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The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges
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Building Theories from Case Study Research
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.2307/258557 · Cited by 17,455
Toward a knowledge-based theory of the firm
Grant, R. M. (1996) · Strategic Management Journal · doi:10.1002/smj.4250171110 · Cited by 16,157
Knowledge of the firm, combinative capabilities, and the replication of technology
Kogut, B., & Zander, U. (1992) · Organization Science · doi:10.1287/orsc.3.3.383 · Cited by 12,939 · cited 1×
“Hence, future research should explore the adoption of AI and robotics in hotels from a knowledge-based view (Grant, 1996; Kogut and Zander, 1992; Lee and Park, 2014) by taking into consideration the role of the decision makers ’ absorptive capacity.”
BackgroundArtificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978
Understanding and Validity in Qualitative Research
Maxwell, J. (1992) · Harvard Educational Review · doi:10.17763/haer.62.3.8323320856251826 · Cited by 2,951 · cited 1×
“A high-quality interview transcript was defined as a complete and accurate reflection of the verbal and written communication between the interviewer and the inter-viewees (Maxwell, 1992).”
BackgroundSmart tourism: foundations and developments
Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015) · Electronic Markets · doi:10.1007/s12525-015-0196-8 · Cited by 2,589
Consumers acceptance of artificially intelligent (AI) device use in service delivery
Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.008 · Cited by 1,437
The Technology–Organization–Environment Framework
Baker, J. (2012) · Integrated Series in Information Systems · doi:10.1007/978-1-4419-6108-2_12 · Cited by 1,275
Engaged to a Robot? The Role of AI in Service
Huang, M.-H., & Rust, R. T. (2021) · Journal of Service Research · doi:10.1177/1094670520902266 · Cited by 1,185
Research works printed but not linked: 61
- 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.
- 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
- Bernard, H. R. (2002). Research methods in anthropology: Qualitative and quantitative methods (3rd ed.). Walnut Creek: AltaMira Press.
- Bowen, J., & Morosan, C. (2018). Beware hospitality industry: The robots are coming. Worldwide Hospitality and Tourism Themes, 10(6), 726–733. · DOI · Paper page
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world: Don’t start with moon shots. Harvard Business Review, 96, 108–116.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Gummerson, E. (2008). Case studies. In R. Thorpe & R. Holt (Eds.), The Sage dictionary of qualitative management research. London: Sage.
- 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/
- 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
- 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
- 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
- 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
- Ivanov, S., & Webster, C. (2019). Robots, artificial intelligence and service automation in travel, tourism and hospitality. Bingley: Emerald Publishing. · DOI · Paper page
- 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
- 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
- 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
- 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
- Koo, C., Park, J., & Lee, J. N. (2017). Smart tourism: Traveller, business, and organizational perspectives. Information and Management, 54, 683–686. · DOI
- 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
- 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
- Leung, R. (2019). Smart hospitality: Taiwan hotel stakeholder perspective. Tourism Review, 74(1), 50–62. · DOI · Paper page
- 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
- 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
- Miles, M. B., & Huberman, A. M. (1984). Qualitative data analysis: A sourcebook of new methods. Newbury Park: Sage Publications.
- 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
- 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
- Myers, M. D. (2013). Qualitative research in business & management (2nd ed.). London: Sage Publications.
- 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
- 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
- Patton, M. Q. (2002). Qualitative evaluation and research methods (2nd ed.). Thousand Oaks: Sage.
- 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
- Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: The Free Press.
- Singer, R. (2016). Robots and artificial intelligence in the hotel industry. ITB Berlin confernece proceedings, Berlin, Germany, March 9th - March 13th, 2016.
- 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
- Tornatzky, L. G., & Fleischer, M. (1990). The process of technological innovation. Lexington: Lexington Books.
- 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
- 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
- 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.
- 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
- 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
- Vogt, W. P. (1999). Dictionary of statistics and methodology: A nontechnical guide for the social sciences. London: Sage.
- 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
- 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
- Wilson H. J., and Daugherty, P. R. (2018). Collaborative intelligence: Human and AIs are joining forces. Harvard Business Review, Jul–Aug, 114–123.
- 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
- 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
- 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
- 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
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“…Davis 2003), and the TOE framework (Tornatzky, Fleischer, and Chakrabarti 1990) – all used to explain different kinds of technology adoption (see e.g. Oliveira and Martins 2011; Ma 2014; Mergel and Bretschneider 2013; Grimmelikhuijsen and Feeney 2017; Demlehner and Laumer 2020; Nam et al. 2020).”
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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
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- Funders
- American University of Sharjah (FRG19-S-B90)
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