2022

最新文章

• Peer-To-Peer Rentals, Regulatory Policies, And Hosts' Cost Pass-Throughs AI翻译
  作者：Mueller, Michelle; Neumann, Juergen; Kundisch, Dennis
  作者单位：University of Paderborn
  摘要：Peer-to-peer (P2P) rental markets have been shown to adversely impact the traditional hospitality industry and housing affordability, fueling the public demand for regulation. While localities around the globe have implemented policies to address these issues, little is known about how rental suppliers respond to those regulations. This study aims to empirically analyze the impact of such policy regulations on the prices charged by different types of rental suppliers. We employed a quasi-exper...
• Motivating the Motivationally Diverse Crowd: Social Value Orientation and Reward Structure in Crowd Idea Generation AI翻译
  作者：Yan, Bei; Hollingshead, Andrea B.
  作者单位：Stevens Institute of Technology; University of Southern California; Stevens Institute of Technology
  摘要：Some people contribute ideas for prosocial reasons in crowdsourcing; others do so for selfish reasons. Extending the theory of motivated information processing, the research posits that prosocial and proself individuals respond differently to reward structures in crowd idea generation. Two online experiments measured participants' prosocial versus proself orientation and manipulated whether participants received a competitive or cooperative reward structure. Study 2 also manipulated whether pa...
• Leveraging Platform Boundary Resources: The Role of Distributed Sensemaking AI翻译
  作者：Soh, Franck; Grover, Varun
  作者单位：University of North Carolina; University of North Carolina Greensboro; University of Arkansas System; University of Arkansas Fayetteville
  摘要：Although mobile platform ecosystems are highly competitive environments, they provide important entrepreneurial opportunities for app developer organizations. To facilitate app innovations, platform owners regularly release platform boundary resources (PBRs) by adding novel technologies at the platform level. App developer organizations, however, face high levels of technological uncertainty as they create app-level innovations based on PBRs. We examine the effectiveness of the level of distri...
• Deriving Execution Effectiveness of Crowdfunding Projects from the Fundraiser Network AI翻译
  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...
• The Impact of Trust and Recommendation Quality on Adopting Interactive and Non-Interactive Recommendation Agents: A Meta-Analysis AI翻译
  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...
• The Good, the Bad, and the Social Media: Financial Implications of Social Media Reactions to Firm-Related News AI翻译
  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...
• Why Do Data Analysts Take IT-Mediated Shortcuts? An Ego-Depletion Perspective AI翻译
  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...
• Servitization for the Environment? The Impact of Data-Centric Product-Service Models AI翻译
  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...
• Algorithmic versus Human Advice: Does Presenting Prediction Performance Matter for Algorithm Appreciation? AI翻译
  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...
• Improving Imbalanced Machine Learning with Neighborhood-Informed Synthetic Sample Placement AI翻译
  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...