Brent Kitchens

University of Virginia - McIntire School of Commerce

Assistant Professor

P.O. Box 400173

Charlottesville, VA 22904-4173

United States

SCHOLARLY PAPERS

4

DOWNLOADS

231

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (4)

1.

Revisiting Roll's R2 Puzzle

Number of pages: 37 Posted: 04 Feb 2020 Last Revised: 14 Oct 2020
Brent Kitchens, Robert Parham and Chris Yung
University of Virginia - McIntire School of Commerce, University of Virginia - McIntire School of Commerce and University of Virginia - McIntire School of Commerce
Downloads 69 (367,629)

Abstract:

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News, Media, Information, Price efficiency

2.

‘When Is a Liability Not a Liability’ Revisited: Should Financial Text Analysis Abandon General Lexicons?

Number of pages: 38 Posted: 25 Jan 2015
University of Virginia - McIntire School of Commerce, University of Connecticut - Department of Marketing, University of Miami - Department of Marketing and University of Florida
Downloads 63 (385,516)
Citation 1

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word sense disambiguation, sentiment analysis, financial text analysis

3.

Electronic Markets and Geographic Competition among Small, Local Firms

Forthcoming, Information Systems Research
Number of pages: 41 Posted: 28 Feb 2017 Last Revised: 27 Jun 2019
Brent Kitchens, Anuj Kumar and Praveen Pathak
University of Virginia - McIntire School of Commerce, University of Florida - Warrington College of Business and University of Florida
Downloads 61 (391,826)
Citation 1

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Electronic Markets, Daily Deals, Groupon, Geographic Competition, Small Business

4.

A Multi-Level Contextualized View of Phishing Susceptibility

Number of pages: 60 Posted: 01 Jul 2020 Last Revised: 20 Aug 2020
Ryan Wright, Steven L. Johnson and Brent Kitchens
University of Virginia - McIntire School of Commerce, University of Virginia - McIntire School of Commerce and University of Virginia - McIntire School of Commerce
Downloads 38 (478,414)

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Cybersecurity, Phishing, Phishing Susceptibility, Information Security, Contextual theory, Social Network Analysis, multi-level model