SELF-SERVICE TECHNOLOGY (SST) ACCEPTANCE ANALYSIS IN RESTAURANTS IN INDONESIA BY USING TECHNOLOGY ACCEPTANCE MODEL (TAM)

Regina Hollyvia(1*), Theresia Noverita Sie(2),


(1) 
(2) 
(*) Corresponding Author

Abstract


Penerimaan Self-Service Technology (SST) pada Restoran di Indonesia dengan Menggunakan Technology Acceptance Model (TAM)

 

Penelitian ini bertujuan untuk mengetahui penerimaan konsumen mengenai penggunaan Self-Service Technology pada restoran di Indonesia. Penelitian dilakukan dengan menyebarkan kuesioner kepada 150 responden yang pernah menggunakan Self-Service Technology, baik yang sudah ada di Indonesia maupun di Luar Negeri. Hasil penelitian menunjukan bahwa hal yang paling mempengaruhi penerimaan seseorang terhadap Self-Service Technology (SST) pada restoran di Indonesia adalah  Perceived Ease of Use dan Perceived Enjoyment. Self-Service Technology (SST) pada restoran di Indonesia harus dapat mudah digunakan dan dapat memberikan kesenangan bagi penggunanya.

 

Kata Kunci: Technology Acceptance Model (TAM), Self-Service Technology, Restoran

Self-Service Technology (SST) Acceptance Analysis in Restaurants in Indonesia by Using Technology Acceptance Model (TAM)

 

This study aims to determine the acceptance of consumers regarding the use of Self-Service Technology in restaurants in Indonesia. The study was conducted by distributing questionnaires to 150 respondents who have used Self-Service Technology, both in Indonesia and abroad. The result of research shows that the most influence of one's acceptance to Self-Service Technology (SST) in restaurants in Indonesia is Perceived Ease of Use and Perceived Enjoyment. Self-Service Technology (SST) in restaurants in Indonesia should be easy to use and can provide fun for its users.

 

Keywords: Technology Acceptance Model (TAM), Self-Service Technology, Restaurant


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References


Abdillah, W., Jogiyanto H. (2016). Partial least square (PLS), alternatif structural equation modelling (SEM) dalam penelitian bisnis. Yogyakarta: Penerbit Andi

Ajzen, I., Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall

Arikunto, S. (2010). Prosedur penelitian: Suatu pendekatan praktik. Jakarta: Rineka Cipta

Beldona, S., Buchanan, N., & Miller, B. L. (2014). Exploring the promise of e-tablet restaurant menus. International Journal of Contemporary Hospitality Management, 26(3), 367-382

Bitner, M.J., (1990). Evaluating service encounters: The effects of physical surroundings and employee responses. Journal of Marketing, 54, 69-82

Bitner, M. J., Brown, S. W., & Meuter, M. L. (2000). Technology infusion in service encounters. Journal of the Academy of Marketing Science, 28(1), 138-149

Bobbitt, L. M., Dabholkar, P. A. (2001). Integrating attitudinal theories to understand and predict use of technology-based self-service: The internet as an illustration. International Journal of Service Industry Management, 12, 423–450

Butler, R. (2011). Tourism area life cycle. Woodeaton, Oxford: Goodfellow Publishers Ltd.

Chai, Y., et al., (2010). Automated food ordering system with interactive user interface approach. Robotics Automation and Mechatronics (RAM) IEEE Conference, 482-485.

Curran, J. M., Meuter, M. L., & Surprenant, C. F. (2003). Intentions to use selfservice technologies: A confluence of multiple attitudes. Journal of Service Research, 5(3), 209-224

Curran, J. M., Meuter, M. L. (2005). Self-service technology adoption: Comparing three technologies. Journal of Services Marketing, 19(2), 103-113

Dabholkar, P., Thorpe, D.I., & Rentz, J.O. (1996). A measure of service quality for retail stores: Scale development and validation. Journal of the Academy of Marketing Science, 24(1), 2-16

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003

________. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22, 1111–1132

Di Pietro, L., Di Virgilio, F., & Pantano, E. (2012). Social network for the choice of tourist destination: Attitude and behavioural intention. Journal of Hospitality and Tourism Technology, 3(1), 60-76

Fishbein, M., Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley

Ghozali, I. (2014). Structural equation modeling metode alternatif dengan partial least square (PLS) (4th ed.). Semarang: Badan Penerbit Universitas Diponegoro

Hair, J. F., Anderson, R. E., Taham, R. L., & Black, W. C. (2006). Multivariate data analysis (5th ed.). Jakarta: Gramedia Pusaka Utama

Harrington, R.J., & Ottenbacher, M.C. (2009). Strategic management: An analysis of its representation and focus in recent hospitality research. International Journal of Contemporary Hospitality Management. 23(4), 439-462

Howard, M., Worboys, C. (2003). Self-service: A contradiction in terms or customer-led choice?. Journal of Consumer Behavior, 2(4), 382-392

Indriantoro, N., Supomo, B. (2009). Metodologi penelitian bisnis untuk akuntansi dan manajemen (1st ed.). Yogyakarta: BPFE Yogyakarta

Kaushik, A.K , Rahman, Z. (2015). Innovation adoption across self-service banking technologies in India. International Journal of Bank Marketing, 33 (2), 96-121

Krishna, P. M., Palak, P. P., Nirali, R. R., & Lalit, P. A. (2015). Automated food ordering system. International Journal of Engineering Research and Development (IJERD), 41-45

Kimes, S. E. (2008). The role of technology in restaurant revenue management. Cornell Hospitality Quarterly, 49(3), 297-309

Kountur, R. (2007). Metode penelitian untuk penulisan skripsi dan tesis. Jakarta: PPM

Kuncoro, M. (2003). Metode kuantitative: Teori dan aplikasi untuk bisnis dan ekonomi (1st ed.). Yogyakarta: Penerbit AAP AMP YKPN

Kustono, A. S. (2000). Faktor-faktor yang mempengaruhi tingkat penerimaan implementasi sistem informasi baru. Media Akuntansi, 11-13

Lee ,Y. S. (2013). Hospitality industry web-based self-service technology adoption model: A cross-cultural perspective. Journal of Hospitality & Tourism Research, 2(10), 1–36

Lee, W., Chiu, Y. T. H., Liu, C. C., & Chen, C. Y. (2011). Assessing the effects of consumer involvement and service quality in a self-service setting. Human Factors and Ergonomics in Manufacturing & Service Industries, 21(5), 504-515

McDonald’s. (n.d). Create your taste: electronic references. Retrieved October 1, 2017, from http://campaign.mcdonalds.com.hk/en/promotions/createyourtastehk/desktop/sok-guide/

Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50-64

Minnick, F. (2007). A comprehensive look at restaurant technology. Retrieved September 7, 2017, from www.qsrmagazine.com/articles/exclusives/0207/restaurant_technology-1.phtml

Oghazi, P., Mostaghel, R., Hultman, M., & Parida, V. (2012). Antecedents of technology-based self-service acceptance: A proposed model. Services Marketing Quarterly, 33, 195–210

Oh, H., Jeong M., & Baloglu, S. (2013). Tourists' adoption of self-service technologies at resort hotels. Journal of Business Research, 66, 692–699

Oyedele, A., Simpson, P. M. (2007). An empirical investigation of consumer control factors on intention to use selected self-service technologies. International Journal of Service Industry Management, 18(3), 287-306

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

Porter, C. E., Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59, 999–1007

Rayport, J.J., Sviokla, J.F. (1994). Managing in the marketspace. Harvard Business Review, 141-150

Sekaran, U. (2006). Metodologi penelitian untuk bisnis (4th ed.). Jakarta: Salemba Empat

Sugiyono. (2016). Metode penelitian kuantitatif kualitatif dan R&D. Bandung: Alfabeta

Trisnawati, E., Suroso, A., Kumorohadi, U. (2012). Analisis faktor-faktor kunci dari niat pembelian kembali secara online (studi kasus pada konsumen fesh shop). Jurnal Bisnis dan Ekonomi (JBE), 19(2),126 – 141

Venkatesh, V., Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186-204

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478

Weijters, B., Rangarajan, D., Falk, T., & Schillewaert, N. (2007). Determinants and outcomes of customer's use of self-service technology in a retail setting. Journal of Service Research, 10(1), 3-21

Wessels, L., Drennan, J. (2010). An investigation of consumer acceptance of m-banking. International Journal of Bank Marketing, 28(7), 547-568

Widhiarso, W. (2009). Praktek model persamaan struktural (SEM). Retrieved November 26, 2017, from Universitas Gadjah Mada, Diskusi Metodologi Penelitian: http://widhiarso.staff.ugm.ac.id/

Widhiarso, W. (2011). Analisis butir dengan menggunakan analisis faktor. Retrieved November 24, 2017, from Universitas Gadjah Mada, Diskusi Metodologi Penelitian: http://widhiarso.staff.ugm.ac.id/wp/analisis-butir-dengan-menggunakan-analisis-faktor/


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