What makes you continuously use chatbot services? Evidence from chinese online travel agencies
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Abdul-Kader, S. A., & Woods, J. C. (2015). Survey on chatbot design techniques in speech conversation systems. International Journal of Advanced Computer Science and Applications, 6(7), 72–80. https://doi.org/10.14569/IJACSA.2015.060712 .
Akter, S., Ray, P., & D’Ambra, J. (2013). Continuance of mHealth services at the bottom of the pyramid: the roles of service quality and trust. Electronic Markets, 23(1), 29–47. https://doi.org/10.1007/s12525-012-0091-5 .
AlHagbani, E. S., & Khan, M. B. (2016). Challenges facing the development of the Arabic chatbot. In Proceedings of the First International Workshop on Pattern Recognition, International Society for Optics and Photonics. Tokyo, Japan, 100–110. https://doi.org/10.1117/12.2240849 .
Andre, L. (2020). 79 Critical chatbot statistics: 2020 data analysis & market share. Retrieved from https://financesonline.com/chatbot-statistics/
Ask, J.A., Facemire, M., & Hogan, A. (2016). The state of chatbots. Forrester.comReport, 20.
Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421–458. https://doi.org/10.2307/2393203 .
Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921 .
Buhalis, D., & Amaranggana, A. (2015). Smart tourism destinations: Enhancing tourism experience through personalisation of services. In Proceedings of the Tussyadiah & A. Inversini (Eds.), Information and Communication Technologies in Tourism 2015. Heidelberg: Springer. 377-389. https://doi.org/10.1007/978-3-319-14343-9_28 .
Buhalis, D., & Yen, E. C. S. (2020). Exploring the use of chatbots in hotels: Technology providers’ perspective. In Proceedings of Information and Communication Technologies in Tourism 2020, Surrey, United Kingdom, 231–242. https://doi.org/10.1007/978-3-030-36737-4_19 .
Carter, L., & Liu, D. (2018). Technology humanness, trust and e-government adoption. In Proceedings of Australasian Conference on Information Systems 2018. Sydney, Australia, 114–120. https://doi.org/10.5130/acis2018.cp .
CGS. (2018). Chatbots deliver speed, but consumers still want humans. Are we moving too quickly to automation? Retrieved from: https://www.cgsinc.com/sites/default/files/media/resources/pdf/CGS_Consumer%2BCustServ%2Binfographic%2B2018.pdf
Chatbot Market. (2019). Chatbot market by component (solutions and services), usage (websites and contact centers), technology, deployment model, application (customer support and personal assistant), organization size, vertical, and region - global forecast to 2024. Retrieved from https://www.marketsandmarkets.com/Market-Reports/smart-advisor-market-72302363.html
Chatbots Magazine. (2017). China, WeChat, and the origins of chatbots. Retrieved from https://chatbotsmagazine.com/china-wechat-and-the-origins-of-chatbots-89c481f15a44
Chen, S. C., Liu, M. L., & Lin, C. P. (2013). Integrating technology readiness into the expectation–confirmation model: an empirical study of mobile services. Cyberpsychology, Behavior and Social Networking, 16(8), 604–612. https://doi.org/10.1089/cyber.2012.0606 .
Cheng, Y. M. (2014). Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention. Information Technology & People, 27(3), 230–258. https://doi.org/10.1108/ITP-01-2013-0024 .
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In Marcoulides, G. A. (Ed.), Modern methods for business research (pp. 295–336). Mahwah: Lawrence Erlbaum Associates.
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217. https://doi.org/10.1287/isre.14.2.189.16018.
Cho, W. C., Lee, K. Y., & Yang, S. B. (2019). What makes you feel attached to smartwatches? The stimulus–organism–response (S–O–R) perspectives. Information Technology & People, 32(2), 319–343. https://doi.org/10.1108/ITP-05-2017-0152 .
Chung, K., & Park, R. C. (2019). Chatbot-based healthcare service with a knowledge base for cloud computing. Cluster Computing, 22(1), 1925–1937. https://doi.org/10.1007/s10586-018-2334-5 .
Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587–595. https://doi.org/10.1016/j.jbusres.2018.10.004 .
Ciechanowski, L., Przegalinska, A., Magnuski, M., & Gloor, P. (2019). In the shades of the uncanny valley: an experimental study of human–chatbot interaction. Future Generation Computer Systems, 92, 539–548. https://doi.org/10.1016/j.future.2018.01.055 .
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Routledge. https://doi.org/10.4324/9780203771587 .
Danilava, S., Busemann, S., Schommer, C., & Ziegler, G. (2013). Why are you silent? Towards responsiveness in chatbots. In Proceedings of Avec le Temps! Time, Tempo, and Turns in Human-Computer Interaction. Workshop at CHI 2013, Paris, France.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60 .
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748 .
Deng, Z., Mo, X., & Liu, S. (2014). Comparison of the middle-aged and older users’ adoption of mobile health services in China. International Journal of Medical Informatics, 83(3), 210–224. https://doi.org/10.1016/j.ijmedinf.2013.12.002 .
Dubrova, D. (2020). Chatbot for travel industry: benefits, use cases, and a development guide. Retrieved from https://theappsolutions.com/blog/how-to/chatbot-for-travel-business/
Fang, Y. H., Chiu, C. M., & Wang, E. T. (2011). Understanding customers’ satisfaction and repurchase intentions. Internet Research, 21(4), 479–503. https://doi.org/10.1108/10662241111158335 .
Fishman, T. D., Eggers, W. D., & Kishnani, P. (2017). AI-augmented human services. Retrieved from https://www2.deloitte.com/us/en/insights/industry/public-sector/artificial-intelligence-technologies-human-services-programs.html
FlowXO (2020). What industry are using chatbots today? Retrieved from https://flowxo.com/what-industries-are-using-chatbots-today/
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104 .
Go, E., & Sundar, S. S. (2019). Humanizing chatbots: the effects of visual, identity and conversational cues on humanness perceptions. Computers in Human Behavior, 97, 304–316. https://doi.org/10.1016/j.chb.2019.01.020 .
Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: foundations and developments. Electronic Markets, 25(3), 179–188. https://doi.org/10.1007/s12525-015-0196-8 .
Gupta, R. (2019). Chatbots providing their worth in travel e-commerce. Retrieved from https://www.chinatravelnews.com/article/131644
Hamari, J., Sjöklint, M., & Ukkonen, A. (2016). The sharing economy: why people participate in collaborative consumption. Journal of the Association for Information Science and Technology, 67(9), 2047–2059. https://doi.org/10.1002/asi.23552 .
Heeter, C. (1989). Implications of new interactive technologies for conceptualizing communication. In Salvaggio, J. L., Bryant, J. (Eds.). Media Use in the Information Age: Emerging Patterns of Adoption and Consumer Use (pp. 217–235).
Henseler, J., & Fassott, G. (2010). Testing moderating effects in PLS path models: An illustration of available procedures. In: Esposito Vinzi V., Chin W., Henseler J., Wang H. (Eds.). Handbook of Partial Least Squares. Springer Handbooks of Computational Statistics (pp. 713–735). https://doi.org/10.1007/978-3-540-32827-8_31.
Hill, J., Ford, W. R., & Farreras, I. G. (2015). Real conversations with artificial intelligence: a comparison between human–human online conversations and human–chatbot conversations. Computers in Human Behavior, 49, 245–250. https://doi.org/10.1016/j.chb.2015.02.026 .
Hong, S., Thong, J. Y., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: a comparison of three models in the context of mobile internet. Decision Support Systems, 42(3), 1819–1834. https://doi.org/10.1016/j.dss.2006.03.009 .
Hong, J. C., Lin, P. H., & Hsieh, P. C. (2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264–272. https://doi.org/10.1016/j.chb.2016.11.001 .
Hsu, C. L., & Lin, J. C. C. (2019). Understanding continuance intention to use online to offline (O2O) apps. Electronic Markets, 30(4), 883–897. https://doi.org/10.1007/s12525-019-00354-x.
Igbaria, M., & Parasuraman, S. (1989). A path analytic study of individual characteristics, computer anxiety and attitudes toward microcomputers. Journal of Management, 15(3), 373–388. https://doi.org/10.1177/014920638901500302 .
Ivanov, S. (2020). The impact of automation on tourism and hospitality jobs. Information Technology & Tourism, 22(2), 205–215. https://doi.org/10.1007/s40558-020-00175-1.
Ivanov, S., & Webster, C. (2019). Robots, artificial intelligence and service automation in travel, tourism and hospitality. Emerald Publishing Limited. https://doi.org/10.1108/9781787566873 .
Jain, M., Kumar, P., Kota, R., & Patel, S. N. (2018). Evaluating and informing the design of chatbots. In Proceedings of the 2018 Designing Interactive Systems Conference (IDS), ACM, Hong Kong, Hong Kong. 895–906. https://doi.org/10.1145/3196709.3196735 .
Johnson, K., Li, Y., Phan, H., Singer, J., & Trinh, H. (2012). The innovative success that is Apple, Inc. Marshall University Marshall Digital Scholar, 418-460.
Kahiga, A. (2019). A model for adoption of chatbots in Kenya: A case study of Zuku Telegram Bot. [Doctoral dissertation, University of Nairobi]. University of Nairobi. http://erepository.uonbi.ac.ke/handle/11295/107169.
Kalia, A. K., Telang, P. R., Xiao, J., & Vukovic, M. (2017). Quark: A methodology to transform people-driven processes to chatbot services. In Proceedings of International Conference on Service-Oriented Computing, Springer, Cham. 53–61. https://doi.org/10.1007/978-3-319-69035-3_4 .
Kamide, H., Kawabe, K., Shigemi, S., & Arai, T. (2014). Relationship between familiarity and humanness of robots: quantification of psychological impressions toward humanoid robots. Advanced Robotics, 28(12), 821–832. https://doi.org/10.1080/01691864.2014.893837 .
Kang, H. J., & Kim, S. I. (2017). Evaluation on the usability of chatbot intelligent messenger mobile services: focusing on Google (Allo) and Facebook (M messenger). Journal of the Korea Convergence Society, 8(9), 271–276. https://doi.org/10.15207/JKCS.2017.8.9.271 .
Kätsyri, J., Förger, K., Mäkäräinen, M., & Takala, T. (2015). A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness. Frontiers in Psychology, 6, 390. https://doi.org/10.3389/fpsyg.2015.00390.
Kettinger, W. J., & Lee, C. C. (1994). Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25(5–6), 737–766. https://doi.org/10.1111/j.1540-5915.1994.tb01868.x .
Kim, J., & Forsythe, S. (2008). Adoption of virtual try-on technology for online apparel shopping. Journal of Interactive Marketing, 22(2), 45–59. https://doi.org/10.1002/dir.20113 .
Kim, S. H., Bae, J. H., & Jeon, H. M. (2019). Continuous intention on accommodation apps: integrated value-based adoption and expectation–confirmation model analysis. Sustainability, 11(6), 1578–1595. https://doi.org/10.3390/su11061578 .
Kotrlik, J. W., & Redmann, D. H. (2009). A trend study: technology adoption in the teaching-learning process by secondary agriscience teachers – 2002 and 2007. Journal of Agricultural Education, 50(2), 64–76. https://doi.org/10.5032/jae.2009.02062 .
Kuligowska, K. (2015). Commercial chatbot: performance evaluation, usability metrics and quality standards of embodied conversational agents. Professionals Center for Business Research, 2(2), 1–16. https://doi.org/10.18483/PCBR.22 .
Lankton, N. K., McKnight, D. H., & Tripp, J. (2015). Technology, humanness, and trust: rethinking trust in technology. Journal of the Association for Information Systems, 16(10), 880–918. https://doi.org/10.17705/1jais.00411 .
Lee, H. M., & Chen, T. (2014). Perceived quality as a key antecedent in continuance intention on mobile commerce. International Journal of Electronic Commerce Studies, 5(2), 123–142. https://doi.org/10.7903/ijecs.1150 .
Lee, M. K., & Park, H. (2019). Exploring factors influencing usage intention of chatbot: chatbot in financial service. Journal of the Korean Society for Quality Management, 47(4), 755–765. https://doi.org/10.7469/JKSQM.2019.47.4.755 .
Lee, H. J., & Yang, K. (2013). Interpersonal service quality, self-service technology (SST) service quality, and retail patronage. Journal of Retailing and Consumer Services, 20(1), 51–57. https://doi.org/10.1016/j.jretconser.2012.10.005 .
Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: a methodology for information quality assessment. Information & Management, 40(2), 133–146. https://doi.org/10.1016/S0378-7206(02)00043-5 .
Lee, K., Lee, K. Y., & Sheehan, L. (2019). Hey Alexa! A magic spell of social glue? Sharing a smart voice assistant speaker and its impact on users’ perception of group harmony. Information Systems Frontiers, 22(3), 563-583. https://doi.org/10.1007/s10796-019-09975-1.
Li, H., Gupta, A., Zhang, J., & Flor, N. (2020a). Who will use augmented reality? An integrated approach based on text analytics and field survey. European Journal of Operational Research, 281(3), 502–516. https://doi.org/10.1016/j.ejor.2018.10.019 .
Li, Y., Grandison, T., Silveyra, P., Douraghy, A., Guan, X., Kieselbach, T., Li, C. & Zhang, H. (2020b). Jennifer for COVID-19: an NLP-powered chatbot built for the people and by the people to combat misinformation. In Proceedings of ACL 2020 Workshop on natural language processing for COVID-19 (NLP-COVID), Seattle, Washington, 1–9.
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS Quarterly, 31(1), 59–87. https://doi.org/10.2307/25148781 .
Liao, C., Palvia, P., & Lin, H. N. (2010). Stage antecedents of consumer online buying behavior. Electronic Markets, 20(1), 53–65. https://doi.org/10.1007/s12525-010-0030-2 .
Liu, D., Cheng, G., An, L., Gan, X., Wu, Y., Zhang, B., Hu, S., Zeng, Y., & Wu, L. (2019). Public knowledge about dementia in China: a national WeChat-based survey. International Journal of Environmental Research and Public Health, 16(21), 4231–4245. https://doi.org/10.3390/ijerph16214231 .
Long, J., Yuan, J., & Lee, H. M. (2019). How to program a chatbot: An introductory project and student perceptions. Issues in Informing Science and Information Technology, 16, 1–31. https://doi.org/10.28945/4282 .
Lopatovska, I., & Williams, H. (2018). Personification of the Amazon Alexa: BFF or a mindless companion. In Proceedings of the 2018 Conference on Human Information Interaction & Retrieval. New Brunswick, NJ, 265–268. https://doi.org/10.1145/3176349.3176868.
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: machines vs. humans: the impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 913–1084. https://doi.org/10.1287/mksc.2019.1192 .
McKinney, V., Yoon, K., & Zahedi, F. M. (2002). The measurement of web-customer satisfaction: an expectation and disconfirmation approach. Information Systems Research, 13(3), 296–315. https://doi.org/10.1287/isre.13.3.296.76 .
McTear, M., Callejas, Z., & Griol, D. (2016). The conversational interface: Talking to smart devices. In The conversational Interface (pp. 283–308). Cham: Springer. https://doi.org/10.1007/978-3-319-32967-3_13 .
Meerschman, H., & Verkeyn, J. (2019). Towards a better understanding of service quality attributes of a chatbot. [Master’s dissertation. Ghent University] Ghent University.
Meijer, R. R., & Sijtsma, K. (1995). Detection of aberrant item score patterns: a review of recent developments. Applied Measurement in Education, 8(3), 261–272. https://doi.org/10.1207/s15324818ame0803_5 .
Melián-González, S., Gutiérrez-Taño, D., & Bulchand-Gidumal, J. (2019). Predicting the intentions to use chatbots for travel and tourism. Current Issues in Tourism, 1-19. https://doi.org/10.1080/13683500.2019.1706457.
Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56(11), 899–906. https://doi.org/10.1016/S0148-2963(01)00276-4 .
Milenkovic, J. (2020). 43 useful online banking statistics: all about mobile money! Retrieved from https://kommandotech.com/statistics/online-banking-statistics/
Mori, M. (1970). Bukimi no tani [the uncanny valley]. Energy, 7, 33–35.
Nadarzynski, T., Miles, O., Cowie, A., & Ridge, D. (2019). Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: a mixed-methods study. Digital Health, 5, 1–12. https://doi.org/10.1177/2055207619871808 .
Nascimento, B., Oliveira, T., & Tam, C. (2018). Wearable technology: what explains continuance intention in smartwatches? Journal of Retailing and Consumer Services, 43, 157–169. https://doi.org/10.1016/j.jretconser.2018.03.017 .
Nelson, R. R., Todd, P. A., & Wixom, B. H. (2005). Antecedents of information and system quality: an empirical examination within the context of data warehousing. Journal of Management Information Systems, 21(4), 199–235. https://doi.org/10.1080/07421222.2005.11045823 .
Neuhofer, B., Buhalis, 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 .
Nguyen, T. (2019). Potential effects of chatbot technology on customer support: A case study. [Master’s dissertation, Aalto University] Aalto University.
Nica, I., Tazl, O. A., & Wotawa, F. (2018). Chatbot-based tourist recommendations using model-based reasoning. In Proceedings of the 20th International Workshop on Configuration, Graz, Austria, 25–30.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.1177/002224378001700405 .
Osman, M. (2020). Ecommerce statistics for 2020: chatbots, voice, omni-channel marketing. Retrieved from https://kinsta.com/blog/ecommerce-statistics/
Oulasvirta, A., Engelbrecht, K.P., Jameson, A., & Möller, S. (2006). The relationship between user errors and perceived usability of a spoken dialogue system. In Proceedings of 2nd ISCA/DEGA Tutorial and Research Workshop on Perceptual Quality of Systems, 61–67.
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. https://doi.org/10.1177/109467050024001 .
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.
Park, E. (2020). User acceptance of smart wearable devices: an expectation-confirmation model approach. Telematics and Informatics, 47, 101318. https://doi.org/10.1016/j.tele.2019.101318 .
Park, M., Aiken, M., & Salvador, L. (2018). How do humans interact with chatbots? An analysis of transcripts. International Journal of Management & Information Technology, 14, 3338–3350. https://doi.org/10.24297/ijmit.v14i0.7921 .
Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: a principal-agent perspective. MIS Quarterly, 31(1), 105–136. https://doi.org/10.2307/25148783 .
Pearl, C. (2016). Designing voice user interfaces: Principles of conversational experiences. O'Reilly Media, Inc.
Pereira, J., & Díaz, Ó. (2018). Chatbot dimensions that matter: Lessons from the trenches. In Proceedings of International Conference on Web Engineering. Cáceres, Spain. 129–135. https://doi.org/10.1007/978-3-319-91662-0_9 .
Phocuswright Research. (2019). How China became the world’s 2nd-largest OTA market. Retrieved from https://www.phocuswright.com/Travel-Research/Research-Updates/2019/How-China-became-the-worlds-2nd-largest-OTA-market
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879 .
Prasetya, S. A., Erwin, A., & Galinium, M. (2018). Implementing Indonesian language chatbot for ecommerce site using artificial intelligence markup language (AIML). In Prosiding Seminar Nasional Pakar, 313–322.
Purington, A., Taft, J. G., Sannon, S., Bazarova, N. N., & Taylor, S. H. (2017). Alexa is my new BFF: Social roles, user satisfaction, and personification of the amazon echo. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Denver, Col., 2853–2859. https://doi.org/10.1145/3027063.3053246 .
Quah, J. T., & Chua, Y. W. (2019). Chatbot assisted marketing in financial service industry. In International Conference on Services Computing, Springer, Cham, 107–114. https://doi.org/10.1007/978-3-030-23554-3_8 .
Rahman, A., Al Mamun, A., & Islam, A. (2017). Programming challenges of chatbot: current and future prospective. In Proceedings of the 2017 IEEE region 10 humanitarian technology conference (R10-HTC), Dhaka, Bangladesh, 75–78. https://doi.org/10.1109/R10-HTC.2017.8288910 .
Rettie, R. (2003). Connectedness, awareness and social presence. In Proceedings of the 6th Annual International Workshop on Presence. Aalborg, Denmark, 1–7.
Rogers, E. M. (2010). Diffusion of innovations. New York: Simon and Schuster.
Rosen, D. L., & Karwan, K. R. (1994). Prioritizing the dimensions of service quality: an empirical investigation and strategic assessment. International Journal of Service Industry Management, 5(4), 39–52. https://doi.org/10.1108/09564239410068698 .
Sannon, S., Stoll, B., DiFranzo, D., Jung, M., & Bazarova, N. N. (2018). How personification and interactivity influence stress-related disclosures to conversational agents. In Proceedings of Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, Jersey City, NJ, 285–288. https://doi.org/10.1145/3272973.3274076 .
Schlenker, B. R., & Leary, M. R. (1982). Social anxiety and self-presentation: a conceptualization model. Psychological Bulletin, 92(3), 641–669. https://doi.org/10.1037/0033-2909.92.3.641 .
Sensuse, D. I., Dhevanty, V., Rahmanasari, E., Permatasari, D., Putra, B. E., Lusa, J. S., Misbah, M. & Prima, P. (2019). Chatbot evaluation as knowledge application: a case study of PT ABC. In Proceedings of 2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE), Bangkok, Thailand,1–6. https://doi.org/10.1109/ICITEED.2019.8929967.
Serban, I. V., Sankar, C., Germain, M., Zhang, S., Lin, Z., Subramanian, S., Kim, T., Pieper, M., Chandar, S., Ke, N. R., Rajeshwar, S., de Brebisson, A., Sotelo, J. M. R., Suhubdy, D., Michalski, V., Nguyen, A., Pineau, J., & Bengio, Y. (2017). A deep reinforcement learning chatbot. preprint available at arXiv:1709.02349.
Shin, D. H., Hwang, Y., & Choo, H. (2013). Smart TV: are they really smart in interacting with people? Understanding the interactivity of Korean Smart TV. Behaviour & Information Technology, 32(2), 156–172. https://doi.org/10.1080/0144929X.2011.603360 .
Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. John Wiley & Sons.
Skantze, G. (2007). Error handling in spoken dialogue systems: Managing uncertainty, grounding and miscommunication. Gabriel Skantze.
Sundar, S. S., Bellur, S., Oh, J., Jia, H., & Kim, H. S. (2016). Theoretical importance of contingency in human-computer interaction: effects of message interactivity on user engagement. Communication Research, 43(5), 595–625. https://doi.org/10.1177/0093650214534962 .
Susanto, A., Chang, Y., & Ha, Y. (2016). Determinants of continuance intention to use the smartphone banking services: an extension to the expectation-confirmation model. Industrial Management & Data Systems, 116(3), 508–525. https://doi.org/10.1108/IMDS-05-2015-0195 .
Terpening, E., & Littleton, A. (2016). The 2016 state of social business: social’s shift from innovator to integrator. Altimeter.
Thatcher, J. B., & Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26(4), 381–396. https://doi.org/10.2307/4132314 .
Thies, I. M., Menon, N., Magapu, S., Subramony, M., & O’neill, J. (2017). How do you want your chatbot? An exploratory wizard-of-oz study with young, urban Indians. In Proceedings of the IFIP Conference on Human-Computer Interaction, Springer, Cham, 441–459. https://doi.org/10.1007/978-3-319-67744-6_28 .
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. https://doi.org/10.1016/j.annals.2020.102883 .
Ukpabi, D. C., Aslam, B., & Karjaluoto, H. (2019). Chatbot adoption in tourism services: A conceptual exploration. In Ivanov, S. & Webster, C. (Eds.) Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality, 105–121. https://doi.org/10.1108/978-1-78756-687-320191006.
Uliyar, S. (2017). Oracle a primer: oracle intelligent bots - powered by artificial intelligence. Retrieved from: http://www.oracle.com/us/technologies/mobile/chatbots-primer-3899595.pdf
Urgen, B. A., Kutas, M., & Saygin, A. P. (2018). Uncanny valley as a window into predictive processing in the social brain. Neuropsychologia, 114, 181–185. https://doi.org/10.1016/j.neuropsychologia.2018.04.027 .
Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: what data quality means to data consumers. Journal of Management Information Systems, 12(4), 5–33. https://doi.org/10.1080/07421222.1996.11518099 .
Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave new world: service robots in the frontline. Journal of Service Management, 29(5), 907–931. https://doi.org/10.1108/JOSM-04-2018-0119 .
Yang, K., & Forney, J. C. (2013). The moderating role of consumer technology anxiety in mobile shopping adoption: differential effects of facilitating conditions and social influences. Journal of Electronic Commerce Research, 14(4), 334–347.
Zamora, J. (2017). I’m sorry, Dave, I'm afraid I can't do that: Chatbot perception and expectations. In Proceedings of the 5th International Conference on Human Agent Interaction, 253–260. https://doi.org/10.1145/3125739.3125766 .
Zarouali, B., Van den Broeck, E., Walrave, M., & Poels, K. (2018). Predicting consumer responses to a chatbot on Facebook. Cyberpsychology, Behavior and Social Networking, 21(8), 491–497. https://doi.org/10.1089/cyber.2017.0518 .
Zlatanov, S., & Popesku, J. (2019). Current applications of artificial intelligence in tourism and hospitality. In Proceedings of International Scientific Conference on Information Technology and Data Related Research, Belgrade, Serbia, 84-90. https://doi.org/10.15308/Sinteza-2019-84-90 .
Zmud, R. W. (1978). An empirical investigation of the dimensionality of the concept of information. Decision Sciences, 9(2), 187–195. https://doi.org/10.1111/j.1540-5915.1978.tb01378.x .
Zou, H. J. (2019). Results express: Ctrip’s second quarter financial report. Retrieved from https://www.36kr.com/p/5244947