Artificial Intelligence in Service
By Ming-Hui Huang, Roland T. Rust. 2018
2,912 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Industrial and Manufacturing Engineering, Marketing, Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Roland T. Rust
- Ming-Hui Huang
- Michael Christofi
- Demetris Vrontis
- Vijay Pereira
- Elias Hadjielias
- Daniel Belanche
- Luis Vicente Casaló
In Industrial and Manufacturing Engineering
- Daniel Belanche
- Luis Vicente Casaló
- Carlos Flavián
- Roland T. Rust
- Ming-Hui Huang
- Jeroen J. L. Schepers
- Iis P. Tussyadiah
- C. Arun
In Marketing
- Luis Vicente Casaló
- Jeroen J. L. Schepers
- Carlos Flavián
- Daniel Belanche
- Anna S. Mattila
- Ming-Hui Huang
- Roland T. Rust
- Iis P. Tussyadiah
In Human-Computer Interaction
- Carlos Flavián
- Luis Vicente Casaló
- Daniel Belanche
- Roland T. Rust
- Ming-Hui Huang
- Jeroen J. L. Schepers
- Iis P. Tussyadiah
- C. Arun
Citations in the corpus
- GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models (2023, background): “In this way, adoption may be driven by progress on some of the ethical and safety risks associated with LLMs: bias, fabrication of facts, and misalignment, to name a few OpenAI (2023a).”
- Robotics for Customer Service: A Useful Complement or an Ultimate Substitute? (2019, background): “As robots increasingly join the service workforce, how to optimally integrate human and robotic labor has become a very interesting and important research topic (Huang and Rust 2018; Shah 2016; Zeller and Smith 2014).”
- The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence (2022, background): “Huang and Rust (2018) stated that AI is threatening services provided by people.”
- Human Trust in Artificial Intelligence: Review of Empirical Research (2020, background): “This revolution and its implications highlight new theoretical and empirical questions that need to be addressed by organizational researchers, as AI has the potential to dramatically ,decisionsaremade, andknowledgeismanaged(Brynjolfsson,Mitchell,& Rock,2018;Danaher,2017;Huang&Rust,2018;Kaplan, 2015”
- Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases (2019, background): “In marketing, Huang and Rust (2018) note that the future trend of AI applications hinges upon empathetic tasks that require computers to understand people ’ s emotional status and respond appropriately with care and feeling.”
- A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism (2020, background): “Huang and Rust (2018) suggested four different skills in service jobs: mechanical, analytical, intuitive, and empathetic intelligence.”