Restoranlar için İnsansı Robotların Kabulünde Kuşaklar Arası Farklılığın Düzenleyici Rolü: Sosyalleşme ve Yenilikçilik ile BTKKT Modeline Yönelik Bir Genişletme Çalışması
Bu araştırmanın amacı, birleştirilmiş teknoloji kabul ve kullanım teorisi’ni [BTKKT (UTAUT)] insansı robot bağlamında ve restoran özelinde doğrulamak ile birlikte turistik sosyalleşme ve turistik yenilikçilik değişkenleri aracılığıyla teoriye katkıda bulunmaktır. Bu kapsamda, restoran deneyimi olan 363 katılımcıdan elde edilen veriler, yapısal eşitlik modellemesine tabi tutulmuştur. Araştırma sonucunda, BTKKT modeline dair yordayıcı değişkenler olan performans beklentisi, çaba beklentisi, sosyal etki ve kolaylaştırıcı koşullar değişkenlerinin tamamının restoranlarda insansı robotları deneyimlemeye yönelik davranışsal niyeti pozitif ve anlamlı yönde etkilediği tespit edilmiştir. Bunlar içerisinde, kolaylaştırıcı koşulların en güçlü etki düzeyine sahip olan değişken olarak ön plana çıktığı görülmüştür. Performans beklentisi ve sosyal etki, davranışsal niyeti açıklayan diğer en güçlü iki öncül değişken olarak ortaya çıkmıştır. Bununla birlikte, yenilikçiliğin davranışsal niyeti pozitif yönde etkilediği görülmüş, sosyalleşme değişkeninin ise herhangi bir etkiye sahip olmadığı görülmüştür. Yine, sosyal etki, X kuşağı için en güçlü açıklayıcı olarak tespit edilmiştir. Düzenleyici değişken olarak, Y-Z kuşağındaki katılımcıların, insansı robotları benimsemede kullanım kolaylığına X kuşağına kıyasla daha fazla ehemmiyet gösterdikleri görülmüştür.
Aharony, N. (2015). Why do students use What’s App? – an exploratory study. Aslib Journal of Information Management, 67(2), 136–158. doi:10.1108/AJIM-11-2014-0148/FULL/PDF
Akdim, K., Belanche, D. ve Flavián, M. (2021). Attitudes toward service robots: analyses of explicit and implicit attitudes based on anthropomorphism and construal level theory. International Journal of Contemporary Hospitality Management. doi:10.1108/IJCHM-12-2020-1406
Aslantürk, E. ve Erdem, A. (2021). Teknoloji Kullanımına Yönelik Tutumun Otellerde Robot Kabul Edilebilirliği Üzerine Etkisi. Journal of Global Tourism and Technology Research, 2(2), 102–115.
Asoba, S. N. ve Mefi, N. P. (2022). The Generational Dimensıon of Technology Acceptance: The Case of Generatıon X and Millennial Managers. Journal of Management Information and Decision Sciences, 25(4), 1–7.
Balcı, A. (2011). Sosyal Bilimlerde Araştırma: Yöntem, Teknik ve İlkeler (9th bs.). Ankara: Pegem.
Belanche, D., Casaló, L. V. ve Flavián, C. (2020). Frontline robots in tourism and hospitality: service enhancement or cost reduction? Electronic Markets, 1–16. doi:10.1007/S12525-020-00432-5
Brown, M. A. (1984). Change mechanisms in the diffusion of residential energy conservation practices: an empirical study. Technological Forecasting and Social Change, 25(2), 123–138. doi:10.1016/0040-1625(84)90087-8
Buhalis, D. ve Leung, R. (2018). Smart hospitality—Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 71, 41–50. doi:10.1016/J.IJHM.2017.11.011
Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö. E., Karadeniz, Ş. ve Demirel, F. (2013). Bilimsel Araştırma Yöntemleri (15.). Ankara: Pegem.
Byrd, K., Fan, A., Her, E. S., Liu, Y., Almanza, B. ve Leitch, S. (2021). Robot vs human: expectations, performances and gaps in off-premise restaurant service modes. International Journal of Contemporary Hospitality Management. doi:10.1108/IJCHM-07-2020-0721
Cai, W., Richter, S. ve McKenna, B. (2019). Progress on technology use in tourism. Journal of Hospitality and Tourism Technology, 10(4), 651–672. doi:10.1108/JHTT-07-2018-0068
Çakır, İ. ve Kazançoğlu, İ. (2020). Sanal Market Alışverişi Yapma Niyetinde Genişletilmiş Teknoloji Kabul Modeli Bileşenleri ile Risk Algılarının Etkisi. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 18(2), 305–326.
Calvo-Porral, C. ve Pesqueira-Sanchez, R. (2020). Generational differences in technology behaviour: comparing millennials and Generation X. Kybernetes, 49(11), 2755–2772. doi:10.1108/K-09-2019-0598/FULL/PDF
Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., Bywaters, D. ve Walker, K. (2020). Purposive sampling: complex or simple? Research case examples: Journal of Research in Nursing, 25(8), 652–661. doi:10.1177/1744987120927206
Cha, S. S. (2020). Customers’ intention to use robot-serviced restaurants in Korea: relationship of coolness and MCI factors. International Journal of Contemporary Hospitality Management, 32(9), 2947–2968. doi:10.1108/IJCHM-01-2020-0046
Choi, Y., Choi, M., Oh, M. (Moon) ve Kim, S. (Sam). (2019). Service robots in hotels: understanding the service quality perceptions of human-robot interaction. Journal of Hospitality Marketing & Management, 29(6), 613–635. doi:10.1080/19368623.2020.1703871
Christou, P., Simillidou, A. ve Stylianou, M. C. (2020). Tourists’ perceptions regarding the use of anthropomorphic robots in tourism and hospitality. International Journal of Contemporary Hospitality Management, 32(11), 3665–3683. doi:10.1108/IJCHM-05-2020-0423
Cohen, E. (1972). Toward a sociology of international tourism. Social Research, 164–182. https://www.jstor.org/stable/pdf/40970087.pdf adresinden erişildi.
Compeau, D. R. ve Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly: Management Information Systems, 19(2), 189–210. doi:10.2307/249688
Dai, B., Larnyo, E., Tetteh, E. A., Aboagye, A. K. ve Musah, A.-A. I. (2019). Factors Affecting Caregivers’ Acceptance of the Use of Wearable Devices by Patients With Dementia: An Extension of the Unified Theory of Acceptance and Use of Technology Model: American Journal of Alzheimer’s Disease and Other Dementias, 35, 1–11. doi:10.1177/1533317519883493
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies. doi:10.1006/imms.1993.1022
Durna, E. C. ve Taşçıoğlu-Baysal, H. (2021). Ziyaretçilerin Otel İşletmelerine Yönelik Yorum ve Şikayetlerinin İncelenmesi: Dünyanın İlk Robotik Oteli Olan “Henn na Otel” Örneği. Turizm ve İşletme Bilimleri Dergisi, 1(2), 85–102.
Escobar-Rodríguez, T. ve Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70–88. doi:10.1016/J.TOURMAN.2014.01.017
Fabrigar, L. R. ve Wegener, D. T. (2012). Exploratory Factor Analysis: Understanding Statistics. New York: Oxford University Press.
Fakfare, P., Talawanich, S. ve Wattanacharoensil, W. (2020). A scale development and validation on domestic tourists’ motivation: the case of second-tier tourism destinations. https://doi.org/10.1080/10941665.2020.1745855, 25(5), 489–504. doi:10.1080/10941665.2020.1745855
Fan, W., Liu, J., Zhu, S. ve Pardalos, P. M. (2020). Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS). Annals of Operations Research, 294(1–2), 567–592. doi:10.1007/S10479-018-2818-Y/FIGURES/3
Faul, F., Erdfelder, E., Lang, A.-G. ve Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. doi:10.3758/BF03193146
Fernández-Llamas, C., Conde, M. A., Rodríguez-Lera, F. J., Rodríguez-Sedano, F. J. ve García, F. (2018). May I teach you? Students’ behavior when lectured by robotic vs. human teachers. Computers in Human Behavior, 80, 460–469. doi:10.1016/J.CHB.2017.09.028
Fornell, C. ve Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. doi:10.2307/3151312
Foxall, G. R., Goldsmith, R. E. ve Brown, S. (1998). Consumer Psychology for Marketing. Cengage Learning EMEA, 1.
Fuentes-Moraleda, L., Díaz-Pérez, P., Orea-Giner, A., Muñoz- Mazón, A. ve Villacé-Molinero, T. (2020). Interaction between hotel service robots and humans: A hotel-specific Service Robot Acceptance Model (sRAM). Tourism Management Perspectives, 36, 100751. doi:10.1016/J.TMP.2020.100751
Ghazali, A. S., Ham, J., Barakova, E. ve Markopoulos, P. (2020). Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots. International Journal of Social Robotics, 12, 1075–1092.
Go, H., Kang, M. ve Suh, S. B. C. (2020). Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge. Tourism Review, 75(4), 625–636. doi:10.1108/TR-02-2019-0062
Hair, F. H., Black, W. C., Babin, B. J. ve Anderson, R. E. (2019). Multivariate Data Analysis (Eighth Edi.). Andover: Cengage.
Hair, J. (2009). Multivariate Data Analysis: A Global Perspective. Faculty Publications (7. bs.). Prentice Hall. https://digitalcommons.kennesaw.edu/facpubs/2925 adresinden erişildi.
Hair, J. F., Sarstedt, M., Ringle, C. M. ve Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling. California: Sage Publications.
Hair, J., Howard, M. C. ve Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. doi:10.1016/j.jbusres.2019.11.069
Hair, J., Hult, G. T. M., Ringle, C. M. ve Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2. bs.). Los Angeles: Sage.
Hair, J., Risher, J. J., Sarstedt, M. ve Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. doi:10.1108/EBR-11-2018-0203
Henseler, J., Ringle, C. M. ve Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. doi:10.1007/s11747-014-0403-8
Hsu, C. L. ve Lin, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65–74. doi:10.1016/J.IM.2007.11.001
Hui-Wen Chuah, S., Cheng-Xi Aw, E. ve Cheng, C.-F. (2021). A silver lining in the COVID-19 cloud: examining customers’ value perceptions, willingness to use and pay more for robotic restaurants. Journal of Hospitality Marketing & Management. doi:10.1080/19368623.2021.1926038
Hwang, J., Kim, J. J. ve Lee, K. W. (2021). Investigating consumer innovativeness in the context of drone food delivery services: Its impact on attitude and behavioral intentions. Technological Forecasting and Social Change, 163, 120433. doi:10.1016/J.TECHFORE.2020.120433
Hwang, J., Park, S. ve Kim, I. (2020). Understanding motivated consumer innovativeness in the context of a robotic restaurant: The moderating role of product knowledge. Journal of Hospitality and Tourism Management, 44, 272–282. doi:10.1016/J.JHTM.2020.06.003
İbiş, S. (2019). Turizm Endüstrisinde Robotlaşma. Türk Turizm Araştırmaları Dergisi, 3(3), 403–420.
Im, I., Hong, S. ve Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information & Management, 48(1), 1–8. doi:10.1016/J.IM.2010.09.001
Ivanov, S. ve Webster, C. (2019). Perceived appropriateness and intention to use service robots in tourism. In
Pesonen, J. & Neidhardt, J. (Ed.) Information and Communication Technologies in Tourism 2019, Proceedings of the International Conference içerisinde, Nicosia, Cyprus, 30.01-01.02.2019, sf. 237-248.
Jeon, H. M., Sung, H. J. ve Kim, H. Y. (2020). Customers’ acceptance intention of self-service technology of restaurant industry: expanding UTAUT with perceived risk and innovativeness. Service Business, 14(4), 533–551. doi:10.1007/S11628-020-00425-6/TABLES/4
Kaba, B. ve Touré, B. (2014). Understanding information and communication technology behavioral intention to use: Applying the UTAUT model to social networking site adoption by young people in a least developed country. Journal of the Association for Information Science and Technology, 65(8), 1662–1674. doi:10.1002/ASI.23069
Kağıtçıbaşı, C. (1983). Women and development in Turkey. International Journal of Turkish Studies, 2, 59–70.
Kamboj, S. ve Joshi, R. (2020). Examining the factors influencing smartphone apps use at tourism destinations: a UTAUT model perspective. International Journal of Tourism Cities, 7(1), 135–157. doi:10.1108/IJTC-05-2020-0094
Khalilzadeh, J., Ozturk, A. B. ve Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460–474. doi:10.1016/J.CHB.2017.01.001
Khechine, H., Lakhal, S., Pascot, D. ve Bytha, A. (2014). UTAUT Model for Blended Learning: The Role of Gender and Age in the Intention to Use Webinars. Interdisciplinary Journal of E-Learning and Learning Objects, 10, 33–52.
Kim, D. Y., Park, J. ve Morrison, A. M. (2008). A model of traveller acceptance of mobile technology. International Journal of Tourism Research, 10(5), 393–407. doi:10.1002/jtr.669
Kim, D. Y. ve Park, S. (2019). Rethinking millennials: how are they shaping the tourism industry? Asia Pacific Journal of Tourism Research, 25(1), 1–2. doi:10.1080/10941665.2019.1667607
Kim, J. J., Choe, J. Y. (Jacey) ve Hwang, J. (2020). Application of consumer innovativeness to the context of robotic restaurants. International Journal of Contemporary Hospitality Management, 33(1), 224–242. doi:10.1108/IJCHM-06-2020-0602
Kim, M. J. ve Hall, C. M. (2020). What drives visitor economy crowdfunding? The effect of digital storytelling on unified theory of acceptance and use of technology. Tourism Management Perspectives, 34, 100638. doi:10.1016/J.TMP.2020.100638
Kim, S., Kim, J., Badu-Baiden, F., Giroux, M. ve Choi, Y. (2021). Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic. International Journal of Hospitality Management, 93, 102807. doi:10.1016/J.IJHM.2020.102795
Kizir, E. ve Bozbay, Z. (2021). Moda Ürünleri Satan Mobil Alışveriş Uygulamalarının Kabulünün Birleştirilmiş Teknoloji Kabul ve Kullanım Teorisi Çerçevesinde İncelenmesi. Marmara Üniversitesi Öneri Dergisi, 16(55), 286–310.
Lian, J. W. ve Yen, D. C. (2014). Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior, 37, 133–143. doi:10.1016/J.CHB.2014.04.028
Lu, L., Cai, R. ve Gursoy, D. (2019). Developing and validating a service robot integration willingness scale. International Journal of Hospitality Management, 80, 36–51. doi:10.1016/J.IJHM.2019.01.005
Magsamen-Conrad, K., Upadhyaya, S., Joa, C. Y. ve Dowd, J. (2015). Bridging the divide: Using UTAUT to predict multigenerational tablet adoption practices. Computers in Human Behavior, 50, 186–196. doi:10.1016/J.CHB.2015.03.032
Mang, C. F., Piper, L. A. ve Brown, N. R. (2016). The Incidence of Smartphone Usage among Tourists. International Journal of Tourism Research, 18(6), 591–601. doi:10.1002/JTR.2076
Mo, C. min, Howard, D. R. ve Havitz, M. E. (1993). Testing an international tourist role typology. Annals of Tourism Research, 20(2), 319–335. doi:10.1016/0160-7383(93)90058-B
Neuhofer, B., Buhalis, D. ve Ladkin, A. (2014). A Typology of Technology-Enhanced Tourism Experiences. International Journal of Tourism Research, 16(4), 340–350. doi:10.1002/JTR.1958
Nüfusu. (2022). Ankara Nüfusu 2021 2022. 4 Haziran 2022 tarihinde https://www.nufusu.com/il/ankara-nufusu adresinden erişildi.
Özekici, Y. K. (2019). Yerli Halk-Turist Etkileşimi ve Bir Model Önerisi. Gazi University.
Özgürel, G. ve Kılınç-Şahin, S. (2021). Turizmde Robotlaşma: Yiyecek-İçecek Sektöründe Robot Şefler ve Robot Garsonlar. OPUS, 11(8), 1849–1882. doi:10.26466/opus.899296
Palos-Sanchez, P., Jose, ·, Saura, R., Correia, M. B., Saura, J. R. ve Pt, M. (2021). Do tourism applications’ quality and user experience influence its acceptance by tourists? Review of Managerial Science, 15, 1205–1241. doi:10.1007/s11846-020-00396-y
Pan, S. ve Jordan-Marsh, M. (2010). Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective. Computers in Human Behavior, 26(5), 1111–1119. doi:10.1016/J.CHB.2010.03.015
Parasuraman, A. (2000). Technology Readiness Index (Tri): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320.
Park, C. (2004). Efficient or enjoyable? Consumer values of eating-out and fast food restaurant consumption in Korea. International Journal of Hospitality Management, 23(1), 87–94. doi:10.1016/J.IJHM.2003.08.001
Park, S. ve Stangl, B. (2020). Augmented reality experiences and sensation seeking. Tourism Management, 77(October 2019), 104023. doi:10.1016/j.tourman.2019.104023
Pourfakhimi, S., Duncan, T. ve Coetzee, W. (2019). A critique of the progress of eTourism technology acceptance research: time for a hike? Journal of Hospitality and Tourism Technology, 10(4), 689–746.
Rahman, M. M., Lesch, M. F., Horrey, W. J. ve Strawderman, L. (2017). Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems. Accident Analysis & Prevention, 108, 361–373.
Ramadan, Z. B., Farah, M. F. ve Mrad, M. (2017). An adapted TPB approach to consumers’ acceptance of service-delivery drones. Technology Analysis and Strategic Management, 29(7), 817–828. doi:10.1080/09537325.2016.1242720
Revfine. (2020). 8 Examples of Robots Being Used in the Hospitality Industry. 16 Aralık 2021 tarihinde https://www.revfine.com/robots-hospitality-industry/ adresinden erişildi.
Ringle, C. M., Wende, S. ve Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, http://www. smartpls. com.
Robinson, L., Marshall, G. W. ve Stamps, M. B. (2005). Sales force use of technology: Antecedents to technology acceptance. Journal of Business Research, 58(12), 1623–1631. doi:10.1016/j.jbusres.2004.07.010
Ryan, T. ve Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in Human Behavior, 27(5), 1658–1664. doi:10.1016/j.chb.2011.02.004
San Martín, H. ve Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350. doi:10.1016/J.TOURMAN.2011.04.003
Seo, K. H. ve Lee, J. H. (2021). The Emergence of Service Robots at Restaurants: Integrating Trust, Perceived Risk, and Satisfaction. Sustainability, 13(8), 4431. doi:10.3390/SU13084431
Seyitoğlu, F., Ivanov, S., Atsız, O. ve Çifçi, İ. (2021). Robots as restaurant employees - A double-barrelled detective story. Technology in Society, 67, 101779. doi:10.1016/J.TECHSOC.2021.101779
Shin, H. H. ve Jeong, M. (2020). Guests’ perceptions of robot concierge and their adoption intentions. International Journal of Contemporary Hospitality Management, 32(8), 2613–2633. doi:10.1108/IJCHM-09-2019-0798
Siang, T. G., Ahmad, Z. B., Bin, K., Aziz, K. B. ve Suhaifi, S. B. (2019). Augmented reality mobile application for museum: A technology acceptance study. 6th International Conference on Research and Innovation in Information Systems (ICRIIS) içerisinde, Londra, 26-28.07.2019, sf. 1-6.
Sohn, K. ve Kwon, O. (2020). Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products. Telematics and Informatics, 47, 101324. doi:10.1016/J.TELE.2019.101324
Su, K. W., Tseng, H. H., Wu, A. T. ve Lien, C. Y. (2016). Exploring User Behavioral Intention of the Tourist Guiding System by Users' Perspective. Proceedings of the International MultiConference of Engineers and Computer Scientists (Sayı 1) içerisinde, Hong Kong, 16-18.03.2016, sf. 169-173.
Tan, G. W. H., Lee, V. H., Lin, B. ve Ooi, K. B. (2017). Mobile applications in tourism: The future of the tourism industry? Industrial Management and Data Systems, 117(3), 560–581. doi:10.1108/IMDS-12-2015-0490/FULL/PDF
Tan, G. W. H. ve Ooi, K. B. (2018). Gender and age: Do they really moderate mobile tourism shopping behavior? Telematics and Informatics, 35(6), 1617–1642. doi:10.1016/J.TELE.2018.04.009
Teng, C. C., Lu, A. C. C. ve Huang, T. T. (2018). Drivers of consumers’ behavioral intention toward green hotels. International Journal of Contemporary Hospitality Management, 30(2), 1134–1151. doi:10.1108/IJCHM-04-2017-0203
Tolbize, A. (2008). Generational differences in the workplace. Minnesota. http://dwashingtonllc.com/pdf/generational_differences_workplace.pdf adresinden erişildi.
Tull, M. T., Edmonds, K. A., Scamaldo, K. M., Richmond, J. R., Rose, J. P. ve Gratz, K. L. (2020). Psychological outcomes associated with stay-at-home orders and the perceived impact of COVID-19 on daily life. Psychiatry Research, 289(April), 113098. doi:10.1016/j.psychres.2020.113098
Tung, V. W. S. ve Au, N. (2018). Exploring customer experiences with robotics in hospitality. International Journal of Contemporary Hospitality Management, 30(7), 2680–2697. doi:10.1108/IJCHM-06-2017-0322/FULL/PDF
Tuomi, A., Tussyadiah, I. P. ve Stienmetz, J. (2020). Applications and Implications of Service Robots in Hospitality: Cornell Hospitality Quarterly, 62(2), 232–247. doi:10.1177/1938965520923961
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:10.1016/J.ANNALS.2020.102883
Usakli, A. ve Küçükergin, K. G. (2018). Using partial least squares structural equation modeling in hospitality and tourism: Do researchers follow practical guidelines? International Journal of Contemporary Hospitality Management, 30(11), 3462–3512. doi:10.1108/IJCHM-11-2017-0753
Venkatesh, V. (2021). Adoption and use of AI tools: a research agenda grounded in UTAUT. Annals of Operations Research, 1–12. doi:10.1007/S10479-020-03918-9/TABLES/1
Venkatesh, V., Morris, M. G., Davis, G. B. ve Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478.
Warde, A. ve Martens, L. (2000). Eating out: Social differentiation, consumption and pleasure. Cambridge: Cambridge University Press.
Xu, S., Stienmetz, J. ve Ashton, M. (2020). How will service robots redefine leadership in hotel management? A Delphi approach. International Journal of Contemporary Hospitality Management, 32(6), 2217–2237. doi:10.1108/IJCHM-05-2019-0505/FULL/PDF
Yazıcı-Ayyıldız, A. ve Eroğlu, E. (2021). Restoranlarda Kullanılan Akıllı Teknolojiler ve Robot Restoranlar Hakkında Tripadvisor’da Yapılan Yorumların Değerlendirilmesi. Journal of Tourism and Gastronomy Studies, 9(2), 1102–1122.
Yu, C.-E. (2019). Humanlike robots as employees in the hotel industry: Thematic content analysis of online reviews. Journal of Hospitality Marketing & Management, 29(1), 22–38. doi:10.1080/19368623.2019.1592733
Zaremohzzabieh, Z., Samah, B. A., Omar, S. Z., Bolong, J. ve Hayrol Azril, M. S. (2014). Fisherman’s acceptance of information and communication technology integration in Malaysia: exploring the moderating effect of age and experience. Journal of Applied Sciences, 14(9), 873–882.
Zemke, D. M. V., Tang, J., Raab, C. ve Kim, J. (2020). How To Build a Better Robot . . . for Quick-Service Restaurants: Journal of Hospitality & Tourism Research, 44(8), 1235–1269. doi:10.1177/1096348020946383
Zeng, Z., Chen, P.-J. J. ve Lew, A. A. (2020). From high-touch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies, 22(3), 724–734. doi:10.1080/14616688.2020.1762118
Zhong, L., Zhang, X., Rong, J., Chan, H. K., Xiao, J. ve Kong, H. (2020). Construction and empirical research on acceptance model of service robots applied in hotel industry. Industrial Management & Data Systems, 121(6), 1325–1352.
The Moderating Role of Generational Difference in Adoption of Anthropomorphic Robots for Restaurants: An Extension to the UTAUT model with Socialization and Innovativeness
The aim of this research is to confirm the unified technology acceptance and utilization theory (UTAUT) in the context of humanoid robot and restaurant, and to contribute to the theory through touristic socialization and touristic innovativeness variables. In this context, the data obtained from 363 participants with restaurant experience were subjected to structural equation modeling. As a result of the study, it was determined that performance expectancy, effort expectancy, social influence and facilitating conditions, which are the predictive variables of the UTAUT model, are seen to positively and significantly affect the behavioral intention to experience humanoid robots in restaurants. Among these, it was seen that facilitating conditions came to the fore as the variable with the strongest predictive power. Performance expectancy and social influence emerged as the other two strongest antecedents explaining behavioral intention. Besides, it was observed that tourist innovativeness positively affected behavioral intention, while the tourist socialization variable were seen to have any significant effect on behavioral intention. Also, social influence was determined as the most effective variable for X generation. As a moderating variable, it was seen that the participants within Y-Z generations give more importance to the facilitating conditions in adopting humanoid robots compared to the X generation.
Aharony, N. (2015). Why do students use What’s App? – an exploratory study. Aslib Journal of Information Management, 67(2), 136–158. doi:10.1108/AJIM-11-2014-0148/FULL/PDF
Akdim, K., Belanche, D. ve Flavián, M. (2021). Attitudes toward service robots: analyses of explicit and implicit attitudes based on anthropomorphism and construal level theory. International Journal of Contemporary Hospitality Management. doi:10.1108/IJCHM-12-2020-1406
Aslantürk, E. ve Erdem, A. (2021). Teknoloji Kullanımına Yönelik Tutumun Otellerde Robot Kabul Edilebilirliği Üzerine Etkisi. Journal of Global Tourism and Technology Research, 2(2), 102–115.
Asoba, S. N. ve Mefi, N. P. (2022). The Generational Dimensıon of Technology Acceptance: The Case of Generatıon X and Millennial Managers. Journal of Management Information and Decision Sciences, 25(4), 1–7.
Balcı, A. (2011). Sosyal Bilimlerde Araştırma: Yöntem, Teknik ve İlkeler (9th bs.). Ankara: Pegem.
Belanche, D., Casaló, L. V. ve Flavián, C. (2020). Frontline robots in tourism and hospitality: service enhancement or cost reduction? Electronic Markets, 1–16. doi:10.1007/S12525-020-00432-5
Brown, M. A. (1984). Change mechanisms in the diffusion of residential energy conservation practices: an empirical study. Technological Forecasting and Social Change, 25(2), 123–138. doi:10.1016/0040-1625(84)90087-8
Buhalis, D. ve Leung, R. (2018). Smart hospitality—Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 71, 41–50. doi:10.1016/J.IJHM.2017.11.011
Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö. E., Karadeniz, Ş. ve Demirel, F. (2013). Bilimsel Araştırma Yöntemleri (15.). Ankara: Pegem.
Byrd, K., Fan, A., Her, E. S., Liu, Y., Almanza, B. ve Leitch, S. (2021). Robot vs human: expectations, performances and gaps in off-premise restaurant service modes. International Journal of Contemporary Hospitality Management. doi:10.1108/IJCHM-07-2020-0721
Cai, W., Richter, S. ve McKenna, B. (2019). Progress on technology use in tourism. Journal of Hospitality and Tourism Technology, 10(4), 651–672. doi:10.1108/JHTT-07-2018-0068
Çakır, İ. ve Kazançoğlu, İ. (2020). Sanal Market Alışverişi Yapma Niyetinde Genişletilmiş Teknoloji Kabul Modeli Bileşenleri ile Risk Algılarının Etkisi. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 18(2), 305–326.
Calvo-Porral, C. ve Pesqueira-Sanchez, R. (2020). Generational differences in technology behaviour: comparing millennials and Generation X. Kybernetes, 49(11), 2755–2772. doi:10.1108/K-09-2019-0598/FULL/PDF
Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., Bywaters, D. ve Walker, K. (2020). Purposive sampling: complex or simple? Research case examples: Journal of Research in Nursing, 25(8), 652–661. doi:10.1177/1744987120927206
Cha, S. S. (2020). Customers’ intention to use robot-serviced restaurants in Korea: relationship of coolness and MCI factors. International Journal of Contemporary Hospitality Management, 32(9), 2947–2968. doi:10.1108/IJCHM-01-2020-0046
Choi, Y., Choi, M., Oh, M. (Moon) ve Kim, S. (Sam). (2019). Service robots in hotels: understanding the service quality perceptions of human-robot interaction. Journal of Hospitality Marketing & Management, 29(6), 613–635. doi:10.1080/19368623.2020.1703871
Christou, P., Simillidou, A. ve Stylianou, M. C. (2020). Tourists’ perceptions regarding the use of anthropomorphic robots in tourism and hospitality. International Journal of Contemporary Hospitality Management, 32(11), 3665–3683. doi:10.1108/IJCHM-05-2020-0423
Cohen, E. (1972). Toward a sociology of international tourism. Social Research, 164–182. https://www.jstor.org/stable/pdf/40970087.pdf adresinden erişildi.
Compeau, D. R. ve Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly: Management Information Systems, 19(2), 189–210. doi:10.2307/249688
Dai, B., Larnyo, E., Tetteh, E. A., Aboagye, A. K. ve Musah, A.-A. I. (2019). Factors Affecting Caregivers’ Acceptance of the Use of Wearable Devices by Patients With Dementia: An Extension of the Unified Theory of Acceptance and Use of Technology Model: American Journal of Alzheimer’s Disease and Other Dementias, 35, 1–11. doi:10.1177/1533317519883493
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies. doi:10.1006/imms.1993.1022
Durna, E. C. ve Taşçıoğlu-Baysal, H. (2021). Ziyaretçilerin Otel İşletmelerine Yönelik Yorum ve Şikayetlerinin İncelenmesi: Dünyanın İlk Robotik Oteli Olan “Henn na Otel” Örneği. Turizm ve İşletme Bilimleri Dergisi, 1(2), 85–102.
Escobar-Rodríguez, T. ve Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70–88. doi:10.1016/J.TOURMAN.2014.01.017
Fabrigar, L. R. ve Wegener, D. T. (2012). Exploratory Factor Analysis: Understanding Statistics. New York: Oxford University Press.
Fakfare, P., Talawanich, S. ve Wattanacharoensil, W. (2020). A scale development and validation on domestic tourists’ motivation: the case of second-tier tourism destinations. https://doi.org/10.1080/10941665.2020.1745855, 25(5), 489–504. doi:10.1080/10941665.2020.1745855
Fan, W., Liu, J., Zhu, S. ve Pardalos, P. M. (2020). Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS). Annals of Operations Research, 294(1–2), 567–592. doi:10.1007/S10479-018-2818-Y/FIGURES/3
Faul, F., Erdfelder, E., Lang, A.-G. ve Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. doi:10.3758/BF03193146
Fernández-Llamas, C., Conde, M. A., Rodríguez-Lera, F. J., Rodríguez-Sedano, F. J. ve García, F. (2018). May I teach you? Students’ behavior when lectured by robotic vs. human teachers. Computers in Human Behavior, 80, 460–469. doi:10.1016/J.CHB.2017.09.028
Fornell, C. ve Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. doi:10.2307/3151312
Foxall, G. R., Goldsmith, R. E. ve Brown, S. (1998). Consumer Psychology for Marketing. Cengage Learning EMEA, 1.
Fuentes-Moraleda, L., Díaz-Pérez, P., Orea-Giner, A., Muñoz- Mazón, A. ve Villacé-Molinero, T. (2020). Interaction between hotel service robots and humans: A hotel-specific Service Robot Acceptance Model (sRAM). Tourism Management Perspectives, 36, 100751. doi:10.1016/J.TMP.2020.100751
Ghazali, A. S., Ham, J., Barakova, E. ve Markopoulos, P. (2020). Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots. International Journal of Social Robotics, 12, 1075–1092.
Go, H., Kang, M. ve Suh, S. B. C. (2020). Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge. Tourism Review, 75(4), 625–636. doi:10.1108/TR-02-2019-0062
Hair, F. H., Black, W. C., Babin, B. J. ve Anderson, R. E. (2019). Multivariate Data Analysis (Eighth Edi.). Andover: Cengage.
Hair, J. (2009). Multivariate Data Analysis: A Global Perspective. Faculty Publications (7. bs.). Prentice Hall. https://digitalcommons.kennesaw.edu/facpubs/2925 adresinden erişildi.
Hair, J. F., Sarstedt, M., Ringle, C. M. ve Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling. California: Sage Publications.
Hair, J., Howard, M. C. ve Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. doi:10.1016/j.jbusres.2019.11.069
Hair, J., Hult, G. T. M., Ringle, C. M. ve Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2. bs.). Los Angeles: Sage.
Hair, J., Risher, J. J., Sarstedt, M. ve Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. doi:10.1108/EBR-11-2018-0203
Henseler, J., Ringle, C. M. ve Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. doi:10.1007/s11747-014-0403-8
Hsu, C. L. ve Lin, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65–74. doi:10.1016/J.IM.2007.11.001
Hui-Wen Chuah, S., Cheng-Xi Aw, E. ve Cheng, C.-F. (2021). A silver lining in the COVID-19 cloud: examining customers’ value perceptions, willingness to use and pay more for robotic restaurants. Journal of Hospitality Marketing & Management. doi:10.1080/19368623.2021.1926038
Hwang, J., Kim, J. J. ve Lee, K. W. (2021). Investigating consumer innovativeness in the context of drone food delivery services: Its impact on attitude and behavioral intentions. Technological Forecasting and Social Change, 163, 120433. doi:10.1016/J.TECHFORE.2020.120433
Hwang, J., Park, S. ve Kim, I. (2020). Understanding motivated consumer innovativeness in the context of a robotic restaurant: The moderating role of product knowledge. Journal of Hospitality and Tourism Management, 44, 272–282. doi:10.1016/J.JHTM.2020.06.003
İbiş, S. (2019). Turizm Endüstrisinde Robotlaşma. Türk Turizm Araştırmaları Dergisi, 3(3), 403–420.
Im, I., Hong, S. ve Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information & Management, 48(1), 1–8. doi:10.1016/J.IM.2010.09.001
Ivanov, S. ve Webster, C. (2019). Perceived appropriateness and intention to use service robots in tourism. In
Pesonen, J. & Neidhardt, J. (Ed.) Information and Communication Technologies in Tourism 2019, Proceedings of the International Conference içerisinde, Nicosia, Cyprus, 30.01-01.02.2019, sf. 237-248.
Jeon, H. M., Sung, H. J. ve Kim, H. Y. (2020). Customers’ acceptance intention of self-service technology of restaurant industry: expanding UTAUT with perceived risk and innovativeness. Service Business, 14(4), 533–551. doi:10.1007/S11628-020-00425-6/TABLES/4
Kaba, B. ve Touré, B. (2014). Understanding information and communication technology behavioral intention to use: Applying the UTAUT model to social networking site adoption by young people in a least developed country. Journal of the Association for Information Science and Technology, 65(8), 1662–1674. doi:10.1002/ASI.23069
Kağıtçıbaşı, C. (1983). Women and development in Turkey. International Journal of Turkish Studies, 2, 59–70.
Kamboj, S. ve Joshi, R. (2020). Examining the factors influencing smartphone apps use at tourism destinations: a UTAUT model perspective. International Journal of Tourism Cities, 7(1), 135–157. doi:10.1108/IJTC-05-2020-0094
Khalilzadeh, J., Ozturk, A. B. ve Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460–474. doi:10.1016/J.CHB.2017.01.001
Khechine, H., Lakhal, S., Pascot, D. ve Bytha, A. (2014). UTAUT Model for Blended Learning: The Role of Gender and Age in the Intention to Use Webinars. Interdisciplinary Journal of E-Learning and Learning Objects, 10, 33–52.
Kim, D. Y., Park, J. ve Morrison, A. M. (2008). A model of traveller acceptance of mobile technology. International Journal of Tourism Research, 10(5), 393–407. doi:10.1002/jtr.669
Kim, D. Y. ve Park, S. (2019). Rethinking millennials: how are they shaping the tourism industry? Asia Pacific Journal of Tourism Research, 25(1), 1–2. doi:10.1080/10941665.2019.1667607
Kim, J. J., Choe, J. Y. (Jacey) ve Hwang, J. (2020). Application of consumer innovativeness to the context of robotic restaurants. International Journal of Contemporary Hospitality Management, 33(1), 224–242. doi:10.1108/IJCHM-06-2020-0602
Kim, M. J. ve Hall, C. M. (2020). What drives visitor economy crowdfunding? The effect of digital storytelling on unified theory of acceptance and use of technology. Tourism Management Perspectives, 34, 100638. doi:10.1016/J.TMP.2020.100638
Kim, S., Kim, J., Badu-Baiden, F., Giroux, M. ve Choi, Y. (2021). Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic. International Journal of Hospitality Management, 93, 102807. doi:10.1016/J.IJHM.2020.102795
Kizir, E. ve Bozbay, Z. (2021). Moda Ürünleri Satan Mobil Alışveriş Uygulamalarının Kabulünün Birleştirilmiş Teknoloji Kabul ve Kullanım Teorisi Çerçevesinde İncelenmesi. Marmara Üniversitesi Öneri Dergisi, 16(55), 286–310.
Lian, J. W. ve Yen, D. C. (2014). Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior, 37, 133–143. doi:10.1016/J.CHB.2014.04.028
Lu, L., Cai, R. ve Gursoy, D. (2019). Developing and validating a service robot integration willingness scale. International Journal of Hospitality Management, 80, 36–51. doi:10.1016/J.IJHM.2019.01.005
Magsamen-Conrad, K., Upadhyaya, S., Joa, C. Y. ve Dowd, J. (2015). Bridging the divide: Using UTAUT to predict multigenerational tablet adoption practices. Computers in Human Behavior, 50, 186–196. doi:10.1016/J.CHB.2015.03.032
Mang, C. F., Piper, L. A. ve Brown, N. R. (2016). The Incidence of Smartphone Usage among Tourists. International Journal of Tourism Research, 18(6), 591–601. doi:10.1002/JTR.2076
Mo, C. min, Howard, D. R. ve Havitz, M. E. (1993). Testing an international tourist role typology. Annals of Tourism Research, 20(2), 319–335. doi:10.1016/0160-7383(93)90058-B
Neuhofer, B., Buhalis, D. ve Ladkin, A. (2014). A Typology of Technology-Enhanced Tourism Experiences. International Journal of Tourism Research, 16(4), 340–350. doi:10.1002/JTR.1958
Nüfusu. (2022). Ankara Nüfusu 2021 2022. 4 Haziran 2022 tarihinde https://www.nufusu.com/il/ankara-nufusu adresinden erişildi.
Özekici, Y. K. (2019). Yerli Halk-Turist Etkileşimi ve Bir Model Önerisi. Gazi University.
Özgürel, G. ve Kılınç-Şahin, S. (2021). Turizmde Robotlaşma: Yiyecek-İçecek Sektöründe Robot Şefler ve Robot Garsonlar. OPUS, 11(8), 1849–1882. doi:10.26466/opus.899296
Palos-Sanchez, P., Jose, ·, Saura, R., Correia, M. B., Saura, J. R. ve Pt, M. (2021). Do tourism applications’ quality and user experience influence its acceptance by tourists? Review of Managerial Science, 15, 1205–1241. doi:10.1007/s11846-020-00396-y
Pan, S. ve Jordan-Marsh, M. (2010). Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective. Computers in Human Behavior, 26(5), 1111–1119. doi:10.1016/J.CHB.2010.03.015
Parasuraman, A. (2000). Technology Readiness Index (Tri): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320.
Park, C. (2004). Efficient or enjoyable? Consumer values of eating-out and fast food restaurant consumption in Korea. International Journal of Hospitality Management, 23(1), 87–94. doi:10.1016/J.IJHM.2003.08.001
Park, S. ve Stangl, B. (2020). Augmented reality experiences and sensation seeking. Tourism Management, 77(October 2019), 104023. doi:10.1016/j.tourman.2019.104023
Pourfakhimi, S., Duncan, T. ve Coetzee, W. (2019). A critique of the progress of eTourism technology acceptance research: time for a hike? Journal of Hospitality and Tourism Technology, 10(4), 689–746.
Rahman, M. M., Lesch, M. F., Horrey, W. J. ve Strawderman, L. (2017). Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems. Accident Analysis & Prevention, 108, 361–373.
Ramadan, Z. B., Farah, M. F. ve Mrad, M. (2017). An adapted TPB approach to consumers’ acceptance of service-delivery drones. Technology Analysis and Strategic Management, 29(7), 817–828. doi:10.1080/09537325.2016.1242720
Revfine. (2020). 8 Examples of Robots Being Used in the Hospitality Industry. 16 Aralık 2021 tarihinde https://www.revfine.com/robots-hospitality-industry/ adresinden erişildi.
Ringle, C. M., Wende, S. ve Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, http://www. smartpls. com.
Robinson, L., Marshall, G. W. ve Stamps, M. B. (2005). Sales force use of technology: Antecedents to technology acceptance. Journal of Business Research, 58(12), 1623–1631. doi:10.1016/j.jbusres.2004.07.010
Ryan, T. ve Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in Human Behavior, 27(5), 1658–1664. doi:10.1016/j.chb.2011.02.004
San Martín, H. ve Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350. doi:10.1016/J.TOURMAN.2011.04.003
Seo, K. H. ve Lee, J. H. (2021). The Emergence of Service Robots at Restaurants: Integrating Trust, Perceived Risk, and Satisfaction. Sustainability, 13(8), 4431. doi:10.3390/SU13084431
Seyitoğlu, F., Ivanov, S., Atsız, O. ve Çifçi, İ. (2021). Robots as restaurant employees - A double-barrelled detective story. Technology in Society, 67, 101779. doi:10.1016/J.TECHSOC.2021.101779
Shin, H. H. ve Jeong, M. (2020). Guests’ perceptions of robot concierge and their adoption intentions. International Journal of Contemporary Hospitality Management, 32(8), 2613–2633. doi:10.1108/IJCHM-09-2019-0798
Siang, T. G., Ahmad, Z. B., Bin, K., Aziz, K. B. ve Suhaifi, S. B. (2019). Augmented reality mobile application for museum: A technology acceptance study. 6th International Conference on Research and Innovation in Information Systems (ICRIIS) içerisinde, Londra, 26-28.07.2019, sf. 1-6.
Sohn, K. ve Kwon, O. (2020). Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products. Telematics and Informatics, 47, 101324. doi:10.1016/J.TELE.2019.101324
Su, K. W., Tseng, H. H., Wu, A. T. ve Lien, C. Y. (2016). Exploring User Behavioral Intention of the Tourist Guiding System by Users' Perspective. Proceedings of the International MultiConference of Engineers and Computer Scientists (Sayı 1) içerisinde, Hong Kong, 16-18.03.2016, sf. 169-173.
Tan, G. W. H., Lee, V. H., Lin, B. ve Ooi, K. B. (2017). Mobile applications in tourism: The future of the tourism industry? Industrial Management and Data Systems, 117(3), 560–581. doi:10.1108/IMDS-12-2015-0490/FULL/PDF
Tan, G. W. H. ve Ooi, K. B. (2018). Gender and age: Do they really moderate mobile tourism shopping behavior? Telematics and Informatics, 35(6), 1617–1642. doi:10.1016/J.TELE.2018.04.009
Teng, C. C., Lu, A. C. C. ve Huang, T. T. (2018). Drivers of consumers’ behavioral intention toward green hotels. International Journal of Contemporary Hospitality Management, 30(2), 1134–1151. doi:10.1108/IJCHM-04-2017-0203
Tolbize, A. (2008). Generational differences in the workplace. Minnesota. http://dwashingtonllc.com/pdf/generational_differences_workplace.pdf adresinden erişildi.
Tull, M. T., Edmonds, K. A., Scamaldo, K. M., Richmond, J. R., Rose, J. P. ve Gratz, K. L. (2020). Psychological outcomes associated with stay-at-home orders and the perceived impact of COVID-19 on daily life. Psychiatry Research, 289(April), 113098. doi:10.1016/j.psychres.2020.113098
Tung, V. W. S. ve Au, N. (2018). Exploring customer experiences with robotics in hospitality. International Journal of Contemporary Hospitality Management, 30(7), 2680–2697. doi:10.1108/IJCHM-06-2017-0322/FULL/PDF
Tuomi, A., Tussyadiah, I. P. ve Stienmetz, J. (2020). Applications and Implications of Service Robots in Hospitality: Cornell Hospitality Quarterly, 62(2), 232–247. doi:10.1177/1938965520923961
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:10.1016/J.ANNALS.2020.102883
Usakli, A. ve Küçükergin, K. G. (2018). Using partial least squares structural equation modeling in hospitality and tourism: Do researchers follow practical guidelines? International Journal of Contemporary Hospitality Management, 30(11), 3462–3512. doi:10.1108/IJCHM-11-2017-0753
Venkatesh, V. (2021). Adoption and use of AI tools: a research agenda grounded in UTAUT. Annals of Operations Research, 1–12. doi:10.1007/S10479-020-03918-9/TABLES/1
Venkatesh, V., Morris, M. G., Davis, G. B. ve Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478.
Warde, A. ve Martens, L. (2000). Eating out: Social differentiation, consumption and pleasure. Cambridge: Cambridge University Press.
Xu, S., Stienmetz, J. ve Ashton, M. (2020). How will service robots redefine leadership in hotel management? A Delphi approach. International Journal of Contemporary Hospitality Management, 32(6), 2217–2237. doi:10.1108/IJCHM-05-2019-0505/FULL/PDF
Yazıcı-Ayyıldız, A. ve Eroğlu, E. (2021). Restoranlarda Kullanılan Akıllı Teknolojiler ve Robot Restoranlar Hakkında Tripadvisor’da Yapılan Yorumların Değerlendirilmesi. Journal of Tourism and Gastronomy Studies, 9(2), 1102–1122.
Yu, C.-E. (2019). Humanlike robots as employees in the hotel industry: Thematic content analysis of online reviews. Journal of Hospitality Marketing & Management, 29(1), 22–38. doi:10.1080/19368623.2019.1592733
Zaremohzzabieh, Z., Samah, B. A., Omar, S. Z., Bolong, J. ve Hayrol Azril, M. S. (2014). Fisherman’s acceptance of information and communication technology integration in Malaysia: exploring the moderating effect of age and experience. Journal of Applied Sciences, 14(9), 873–882.
Zemke, D. M. V., Tang, J., Raab, C. ve Kim, J. (2020). How To Build a Better Robot . . . for Quick-Service Restaurants: Journal of Hospitality & Tourism Research, 44(8), 1235–1269. doi:10.1177/1096348020946383
Zeng, Z., Chen, P.-J. J. ve Lew, A. A. (2020). From high-touch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies, 22(3), 724–734. doi:10.1080/14616688.2020.1762118
Zhong, L., Zhang, X., Rong, J., Chan, H. K., Xiao, J. ve Kong, H. (2020). Construction and empirical research on acceptance model of service robots applied in hotel industry. Industrial Management & Data Systems, 121(6), 1325–1352.
Özekici, Y. K. (2022). Restoranlar için İnsansı Robotların Kabulünde Kuşaklar Arası Farklılığın Düzenleyici Rolü: Sosyalleşme ve Yenilikçilik ile BTKKT Modeline Yönelik Bir Genişletme Çalışması. Güncel Turizm Araştırmaları Dergisi, 6(2), 635-663. https://doi.org/10.32572/guntad.1037791
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