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1
What Makes a Review Voted? An Empirical Investigation of Review Voting in Online Review Systems
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What Makes a Review Voted? An Empirical Investigation of Review Voting in Online Review Systems

Kuan, Kevin ; Hui, Kai-Lung ; Prasarnphanich, Pattarawan ; Lai, Hok-Yin

Journal of the Association for Information Systems, 2015-01, Vol.16 (1), p.48-71 [Periódico revisado por pares]

Atlanta: Association for Information Systems

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2
On being ‘Systematic’ in Literature Reviews in IS
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Artigo
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On being ‘Systematic’ in Literature Reviews in IS

Boell, Sebastian K ; Cecez-Kecmanovic, Dubravka

Journal of information technology, 2015-06, Vol.30 (2), p.161-173 [Periódico revisado por pares]

London, England: SAGE Publications

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3
Is This Review Believable? A Study of Factors Affecting the Credibility of Online Consumer Reviews from an ELM Perspective
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Artigo
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Is This Review Believable? A Study of Factors Affecting the Credibility of Online Consumer Reviews from an ELM Perspective

Cheung, Cindy ; Sia, Choon-Ling ; Kuan, Kevin

Journal of the Association for Information Systems, 2012-08, Vol.13 (8), p.618-635 [Periódico revisado por pares]

Atlanta: Association for Information Systems

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4
Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews
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Artigo
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Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews

Yin, Dezhi ; Bond, Samuel D. ; Zhang, Han

MIS quarterly, 2014-06, Vol.38 (2), p.539-560 [Periódico revisado por pares]

Minneapolis: Management Information Systems Research Center, University of Minnesota

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5
An Economic Analysis of Rebates Conditional on Positive Reviews
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Artigo
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An Economic Analysis of Rebates Conditional on Positive Reviews

Chen, Jianqing ; Guo, Zhiling ; Huang, Jian

Information systems research, 2022-03, Vol.33 (1), p.224-243 [Periódico revisado por pares]

Linthicum: INFORMS

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6
Utilization of open government data: A systematic literature review of types, conditions, effects and users
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Artigo
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Utilization of open government data: A systematic literature review of types, conditions, effects and users

Safarov, Igbal ; Meijer, Albert ; Grimmelikhuijsen, Stephan

Information polity, 2017-01, Vol.22 (1), p.1-24 [Periódico revisado por pares]

Amsterdam: IOS Press BV

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7
When do consumers value positive vs. negative reviews? An empirical investigation of confirmation bias in online word of mouth
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Artigo
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When do consumers value positive vs. negative reviews? An empirical investigation of confirmation bias in online word of mouth

Yin, Dezhi ; Mitra, Sabyasachi ; Zhang, Han

Information systems research, 2016-03, Vol.27 (1), p.131 [Periódico revisado por pares]

Institute for Operations Research and the Management Sciences

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8
Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints
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Artigo
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Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints

Ravichandran, T. ; Deng, Chaoqun

Information Systems Research, 2023-03, Vol.34 (1), p.319-341 [Periódico revisado por pares]

Linthicum: INFORMS

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9
Platform or Wholesale? A Strategic Tool for Online Retailers to Benefit from Third-Party Information
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Artigo
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Platform or Wholesale? A Strategic Tool for Online Retailers to Benefit from Third-Party Information

Kwark, Young ; Chen, Jianqing ; Raghunathan, Srinivasan

MIS quarterly, 2017-09, Vol.41 (3), p.763-A17 [Periódico revisado por pares]

Minneapolis: Management Information Systems Research Center, University of Minnesota

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10
Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews
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Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews

Chen, Wei ; Gu, Bin ; Ye, Qiang ; Zhu, Kevin Xiaoguo

Information systems research, 2019-03, Vol.30 (1), p.81-96 [Periódico revisado por pares]

Linthicum: INFORMS

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