The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
COVID-19 and hospitality 5.0: Redefining hospitality operations
Open accessAbstract
The sudden outbreak of COVID-19 has severely affected the global hospitality industry. The hygiene and cleanliness of hotels has become the focal point in the recovery plan during COVID-19. This study investigates the effects of past disasters on the global hospitality industry, and how the industry responded to them. Since past pandemics and epidemics identified hygiene and cleanliness as an important factor, this study further explores the role of technology in ensuring hygiene and cleanliness. Hence, this study further examines the scalability of Industry 5.0 design principles into the hospitality context, leading to Hospitality 5.0 to improve operational efficiency. The study further delineates how Hospitality 5.0 technologies can ensure hygiene and cleanliness in various touchpoints in customer’s journey. This study serves as a foundation to understand how synergy between humans and machines can be achieved through Hospitality 5.0. The theoretical and practical implications are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Understanding customer experience throughout the customer journey
Lemon, K. N., & Verhoef, P. C. (2016) · Journal of Marketing · doi:10.1509/jm.15.0420 · Cited by 5,765
Artificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978
Design Principles for Industrie 4.0 Scenarios
Hermann, M., Pentek, T., & Otto, B. (2016) · 2016 49th Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.488 · Cited by 2,974
Brave new world: service robots in the frontline
Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018) · Journal of Service Management · doi:10.1108/josm-04-2018-0119 · Cited by 2,315
Industry 5.0—A Human-Centric Solution
Nahavandi, S. (2019) · Sustainability · doi:10.3390/su11164371 · Cited by 1,695
Technology Infusion in Service Encounters
Bitner, M. J., Brown, S. W., & Meuter, M. L. (2000) · Journal of the Academy of Marketing Science · doi:10.1177/0092070300281013 · Cited by 1,543
The future of manufacturing industry: a strategic roadmap toward Industry 4.0
Ghobakhloo, M. (2018) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-02-2018-0057 · Cited by 1,381
Towards a framework for tourism disaster management
Faulkner, B. (2001) · Tourism Management · doi:10.1016/s0261-5177(00)00048-0 · Cited by 1,335
The industrial management of SMEs in the era of Industry 4.0
Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1372647 · Cited by 1,188
Metadata
- Authors
- Pillai, S. G., Haldorai, K., Seo, W. S., & Kim, W. G.
- Venue
- International Journal of Hospitality Management
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 94
- Pages
- 102869
- ISSN
- 0278-4319 (ISSN-L)
- OpenAlex
- W3124153019
- Cited by
- 303
- References
- 77
- FWCI
- 20.11
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: COVID-19 and hospitality 5.0: Redefining hospitality operations. https://app.cochat.ai/papers/10.1016/j.ijhm.2021.102869
- The paper
- Pillai, S. G., Haldorai, K., Seo, W. S., & Kim, W. G. (2021). COVID-19 and hospitality 5.0: Redefining hospitality operations. International Journal of Hospitality Management. https://doi.org/10.1016/j.ijhm.2021.102869
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.