Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jennifer Marie Logg"'
Building a Better World Together: Understanding the Future of Work with Algorithms, AI, & Automation
Autor:
Jennifer Marie Logg, Rachel Schlund, Menchang Dong, Monica Gamez-Djokic, Arthur S. Jago, Sarah Ward
Publikováno v:
Academy of Management Proceedings. 2022
Publikováno v:
Organizational Behavior and Human Decision Processes. 151:90-103
Even though computational algorithms often outperform human judgment, received wisdom suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this notion, results from six experiments show that lay people adhere more to adv
Publikováno v:
Organizational Behavior and Human Decision Processes. 150:83-100
Prior advice research has focused on why people rely on (or ignore) advice and its impact on judgment accuracy. We expand the consideration of advice-seeking outcomes by investigating the interpersonal consequences of advice seekers’ decisions. Acr
Publikováno v:
Journal of Experimental Psychology: General. 147:1445-1465
Are overconfident beliefs driven by the motivation to view oneself positively? We test the relationship between motivation and overconfidence using two distinct, but often conflated measures: better-than-average (BTA) beliefs and overplacement. Our r
Autor:
Heather Hee Jin Yang, Nathanael Fast, Christian Hildebrand, Donna Hoffman, Jennifer Marie Logg, Michael Yeomans
Publikováno v:
Academy of Management Proceedings. 2020:17721
When do people heed the advice from an algorithm as opposed to a human? This session delves into novel research in which people opt for the recommendations from algorithmically-derived sources and ...
Autor:
Erika L. Kirgios, Francesca Gino, Aneesh Rai, Leigh Plunkett Tost, Grace Cormier, Katherine L. Milkman, Hayley Blunden, Shaaref Shah, Beth Anne Helgason, Edward H. Chang, Jennifer Marie Logg, Rachel Lise Ruttan, Ting Zhang, Julia D. Hur, Daniel A. Effron
Publikováno v:
Academy of Management Proceedings. 2020:13670
This symposium is designed to advance advice research by placing a spotlight on interpersonal influences in advice interactions. The presentations demonstrate how interpersonal considerations impac...
Autor:
Jennifer Marie Logg
Publikováno v:
SSRN Electronic Journal.
Historically, people have informed their decisions with advice from other people. However, the rise of “big data” has increased both the availability and utility of a new source of advice: algorithms. These scripts for mathematical calculations c
Publikováno v:
Journal of Behavioral Decision Making. 29:499-510
In mixed-motive interactions, defection is the rational and common response to the defection of others. In some cases, however, group members not only cooperate in the face of defection but also compensate for the shortfalls caused by others' defecti
Publikováno v:
SSRN Electronic Journal.
Even though computational algorithms often outperform human judgment, received wisdom suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this notion, results from six experiments show that lay people adhere more to adv
Publikováno v:
Academy of Management Proceedings. 2019:14111
Recent advances in technology are dramatically changing the face of business. New digital platforms are enabling individuals and organizations to connect and interact virtually rather than in-perso...