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作者：Yahav, Inbal; Goldstein, Anat; Geva, Tomer; Meir, Shahar; Shehory, Onn
作者单位：Tel Aviv University; Ariel University; Bar Ilan University
摘要：In recent years, the field of natural language processing has made remarkable progress with the emergence of large language models (LLMs). In particular, the ability of LLMs to provide fact-based, free-text responses to user queries has the potential to revolutionize domains such as online search and the use of informative chatbots. However, extensive validation is required so that the response accuracy of question-answering LLMs can be confidently trusted. This paper introduces a framework to...
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作者：Yin, Dezhi; Bond, Samuel D.; Zhang, Han
作者单位：State University System of Florida; University of South Florida; University System of Georgia; Georgia Institute of Technology; Hong Kong Baptist University
摘要：This article may be used only for the purposes of research, teaching, and/or private study. Commercial use or systematic downloading (by robots or other automatic processes) is prohibited without explicit Publisher approval, unless otherwise noted. For more information, contact permissions@informs.org. The Publisher does not warrant or guarantee the article's accuracy, completeness, merchantability, fitness inclusion of an advertisement in this article, neither constitutes nor implies a guaran...
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作者：Mo, Jiahui; Zhang, Nila
作者单位：Clemson University; Fudan University
摘要：Open innovation contests are dynamic, allowing new solvers to enter at any point before the deadline, and their participation can be influenced by seeker-generated information (SGI), which is publicly accessible to all solvers. Whereas prior literature has primarily examined solver participation among existing participants in a contest, we shift our focus to potential solvers who have not yet joined. Building on evaluation latitude theory, we identify two dimensions of SGI framing when seekers...
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作者：Deng, Honglin; Wang, Weiquan; Lim, Kai H.
作者单位：Tongji University; Chinese University of Hong Kong; Hong Kong Polytechnic University
摘要：Sponsored search results (SSRs) that deviate from users' search queries often raise suspicion despite receiving positive evaluations from previous users. Such a suspicion typically prompts users to avoid SSRs. To address this issue, our study focuses on the role of online informational cues, such as product reviews and ratings from user-generated content, in reducing users' suspicion when encountering these SSRs. Drawing on the theoretical perspective of state suspicion, we contextualize the d...
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作者：Molitor, Dominik; Spann, Martin; Ghose, Anindya; Reichhart, Philipp
作者单位：Fordham University; University of Munich; New York University
摘要：This study examines the impact of different mobile content delivery mechanisms on consumers' coupon redemption behavior. Firms have two distinct content delivery options when engaging with consumers' mobile devices: mobile push and mobile pull. Mobile push delivers firm -initiated (ad) content directly to consumers, whereas mobile pull requires consumers to initiate requests for (ad) content. We hypothesize that mobile push delivery increases the likelihood of coupon redemption due to reduced ...
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作者：Deng, Jiaying; Lee, Stephanie; Tan, Yong
作者单位：Fordham University; University of Washington; University of Washington Seattle
摘要：With the rapid development of mobile technology and consumers' increasing demand for portability, the mobile gaming market has experienced huge growth. To ensure the success of mobile games, game publishers need to keep their players engaged and, at the same time, seek monetization strategies that do not interrupt players' engagement. This paper examines how in-game challenge-related factors (i.e., perceived challenge and fluctuation of perceived challenge) and a novel mobile game monetization...
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作者：Lee, Heeseung Andrew; Choi, Angela Aerry; Oh, Wonseok; Sun, Tianshu
作者单位：University of Texas System; University of Texas Dallas; Korea University; Korea Advanced Institute of Science & Technology (KAIST)
摘要：Despite the rising popularity of serialized digital content on online platforms, authors and publishers currently lack a comprehensive understanding of the economic implications associated with content partitioning. This research investigated how content partitioning affects the consumption patterns, engagement activities, and subsequent economic behavior of consumers in the context of serialized e-books. Identical e-book titles were partitioned into two formats: small partitioning (SP), where...
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作者：Zeng, Ticheng; Fang, Yulin; Li, Huifang; Wang, Youwei; Lim, Kai H.
作者单位：Hong Kong Baptist University; University of Hong Kong; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Fudan University; Hong Kong Polytechnic University
摘要：Previous studies have shown great interest in examining the performance impact of platform-based functions (PBFs) used by e-marketplace sellers and the contingent role of salient variables, such as seller reputation, in the e-marketplace. Their findings, however, are fragmented and inconsistent, as they generally focus on the net, separate effect of a single PBF with debatable findings. The theorization of how sellers should configure multiple types of PBFs as a whole to achieve high sales per...
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作者：Wang, Cong; Shi, Yansong; Guo, Xunhua; Chen, Guoqing
作者单位：Peking University; Fudan University; Tsinghua University; Tsinghua University
摘要：The abundance of multiple types of consumer digital footprints recorded on e-commerce platforms has fueled the design of personalized recommender systems for decision support. However, capturing consumers' inherent preferences for effective recommendations based on consumer digital footprints can be challenging because of the multitude of factors driving consumer behaviors. Model training and recommendation outcomes may become biased if other factors are inappropriately recognized as consumers...
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作者：Bauman, Konstantin; Tuzhilin, Alexander; Unger, Moshe
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; New York University; Tel Aviv University
摘要：Contextual situations, such as having dinner at a restaurant on Friday with the spouse, became a useful mechanism to represent context in context-aware recommender systems (CARS). Prior research has shown important advantages of using latent embedding representation approaches to model contextual information in the Euclidean space leading to better recommendations. However, these traditional approaches have major challenges with construction of proper embeddings of hierarchical structures of c...
