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最新文章

• When More Can Be Less: The Effect of Add-On Insurance on the Consumption of Professional Services AI翻译
  作者：Li, Hongfei; Peng, Jing; Li, Xinxin; Stallaert, Jan
  作者单位：Chinese University of Hong Kong; University of Connecticut
  摘要：The emergence of online platforms for professional services (e.g., cosmetic procedures) represents a natural progression of e-commerce from search and experience goods to credence goods. Because of the deeply consequential nature of professional services and the large information asymmetries between customers and service providers, designing effective risk-reduction strategies is crucial for facilitating digital transactions of professional services. In this paper, we study whether and how the...
• The Impact of Social Reputation Features in Innovation Tournaments: Evidence from a Natural Experiment AI翻译
  作者：Deodhar, Swanand J.; Gupta, Samrat
  作者单位：Indian Institute of Management (IIM System); Indian Institute of Management Ahmedabad
  摘要：This study examines how a change in an online reputation system, specifically the addition of a social reputation feature, affects contestant performance in innovation tournaments. Drawing from the literature on peer recognition and social evaluation anxiety, we project competing effects whereby the feature could either enhance or diminish contestant performance. Furthermore, we hypothesize a series of contingent effects involving the soft reserve, a competitive dynamic that unfolds in tournam...
• The Hidden Costs and Benefits of Monitoring in the Gig Economy AI翻译
  作者：Liang, Chen; Peng, Jing; Hong, Yili; Gu, Bin
  作者单位：University of Connecticut; University of Miami; Boston University
  摘要：Monitoring, a digital surveillance technology that allows employers to track the activities of workers, is ubiquitous in the gig economy wherein the workforce is geographically dispersed. However, workers am often reluctant to be monitored because of privacy concerns, resulting in a hidden economic cost for employers as workers tend to demand higher wages for monitored jobs. To help employers make informed decisions on whether they should adopt monitoring and how to design monitoring policies,...
• Could Gamification Designs Enhance Online Learning Through Personalization? Lessons from a Field Experiment AI翻译
  作者：Leung, Alvin Chung Man; Santhanam, Radhika; Kwok, Ron Chi-Wai; Yue, Wei Thoo
  作者单位：City University of Hong Kong; University of Oklahoma System; University of Oklahoma - Norman
  摘要：The COVID-19 pandemic has highlighted the importance of online learning. As learner autonomy is relatively high in online environments, learners must engage in self-regulated learning (SRL) to achieve optimal learning outcomes. Because most learners are unable to consistently engage in SRL, gamification interventions are being implemented to improve SRI, engagement; however, mixed results cast doubt on the efficacy of this approach. Massively open online courses (MOOCs), a type of online learn...
• sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics AI翻译
  作者：Yang, Yi; Zhang, Kunpeng; Fan, Yangyang
  作者单位：Hong Kong University of Science & Technology; University System of Maryland; University of Maryland College Park; Hong Kong Polytechnic University
  摘要：Topic modeling methods such as latent Dirichlet allocation (LDA) are powerful tools for analyzing massive amounts of textual data. They have been used extensively in information systems (IS) and business discipline research to identify latent topics for data exploration and as a feature engineering mechanism to derive new variables for analyses. However, existing topic modeling approaches are mostly unsupervised and only leverage textual data, while ignoring additional useful metadata often as...
• Are You What You Tweet? The Impact of Sentiment on Digital News Consumption and Social Media Sharing AI翻译
  作者：Oh, Hyelim; Goh, Khim-Yong; Phan, Tuan Q.
  作者单位：Sogang University; National University of Singapore; University of Hong Kong
  摘要：Although social media has helped online newspapers by allowing users to organically share articles, some have argued that it has cannibalized and hurt newspapers through reduced readership and diminished agenda-setting power. Motivated by these two opposing effects, it is critical to understand what affects the duality between sharing news articles on social media and reading the articles on news websites. Using rich click stream data on online news readership obtained from an English-language...
• Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality AI翻译
  作者：Yang, Kai; Lau, Raymond Y. K.; Abbasi, Ahmed
  作者单位：Shenzhen University; City University of Hong Kong; University of Notre Dame
  摘要：Analysts, managers, and policymakers are interested in predictive analytics capable of offering better foresight. It is generally accepted that in forecasting scenarios involving organizational policies or consumer decision making, personal characteristics, including personality, may be an important predictor of downstream outcomes. The inclusion of personality features in forecasting models has been hindered by the fact that traditional measurement mechanisms are often infeasible. Text-based ...
• Excessive Mobile Use and Family-Work Conflict: A Resource Drain Theory Approach to Examine Their Effects on Productivity and Well-Being AI翻译
  作者：Magni, Massimo; Ahuja, Manju K.; Trombini, Chiara
  作者单位：Bocconi University; University of Louisville; INSEAD Business School
  摘要：While acknowledging the many benefits of anytime-anywhere connectivity, recent research has called for further investigation into the maladaptive side of mobile technology use in the work-family interface realm. We rely on resource drain theory to investigate how family-work conflict (FWC) is linked to excessive use of mobile devices for work purposes during nonwork hours, which, in turn, affects individual productivity and physiological, psychological, and relational well-being. Furthermore, ...
• Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments AI翻译
  作者：Khern-am-nuai, Warut; Hashim, Matthew J.; Pinsonneault, Alain; Yang, Weining; Li, Ninghui
  作者单位：McGill University; University of Arizona; Purdue University System; Purdue University
  摘要：Password-based authentication is the most commonly used method for gaining access to secured systems. Unfortunately, empirical evidence highlights the fact that most passwords are significantly weak, and encouraging users to create stronger passwords is a significant challenge. In this research, we propose a theoretically augmented password strength meter design that is guided by the elaboration likelihood model of persuasion (ELM). We evaluate our design by leveraging three independent and co...
• Digital Multisided Platforms and Women's Health: An Empirical Analysis of Peer-to-Peer Lending and Abortion Rates AI翻译
  作者：Ozer, Gorkem Turgut; Greenwood, Brad N.; Gopal, Anandasivam
  作者单位：University System Of New Hampshire; University of New Hampshire; George Mason University; Nanyang Technological University
  摘要：Digital multisided platforms and peer-to-peer marketplaces are increasingly attracting attention from scholars, with a significant amount of work examining their societal implications. Despite such focus, limited work has investigated the social implications of the democratization of capital by peer-to-peer (P2P) lending platforms, particularly within the healthcare sector, where financial constraints can be daunting. In this study, we investigate the effects of P2P lending platforms on local ...