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Xiangbin Yan

Researcher at University of Science and Technology Beijing

Publications -  112
Citations -  1863

Xiangbin Yan is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Sierra leone & Computer science. The author has an hindex of 17, co-authored 96 publications receiving 1211 citations. Previous affiliations of Xiangbin Yan include Harbin Institute of Technology & University of Arizona.

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The joint moderating role of trust propensity and gender on consumers' online shopping behavior

TL;DR: It is found that the interaction of trust propensity and gender played a significant joint moderating role in affecting the impact of perceived benefit on intention to purchase, and men with high trust propensity belief are the most benefit oriented consumer group.
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Customer revisit intention to restaurants: Evidence from online reviews

TL;DR: Investigating factors influencing customer revisit intention to restaurants by analyzing online reviews found that food quality, price and value, service quality, and atmosphere are the antecedents of restaurant customers’ revisit intention, and that restaurant type moderates the effect of customer satisfaction.
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Environmental and Health Impact of Solid Waste Disposal in Developing Cities: A Case Study of Granville Brook Dumpsite, Freetown, Sierra Leone

TL;DR: In this paper, the authors present the findings of a research carried out in Freetown municipal area in Sierra Leone to determine the environmental and health impacts of solid waste disposal at Granville Brook dumpsite on the surrounding human settlements.
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Measuring Customer Agility from Online Reviews Using Big Data Text Analytics

TL;DR: A singular value decomposition-based semantic keyword similarity method is developed to quantify customer agility using large-scale customer review texts and product release notes and finds that review volume has a curvilinear relationship with customer agility.
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Information disclosure on social networking sites

TL;DR: It is deduced that information ambiguity and reward-amount ambiguity are likely to be important influencers of disclosure intentions, and that voluntary disclosure is tied to the intrinsic value that users attribute to their social networking activities.