Chatbot usage in restaurant takeout orders: A comparison study of three ordering methods

被引:61
作者
Leung, Xi Yu [1 ]
Wen, Han [1 ]
机构
[1] Univ North Texas, Dept Hospitality & Tourism Management, 1155 Union Circle,311100, Denton, TX 76203 USA
关键词
Takeout order; Chatbot; Human-robot interaction; Social presence theory; Contingency theory; SOCIAL PRESENCE; SERVICE; SATISFACTION; CONTINGENCY; PERCEPTIONS; TECHNOLOGY; MODEL; FIT; HOSPITALITY; ATTITUDE;
D O I
10.1016/j.jhtm.2020.09.004
中图分类号
F [经济];
学科分类号
02 ;
摘要
The purpose of this study was to explore customers' perceptions and behaviors when using chatbots in restaurant takeout orders. Built on the social presence theory, this study conducted a lab experiment to examine and compare three ordering methods in quick-service and full-service restaurants. Results revealed that phone ordering and online ordering were both better than chatbot ordering in terms of satisfaction and behavioral outcomes. The phone ordering method elicited best social presence and cognitive attitudes, while the online ordering method generated highest order amounts. Chatbot ordering is better suited for use in quick-service restaurants due to their simpler menus. In terms of order items, chatbot method was used for simple menu items and core products, phone method for specials and more complicated items, while online method for more expensive items and add-ons. The findings offer new insight for restaurant practitioners into designing and adopting chatbots.
引用
收藏
页码:377 / 386
页数:10
相关论文
共 79 条
[1]  
Atkinson M. L., 2018, VOICE IS THING 2018
[2]  
Barack, 2018, MAKE YOUR NEXT RESTA
[3]   Innovation in hospitality and tourism industries [J].
Bilgihan, Anil ;
Nejad, Mohammad .
JOURNAL OF HOSPITALITY AND TOURISM TECHNOLOGY, 2015, 6 (03)
[4]   Social interactions in HRI: The robot view [J].
Breazeal, C .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2004, 34 (02) :181-186
[5]   Energy-Constrained Multi-UAV Coverage Path Planning for an Aerial Imagery Mission Using Column Generation [J].
Choi, Younghoon ;
Choi, Youngjun ;
Briceno, Simon ;
Mavris, Dimitri N. .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 97 (01) :125-139
[6]   In the shades of the uncanny valley: An experimental study of human-chatbot interaction [J].
Ciechanowski, Leon ;
Przegalinska, Aleksandra ;
Magnuski, Mikolaj ;
Gloor, Peter .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 92 :539-548
[7]  
Cohen J., 1988, Statistical Power Analysis for the Behavioral Sciences., V2nd, DOI [DOI 10.1007/978-1-4684-5439-0_2, DOI 10.4324/9780203771587, 10.4324/9780203771587]
[8]   Examining the influence of control and convenience in a self-service setting [J].
Collier, Joel E. ;
Sherrell, Daniel L. .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2010, 38 (04) :490-509
[9]  
Collins G.R., 2020, INT HOSPITALITY REV, V34, P61, DOI 10.1108/IHR-09-2019-0019
[10]  
Costello AB., 2005, PRACTICAL ASSESSMENT, V10, P1, DOI [DOI 10.7275/JYJ1-4868, 10.7275/jyj1-4868]