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作者：Dennis, Alan R.; Lakhiwal, Akshat; Sachdeva, Agrim
作者单位：Indiana University System; IU Kelley School of Business; Indiana University Bloomington; University System of Georgia; University of Georgia; Indiana University System; IU Kelley School of Business; Indiana University Bloomington
摘要：Organizations are beginning to deploy artificial intelligence (AI) agents as members of virtual teams to help manage information, coordinate team processes, and perform simple tasks. How will team members perceive these AI team members and will they be willing to work with them? We conducted a 2 x 2 x 2 lab experiment that manipulated the type of team member (human or AI), their performance (high or low), and the performance of other team members (high or low). AI team members were perceived t...
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作者：Xu, Ruiyun; Chen, Hailiang; Zhao, J. Leon
作者单位：University System of Ohio; Miami University; University of Hong Kong; The Chinese University of Hong Kong, Shenzhen; The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data
摘要：While venture capital firms are increasingly relying on recommendation models in investment decisions, existing startup recommendation models fail to consider the uniqueness of venture capital context, including two-sided matching between investing and investee firms and a lack of information disclosure requirements on startups. Following the design science research paradigm and guided by the proximity principle from social psychology, we develop a novel framework called SocioLink by depicting...
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作者：Pan, Yang; Mithas, Sunil; Hsieh, J. J. Po-An; Liu, Che-Wei
作者单位：Tulane University; State University System of Florida; University of South Florida; University System of Georgia; Georgia State University; Indiana University System; Indiana University Bloomington; IU Kelley School of Business; State University System of Florida; University of South Florida
摘要：How do investors' risk preferences influence the relationships between investors' online channel use intensity and both their trading behaviors and performance? This study answers this important question even as investors are increasingly rely on the Internet for their trading activities. We leverage rare and unique micro-level historical dataset from more than 7,000 investor accounts over a 44-month period between 2010 and 2013 at a large brokerage firm in China. The dataset and analyses enab...
