On the public citation graph

I'm Learning and Improving! The Impact of Learning Evidence on Customer Tolerance of Chatbot Service Failure

https://doi.org/10.2139/ssrn.5162783
0 signed · 69 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/jcpy.1181openalex-snapshot
Preference for Human (vs. Robotic) Labor is Stronger in Symbolic Consumption Contexts
inferredcites →https://doi.org/10.1002/jcpy.1313openalex-snapshot
How to overcome algorithm aversion: Learning from mistakes
inferredcites →https://doi.org/10.1002/jcpy.1330openalex-snapshot
The rise of chatbots: The effect of using chatbot agents on consumers' responses to request rejection
inferredcites →https://doi.org/10.1002/job.2123openalex-snapshot
Supervisor role overload and frustration as antecedents of abusive supervision: The moderating role of supervisor personality
inferredcites →https://doi.org/10.1002/mar.20037openalex-snapshot
Exploring the connection between frustration and consumer choice behavior in a dynamic decision environment
inferredcites →https://doi.org/10.1002/mar.20688openalex-snapshot
Effects of Sponsorship Disclosure Timing on the Processing of Sponsored Content: A Study on the Effectiveness of European Disclosure Regulations
inferredcites →https://doi.org/10.1002/mar.21706openalex-snapshot
The searching artificial intelligence: Consumers show less aversion to algorithm‐recommended search product
inferredcites →https://doi.org/10.1002/mar.21723openalex-snapshot
Buffer bots: The role of virtual service agents in mitigating negative effects when service fails
inferredcites →https://doi.org/10.1002/mar.21856openalex-snapshot
There's not much to tell: The impact of emotional resilience on negative word‐of‐mouth following service failure
inferredcites →https://doi.org/10.1007/s10551-022-05045-wopenalex-snapshot
How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment
inferredcites →https://doi.org/10.1007/s12525-021-00475-2openalex-snapshot
Machine learning and deep learning
inferredcites →https://doi.org/10.1007/s12525-021-00509-9openalex-snapshot
Immunizing with information – Inoculation messages against conversational agents’ response failures
inferredcites →https://doi.org/10.1007/s12525-023-00673-0openalex-snapshot
Seeking empathy or suggesting a solution? Effects of chatbot messages on service failure recovery
inferredcites →https://doi.org/10.1007/s12599-020-00678-5openalex-snapshot
Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn
inferredcites →https://doi.org/10.1016/j.annals.2020.103114openalex-snapshot
Does a cute artificial intelligence assistant soften the blow? The impact of cuteness on customer tolerance of assistant service failure
inferredcites →https://doi.org/10.1016/j.annals.2022.103439openalex-snapshot
Artificial intelligence humor in service recovery
inferredcites →https://doi.org/10.1016/j.chb.2004.03.015openalex-snapshot
A model for computer frustration: the role of instrumental and dispositional factors on incident, session, and post-session frustration and mood
inferredcites →https://doi.org/10.1016/j.chb.2019.04.001openalex-snapshot
Feeling our way to machine minds: People's emotions when perceiving mind in artificial intelligence
inferredcites →https://doi.org/10.1016/j.chb.2020.106520openalex-snapshot
Who gets the blame for service failures? Attribution of responsibility toward robot versus human service providers and service firms
inferredcites →https://doi.org/10.1016/j.chb.2021.106993openalex-snapshot
Artificial intelligence service recovery: The role of empathic response in hospitality customers’ continuous usage intention
inferredcites →https://doi.org/10.1016/j.chb.2022.107427openalex-snapshot
When the machine learns from users, is it helping or snooping?
inferredcites →https://doi.org/10.1016/j.chb.2022.107485openalex-snapshot
Make chatbots more adaptive: Dual pathways linking human-like cues and tailored response to trust in interactions with chatbots
inferredcites →https://doi.org/10.1016/j.chb.2023.107954openalex-snapshot
How to leverage anthropomorphism for chatbot service interfaces: The interplay of communication style and personification
inferredcites →https://doi.org/10.1016/j.compedu.2020.103862openalex-snapshot
Chatbots for learning: A review of educational chatbots for the Facebook Messenger
inferredcites →https://doi.org/10.1016/j.elerap.2022.101199openalex-snapshot
Should the chatbot “save itself” or “be helped by others”? The influence of service recovery types on consumer perceptions of recovery satisfaction
inferredcites →https://doi.org/10.1016/j.ijhcs.2020.102551openalex-snapshot
The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2024.102771openalex-snapshot
Humans as teammates: The signal of human–AI teaming enhances consumer acceptance of chatbots
inferredcites →https://doi.org/10.1016/j.im.2023.103834openalex-snapshot
Understanding customer satisfaction in curated subscription services: Moderating roles of subscription time and information disclosure
inferredcites →https://doi.org/10.1016/j.intmar.2017.11.001openalex-snapshot
How Brand Disclosure Timing and Brand Prominence Influence Consumer's Intention to Share Branded Entertainment Content
inferredcites →https://doi.org/10.1016/j.ipm.2022.102940openalex-snapshot
Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms
inferredcites →https://doi.org/10.1016/j.ipm.2023.103440openalex-snapshot
Intelligent chatbot interaction system capable for sentimental analysis using hybrid machine learning algorithms
inferredcites →https://doi.org/10.1016/j.jbusres.2011.02.005openalex-snapshot
Consumer responses to price discrimination: Discriminating bases, inequality status, and information disclosure timing influences
inferredcites →https://doi.org/10.1016/j.jbusres.2018.10.004openalex-snapshot
Chatbot e-service and customer satisfaction regarding luxury brands
inferredcites →https://doi.org/10.1016/j.jbusres.2020.04.030openalex-snapshot
Customer service chatbots: Anthropomorphism and adoption
inferredcites →https://doi.org/10.1016/j.jbusres.2023.114088openalex-snapshot
A time(ly) perspective of the service recovery paradox: How organizational learning moderates follow-up recovery effects
inferredcites →https://doi.org/10.1016/j.jbusres.2023.114360openalex-snapshot
The blame shift: Robot service failures hold service firms more accountable
inferredcites →https://doi.org/10.1016/j.jretconser.2020.102176openalex-snapshot
Chatbots in retailers’ customer communication: How to measure their acceptance?
inferredcites →https://doi.org/10.1016/j.jretconser.2021.102551openalex-snapshot
The future of service: The power of emotion in human-robot interaction
inferredcites →https://doi.org/10.1016/j.jretconser.2022.103044openalex-snapshot
Chatbots and service failure: When does it lead to customer aggression
inferredcites →https://doi.org/10.1016/j.jretconser.2023.103323openalex-snapshot
Appreciation vs. apology: Research on the influence mechanism of chatbot service recovery based on politeness theory
inferredcites →https://doi.org/10.1016/j.jretconser.2023.103325openalex-snapshot
Whether to trust chatbots: Applying the event-related approach to understand consumers’ emotional experiences in interactions with chatbots in e-commerce
inferredcites →https://doi.org/10.1016/j.jretconser.2023.103585openalex-snapshot
The impact of intelligent customer service agents’ initial response on consumers’ continuous interaction intention
inferredcites →https://doi.org/10.1016/j.techfore.2023.122427openalex-snapshot
The worst is not to fail, but to fail to learn from failure: A multi-method empirical validation of learning from innovation failure
inferredcites →https://doi.org/10.1016/j.techfore.2023.123025openalex-snapshot
Anthropomorphic chatbots' for future healthcare services: Effects of personality, gender, and roles on source credibility, user satisfaction, and intention to use
inferredcites →https://doi.org/10.1016/j.tourman.2023.104835openalex-snapshot
Emotional expression by artificial intelligence chatbots to improve customer satisfaction: Underlying mechanism and boundary conditions
inferredcites →https://doi.org/10.1037/xge0000033openalex-snapshot
Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err
inferredcites →https://doi.org/10.1075/ijcl.10.4.06shaopenalex-snapshot
Using corpora in machine-learning chatbot systems
inferredcites →https://doi.org/10.1080/02642069.2020.1748014openalex-snapshot
When AI-based services fail: examining the effect of the self-AI connection on willingness to share negative word-of-mouth after service failures
inferredcites →https://doi.org/10.1080/02642069.2023.2166493openalex-snapshot
Determinants and consequences of trust in AI-based customer service chatbots
inferredcites →https://doi.org/10.1080/13683500.2018.1502260openalex-snapshot
To smile or not to smile – an eye-tracking study on service recovery
inferredcites →https://doi.org/10.1093/jcr/ucz013openalex-snapshot
Resistance to Medical Artificial Intelligence
inferredcites →https://doi.org/10.1108/ijchm-10-2020-1244openalex-snapshot
“Find a flight for me, Oscar!” Motivational customer experiences with chatbots
inferredcites →https://doi.org/10.1108/intr-07-2023-0551openalex-snapshot
The golden zone of AI’s emotional expression in frontline chatbot service failures
inferredcites →https://doi.org/10.1108/jhtt-11-2023-0374openalex-snapshot
Chatbot symbolic recovery and customer forgiveness: a moderated mediation model
inferredcites →https://doi.org/10.1108/josm-10-2020-0380openalex-snapshot
Trust me, I'm a bot – repercussions of chatbot disclosure in different service frontline settings
inferredcites →https://doi.org/10.1145/3579460openalex-snapshot
Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust
inferredcites →https://doi.org/10.1146/annurev-psych-010213-115043openalex-snapshot
Emotion and Decision Making
inferredcites →https://doi.org/10.1177/0022242919882428openalex-snapshot
Featuring Mistakes: The Persuasive Impact of Purchase Mistakes in Online Reviews
inferredcites →https://doi.org/10.1177/00222429211045687openalex-snapshot
Blame the Bot: Anthropomorphism and Anger in Customer–Chatbot Interactions
inferredcites →https://doi.org/10.1177/0022243719851788openalex-snapshot
Task-Dependent Algorithm Aversion
inferredcites →https://doi.org/10.1177/1094670520902266openalex-snapshot
Engaged to a Robot? The Role of AI in Service
inferredcites →https://doi.org/10.1177/1094670520964872openalex-snapshot
Avatar Design of Virtual Salespeople: Mitigation of Recommendation Conflicts
inferredcites →https://doi.org/10.1177/10949968221134492openalex-snapshot
Rage Against the Machine: Experimental Insights into Customers’ Negative Emotional Responses, Attributions of Responsibility, and Coping Strategies in Artificial Intelligence–Based Service Failures
inferredcites →https://doi.org/10.1177/1096348003257328openalex-snapshot
Consumer Frustration in the Customer-Server Exchange: The Role of Attitudes Toward Complaining and Information Inadequacy Related to Service Failures
inferredcites →https://doi.org/10.1177/1747021820903439openalex-snapshot
The intuitive use of contextual information in decisions made with verbal and numerical quantifiers
inferredcites →https://doi.org/10.1207/s15327590ijhc1703_3openalex-snapshot
Determining Causes and Severity of End-User Frustration
inferredcites →https://doi.org/10.1287/mksc.2019.1192openalex-snapshot
Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases
inferredcites →https://doi.org/10.3389/fpsyg.2022.922503openalex-snapshot
The Effects of Chatbot Service Recovery With Emotion Words on Customer Satisfaction, Repurchase Intention, and Positive Word-Of-Mouth
inferredcites →https://doi.org/10.3390/app8060895openalex-snapshot
Evaluating Human–Automation Etiquette Strategies to Mitigate User Frustration and Improve Learning in Affect-Aware Tutoring
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.