School of Business and Management Department of Management 187 Department of Management Perceptions of AI in Organizations Supervisor: BITTERLY Thomas Bradford / MGMT Student: HUANG Shi / ECON Course: UROP 2100, Fall UROP 3200, Spring This report mainly focuses on investigating the experiences and challenges social media content creators are facing, especially exploring the interaction between influencers and followers. Three studies were conducted through qualitative interviews and quantitative experiments to understand the three frequently-mentioned problems – various motivations, copying behavior, and financial transparency. The study mainly examines the impact of financial incentives on audience engagement. The findings suggest that transparency of financial incentives does not negatively influence audience engagement, and that social distance is an affective factor underlying in audience responses to influencers’ financial motivations. Future research will explore the role of social distance and also solve other questions in previous research. Perceptions of AI in Organizations Supervisor: BITTERLY Thomas Bradford / MGMT Student: YIP Shun Kuen / ACCT Course: UROP 1000, Summer Amidst the rapid technological advancements, organizations have been investing heavily in the field of artificial intelligence (AI) with the aim of boosting productivity and generating revenue. However, the reality often falls short of the initial expectations set by these organizations. This discrepancy has piqued my curiosity about the factors influencing the progress of AI implementation within organizations. Furthermore, the opinions of analysts from Goldman Sachs regarding the return on investment from deploying AI have further motivated me to participate in Professor Bitterly's research project, "Perceptions of AI in Organizations." This report will reflect on my project expectations, key takeaways, and future research interests. Judgment and Decision Making in Organizations Supervisor: HAGMANN David / MGMT Student: WANG Yimengle / MARK Course: UROP 1000, Summer This comprehensive progress report offers a detailed analysis of the research pursuits undertaken during the summer semester of 2024, under the mentorship of Professor David Hagmann. The primary objective of this study is to investigate the variations in perceptions concerning critical thinking, problem-solving, emotional intelligence, and social/communication skills across the gender spectrum within the context of diverse AI interventions. The research aims to elucidate how the integration of AI influences human evaluations of skills and whether the introduction of AI stimulates individuals to enhance female performance levels. This report delves into the questionnaire development process, methods employed for data collection, challenges faced, and preliminary results, and outlines future research directions.
RkJQdWJsaXNoZXIy NDk5Njg=