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Earl H. McKinney

Researcher at Bowling Green State University

Publications -  25
Citations -  844

Earl H. McKinney is an academic researcher from Bowling Green State University. The author has contributed to research in topics: Poison control & Big data. The author has an hindex of 11, co-authored 24 publications receiving 800 citations. Previous affiliations of Earl H. McKinney include College of Business Administration & United States Air Force Academy.

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Extending the Technology Acceptance Model Extending the Technology Acceptance Model and the Task and the Task-Technology Fit Model to Technology Fit Model to Consumer E Consumer E- -Commerce Commerce

TL;DR: In this paper, the authors treat consumer e-commerce as a technology adoption process and evaluate the suitability of two popular adoption models: TAM and task-technology fit (TTF).
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Information about information: a taxonomy of views

TL;DR: A taxonomy of four views-token, syntax, representation, and adaptation-to enable scholars and practitioners to specify their concept of information is presented.
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How Swift Starting Action Teams Get off the Ground: What United Flight 232 and Airline Flight Crews Can Tell Us About Team Communication

TL;DR: In 1989, United Airlines Flight 232 survived a catastrophic in-flight engine explosion because of the crew's ability to communicate while under crisis conditions as discussed by the authors, and they developed a descriptive, proposition-based model of the communication process dynamics found in such groups, which they call swift starting action teams.
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The need for ‘skeptical’ accountants in the era of Big Data

TL;DR: It is argued that accountants need to approach Big Data analysis as informed skeptics, being ever ready to challenge the analysis by asking good questions in appropriate topical areas.
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Effects of deliberate practice on crisis decision performance.

TL;DR: This study examined the impact of deliberate practice on pilot decision making in once-in-a-career crisis decision scenarios and found that deliberate practice significantly improves decision-making performance for wholly practiced crises but does not improve decision- making performance when the specific malfunction has not been practiced.