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Rebecca Jen-Hui Wang

Biographic Data

ID4101092
NAMERebecca Jen-Hui Wang
GIVEN NAMESRebecca Jen-Hui
FAMILY NAMEWang
SIGNATUREWANG R J
AFFILIATIONSLehigh University
ORCID0000-0002-7006-8460
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS36
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2024
H-INDEX1
  • To err is human: Bias salience can help overcome resistance to medical AI

    Open Access•Mathew S Isaac, Rebecca Jen-Hui Wang et al.•ARTICLE•Computers in Human Behavior•2024

  • The Downside of Divinity? Reputational Harm to Sectarian Universities from Overtly Religious Advertising

    Mathew S Isaac, Carl Obermiller et al.•ARTICLE•Journal of Advertising•2021

    The present research explores whether the use of overtly religious advertising by a sectarian university affects its academic reputation. The authors propose that individuals assume universities that engage in more (vs. less) overt religious advertising devote a greater proportion of their institutional resources toward religious education. Further, they posit that individuals exhibit zero-sum thinking about resource allocation whereby they belie…

  • Branded mobile application adoption and customer engagement behavior

    Open Access•Rebecca Jen-Hui Wang•ARTICLE•Computers in Human Behavior•2020

  • Automated Text Analysis for Consumer Research

    Open Access•Ashlee Humphreys, Rebecca Jen-Hui Wang et al.•ARTICLE•Journal of Consumer Research•2018•Cited by: 36•References: 187

    The amount of digital text available for analysis by consumer researchers has risen dramatically. Consumer discussions on the internet, product reviews, and digital archives of news articles and press releases are just a few potential sources for insights about consumer attitudes, interaction, and culture. Drawing from linguistic theory and methods, this article presents an overview of automated text analysis, providing integration of linguistic …

  • Automated Text Analysis for Consumer Research

    Open Access•Ashlee Humphreys, Rebecca Jen-Hui Wang et al.•ARTICLE•Journal of Consumer Research•2018•Cited by: 36•References: 187

    The amount of digital text available for analysis by consumer researchers has risen dramatically. Consumer discussions on the internet, product reviews, and digital archives of news articles and press releases are just a few potential sources for insights about consumer attitudes, interaction, and culture. Drawing from linguistic theory and methods, this article presents an overview of automated text analysis, providing integration of linguistic …

  • Automated Text Analysis for Consumer Research

    Open Access•Ashlee Humphreys, Rebecca Jen-Hui Wang et al.•ARTICLE•Journal of Consumer Research•2018•Cited by: 36•References: 187

    The amount of digital text available for analysis by consumer researchers has risen dramatically. Consumer discussions on the internet, product reviews, and digital archives of news articles and press releases are just a few potential sources for insights about consumer attitudes, interaction, and culture. Drawing from linguistic theory and methods, this article presents an overview of automated text analysis, providing integration of linguistic …

  • Branded mobile application adoption and customer engagement behavior

    Open Access•Rebecca Jen-Hui Wang•ARTICLE•Computers in Human Behavior•2020

  • The Downside of Divinity? Reputational Harm to Sectarian Universities from Overtly Religious Advertising

    Mathew S Isaac, Carl Obermiller et al.•ARTICLE•Journal of Advertising•2021

    The present research explores whether the use of overtly religious advertising by a sectarian university affects its academic reputation. The authors propose that individuals assume universities that engage in more (vs. less) overt religious advertising devote a greater proportion of their institutional resources toward religious education. Further, they posit that individuals exhibit zero-sum thinking about resource allocation whereby they belie…

  • To err is human: Bias salience can help overcome resistance to medical AI

    Open Access•Mathew S Isaac, Rebecca Jen-Hui Wang et al.•ARTICLE•Computers in Human Behavior•2024

Advertising (3 works) · Computer Science (3 works) · Psychology (3 works) · Social Psychology (3 works) · Business (2 works) · Digital Marketing and Social Media (2 works) · Sociology (2 works) · World Wide Web (2 works) · Affect (linguistics) (1 works) · Artificial Intelligence in Healthcare and Education (1 works)

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