Internet Research: Volume 32 Issue 2

Guest editorial: Interpretable AI-enabled online behavior analytics

Wei Xu, Jianshan Sun, Mengxiang Li

An artificial intelligence-enabled industry classification and its interpretation

Daejin Kim, Hyoung-Goo Kang, Kyounghun Bae, Seongmin Jeon

To overcome the shortcomings of traditional industry classification systems such as the Standard Industrial Classification Standard Industrial Classification, North American…

Managing the tension between opposing effects of explainability of artificial intelligence: a contingency theory perspective

Babak Abedin

Research into the interpretability and explainability of data analytics and artificial intelligence (AI) systems is on the rise. However, most recent studies either solely promote…

Doctor recommendation on healthcare consultation platforms: an integrated framework of knowledge graph and deep learning

Hui Yuan, Weiwei Deng

Recommending suitable doctors to patients on healthcare consultation platforms is important to both the patients and the platforms. Although doctor recommendation methods have…

Multimodal cooperative learning for micro-video advertising click prediction

Runyu Chen

Micro-video platforms have gained attention in recent years and have also become an important new channel for merchants to advertise their products. Since little research has…

Exploring consumers' response to text-based chatbots in e-commerce: the moderating role of task complexity and chatbot disclosure

Xusen Cheng, Ying Bao, Alex Zarifis, Wankun Gong, Jian Mou

Artificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in…

Interpretable video tag recommendation with multimedia deep learning framework

Zekun Yang, Zhijie Lin

Tags help promote customer engagement on video-sharing platforms. Video tag recommender systems are artificial intelligence-enabled frameworks that strive for recommending precise…

Exploring the relationships between socialization agents, social media communication, online shopping experience, and pre-purchase search: a moderated model

Mahasweta Saha, Sangeeta Sahney

The purpose of this study is to examine the relationships between the dimensions of the pre-purchase information search (PS) such as direction (reliance on the information…

Leveraging online behaviors for interpretable knowledge-aware patent recommendation

Wei Du, Qiang Yan, Wenping Zhang, Jian Ma

Patent trade recommendations necessitate recommendation interpretability in addition to recommendation accuracy because of patent transaction risks and the technological…

Interpretable MOOC recommendation: a multi-attention network for personalized learning behavior analysis

Ju Fan, Yuanchun Jiang, Yezheng Liu, Yonghang Zhou

Course recommendations are important for improving learner satisfaction and reducing dropout rates on massive open online course (MOOC) platforms. This study aims to propose an…

Does brand type affect what consumers discuss? A comparison of attribute-based reviews of value and premium brands of an innovative product

Jisu Yi, Yun Kyung Oh

This research aims to investigate the role of brand types (value brand vs premium brand) in determining review content. Specifically, this research focuses on attribute-based…

The research on propagation modeling and governance strategies of online rumors based on behavior–attitude

Hailiang Chen, Chuan Ai, Bin Chen, Yong Zhao, Kaisheng Lai, Lingnan He, Zhihan Liu

The purpose of this paper is to achieve effective governance of online rumors through the proposed rumor propagation model and immunization strategy.

The future of social entrepreneurship: modelling and predicting social impact

Nur Azreen Zulkefly, Norjihan Abdul Ghani, Christie Pei-Yee Chin, Suraya Hamid, Nor Aniza Abdullah

Predicting the impact of social entrepreneurship is crucial as it can help social entrepreneurs to determine the achievement of their social mission and performance. However…