The influence of transparency, anthropomorphism, and positive politeness on chatbots for service recovery in E-health applications DOI Creative Commons

Zuhal ‘Alimul Hadi,

Dinda Adriani Siregar,

Gitan Sahl Tazakha Wijaya

и другие.

Cogent Social Sciences, Год журнала: 2024, Номер 10(1)

Опубликована: Ноя. 15, 2024

A service failure occurs when a provider cannot meet user expectations, and to customer expectations can reduce satisfaction, resulting in complaints. Based on this, this study aims analyze the influence of aspects chatbots consumer forgiveness that continuance intentions for recovery e-health. We obtained quantitative data from questionnaires filled out by 338 respondents qualitative interviews with 30 informants. The was processed using covariance-based structural equation model, while were content analysis method. This shows anthropomorphism transparency chatbot trustworthiness two dimensions (ability integrity) forgiveness. In addition, has significant effect users' intentions. Positive politeness another dimension trustworthiness—benevolence—did not significantly affect results are expected provide input e-health providers, especially developers, regarding should be present handling recovery.

Язык: Английский

Revolutionizing retail: The transformative power of service robots on shopping dynamics DOI
Nivin Vinoi, Amit Shankar, Reeti Agarwal

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 82, С. 104085 - 104085

Опубликована: Сен. 16, 2024

Язык: Английский

Процитировано

11

Anthropomorphic last-mile robots and consumer intention: An empirical test under a theoretical framework DOI
Shibo Xu, X Zhang,

R Kim

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 81, С. 104028 - 104028

Опубликована: Авг. 3, 2024

Язык: Английский

Процитировано

9

Chatbots at the frontline: Unveiling antecedents of customers’ willingness to accept chatbot intervention in service recovery DOI
Wen‐Hai Chih, Kai-Yu Wang, Hope Wilfred Banda

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2025, Номер 84, С. 104254 - 104254

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

A Literature Review on the Emerging Trends of AI Applications in E-Retailing: Insights from the Journal of Retailing and Consumer Services DOI
Özge HABİBOĞLU

Abant Sosyal Bilimler Dergisi, Год журнала: 2025, Номер 25(1), С. 365 - 389

Опубликована: Март 24, 2025

The use of artificial intelligence (AI) in the retail sector is steadily increasing. This study aims to reveal usage AI retailing over years. For thisKoh purpose, 137 studies published Journal Retailing and Consumer Services were analyzed according SPAR-4-SLR protocol. reviewed across four domains: publication year, consumer approach, technology applied, theoretical framework. Findings indicate that most 2024, primarily focusing on purchasing behavior, extensive chatbots, frequent application Technology Acceptance Model (TAM) grounding. research distinguishes itself by examining retailer-consumer behavior relationship, mainly contributing current knowledge this area. Keywords: AI, ıntelligence, retailing, behaviour

Язык: Английский

Процитировано

0

Examining the Positive and Negative Effects of Smartness and Humanness in Human‐Robot Interactions DOI
Amy Wong,

Jimmy Wong

Journal of Consumer Behaviour, Год журнала: 2025, Номер unknown

Опубликована: Апрель 24, 2025

ABSTRACT This study explores the positive and negative effects of perceived smartness humanness on consumer acceptance service robotic agents, particularly, regarding formation value creators such as trust attitude toward human–robot interactions (HRIs) well destructors stress emotion. Data were collected through a combination fieldwork experimental methods. The first study, approach, was conducted in library that deployed Temi robot. Findings from show significant robot trust. Moreover, partially mediated effect intention to use. second comprised an online scenario‐based experiment designed extend findings Study 1. validated creators. pinpoints distinctive factors impact robots, offering actionable insights for deploying agents frontline settings. By prioritizing design features optimize HRIs, this research bridges gap between theory practice, providing realistic view with robots.

Язык: Английский

Процитировано

0

Strategizing human-robot role matrix: balancing automation and human touch DOI
Dan Jin, Yu Fang, Yongguang Zou

и другие.

Journal of Hospitality Marketing & Management, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Июнь 2, 2025

Язык: Английский

Процитировано

0

The Role of Politeness Strategies in Enhancing Guest Satisfaction in the Hospitality Industry DOI Creative Commons

Ayaz Noorani

Journal of Policy Research, Год журнала: 2024, Номер 10(2), С. 66 - 74

Опубликована: Июнь 1, 2024

Language plays a significant role in hospitality. Different politeness strategies are used to welcome the guests. This study tried identify most common by hotel staff interactions with guests and analyze effectiveness of these different hospitality scenarios. To conduct this qualitative research study, five already published academic papers were selected using purposive sampling methods from Google Scholar collect data. Semi-structured interviews as data collection tools four conducted. The researcher found twelve positive that used, gave good feedback. concludes place value on professionalism exhibited staff. recommends hotels they should prioritize comprehensive training programs aimed at equipping necessary skills knowledge employ effectively their

Язык: Английский

Процитировано

0

The Optimal Design of Service Contact Point of Convenience Store Based on TRIZ Theory DOI

耀庆 饶

Modern Management, Год журнала: 2024, Номер 14(09), С. 2435 - 2445

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

The influence of transparency, anthropomorphism, and positive politeness on chatbots for service recovery in E-health applications DOI Creative Commons

Zuhal ‘Alimul Hadi,

Dinda Adriani Siregar,

Gitan Sahl Tazakha Wijaya

и другие.

Cogent Social Sciences, Год журнала: 2024, Номер 10(1)

Опубликована: Ноя. 15, 2024

A service failure occurs when a provider cannot meet user expectations, and to customer expectations can reduce satisfaction, resulting in complaints. Based on this, this study aims analyze the influence of aspects chatbots consumer forgiveness that continuance intentions for recovery e-health. We obtained quantitative data from questionnaires filled out by 338 respondents qualitative interviews with 30 informants. The was processed using covariance-based structural equation model, while were content analysis method. This shows anthropomorphism transparency chatbot trustworthiness two dimensions (ability integrity) forgiveness. In addition, has significant effect users' intentions. Positive politeness another dimension trustworthiness—benevolence—did not significantly affect results are expected provide input e-health providers, especially developers, regarding should be present handling recovery.

Язык: Английский

Процитировано

0