Synthetic WOM? The Emergence of Generative Artificial Intelligence-Induced Recommendations DOI
Dušan Mladenović, Moein Beheshti, Tomaž Kolar

et al.

Journal of Computer Information Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: Oct. 25, 2024

This paper examines how Generative Artificial Intelligence (GAI) influences word-of-mouth (WOM) in travel and hospitality, focusing on synthetic WOM (syWOM). It explores GAI-driven reshapes traveler interactions decision-making an experience-centric industry. Using a literature review conceptual analysis approach1, this study the integration of GAI tools, such as ChatGPT, to enhance experiences. The presented highlights GAI's potential inducing syWOM its effects perceptions behaviors. Additionally, it addresses emerging role WOM, emphasizing need for further research impact planning engagement. presents fresh view interaction with travel, aiming inform future practical applications personalized

Language: Английский

An empirical analysis of eWOM valence effects: Integrating stimulus-organism-response, trust transfer theory, and theory of planned behavior perspectives DOI
Muhammad Dliya'ul Haq, Ting‐Hsiang Tseng, Hsiang‐Lan Cheng

et al.

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 104026 - 104026

Published: Aug. 14, 2024

Language: Английский

Citations

10

The restaurant delivery problem with uncertain cooking time and travel time DOI
Guiqin Xue, Zheng Wang, Yong Wang

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 190, P. 110039 - 110039

Published: March 3, 2024

Language: Английский

Citations

8

Does eWoM matter in s-commerce? A comparatives study between Kuwait and United Arab Emirates DOI Creative Commons
Hasan A. Abbas, Kamel Rouibah, Nabeel Al-Qirim

et al.

Global Knowledge Memory and Communication, Journal Year: 2025, Volume and Issue: 74(11), P. 140 - 162

Published: Jan. 24, 2025

Purpose This study aims to explore the antecedent factors that directly and indirectly influence electronic word of mouth (eWoM) for social commerce (s-commerce) in two developing countries (e.g. Kuwait United Arab Emirates [UAE]) by extending cognitive theory. Design/methodology/approach uses a previous robust model (Rouibah et al. , 2021) as theoretical background investigate compares antecedents (trust Instagram, perceived risks) on eWoM s-commerce through mediation three mediators (perceived enjoyment, value customer satisfaction) among countries. Data was collected from ( n = 1,132) UAE 190). Different statistical analyses structured equation modeling-based analysis moment structure are used test robustness research model. Findings found satisfaction be most important factor mediates effect independent both Surprisingly, enjoyment has no effect, trust Instagram risks considered imperative positive feedback. Research limitations/implications One limitation this is author does not focus difference between effects textual graphical information customers’ decisions buying merchandise. Another focuses UAE. Other Gulf Cooperation Council also growing exponentially, mobile internet penetration rates booming; they could trigger more studies whether differences occur all them. Practical implications The first implication it its field extend eWoM. To best author’s knowledge, compared online unique because authors examine six using platform opposed other platforms. Social third ones have applied different subjects e-commerce such tourism marketing but concentrated less s-commerce, where in-depth needed much theories explain human behavior. Originality/value Furthermore, these focused intention use (Dincer Dincer, 2023; X. Hu, Chen, Davison, Liu, 2022; Zhou 2023). However, attention actual use.

Language: Английский

Citations

0

One out of five stars! Negative restaurant attributions post-dissatisfactory delivery DOI
Deniz Kuter,

Gülden Asugman

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 128, P. 104167 - 104167

Published: March 22, 2025

Language: Английский

Citations

0

The review sentiment garden: Blossoming loss aversion and diminishing sensitivity across time and crisis DOI
Abhinav Sharma, Seunghun Shin, Juan Luis Nicolau

et al.

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 129, P. 104170 - 104170

Published: March 27, 2025

Language: Английский

Citations

0

Instant Logistics Service DOI
Poshan Yu, Y. XIA, Jean-Yves Le Corre

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 223 - 250

Published: April 2, 2025

As e-commerce thrives, instant logistics is crucial for food delivery. This study commences with an in-depth analysis and literature review of “Instant Logistic”, Food Delivery”, “Evaluation Instant Delivery Service Level”. Noting the absence a comprehensive service-level evaluation system delivery, it identifies main influencing factors like “delivery timeliness”, “quality”, “standardization”, “reliability” via reports. Using questionnaire surveys, correlation, multiple-linear regression analyses, determines factors' weights in service evaluation. A Robustness test validates model. research refines system, guiding delivery-scenario assessment. Its findings offer theoretical practical insights optimizing boosting customer satisfaction, fostering industry's sustainable growth.

Language: Английский

Citations

0

Triadic service failure and recovery: a literature review and guide to avenues for future research DOI
Lifei Bai, Tianshu Chu, Xiaorong Fu

et al.

Nankai Business Review International, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Purpose This study addresses the gap in understanding of triadic service failure and recovery (TSFR). It systematically assess TSFR domain by analyzing research trends, identifying gaps proposing avenues for future investigation. Design/methodology/approach systematic literature review analyzes 72 articles published between 2000 2024 related to TSFR. used a bibliometric analysis approach examine trends identify patterns existing literature. An “actor-context-tie” lens, complemented theoretical was adopted unpack complexities interactions knowledge gaps. Findings The reveals limitations prevalent theories applied highlights increasing actor plurality within transactions, diversified contexts emergence increasingly networked relationships. delineates structure knowledge, observes an evolving stemming from inadequacy dyadic models addressing complexity limited explanatory power framework. Originality/value provides first comprehensive overview TSFR, charting revealing through lens. offers objective assessment field proposes three directions, aiming revitalize interest provide novel dynamics.

Language: Английский

Citations

0

Exploring the social diffusion effects of green consumption: Evidence from green innovative products DOI
Zhihao Wang, Wei Li, Mengxin Wang

et al.

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 79, P. 103893 - 103893

Published: May 7, 2024

Language: Английский

Citations

3

It’s all your fault! restaurant vs. platform blame attribution in food delivery service failures DOI
Sarah Lefebvre, Marissa Orlowski, Laura Boman

et al.

British Food Journal, Journal Year: 2024, Volume and Issue: 126(8), P. 3037 - 3050

Published: July 15, 2024

Purpose While third-party food delivery continues to increase in popularity, surveys suggest nearly a quarter of deliveries suffer from service failures. With the limited research on delivery, we explore important questions (1) where customers place blame case failures with (i.e. platform or restaurant) and (2) does this depend type failure? Drawing attribution theory, signaling an exploratory study, demonstrate that typically perceive such mishaps be responsibility restaurant rather than itself. We also examine effect visible failure preventative actions taken by re-order intention. Design/methodology/approach conducted two online scenario-based studies customer failure. First, study approach (N Study1 = 512 ) was provide additional support for hypothesis development. An experiment Study2 252 then hypothesized effects. Findings results attribute as wrong items, missing cold food, leaking containers restaurants over platforms. Second, experimental inclusion observable cue indicating action, time-stamp information when order received packaged increases intention through underlying mechanism attribution. Originality/value contribute underexplored area our understanding scenarios. Further, practical method shift away are outside establishment’s control.

Language: Английский

Citations

2

Synthetic WOM? The Emergence of Generative Artificial Intelligence-Induced Recommendations DOI
Dušan Mladenović, Moein Beheshti, Tomaž Kolar

et al.

Journal of Computer Information Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: Oct. 25, 2024

This paper examines how Generative Artificial Intelligence (GAI) influences word-of-mouth (WOM) in travel and hospitality, focusing on synthetic WOM (syWOM). It explores GAI-driven reshapes traveler interactions decision-making an experience-centric industry. Using a literature review conceptual analysis approach1, this study the integration of GAI tools, such as ChatGPT, to enhance experiences. The presented highlights GAI's potential inducing syWOM its effects perceptions behaviors. Additionally, it addresses emerging role WOM, emphasizing need for further research impact planning engagement. presents fresh view interaction with travel, aiming inform future practical applications personalized

Language: Английский

Citations

0