Decision Support for Smart City

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    Leveraging Trust Relations to Improve Academic Patent Recommendation
    ( 2022-01-04) Chen, Yuwen ; Ma, Jian ; Zhu, Peihu ; Huang, Xiaoming ; Jin, Qin
    Academic patent trading is one of the important ways for university technology transfer. Compared to industry patent trading, academic patent trading suffers from a more serious information asymmetric problem. It needs a recommendation service to help companies identify academic patents that they want to pay. However, existing recommendation approaches have limitations in facilitating academic patent trading in online patent platforms because most of them only consider patent-level characteristics. A high trust degree of a company towards academic patents can alleviate the information asymmetry and encourage trading. This study proposes a novel academic patent recommendation approach with a hybrid strategy, combining citation-based relevance, connectivity, and trustworthiness. An offline experiment is conducted to evaluate the performance of the proposed recommendation approach. The results show that the proposed method performs better than the baseline methods in both accuracy and ranking.
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    Investigating Impulse Buying Behavior in Live Streaming Commerce: The Role of Social Presence
    ( 2022-01-04) Zhang, Xiaoping ; Cheng, Xusen ; Huang, Xiaowen ; Li, Haolin
    Live streaming is changing the paradigm of people’s entertainment and consumption. It has been adopted by many small individual sellers to improve their market performance, leading to the emergence of live streaming commerce. Although existing literature has paid attention to consumer purchase behavior in live streaming commerce, little knowledge on impulse buying can be available. Drawing on social presence theory and cognitive-affective framework, this paper attempts to develop a theoretical model to investigate how social presence affects consumers’ urge to buy impulsively through the mediating mechanism of cognitive state (i.e., product risk) and affective state (i.e., affective intensity). This paper is expected to advance knowledge on consumers’ impulse buying in live streaming commerce.
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    Introduction to the Minitrack on Decision Support for Smart City
    ( 2022-01-04) Sun, Jianshan ; Xu, Wei ; Ma, Jian