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Richard J. Miller
Researcher at University of Dallas
Publications - 16
Citations - 287
Richard J. Miller is an academic researcher from University of Dallas. The author has contributed to research in topics: Experiential learning & New product development. The author has an hindex of 7, co-authored 16 publications receiving 205 citations. Previous affiliations of Richard J. Miller include Cleveland State University.
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Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications
TL;DR: This study provides evidence that customer expectations are being satisfied through the digital assistant interaction experience through the survey responses used to examine this research gap.
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Getting to the Root of the Problem in Experiential Learning: Using Problem Solving and Collective Reflection to Improve Learning Outcomes.
TL;DR: Experiential learning alone does not guarantee that students will accurately conceptualize content, or meet course outcomes in subsequent active experimentation stages as mentioned in this paper, and in an effort to more effecti...
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Utilizing lean tools to improve value and reduce outpatient wait times in an Indian hospital
TL;DR: It is found that lean tools such as value-stream mapping and root cause analysis can lead to dramatic reductions in waste and improvements in productivity and a framework that can be utilized for healthcare providers in developed and developing countries to analyze their value streams to reduce waste.
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Professional student organizations and experiential learning activities: What drives student intentions to participate?
TL;DR: This paper found that students value activities that involve professional development and contact with professionals, and ethnicity and being a first-generation college student were not significant predictors in participating in a professional student organization.
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Knowledge-salvage practices for dormant R&D projects
TL;DR: In this article, the authors propose a knowledge bank as a possible solution to preserve and possibly grow this knowledge, which is left over from projects that have been killed at different development stages and may actually carry considerable value.