Erin Chao Ling
Biographic Data
| ID | 4629049 |
|---|---|
| NAME | Erin Chao Ling |
| GIVEN NAMES | Erin Chao |
| FAMILY NAME | Ling |
| SIGNATURE | LING E C |
| AFFILIATIONS | University of Surrey |
| ORCID | 0000-0002-3444-2689 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Perceived Intelligence of Artificially Intelligent Assistants for Travel: Scale Development and Validation
This study developed a perceived intelligence scale for artificially intelligent (AI) assistants and investigated its impact on users’ travel-related behavioral intentions. A four-stage study with a mixed-methods design was conducted. Study 1 identified three dimensions and 26 initial items through a systematic literature review, interviews, and focus group discussions. Study 2 used exploratory factor analysis to refine the items. Through composi…
Drivers of organizational adoption of automation
X=(tourism_work) Y=(sdg8) While Y=true: Automate(x)
X=(tourism_work) Y=(sdg8) While Y=true: Automate(x)
Perceived Intelligence of Artificially Intelligent Assistants for Travel: Scale Development and Validation
This study developed a perceived intelligence scale for artificially intelligent (AI) assistants and investigated its impact on users’ travel-related behavioral intentions. A four-stage study with a mixed-methods design was conducted. Study 1 identified three dimensions and 26 initial items through a systematic literature review, interviews, and focus group discussions. Study 2 used exploratory factor analysis to refine the items. Through composi…
Drivers of organizational adoption of automation
X=(tourism_work) Y=(sdg8) While Y=true: Automate(x)
Drivers of organizational adoption of automation
Perceived Intelligence of Artificially Intelligent Assistants for Travel: Scale Development and Validation
This study developed a perceived intelligence scale for artificially intelligent (AI) assistants and investigated its impact on users’ travel-related behavioral intentions. A four-stage study with a mixed-methods design was conducted. Study 1 identified three dimensions and 26 initial items through a systematic literature review, interviews, and focus group discussions. Study 2 used exploratory factor analysis to refine the items. Through composi…
AI in Service Interactions (2 works) · Automation (2 works) · Business (2 works) · Computer Science (2 works) · Digital Marketing and Social Media (2 works) · Economic shortage (2 works) · Engineering (2 works) · Government (linguistics (2 works) · Knowledge management (2 works) · Marketing (2 works)