-
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...
-
作者：Wang, Wen; Zhou, Mi; Li, Beibei; Zhuang, Honglei
作者单位：University System of Maryland; University of Maryland College Park; University of British Columbia; Carnegie Mellon University; Alphabet Inc.; Google Incorporated
摘要：Online education is a vital consumer industry that is undergoing rapid technological change. This paper develops a deep learning model to predict instructor performance on online education platforms from a content-based perspective. Specifically, we design an interpretable hierarchical transformer with contextual attention to predict instructor rating and course rating using textual data. Our model captures the inherent hierarchical structure of online courses and the sequential dependency of ...
-
作者：Han, Miaozhe; Shen, Hongchuan; Wu, Jing; Zhang, Xiaoquan (Michael)
作者单位：Hong Kong University of Science & Technology; University of Macau; Chinese University of Hong Kong
摘要：Artificial intelligence (AI) has been increasingly deployed in business operations over the past decade. Although AI productivity in normal times has been extensively studied, direct evidence of its effectiveness in uncertain contexts is limited. Our work fills this gap by examining the contribution of AI to corporate resilience under natural disaster shocks, particularly concentrating on AI-using and goods-producing firms. We measure firm AI investment by the cumulative AI-relevant skills ext...
-
作者：Feng, Haiyang; Feng, Nan; Zhang, Ling; Jiang, Zhengrui; Li, Minqiang
作者单位：Tianjin University; Shijiazhuang Tiedao University; The Chinese University of Hong Kong, Shenzhen; Tianjin University
摘要：Booming demand in the ride-hailing market allows ride-hailing platforms to experiment with different business models. This study analyzes whether a ride-hailing platform should adopt a closed business model, that is, serving riders only with platformowned vehicles, or an open business model, that is, allowing private vehicles to utilize the platform to provide services. Special attention is paid to the impact of uneven demand during a day; thus, the game-theoretical model we develop features a...
-
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...
-
作者：Wu, Anqi; Garimella, Aravinda; Subramanyam, Ramanath
作者单位：State University System of Florida; Florida International University; University of Illinois System; University of Illinois Urbana-Champaign
摘要：Over the last two decades, online crowdfunding platforms have facilitated fun- draising efforts to alleviate resource shortages across various sectors. As these platforms become increasingly important channels for bottom-up resource mobilization, it is essential to understand their vulnerability to shifts in public perception caused by top-down, off- platform events. In this paper, we examine the effect of an important top-down factor, leg- islative signals, on online giving behavior in the co...
-
作者：Wang, Lingli; Huang, Ni; He, Yumei; Liu, De; Guo, Xunhua; Sun, Yan; Chen, Guoqing
作者单位：Renmin University of China; University of Miami; Tulane University; University of Minnesota System; University of Minnesota Twin Cities; Tsinghua University; Alibaba Group; Tsinghua University
摘要：Livestream technology enriches consumers' online shopping experience, enabling streamers to demonstrate products in real time while interacting with a large number of consumers for product sales. However, tension arises between streamers' constrained service capacity and consumers' individual service demands on livestream selling platforms. Streamers can only handle a finite number of interactions and inquiries because of time and capacity constraints, whereas consumers expect immediate, tailo...
-
作者：Zhu, Yu; Liu, Xiao; Sheng, Olivia R. Liu
作者单位：University of Delaware; Arizona State University; Arizona State University-Tempe
摘要：Post-earnings-announcement drift (PEAD) refers to the phenomenon in which a company's stock price tends to drift persistently in response to the information released during the earnings announcement event. Predicting PEAD is of great interest to both investors and researchers because the magnitude of PEAD is economically significant. Whereas decades of studies have explored various approaches to forecasting PEAD, prior research has largely overlooked postevent investor responses-a critical int...
-
作者：Shi, Lanfei; Liu, Jin; Li, Yongjun; Foutz, Natasha Zhang
作者单位：University of Virginia; Beijing Jiaotong University; Chinese Academy of Sciences; University of Science & Technology of China, CAS; University of Virginia
摘要：Building upon recent advances in consumption theories, we propose an ephemeral state-dependent framework for digital content recommendations. The framework accentuates a critical, yet understudied, interplay between a firm's recommendation strategy (assimilation or diversification) and a consumer's ephemeral state. This temporary state is gauged by the breadth of a consumer's ephemeral preference at the moment of choice- either fixation on a single type of content or foraging across types. The...
-
作者：Wei, Shaobo; Ke, Weiling; Tan, Chuan-Hoo
作者单位：Hefei University of Technology; Southern University of Science & Technology; National University of Singapore
摘要：The success of enterprise systems (ESs) hinges on employees' ability to integrate these systems into their daily tasks, encompassing both routine and innovative uses. This study proposes a model based on the context-specific theorization framework that examines the interplay between usage context (leadership styles and support structures), system characteristics (modularity and complexity), and user characteristics (situational regulatory focus) in shaping employees' ES usage (routine and inno...
