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作者:Kao, Ta-Wei (Daniel); Hsiao, Shih-Hui (Steven); Su, Hung-Chung; Ku, Chih-Hao (Justin)
作者单位:University of Michigan System; University of Michigan; Rowan University; University System of Ohio; Cleveland State University
摘要:Reward-based crowdfunding has become a popular fundraising marketspace for entrepreneurs. However, few studies take a process perspective and examine how fundraiser network influences the execution effectiveness of crowdfunding projects. Collecting the funding activities of all fundraisers on Kickstarter in 2017, we construct a fundraiser network and examine the effects of fundraiser network structural characteristics on project execution effectiveness. Employing endogenous stochastic frontier...
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作者:Ebrahimi, Sepideh; Ghasemaghaei, Maryam; Benbasat, Izak
作者单位:York University - Canada; McMaster University; University of British Columbia
摘要:Research on recommendation agents (RAs) originally focused on interactive RAs, which rely on explicit methods, i.e., eliciting user-provided inputs to learn about consumers' needs and preferences. Recently, due to the availability of large amounts of data about individuals, the focus shifted toward non-interactive RAs that use implicit methods rather than explicit ones to understand users' needs. This paper examined the differences between interactive and non-interactive RA types in terms of h...
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作者:Peng, Jing; Zhang, Juheng; Gopal, Ram
作者单位:University of Connecticut; University of Massachusetts System; University of Massachusetts Lowell; University of Warwick
摘要:Firms and investors often react to financial news on social media. However, how they react to news of different nature and whether their reactions influence the stock market is far from clear. Employing data on financial news, tweets posted by firms and investors, and daily stock prices, we find that firms are more responsive to news with positive sentiment and low uncertainty, whereas investors are more responsive to news with high uncertainty. Moreover, the increased tweeting activities of f...
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作者:Ghasemaghaei, Maryam; Turel, Ofir
作者单位:McMaster University; University of Melbourne
摘要:We aim to understand why employees take information technology (IT)-mediated shortcuts, that is, skipping one or several steps for completing tasks quicker by bending the rules. This is a specific and often detrimental form of noncompliant behavior. Adopting an ego-depletion perspective, we posit that IT complexity drives IT-mediated shortcuts by increasing employees' ego-depletion. Extending this view, we use a modified Delphi study and build on self-regulatory and goal setting theories to po...
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作者:Zhang, Xin; Guo, Xiaolong; Yue, Wei Thoo; Yu, Yugang
作者单位:Chinese Academy of Sciences; University of Science & Technology of China, CAS; City University of Hong Kong; City University of Hong Kong
摘要:Recent developments in data-centric technologies (e.g., big data, Internet of Things, cloud computing) have given rise to the data-centric models, such as servitization. Servitization here refers to firms selling a product as a service instead of selling product ownership, which has been viewed as a green business model that can benefit the environment. Despite the potential environmental superiority of servitization, previous studies and empirical observations have shown that the servitizatio...
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作者:You, Sangseok; Yang, Cathy Liu; Li, Xitong
作者单位:Sungkyunkwan University (SKKU); Hautes Etudes Commerciales (HEC) Paris
摘要:We propose a theoretical model based on the judge-advisor system (JAS) and empirically examine how algorithmic advice, compared to identical advice from humans, influences human judgment. This effect is contingent on the level of transparency, which varies with whether and how the prediction performance of the advice source is presented. In a series of five controlled behavioral experiments, we show that individuals largely exhibit algorithm appreciation; that is, they follow algorithmic advic...
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作者:Nasir, Murtaza; Dag, Ali; Simsek, Serhat; Ivanov, Anton; Oztekin, Asil
作者单位:Wichita State University; Creighton University; Montclair State University; University of Illinois System; University of Illinois Urbana-Champaign; University of Massachusetts System; University of Massachusetts Lowell
摘要:Machine learning is widely used in information systems design. Yet, training algorithms on imbalanced datasets may severely affect performance on unseen data. For example, in some cases in healthcare, fintech, or cybersecurity contexts, certain subclasses are difficult to learn because they are underrepresented in training data. Our study offers a flexible and efficient solution based on a new synthetic average neighborhood sampling algorithm (SANSA), which, in contrast to other solutions, int...
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作者:Venkatesh, Viswanath; Goyal, Sandeep
作者单位:Virginia Polytechnic Institute & State University; University of Louisville
摘要:Organizations usually have difficulty adjusting to technology-enabled changes. Recent research has examined the interaction between technology and the key job outcomes of employees. But this research stream has done so using a linear lens even though this interplay has been recognized to be dynamic and complex. We challenge here this linearity assumption. We theorized that enterprise system (ES) use influences post-implementation job scope, and the change from pre- to post-implementation job s...
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作者:Weinert, Christoph; Maier, Christian; Laumer, Sven; Weitzel, Tim
作者单位:Otto Friedrich University Bamberg; University of Erlangen Nuremberg
摘要:Information technology (IT) interruptions are IT-based events that capture users' attention and interfere with other activities. This study focuses on repeated IT interruption and task performance. We draw on dual-process theory and suggest that users may get used to repeated IT interruption, known as habituation, or may become hypersensitive, known as sensitization. We validate the research model based on data from a laboratory experiment with 100 subjects by using a multivariate latent growt...
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作者:Xiao, Ping; Chen, Yuanyuan; Bharadwaj, Anandhi; Bao, Weining
作者单位:University of Melbourne; University of Alabama System; University of Alabama Tuscaloosa; Emory University; University of Connecticut
摘要:We develop a dynamic model to examine how information nudges influence digital services' consumer usage behavior and welfare under a three-part tariff structure. We study two types of information nudging: nudging through full and nudging through partial information provision. In the former, information nudges are provided to inform consumers of their usage status at every decision point in a billing cycle. In contrast, in the latter, consumers are nudged at one or more decision points within a...