Exploring the linkage between remote work and workation in a DT-ANN approach
An East Asia perspective
Bibliographic Data
| ID | 21699486 |
|---|---|
| Authors | Che‐Jen Su (0000-0002-0373-4638, Hotel and Institutional Management, Fu Jen Catholic University, corresponding author), Kunihiko Moriya (Atomi University), Nicolas Lorgnier (0000-0001-7511-5978, Providence College School of Business), Yi-Fang Lan (China Engineering Consultants, Inc.) |
| Year | 2026 |
| Volume | 29 |
| Issue | 12 |
| Pages | 2525-2548 |
| Publication date | 2026-06-18 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2025.2515583 |
| OpenAlex | W4411020384 |
| Language | EN |
| References cited | 49 |
The global spread of COVID-19 gave rise to semi-compulsory telecommuting, which has facilitated new work-leisure styles, such as workations, as an alternative form of tourism that responds to post-pandemic-era challenges. We investigated 800 cases of teleworkers in Taiwan and Japan using decision tree (DT) and artificial neural network (ANN) analyses, and estimated and classified teleworkers’ experience/inexperience with workations. Our results revealed that remote workers’ society/culture and work roles were strong predictors of their experience/inexperience with workations. For both the DT and ANN models, inexperience, rather than experience, was found to be the prediction’s more suitable target category for marketers
Archaeology · China · East Asia · Economic geography · Geography · Regional science · Tourism · Computer Science · Digital Economy and Work Transformation · Engineering · Work-Family Balance Challenges · Artificial Intelligence
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| Citation velocity | historical |
|---|---|
| Highly cited | No |