Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Jianna Jin

Biographic Data

ID4618842
NAMEJianna Jin
GIVEN NAMESJianna
FAMILY NAMEJin
SIGNATUREJIN J
AFFILIATIONSDepartment of Marketing & Logistics, Fisher College of Business The Ohio State University Columbus Ohio USA
ORCID0000-0002-8682-4697
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS2
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX1
  • A Framework for Understanding Consumer Response to the Depiction of Historically Underrepresented Identities in Marketing Communications

    Open Access•Cory Haltman, Jianna Jin et al.•ARTICLE•Journal of Consumer Research•2026

    In recent years, firms’ depictions of some historically underrepresented identities (HUIs) in marketing communications have elicited backlash, while depictions of other HUIs have been more broadly accepted. The present work develops a framework to explain when and why these divergent responses occur. We propose that, while liberals respond positively to the depiction of all HUIs due to their prioritization of the Fairness moral foundation, conser…

  • Avoiding embarrassment online

    Open Access•Jianna Jin, Jesse Walker et al.•ARTICLE•Journal of Consumer Psychology•2024•Cited by: 2•References: 4

    We explore how self‐presentation concerns and the desire to avoid embarrassment impact two distinct types of interactions consumers have with chatbots: interactions when a chatbot's identity is (1) not disclosed and therefore ambiguous or (2) disclosed. We propose that consumers feel less embarrassed with a chatbot than a human service agent in purchase contexts where self‐presentation concerns are active because consumers ascribe less mind to ch…

  • Avoiding embarrassment online

    Open Access•Jianna Jin, Jesse Walker et al.•ARTICLE•Journal of Consumer Psychology•2024•Cited by: 2•References: 4

    We explore how self‐presentation concerns and the desire to avoid embarrassment impact two distinct types of interactions consumers have with chatbots: interactions when a chatbot's identity is (1) not disclosed and therefore ambiguous or (2) disclosed. We propose that consumers feel less embarrassed with a chatbot than a human service agent in purchase contexts where self‐presentation concerns are active because consumers ascribe less mind to ch…

  • Avoiding embarrassment online

    Open Access•Jianna Jin, Jesse Walker et al.•ARTICLE•Journal of Consumer Psychology•2024•Cited by: 2•References: 4

    We explore how self‐presentation concerns and the desire to avoid embarrassment impact two distinct types of interactions consumers have with chatbots: interactions when a chatbot's identity is (1) not disclosed and therefore ambiguous or (2) disclosed. We propose that consumers feel less embarrassed with a chatbot than a human service agent in purchase contexts where self‐presentation concerns are active because consumers ascribe less mind to ch…

  • A Framework for Understanding Consumer Response to the Depiction of Historically Underrepresented Identities in Marketing Communications

    Open Access•Cory Haltman, Jianna Jin et al.•ARTICLE•Journal of Consumer Research•2026

    In recent years, firms’ depictions of some historically underrepresented identities (HUIs) in marketing communications have elicited backlash, while depictions of other HUIs have been more broadly accepted. The present work develops a framework to explain when and why these divergent responses occur. We propose that, while liberals respond positively to the depiction of all HUIs due to their prioritization of the Fairness moral foundation, conser…

Agency (philosophy) (1 works) · AI in Service Interactions (1 works) · Consumer Behavior in Brand Consumption and Identification (1 works) · Corporate Identity and Reputation (1 works) · Depiction (1 works) · Embarrassment (1 works) · Gender identity (1 works) · Identity (music) (1 works) · Marketing and Advertising Strategies (1 works) · Presentation (obstetrics (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae