Hotel managers’ perceptions towards the use of robots: A mixed-methods approach
Open accessAbstract
Adopting a supply-side perspective, the paper analyses Bulgarian hotel managers’ perceptions of service robots using a convergent mixed methods design. Structured quantitative data were collected from 79 managers using a questionnaire, while interviews were used for the collection of qualitative data from 20 managers. The findings indicate respondents feel that repetitive, dirty, dull, and dangerous tasks in hotels would be more appropriate for robots, while hotel managers would rather use employees for tasks that require social skills and emotional intelligence. The individual characteristics of respondents and the organisational characteristics of the hotels they currently worked in played little role in their perceptions of service robots. The managers considered that robots would decrease the quality of the service and were generally not ready to use robots. Additionally, the interviewees indicated that skilled and well-trained employees were more valuable and more adequate than robots for the hospitality and tourism industry. Theoretical and managerial implications are provided as well.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In a survey of 79 hotel managers, robots were concluded to have an advantage over human employees due to better data processing capabilities, work speed, protection of personal data, and fewer mistakes.
“Analysing questionnaires completed by 79 hotel managers, it was concluded that robots have an advantage over human employees due to better data processing capabilities, work speed, protection of personal data, and fewer mistakes.”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [8]
The main disadvantages of robots were listed as lack of capability to provide personalised service, inability to handle complaints, lack of friendliness and politeness, inability to implement a special request beyond their programming, and lack of understanding of emotions.
“The main disadvantages of robots were listed as: lack of capability to provide personalised service; inability to handle complaints; lack of friendliness and politeness; inability to implement a special request that goes beyond their programming; and the lack of understanding of emotions.”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [8]
In adaptive automation assembly systems for assembling industrial refrigerators, automated assembly process productivity could be increased by more than 79%.
“This study showed that automated assembly process productivity could be increased by more than 79%.”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [8]
The Introduction (Rationale) discusses the potential for service robots to increase productivity, but it distinguishes service robots from industrial automation. Neither that passage nor the searched passages on assembly and 79% report a productivity increase for assembling industrial refrigerators. Our copy does not address the claimed result. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Mixed Methods Research: A Research Paradigm Whose Time Has Come
Johnson, R. B., & Onwuegbuzie, A. J. (2004) · Educational Researcher · doi:10.3102/0013189x033007014 · Cited by 11,170 · see citing works
Artificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978 · see citing works
Developing and validating a service robot integration willingness scale
Lu, L., Cai, R., & Gursoy, D. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.01.005 · Cited by 1,013 · see citing works
Flagged first, then by citations
Research works printed but not linked: 50
- Berezina K Ciftci O Cobanoglu C Ivanov S Webster C Robots, artificial intelligence, and service automation in restaurants Robots, artificial intelligence, and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing Limited 185 219
- Bhimasta RA, Kuo PY (2019) What causes the adoption failure of service robots? A case of Henn-na Hotel in Japan. In: Adjunct proceedings of the 2019 ACM international joint conference on pervasive and ubiquitous computing and proceedings of the 2019 ACM international symposium on wearable computers, pp 1107–1112. https://dl.acm.org/doi/abs/10.1145/3341162.3350843 · DOI
- Choi Y Oh M Choi M Kim S Exploring the influence of culture on tourist experiences with robots in service delivery environment Curr Issues Tour 2020 10.1080/13683500.2020.1735318 · DOI
- Collier DA The service sector revolution: the automation of services Long Range Plan 1983 16 6 10 20 10264381
- Collins GR, Cobanoglu C, Bilgihan A, Berezina K (2017) Automation and robotics in the hospitality industry, Chapter 12. In: Hospitality information technology: learning how to use it, 8th edn. Kendall/Hunt Publishing Co., Dubuque, pp 413–449
- Creswell JW Educational research. planning, conducting, and evaluating quantitative and qualitative research 2012 4 Boston Pearson Education
- Farrell J Klemperer P Armstrong M Porter R Coordination and lock-in: competition with switching costs and network effects Handbook of industrial organization 2007 Amsterdam Elsevier 1967 2072
- Foster ME, Gaschler A, Giuliani M (2013) How can I help you? Comparing engagement classification strategies for a robot bartender. In: Proceedings of the 15th ACM on International conference on multimodal interaction. ACM, pp 255–262
- Gretzel U Murphy J Ivanov S Webster C Making sense of robots: consumer discourse on robots in tourism and hospitality service settings Robots, artificial intelligence, and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing Limited 93 104
- Huang MH Rust RT Engaged to a robot? The role of AI in service J Serv Res 2020 10.1177/1094670520902266 · DOI · Paper page
- Ivanov S The impact of automation on tourism and hospitality jobs Inf Technol Tour 2020 10.1007/s40558-020-00175-1 · DOI
- Ivanov S, Webster C (2017) Designing robot-friendly hospitality facilities. In: Proceedings of the scientific conference “tourism, innovations, strategies”, 13–14 October 2017, Bourgas, pp 74–81
- Ivanov S Webster C In Marinov V Vodenska M Assenova M Dogramadjieva E Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies—a cost–benefit analysis Traditions and innovations in contemporary tourism 2018 Cambridge Cambridge Scholars Publishing 190 203
- Ivanov S, Webster C (2019a) What should robots do? A comparative analysis of industry professionals, educators and tourists. In: Pesonen J, Neidhardt J (eds) Information and communication technologies in tourism 2019, proceedings of the international conference in Nicosia, Cyprus, 30.01–01.02.2019, pp 249–262
- Ivanov S, and Webster C (2019b) Perceived appropriateness and intention to use service robots in tourism. In: Pesonen J, Neidhardt J (eds) Information and communication technologies in tourism 2019, proceedings of the international conference in Nicosia, Cyprus, 30.01–01.02.2019, pp 237–248
- Ivanov S Webster C Ivanov S Webster C Conceptual framework of the use of robots, artificial intelligence and service automation in travel, tourism, and hospitality companies Robots, artificial intelligence and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing 7 37
- Ivanov S Webster C Ivanov S Webster C Economic fundamentals of the use of robots, artificial intelligence and service automation in travel, tourism and hospitality Robots, artificial intelligence and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing 39 55
- Ivanov S Webster C Robots in tourism: a research agenda for tourism economics Tour Econ 2019 10.1177/1354816619879583 · DOI
- Ivanov S Webster C Robots, artificial intelligence and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing
- Ivanov S Webster C Garenko A Young Russian adults’ attitudes towards the potential use of robots in hotels Technol Soc 2018 55 24 32 10.1016/j.techsoc.2018.06.004 · DOI
- Ivanov S Gretzel U Berezina K Sigala M Webster C Progress on robotics in hospitality and tourism: a review of the literature J Hosp Tour Technol 2019 10 4 489 521 10.1108/JHTT-08-2018-0087 · DOI
- Kazandzhieva V Filipova H Ivanov S Webster C Customer attitudes toward robots in travel, tourism, and hospitality: a conceptual framework Robots, artificial intelligence, and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing Limited 79 92
- Khoo-Lattimore C Mura P Yung R The time has come: a systematic literature review of mixed methods research in tourism Curr Issues Tour 2019 22 13 1531 1550
- Landis JR Koch GG The measurement of observer agreement for categorical data Biometrics 1977 33 1 159 174 10.2307/2529310 843571 · DOI · Paper page
- Larivière B Bowen D Andreassen TW Kunz W Sirianni NJ Voss C Wünderlich NV De Keyser A “Service Encounter 2.0”: an investigation into the roles of technology, employees and customers J Bus Res 2017 79 238 246 10.1016/j.jbusres.2017.03.008 · DOI · Paper page
- Lu VN Wirtz J Kunz WH Paluch S Gruber T Martins A Patterson PG Service robots, customers and service employees: what can we learn from the academic literature and where are the gaps? J Serv Theory Pract 2020 10.1108/JSTP-04-2019-0088 · DOI
- Lukanova G Ilieva G Ivanov S Webster C Robots, artificial intelligence, and service automation in hotels Robots, artificial intelligence, and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing Limited 157 183
- Miles BM Huberman AM Qualitative data analysis 1994 2 Thousand Oaks Sage Publications
- Miller MR Miller R Robots and robotics: principles, systems, and industrial applications 2017 New York McGraw-Hill Education
- Naumov N Ivanov S Webster C The impact of robots, artificial intelligence, and service automation on service quality and service experience in hospitality Robots, artificial intelligence and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing 123 133
- Nørskov M Social robots: boundaries, potential, challenges 2016 London Routledge
- Ogle A Lamb D Ivanov S Webster C The role of robots, artificial intelligence, and service automation in events Robots, artificial intelligence, and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing Limited 255 269
- Osawa H, Ema A, Hattori H, Akiya N, Kanzaki N, Kubo A, Koyama T, Ichise R (2017) Analysis of robot hotel: reconstruction of works with robots. In: 2017 26th IEEE international symposium on robot and human interactive communication (RO-MAN). IEEE, pp 219–223
- Quan W, Kubota N (2017) Evolutionary people tracking for robot partner of information service in public areas. In: International conference on intelligent robotics and applications. Springer, Cham, pp 703–714
- Rosete A, Soares B, Salvadorinho J, Reis J, Amorim M (2020) Service robots in the hospitality industry: an exploratory literature review. In: International conference on exploring services science. Springer, Cham, pp 174–186
- Seyitoğlu F, Ivanov S (2020) Service robots as a tool for physical distancing in tourism. Curr Issues Tour (in press)
- Stock RM, Merkle M (2017) A service robot acceptance model: user acceptance of humanoid robots during service encounters. In: Proceedings of the 2017 IEEE international conference on pervasive computing and communications workshops (PerCom workshops), 13–17 March 2017, Kona. 10.1109/percomw.2017.7917585 · DOI
- Tasci D Semrad J Developing a scale of hospitableness: a tale of two worlds Int J Hosp Manag 2016 53 30 41 10.1016/j.ijhm.2015.11.006 · DOI
- Tung V Au N Exploring customer experiences with robotics in hospitality Int J Contemp Hosp Manag 2018 30 7 2680 2697 10.1108/IJCHM-06-2017-0322 · DOI
- Tuomi A Tussyadiah IP Stienmetz J Applications and implications of service robots in hospitality Cornell Hosp Q 2020 10.1177/1938965520923961 · DOI
- Tussyadiah I A review of research into automation in tourism: launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism Ann Tour Res 2020 81 102883
- Tussyadiah IP Park S Stangl B Pesonen J Consumer evaluation of hotel service robots Information and communication technologies in tourism 2018 2018 Cham Springer 308 320
- Tussyadiah IP, Zach FK, Wang J (2017) Attitudes toward autonomous on demand mobility system: the case of self-driving taxi. In: Schegg R, Strangl B (eds) Information and communication technologies in tourism 2017. Proceedings of the international conference in Rome, January 24–26, 2017. Springer, Cham, pp 755–766
- Virto N López M Ivanov S Webster C Robots, artificial intelligence, and service automation to the core: remastering experiences at museums Robots, artificial intelligence, and service automation in travel, tourism and hospitality 2019 Bingley Emerald Publishing Limited 239 253
- Webster C Ivanov S Demographic change as a driver for tourism automation J Tour Futures 2020 10.1108/JTF-10-2019-0109 · DOI
- Wirtz J Organizational ambidexterity: cost-effective service excellence, service robots, and artificial intelligence Organ Dyn 2019 10.1016/j.orgdyn.2019.04.005 · DOI
- Yu CE (2018) Humanlike robot and human staff in service: age and gender differences in perceiving smiling behaviors. In: Proceedings of the 7th international conference on industrial technology and management (ICITM). IEEE, pp 99–103
- Zeng Z, Chen PJ, Lew AA (2020) From high-touch to high-tech: COVID-19 drives robotics adoption. Tour Geogr (in press)
- Zhong L Sun S Law R Zhang X Impact of robot hotel service on consumers’ purchase intention: a control experiment Asia Pac J Tour Res 2020 10.1080/10941665.2020.1726421 · DOI
- Zhu DH Chang YP Robot with humanoid hands cooks food better? Effect of robotic chef anthropomorphism on food quality prediction Int J Contemp Hosp Manag 2020 10.1108/IJCHM-10-2019-0904 · DOI
Cited by
Sorted by citations
Advanced Applications of Industrial Robotics: New Trends and Possibilities
Dzedzickis, A., Subačiūtė-Žemaitienė, J., Šutinys, E., Samukaitė-Bubnienė, U., & Bučinskas, V. (2021) · Applied Sciences · doi:10.3390/app12010135 · Cited by 228 · see citing works
- Authors
- Ivanov, S., Seyitoğlu, F., & Markova, M.
- Affiliations
- Varna University of Management (BG)
- Mardin Artuklu University (TR)
- Corresponding author
- Ivanov, Stanislav
- Seyitoğlu, Faruk
- Markova, Martina
- Venue
- Information Technology & Tourism
- Published
- 2020-09-12
- Volume
- 22
- Issue
- 4
- Pages
- 505-535
- ISSN
- 1098-3058 (ISSN-L)
- 1943-4294
- PMC
- PMC7486590
- OpenAlex
- W3086839851
- Cited by
- 243
- References
- 4
- Citations by year
- 2026: 34 · 2025: 35 · 2024: 45 · 2023: 52 · 2022: 50 · 2021: 24 · 2020: 3
- FWCI
- 12.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Information Technology & Tourism (publishedVersion)
- PubMed Central (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- SocArXiv (OSF Preprints) (submittedVersion)
- SocArXiv (OSF Preprints) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Robotic Process Automation Applications
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Keywords
- service robots, hotel managers, hospitality industry, tourism industry, service quality, employee skills, emotional intelligence
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