful “star” employee on the verge of becoming a bottleneck? Our study uncovers the paradox: large advice-giving networks can depress individual performance and create workflow hindrances, a cost that can be neutralized by political skill.
Recommended citation: Chen, Y., Boh, W. F., Wong, S.-S., & Shao, J. (2023). "Too Much of a Good Thing: Downsides of a Large Social Network and Moderating Effects of Political Skill." Management and Organization Review. 19(2):316-347
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The Impact of Politeness in Bidding Descriptions on Hiring Decisions in Online Labor Markets
Published in PACIS 2023 Proceedings, 2023
Does "one can never be too polite" also apply in the online gig markets? We surprisingly reveal that polite bidding in online gig platform is negatively associated with the likelihood of being hired, particularly when the freelancer is highly capable or the bid lacks textual uniqueness.
Recommended citation: Wu, X., Chen, Y., & Zhang, N. (2023). "The Impact of Politeness in Bidding Descriptions on Hiring Decisions in Online Labor Markets." PACIS 2023 Proceedings. 74.
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Different types of online social exchanges: Effects on online sellers’ sales performance
Published in Information & Management, 2024
Why do some e-commerce sellers gain competitive advantage from participating in peer communities while others do not? Our research shows that seller success is determined not by interaction frequency, but by the exact type of resources they exchange with others.
Recommended citation: Chen, Y., Boh, W. F., & Mo, J. (2024). "Different types of online social exchanges: Effects on online sellers’ sales performance." Information & Management. 61(6):104003
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Java Programming
Undergraduate course, Shanghai International Studies University, School of Business and Management, 2021
Java Programming is an intensive, five-week module that provides a foundational introduction to Java Programming, emphasizing the core knowledge and skills required for modern development. Students will gain practical mastery of Object-Oriented Programming (OOP) principles, covering essential concepts like classes, objects, inheritance, and encapsulation. By the end of this module, students will be able to design and implement basic Java programs.
Survey Research Methods
Postgraduate course, Shanghai International Studies University, School of Business and Management, 2021
This course provides a foundational introduction to management research methodology, beginning with the core principles of academic inquiry and the theoretical underpinnings of research. The curriculum guides students through the necessary steps for building sound management studies, including how to read and synthesize academic literature and how to properly utilize basic statistical concepts (such as probability, hypothesis testing, and correlation). A practical focus is placed on measurement and scale development. The course uses lectures, case discussions, and paper critiques to foster a rigorous scientific attitude and ensure students correctly understand and apply statistical knowledge in their own management research.
Programming and Data Analysis (STATA & R)
Postgraduate course, Shanghai International Studies University, School of Business and Management, 2024
Programming and Data Analysis (STATA & R) is designed to build a strong foundation for quantitative research and practical data analysis. Students will master analytical tools, focusing on the R language and STATA, to bridge theory with hands-on experience. The curriculum covers everything from software fundamentals and programming syntax to data manipulation (cleaning, visualization) and applied econometrics (cross-sectional and panel data analysis). By the end of the course, students will be equipped to raise and solve problems, analyze complex data systematically, and evaluate academic research with critical thinking.
Cognitive Internship
Undergraduate summer project, Shanghai International Studies University, School of Business and Management, 2024
Cognitive Internship is designed to bridge theory and practice in the digital and intelligent (数智) era. Students will gain hands-on experience by applying knowledge from data analytics and other related courses to real-world datasets and complex management challenges. The course emphasizes the systematic analysis of problems and the delivery of strategic insights, focusing on developing essential skills in data analysis, problem-solving, and team collaboration to meet the high demands of the modern workplace.
Big Data Analytics
Undergraduate course, Shanghai International Studies University, School of Business and Management, 2025
Big Data Analytics is a core course designed for upper-level business students to develop data literacy and analytical skills. Students will master the mainstream methods of Big Data analysis and mining and gain hands-on experience using software like RapidMiner Studio through various real-world case studies. The primary goal is to improve students’ ability to strategically analyze and utilize complex data to solve sophisticated management decision-making problems, fostering rigorous thinking and keen data insight.
Information Resource Management
Undergraduate course, Shanghai International Studies University, School of Business and Management, 2025
Information Resource Management (IRM) is a core professional course designed to guide students to manage information as a vital strategic asset. The curriculum explores IRM across three key layers: Information Content, Information Systems, and Enterprise Strategy. Through a blend of core theory and dedicated case study sessions, students will learn to analyze real-world organizational challenges and the strategic solutions that companies adopt. This course helps students systematically master the necessary analytical methods, understand how to govern information effectively, and cultivate the critical thinking skills needed to thrive in modern management.