Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 387

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges

Nam, Kichan, Dutt, Christopher S., Chathoth, Prakash, Daghfous, Abdelkader, Khan, M. Sajid·2021·Electronic Markets

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s12525-020-00442-3

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 9 references

Research works printed but not linked: 61

  1. Abu-Khadra, H., & Ziadat, K. (2012). ERP diffusion and assimilation using IT-innovation framework. In Y. Dwivedi, M. Wade, & S. Schneberger (Eds.), Information systems theory. Integrated series in information systems (Vol. 29). New York: Springer.
  2. Belanche, D., Casalo, L. V., Flavian, C., & Schepers, J. (2019). Service robot implementation: A theoretical framework and research agenda. The Service Industries Journal. https://doi.org/10.1080/02642069.2019.1672666 . · DOI · Paper page
  3. Bernard, H. R. (2002). Research methods in anthropology: Qualitative and quantitative methods (3rd ed.). Walnut Creek: AltaMira Press.
  4. Bowen, J., & Morosan, C. (2018). Beware hospitality industry: The robots are coming. Worldwide Hospitality and Tourism Themes, 10(6), 726–733. · DOI · Paper page
  5. Buhalis, D. (2020). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: A perspective article. Tourism Review, 75(1), 267–272. https://doi.org/10.1108/tr-06-2019-0258 . · DOI · Paper page
  6. Buhalis, D., & Leung, R. (2018). Smart hospitality – Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 71, 41–50. https://doi.org/10.1016/j.ijhm.2017.11.011 . · DOI · Paper page
  7. Buhalis, D., & Sinarta, Y. (2019). Real-time co-creation and newness service: Lessons from tourism and hospitality. Journal of Travel & Tourism Marketing, 36(5), 563–582. https://doi.org/10.1080/10548408.2019.1592059 . · DOI · Paper page
  8. Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., & Hofacker, C. (2019). Technological disruptions in services: Lessons from tourism and hospitality. Journal of Service Management, 30(4), 484–506. https://doi.org/10.1108/josm-12-2018-0398 . · DOI · Paper page
  9. Cheatham, B., Javanmardian, K., and Samandari, H. (2019). Confronting the risks of artificial intelligence. McKinsey Quarterly. Apr. 1–9. Retrieved 1st June, 2020, from: https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/confronting-the-risks-of-artificial-intelligence
  10. Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. · DOI · Paper page
  11. Daghfous, A., Belkhodja, O., & Ahmad, N. (2018). Understanding and managing knowledge transfer for customers in IT adoption. Information Technology & People, 31(2), 428–454. https://doi.org/10.1108/itp-10-2016-0222 . · DOI
  12. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world: Don’t start with moon shots. Harvard Business Review, 96, 108–116.
  13. de Kervenoael, R., Hasan, R., Schwob, A., & Goh, E. (2020). Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots. Tourism Management, 78, 104042. · DOI · Paper page
  14. Drexler, N., & Lapre, V. B. (2019). For better or worse: Shaping the hospitality industry through robotics and artificial intelligence. Research in Hospitality Management, 9(2), 117–120. https://doi.org/10.1080/22243534.2019.1689701 . · DOI
  15. DTCM. (2018). Dubai’s hotel sector demonstrates resilience with 11.1% CAGR in forecasted inventory over 2017–2019 to reach 35.5 million occupied room nights. Retrieved from: https://www.visitdubai.com/en/department-of-tourism/press-centre/press-releases/dubai-hotel-outlook
  16. DTCM. (2020b). Dubai surpasses global tourism growth to deliver an all-time high 16.73 million overnight visitors in 2019. Retrieved from: https://www.visitdubai.com/en/department-of-tourism/press-centre/press-releases/dubai-surpasses-global-tourism-growth
  17. Feldman, D. S. (1995). Asset management: Here to stay. Cornell Hospitality Quarterly, 36(5), 36–51. https://doi.org/10.1177/001088049503600522 . · doi:10.1177/001088049503600522
  18. Frohlich, M. T., & Westbrook, R. (2002). Demand chain management in manufacturing and services: Web-based integration, drivers and performance. Journal of Operations Management, 20(6), 729–745. · DOI · Paper page
  19. Go, H., Kang, M., and Suh, S. C. (2019). Machine learning of robots in tourism and hospitality: Interactive technology acceptance model (iTAM) – cutting egde. Tourism Review, 75(4), 625-636. https://doi.org/10.1108/TR-02-2019-0062 · DOI · Paper page
  20. Gummerson, E. (2008). Case studies. In R. Thorpe & R. Holt (Eds.), The Sage dictionary of qualitative management research. London: Sage.
  21. Hamel, S. (2019. Bangkok tops mastercard’s global destination cities index for the fourth consecutive year. Mastercard. Retrieved from: https://newsroom.mastercard.com/press-releases/bangkok-tops-mastercards-global-destination-cities-index-for-the-fourth-consecutive-year/
  22. Ho, T. H., Tojib, D., & Tsarneko, Y. (2020). Human staff vs. service robot vs. fellow customer: Does it matter who helps your customer following a service failure incident? International Journal of Hospitality Management, 87. Doi: https://doi.org/10.1016/j.ijhm.2020.102501 · DOI · Paper page
  23. Hwang, J., Kim, H., & Kim, W. (2019). Investigating motivated consumer innovativeness in the context of drone food delivery services. Journal of Hospitality and Tourism Management, 38, 102–110. · DOI · Paper page
  24. Imad, A. S. (2019). Remodeling hospitality industry through artificial intelligence. Conference proceedings of th13th International conference on software, knowledge, information management and applications. 26–28 Aug. Maldives. · doi:10.1109/skima47702.2019.8982488
  25. Ivanov, S. (2020). The impact of automation on tourism and hospitality jobs. Information Technology & Tourism, 22, 205–215. https://doi.org/10.1007/s40558-020-00175-1 . · DOI
  26. Ivanov, S., & Webster, C. (2019). Robots, artificial intelligence and service automation in travel, tourism and hospitality. Bingley: Emerald Publishing. · DOI · Paper page
  27. Ivanov, S., Gretzel, U., Berezina, K., Sigala, M., & Webster, C. (2020). Progress on robotics in hospitality and tourism: A review of the literature. Journal of Hospitality and Tourism Technology, 10(4), 489–521. https://doi.org/10.1108/JHTT-08-2018-0087 . · DOI · Paper page
  28. Jayawardena, C. (2019). That are the key innovative strategies needed for future tourism in the world? Worldwide Hospitality and Tourism Themes, 11(2), 235–247. · doi:10.1108/whatt-01-2019-0001
  29. Jukic, B., Jukic, N., Velasco, M. (2009). Enterprise informtion systems change, adaption and adoption: A qualitative study and conceptualization framework. Information Resources Management Journal 22(1), 63-87. · DOI
  30. Khan, M. S., Woo, M., Nam, K., & Chathoth, P. K. (2017). Smart city and smart tourism: A case of Dubai. Sustainability, 9(12), 2279. · DOI · Paper page
  31. Koo, C., Park, J., & Lee, J. N. (2017). Smart tourism: Traveller, business, and organizational perspectives. Information and Management, 54, 683–686. · DOI
  32. Lee, J., & Park, H. (2014). Exploring the impact of empowering leadership on knowledge sharing, absorptive capacity and team performance in IT service. Information Technology and People, 27(3), 366–390. https://doi.org/10.1108/ITP-10-2012-0115 . · DOI
  33. Lee, C. P., & Shim, J. P. (2007). An exploratory study of radio frequency identification adoption in the healthcare industry. European Journal of Information Systems, 16(6), 712–724. https://doi.org/10.1057/palgrave.ejis.3000716 . · DOI · Paper page
  34. Leung, R. (2019). Smart hospitality: Taiwan hotel stakeholder perspective. Tourism Review, 74(1), 50–62. · DOI · Paper page
  35. Li, J., Bonn, M. A., & Ye, B. H. (2019). Hotel employee’s artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Tourism Management, 73, 172–181. · DOI · Paper page
  36. MacLennan, E., & Van Belle, J. (2014). Factors affecting the organizational adoption of service-oriented architecture (SOA). Information Systems and e-Business Management, 12, 71–100. · DOI
  37. Miles, M. B., & Huberman, A. M. (1984). Qualitative data analysis: A sourcebook of new methods. Newbury Park: Sage Publications.
  38. Murphy, J., Hofaker, C., & and& Gretzel U. (2017). Dawning of the age of robots in hospitality and tourism: Challenges for teaching and research. European Journal of Tourism Research, 15, 104–111. · DOI · Paper page
  39. Murphy, J., Gretzel, U., & Pesonen, J. (2019). Marketing robot services in hospitality and tourism: The role of anthropomorphism. Journal of Travel & Tourism Marketing, 36(7), 784–795. · DOI · Paper page
  40. Myers, M. D. (2013). Qualitative research in business & management (2nd ed.). London: Sage Publications.
  41. Neuhofer, B., Buhais, D., & Ladkin, A. (2015). Smart technologies for personalized experiences: A case study in the hospitality domain. Electronic Markets, 25(3), 243–254. https://doi.org/10.1007/s12525-015-0182-1 . · DOI · Paper page
  42. Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information and Management, 51, 497–510. · DOI · Paper page
  43. Patton, M. Q. (2002). Qualitative evaluation and research methods (2nd ed.). Thousand Oaks: Sage.
  44. Prentice, C., Lopes, S. D., & Wang, X. (2020). Emotional intelligence or artificial intelligence – an employee perspective. Journal of Hospitality Marketing and Management, 29(4), 377–403. https://doi.org/10.1080/19368623.2019.1647124 . · DOI · Paper page
  45. Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: The Free Press.
  46. Singer, R. (2016). Robots and artificial intelligence in the hotel industry. ITB Berlin confernece proceedings, Berlin, Germany, March 9th - March 13th, 2016.
  47. Teo, T. S. H., Tan, M., and Buk, W. K. (1997/1998). A contingency model of internet adoption in Singapore. International Journal of Electronic Commerce, Winter, 2(2), 95–118. · DOI · Paper page
  48. Tornatzky, L. G., & Fleischer, M. (1990). The process of technological innovation. Lexington: Lexington Books.
  49. Tung, V. W. S., & Au, N. (2017). Exploring customers experiences with robotics in hospitality. International Journal of Contemporary Hospitality Management, 29(10), 2680–2697. · DOI · Paper page
  50. Tung, V. W. S., & Law, R. (2017). The potential for tourism and hospitality experience research in human-robot interaction. International Journal of Contemporary Hospitality Management, 29(10), 2498–2513. https://doi.org/10.1108/IJCHM-09-2016-0520 . · DOI · Paper page
  51. Tuomi, A., Tussyadiah, I., & Stienmetz, J. (2019). Service robots and the changing roles of employees in restaurants: A cross cultural study. e-Review of Tourism Research, 17(5), 662–673.
  52. Tuomi, A., Tussyadiah, L.P, & Stienmetz, J. (2020). Applications and implications of service robots in hospitality. Cornell Hospitality Quarterly, 1–16. Doi: https://doi.org/10.1177/1938965520923961 . · DOI · Paper page
  53. Tussyadiah, I. (2020). A review of research into automation in tourism: Launching the annals of tourism research curated collection on artificial intelligence and robotics in tourism. Annals of Tourism Research, 81, 102883. · DOI · Paper page
  54. Vogt, W. P. (1999). Dictionary of statistics and methodology: A nontechnical guide for the social sciences. London: Sage.
  55. Webster, C., & Ivanov, S. (2019). Future tourism in a robot-based economy: A perspective article. Tourism Review, 75(1), 329–332. https://doi.org/10.1108/tr-05-2019-0172 . · DOI
  56. van de Weerd, I., Mangula, I. S., & Brinkkemper, S. (2016). Adoption of software as a service in Indonesia: Examining the influence of organization factors. Information and Management, 53, 915–928. https://doi.org/10.1016/j.im.2016.05.008 . · DOI
  57. Wilson H. J., and Daugherty, P. R. (2018). Collaborative intelligence: Human and AIs are joining forces. Harvard Business Review, Jul–Aug, 114–123.
  58. Yang, L., Henthorne, T. L., and George, B. (2020). Artificial intelligence and robotics technology in the hospitality industry: Current applications and future trends. Digital transformation in business and society: Theory and cases. Switzerland: Palgrave Macmillan, 211–228. · DOI
  59. Yu, C., & Boyo Ngan, H. F. (2019). The power of head tilts: Gender and cultural differences of perceived human vs human-like robot smile in service. Tourism Review, 74(3), 428–442. https://doi.org/10.1108/tr-07-2018-0097 . · DOI
  60. Zahra, S. A., & George, G. (2002). Absorptive capacity: A review, reconceptualization and extension. Academy of Management Review, 27(2), 185–203. https://doi.org/10.5465/amr.2002.6587995 . · doi:10.5465/amr.2002.6587995 · Paper page
  61. Zlatanov, S., and Popesku, J. (2019). Current applications of artificial intelligence in tourism and hospitality. Conference Proceedings of Sinteza, the International scientific conference on information technology and data related research, Belgrade, Serbia, April 20th, 2019, 84–90. · DOI

Cited by

See all 387

Metadata

Authors
Nam, K., Dutt, C. S., Chathoth, P., Daghfous, A., & Khan, M. S.
Venue
Electronic Markets
Published
2020-10-14
Volume
31
Issue
3
Pages
553-574
ISSN
  • 1019-6781 (ISSN-L)
  • 1422-8890
OpenAlex
W3092938312
Cited by
387
References
9
FWCI
10.13
Type
journal article
Language
en
Open access
closed
Licence
Funders
American University of Sharjah (FRG19-S-B90)

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: The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges. https://app.cochat.ai/papers/10.1007/s12525-020-00442-3
The paper
Nam, K., Dutt, C. S., Chathoth, P., Daghfous, A., & Khan, M. S. (2021). The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges. Electronic Markets. https://doi.org/10.1007/s12525-020-00442-3

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.