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Full-Text Articles in Business
Attitudinal Predictors Of Relative Reliance On Human Vs. Automated Advisors, Stephanie M. Merritt, Ruchi Sinha, Paul G. Curran, Daniel R. Ilgen
Attitudinal Predictors Of Relative Reliance On Human Vs. Automated Advisors, Stephanie M. Merritt, Ruchi Sinha, Paul G. Curran, Daniel R. Ilgen
College of Business Administration Faculty Works
Trust and liking are attitudes with important implications for automation reliance in single-advisor settings; however, the extent to which their relationships with reliance generalise to settings in which the user receives conflicting advice from a human and automation is unknown. Participants completed an X-ray screening task and received simultaneous advice from what they believed was another human and an automated aid. High disuse was found for both advisors. Among participants who relied on advice, those with greater relative liking for the automation than for the human significantly increased their reliance on the automation relative to the human during the first …
An Application Of Data Analytics To Outcomes Of Missouri Motor Vehicle Crashes, Jill Marie Bernard
An Application Of Data Analytics To Outcomes Of Missouri Motor Vehicle Crashes, Jill Marie Bernard
Dissertations
Motor vehicle crashes are a leading cause of death in the United States, cost Americans $277 billion annually, and generate serious psychological burdens. As a result, extensive vehicle safety research focusing on the explanatory factors of crash severity is undertaken using a wide array of methodological techniques including traditional statistical models and contemporary data mining approaches. This study advances the methodological frontier of crash severity research by completing an empirical investigation that compares the performance of popular, longstanding techniques of multinomial logit and ordinal probit models with more recent methods of decision tree and artificial neural network models. To further …
Capacity Planning And Resource Acquisition Decisions Using Robust Optimization, Aldis Jakubovskis
Capacity Planning And Resource Acquisition Decisions Using Robust Optimization, Aldis Jakubovskis
Dissertations
This dissertation studies strategic capacity planning and resource acquisition decisions, including the facility location problem and the technology choice problem. These decisions are modeled in an integrative manner, and the main purpose of the proposed models and numerical experiments is to examine the effects of economies of scale, economies of scope, and the combined effects of scale and scope under uncertain demand realizations using robust optimization. The type of capacities, or technology alternatives, that a firm can acquire can be classified on two basic dimensions. The first dimension relates to the effects of scale via distinction between labor-intensive (less automated) …