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Article
Publication date: 17 September 2024

Eunjoo Jin, Yuhosua Ryoo, WooJin Kim and Y. Greg Song

Notwithstanding their potential benefits especially for individuals with low health literacy, users are still somewhat skeptical about the reliability of healthcare chatbots. The…

Abstract

Purpose

Notwithstanding their potential benefits especially for individuals with low health literacy, users are still somewhat skeptical about the reliability of healthcare chatbots. The present study aims to address this challenge by investigating strategies to enhance users’ cognitive and emotional trust in healthcare chatbots. Particularly, this study aims to understand the effects of chatbot design cues in increasing trust and future chatbot use intention for low health literacy users.

Design/methodology/approach

We conducted two experimental studies with a final sample of 327 (Study 1) and 241 (Study 2). Three different chatbots were developed (Chatbot design: Bot vs Male-doctor vs Female-doctor). Participants were asked to have a medical consultation with the chatbot. Participants self-reported their health literacy scores. The PROCESS model 7 was used to analyze the hypotheses.

Findings

The results showed that the female-doctor cues elicited greater cognitive and emotional trust, whereas the male-doctor cues only led to greater cognitive trust (vs bot-like cues). Importantly, this study found that users’ health literacy is a significant moderating factor in shaping cognitive and emotional trust. The results indicated that both the female and male-doctor cues’ positive effects on cognitive trust were significant for those with lower levels of health literacy. Furthermore, the positive effect of the female-doctor cues on emotional trust was also significant only for those whose health literacy level was low. The increased cognitive and emotional trust led to greater future intention to use the chatbot, confirming significant moderated mediation effects.

Originality/value

Despite the strong economic and educational benefits of healthcare chatbots for low health literacy users, studies examining how healthcare chatbot design cues affect low health literate users surprisingly remained scarce. The results of this study suggest that healthcare chatbots can be a promising technological intervention to narrow the health literacy gap when aligned with appropriate design cues.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 24 August 2023

Ben Arviv, Amir Shani and Yaniv Poria

The aim of the study is to capture consumers' conceptualization of ethnic food and ethnic restaurants, focusing on what it takes for ethnic restaurants to be perceived authentic.

Abstract

Purpose

The aim of the study is to capture consumers' conceptualization of ethnic food and ethnic restaurants, focusing on what it takes for ethnic restaurants to be perceived authentic.

Design/methodology/approach

Qualitative research, based on semi-structured in-depth interviews which were transcribed and subjected to inductive thematic analysis.

Findings

The findings conceptualize what ethnic food and ethnic-authentic restaurant are, leading to formulating the criteria that authentic ethnic restaurant should meet.

Research limitations/implications

Findings have practical implications for restaurateurs interested in establishing themselves as ethnically authentic and for businesses focusing on ethnic food. This study was based on Israeli-Jewish participants; studies with other populations will contribute to the findings' trustability.

Originality/value

This study provides novel and critical insights into ethnic restaurant managements and to the customer conceptualization of the concept of ethnic authentic, demonstrating it being a multifaceted concept.

Details

Journal of Hospitality and Tourism Insights, vol. 7 no. 4
Type: Research Article
ISSN: 2514-9792

Keywords

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