Boyi Zhu

Boyi Zhu
Shanghai University | SHU · Department of Management Science and Engineering

About

13
Publications
1,499
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62
Citations

Publications

Publications (13)
Article
Full-text available
Exploring the influence mechanism of user creativity in online learning community is beneficial for improving learning efficiency and increasing stickiness and loyalty of users to online learning community. But the current research on collaborative creation mainly focuses on the effectiveness and innovation of online learning, and lacks the researc...
Article
Full-text available
The integration of metaverse technology with digital collections of cultural heritage (DCCH) presents a novel paradigm for museum economics and consumer engagement. Despite the burgeoning interest in DCCH, a gap exists in understanding the mechanisms that drive consumers' sticky purchase intention (SPI) in this space. This study addresses this void...
Article
Full-text available
In the digital age, online learning platforms utilizing advanced technologies such as artificial intelligence can provide more diverse and abundant educational resources compared to offline learning environments. However, online learners still face emotional expression and inertia trap problems. Knowledge co-creation virtual teachers (KCVTs) can so...
Article
Peer-to-peer (P2P) online experience offers low-cost immersive cultural experiences, but enterprises fear that it will negatively affect local tourism marketing. This study proposes a sequential mediation model to explore how P2P online experience stimulates travel intentions and attraction recommendations. We find that P2P online experience increa...
Article
Full-text available
Brand equity co-creation can drive up platform value. In real world, celebrities play a crucial role in influencing brand equity co-creation. However, in metaverse celebrity-infused entertainment activities, there is a research gap in the impact of celebrities on brand equity co-create intention, which is crucial for marketing. Through a moderated...
Article
Full-text available
Mining user satisfaction decision stages from online reviews is helpful for understanding user preferences and conducting user-centered product improvements. Therefore, this study develops a two-stage nonlinear user satisfaction decision model (USDM). First, we use word2vec technology and lexicon-based sentiment analysis to mine the sentiment polar...
Article
Full-text available
Objective The aim is to investigate the determinants and mechanisms that influence user's highly sensitive privacy disclosure intention (HSPDI) in home intelligent health service system (HIHSS). Methods This study improves the privacy calculus theory by considering the influence of service providers’ trust enhancement mechanism besides benefit and...
Article
Full-text available
The utilization of user privacy data in the health data tracking system (HDTS) offers numerous benefits for businesses and public services, contingent upon users’ privacy sharing intentions. However, previous research neglected users’ preferences for public services and focused mainly on personalized services. Additionally, traditional privacy calc...
Article
Virtual reality (VR) tourism e-commerce platforms (VRTEPs) can provide trial experience for tourists, which is easy to trigger irrational impulse buying. Based on cognitive emotion theory and S-O-R model, this study innovatively explores the impact of the multi cue-interaction stimulation (the interactivity of VR display and the empathy of text dis...
Article
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In the Web2.0 era, user-generated content (UGC) provides a valuable source of data to aid in understanding consumers and driving intelligent business. Text mining techniques, such as semantic analysis and sentiment analysis, help to extract meaningful information embedded in UGC. However, research on text mining of UGC for e-commerce business appli...
Article
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One of the main problems encountered by social networks is the cold start problem. The term “cold start problem” refers to the difficulty in predicting new users’ friendships due to the limited number of links those users have with existing nodes. To fill the gap, this paper proposes a Fully Integrated Link Prediction Algorithm (FILPA) that describ...
Article
Full-text available
Attracting users from a mature large online product community to a new small one by friend recommendation is vital for new product marketing in social network. However, the traditional link prediction algorithms for friend recommendation cannot get high accuracy because of the network sparsity and scale-free problems when attracting customer flow b...
Article
3D printing is the important part of the emerging industry, and the accurate prediction of technology hot spots (THS) in the 3D printing industry is crucial for the strategic technology planning. The patents of the THS are always in the minority and have outlier characteristics, so the existing single and rigid models cannot accurately and robustly...

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