Abstract
This study validates the unified theory of acceptance and use of technology (UTAUT) model, extended to include risk and innovativeness as additional factors, to identify antecedents that influence customers’ intention to adopt self-service technology at restaurants. Among UTAUT constructs, performance expectancy was the most important determinant of acceptance intention, followed by effort expectancy and social influence. Furthermore, individual innovativeness moderated the effects of social influence and perceived risk on acceptance intention. These findings are meaningful because incorporating information and communication technology (ICT) into food service settings expands the scope of food service research and provides practical implications.
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References
Agarwal R, Karahanna E (2000) Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Q 24(4):665–694
Agarwal R, Prasad J (1998) A conceptual and operational definition of personal innovativeness in the domain of information technology. Inf Syst Res 9(2):204–215
Ain N, Kaur K, Waheed M (2016) The influence of learning value on learning management system use: an extension of UTAUT2. Inf Dev 32(5):1306–1321
Alalwan AA, Dwivedi YK, Rana NP, Algharabat R (2018) Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: extending UTAUT2 with risk. J Retail Consum Serv 40(January):125–138
Alam MZ, Hu W, Barua Z (2018) Using the UTAUT model to determine factors affecting acceptance and use of mobile health (mHealth) services in Bangladesh. J Stud Soc Sci 17(2):137–172
Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103(3):411–423
Arenas-Gaitán J, Peral-Peral B, Ramón-Jerónimo MA (2015) Elderly and internet banking: an application of UTAUT2. J Internet Bank Commer 20(1):1–23
Bagozzi RP, Lee KH (2002) Multiple routes for social influence: the role of compliance, internalization, and social identity. Soc Psychol Q 65(3):226–247
Barrett M, Davidson E, Prabhu J, Vargo SL (2015) Service innovation in the digital age: key contributions and future directions. MIS Q 39(1):135–154
Bauer R (1967) Consumer behavior as risk taking. In: Cox D (ed) Risk taking and information handling in consumer behavior. Harvard University Press, Cambridge, MA, pp 23–33
Beldona S, Buchanan N, Miller BL (2014) Exploring the promise of e-tablet restaurant menus. Int J Contemp Hosp Manage 26(3):367–382
Chosun Biz (2018) Self-service trend as an effect of increased minimum wage. https://biz.chosun.com/site/data/html_dir/2018/12/28/2018122801802.html Accessed 3 Jan 2020
Chosun Biz. (2019) From the alley restaurant to the department store… Unmanned Kiosk Spread. https://biz.chosun.com/site/data/html_dir/2019/05/13/2019051302490.html Accessed 3 Jan 2020
Chiu CM, Wang ET (2008) Understanding web-based learning continuance intention: the role of subjective task value. Inf Manage 45(3):194–201
Conchar MP, Zinkhan GM, Peters C, Olavarrieta S (2004) An integrated framework for the conceptualization of consumers’ perceived-risk processing. J Acad Mark Sci 32(4):418–436
Considinea E, Cormicana K (2016) Self-service technology adoption: an analysis of customer to technology interactions. Procedia Comput Sci 100:103–109
Curran JM, Meuter ML (2005) Self-service technology adoption: comparing three technologies. J Serv Mark 19(2):103–113
Dabholkar PA, Bagozzi RP (2002) An attitudinal model of technology-based self-service: moderating effects of consumer traits and situational factors. J Acad Mark Sci 30(3):184–201
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340
Dwivedi YK, Rana NP, Janssen M, Lal B, Williams MD, Clement M (2017) An empirical validation of a unified model of electronic government adoption (UMEGA). Gov Inf Q 34(2):200–230
Featherman MS, Pavlou PA (2003) Predicting e-services adoption: a perceived risk facets perspective. Int J Hum-Comput St 59(4):451–474
Fernandes T, Pedroso R (2017) The effect of self-checkout quality on customer satisfaction and repatronage in a retail context. Serv Bus 11(1):69–92
Foodbank (2017) First half year business results / fast food. https://www.foodbank.co.kr/news/articleView.html?idxno=52451 Accessed 21 Aug 2019
Fornell CR, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18:39–50
Gelderman CJ, Paul WT, Van Diemen R (2011) Choosing self-service technologies or interpersonal services—the impact of situational factors and technology-related attitudes. J Retail Consum Serv 18(5):414–421
Hair JF, Hult GTM, Ringle C, Sarstedt M (2016) Primer on partial least squares structural equation modelling (PLS-SEM). Sage, Los Angeles, CA
Hanks L, Line ND, Mattila AS (2015) The impact of self-service technology and the presence of others on cause-related marketing programs in restaurants. J Hosp Mark Manag 25(5):547–562
Harkness J (2011) Guidelines for best practice in cross-cultural surveys. University of Michigan Institute for Social Research, Ann Arbor
Higgins SH, Shanklin WL (1992) Seeking mass market acceptance for high-technology consumer products. J Consum Mark 9(1):5–14
Hoffmann S, Soyez K (2010) A cognitive model to predict domain-specific consumer innovativeness. J Bus Res 63(7):778–785
Huang LY, Hsieh YJ, Chang SE (2011) The effect of consumer innovativeness on adoption of location-based services. Rev Glob Manag Serv Sci 1:17–31
Iqbal MS, Hassan MU, Habibah U (2018) Impact of self-service technology (SST) service quality on customer loyalty and behavioral intention: the mediating role of customer satisfaction. Cogent Bus Manage 5(1):1–23
Jeon HM, Ali F, Lee SW (2019) Determinants of consumers’ intentions to use smartphones apps for flight ticket bookings. Serv Ind J 39(5–6):385–402
Jiang L, Jun MJ, Yang Z (2016) Customer-perceived value and loyalty: how do keyservice quality dimensions matter in the context of B2C e-commerce? Serv Bus 10(2):155–170
Joins (2019) Increasing self-service in logistics industry: Corporate survival vs. intensifying unemployment. https://news.joins.com/article/23302427 Accessed 3 Jan 2020
Kaushik AK, Agrawal AK, Rahman Z (2015) Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents. Tour Manage Perspect 16(October):278–289
Kincaid C, Baloglu S (2005) An exploratory study on the impact of self-service technology on restaurant operations. J Foodserv Bus Res 8(3):55–65
Lee MC (2009) Factors influencing the adoption of internet banking: an integration of TAM and TPB with perceived risk and perceived benefit. Electron Commer Res Appl 8(3):130–141
Lee SW, Sung HJ, Jeon HM (2019) Determinants of continuous intention on food delivery apps: Extending UTAUT2 with information quality. Sustainability 11(11):3141
Leicht T, Chtourou A, Youssef KB (2018) Consumer innovativeness and intentioned autonomous car adoption. J High Technol Manage Res 29(1):1–11
Liébana-Cabanillas F, Muñoz-Leiva F, Sánchez-Fernández J (2018) A global approach to the analysis of user behaviorin mobile payment systems in the new electronicenvironment. Serv Bus 12(1):25–64
Liu B (2012) Sentiment analysis and opinion mining. Synth Lectures Hum Lang Technol 5(1):1–167
Mandrik CA, Bao YB (2005) Exploring the concept and measurement of general risk aversion. Assoc Consum Res 32:531–539
Martins C, Oliveira T, Popovič A (2014) Understanding the Internet banking adoption: a unified theory of acceptance and use of technology and perceived risk application. Int J Inf Manage 34(1):1–13
Meuter ML, Ostrom AL, Roundtree RI, Bitner MJ (2000) Self-service technologies: Understanding customer satisfaction with technology-based service encounters. J Mark 64(3):50–64
Mitchell VW, Harris G (2005) The importance of consumers’ perceived risk in retail strategy. Eur J Mark 39(7/8):821–837
Morosan C, DeFranco A (2016) It’s about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels. Int J Hosp Manage 53(February):17–29
Riebeck M, Stark A, Modsching M, Kawalek J (2008) Studying the user acceptance of a mobile information system for tourists in the field. Inf Technol Tour 10(3):189–199
Rogers EM (2003) Diffusion of innovations, 5th edn. The Free Press, New York, NY
Sair SA, Danish RQ (2018) Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers. Pak J Commer Soc Sci 12(2):501–520
San Martín H, Herrero Á (2012) Influence of the user’s psychological factors on the online purchase intention in rural tourism: integrating innovativeness to the UTAUT framework. Tour Manag 33(2):341–350
Scherer A, Wunderlich NV, Von Wangenheim F (2015) The value of self-service: long-term effects of technology-based self-service usage on customer retention. MIS Q 39(1):177–200
Singh M, Matsui Y (2017) How long tail and trust affect online shopping behavior: an extension to UTAUT2 framework. Pacific Asia J Assoc Inf Syst 9(4):1–24
Slade EL, Dwivedi YK, Piercy NC, Williams MD (2015) Modelling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychol Mark 32(8):860–873
Taillon BJ, Huhmann BA (2019) Strategic consequences of self-service technology evaluations. J Strateg Mark 27(3):268–279
Turner JJ, Szymkowiak A (2019) An analysis into early customer experiences of self-service checkouts: lessons for improved usability. Eng Manag Prod Serv 11(1):36–50
Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 27(3):425–478
Venkatesh V, Thong JYL, Xu X (2012) Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Q 36(1):157–178
Wright KB (2005) Researching internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. J Comput Mediat Commun 10(3):JCMC1034
Yi YJ, Kim SY (2017) The role of other customers during self-service technology failure. Serv Bus 11(4):695–715
Yonhapnews (2019) Nearly 60% of Lotteria and McDonald’s stores have kiosks. Accessed 2 April 2020 from https://www.yna.co.kr/view/AKR20190102068300030?section=search
Zeithaml VA, Bitner MJ, Gremler DD (2006) Services marketing: Integrating customer focus across the firm, 4th edn. McGraw-Hill/Irwin, Boston, MA
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This work was supported by the PaiChai University research grant in 2020.
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H-MJ and H-JS conceived and designed the experiments; H-MJ performed the experiments and analysed the data; H-MJ, H-JS, and H-YK wrote the paper. All of authors contributed to read and approved the final manuscript.
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Appendix A: Measurement items for study
Appendix A: Measurement items for study
Measure items | |
---|---|
Performance expectancy | |
PE1 | Using kiosks in fast-food restaurants enables me to accomplish the ordering and payment process quicker |
PE2 | Using kiosks in fast-food restaurants is effective for food ordering and payment |
PE3 | Using kiosks in fast-food restaurants is better than ordering and paying through an employee |
PE4 | Using kiosks in fast-food restaurants is useful |
Effort expectancy | |
EE1 | Learning how to use a kiosk for purchasing food is easy for me |
EE2 | My interaction with kiosks for the purchase of food is clear and understandable |
EE3 | Using kiosks in fast-food restaurants is easy for me |
EE4 | It is easy for me to become skilful at using kiosks for purchasing food |
Social influence | |
SI1 | People who influence my behaviour think that I should use kiosks for purchasing food in fast-food restaurants |
SI2 | People who are important to me think that I should use kiosks for purchasing food in fast-food restaurants |
SI3 | People whose opinions I value prefer that I use kiosks for purchasing food in fast-food restaurants |
SI4 | Listening to the media influences the use of kiosks |
Facilitating conditions | |
FC1 | If you have a problem with a kiosk, staff will be able to help you |
FC2 | I feel comfortable using kiosks for purchasing food in fast-food restaurants |
FC3 | The fast-food restaurant has a kiosk with enough features to use the self-order-payment service |
FC4 | The fast-food restaurant provides easy-to-understand procedures and methods for using kiosks |
Perceived risk | |
PR1 | There is a risk that the ordering and payment processes will not work due to a kiosk system malfunction |
PR2 | Kiosks present the risk of incorrect ordering and payment |
PR3 | I am afraid that my order will be incorrectly processed or paid when using a kiosk |
Acceptance intention | |
AI1 | I will always try to use kiosks in fast-food restaurants |
AI2 | I plan to use kiosk restaurants often when buying fast food |
AI3 | I am always willing to use kiosks in fast-food restaurants |
AI4 | If I get a chance, I will use a kiosk in a fast-food restaurant |
Innovativeness | |
IV1 | When a new product or service is released, I am one of the first to use it |
IV2 | In general, I like to try out new products and services when they are available |
IV3 | If I get news of new technology, I will find a way to try it out |
IV4 | I am willing to give up existing product or service technologies to accommodate new innovative product or service technologies |
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Jeon, H.M., Sung, H.J. & Kim, H.Y. Customers’ acceptance intention of self-service technology of restaurant industry: expanding UTAUT with perceived risk and innovativeness. Serv Bus 14, 533–551 (2020). https://doi.org/10.1007/s11628-020-00425-6
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DOI: https://doi.org/10.1007/s11628-020-00425-6