Chih-Hung Peng

National Chengchi University (NCCU) - College of Commerce

Taiwan

SCHOLARLY PAPERS

3

DOWNLOADS

884

SSRN CITATIONS

0

CROSSREF CITATIONS

1

Scholarly Papers (3)

1.

Overpricing of Streaming Licenses? Evidence from a Natural Experiment

Number of pages: 30 Posted: 21 Feb 2020 Last Revised: 15 Mar 2021
Desautels Faculty of Management, McGill University, HKU Business School, The University of Hong Kong, National Chengchi University (NCCU) - College of Commerce and The University of Hong Kong
Downloads 825 (35,869)
Citation 1

Abstract:

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subscription streaming, DVD sales, natural experiment, difference-in-differences, motion picture industry

2.

More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective

Information Systems Research, Forthcoming, Georgia Tech Scheller College of Business Research Paper No. 3588773
Number of pages: 49 Posted: 28 May 2020
Chih-Hung Peng, Dezhi Yin and Han Zhang
National Chengchi University (NCCU) - College of Commerce, University of South Florida and Georgia Institute of Technology - Scheller College of Business
Downloads 55 (445,538)

Abstract:

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medical Q&A, answer helpfulness, user-generated content, content-context congruence, fit, concreteness, emotional intensity, construal level

3.

Using Technology to Persuade: Visual Representation Technologies and Consensus Seeking in Virtual Teams

Peng, Chi-Hung, Nicholas H. Lurie, Sandra A. Slaughter (2019), "Using Technology to Persuade: Visual Representation Technologies and Consensus Seeking in Virtual Teams," Information Systems Research, 30(3), pp. 948-62, https://pubsonline.informs.org/doi/10.1287/isre.2019.0843
Number of pages: 29 Posted: 15 Apr 2021
Chih-Hung Peng, Nicholas H. Lurie and Sandra Slaughter
National Chengchi University (NCCU) - College of Commerce, University of Connecticut School of Business and Georgia Institute of Technology - Scheller College of Business
Downloads 4 (741,644)

Abstract:

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Virtual Teams, Consensus, Persuasion, Exactingness, Information Visualization, Decision Making, Visual Representation Technologies, Forecasting