Evaluation of Customer Satisfaction on Indonesian Banking Chatbot Services During the COVID-19 Pandemic
DOI:
https://doi.org/10.21512/commit.v16i1.7813Keywords:
Customer Satisfaction, Banking Chatbot, COVID-19 PandemicAbstract
The new normal lifestyle during the COVID-19 pandemic encourages every individual to change their behavior towards digital transformation. A banking chatbot is one of the financial technologies promoted by the banking industry to meet the needs of its customers during the pandemic. However, there is still a gap between the quality of the developed chatbot service and customer expectations. The research is conducted to evaluate the factors that affect customer satisfaction with Indonesian banking chatbot services during the COVID-19 pandemic. Data are collected through filling out questionnaires by 222 respondents using the snowball sampling technique. Only 100 respondents are selected and fit into the research criteria consisting of them who domicile in the JABODETABEK area and experience using Indonesian banking chatbot services. The number of respondents used as many as 100 people is also determined based on the ten times rule method and Slovin method. The variables analyzed in the research are system quality, information quality, service quality, trust, perceived value, situational factor, and personal factor. Each variable is observed for its effect on the intention to use and customer satisfaction in using Indonesian banking chatbot services. Then, the obtained data are analyzed using PLS-SEM. The results indicate that system quality, service quality, and information systems significantly positively affect customer satisfaction using Indonesian banking chatbot services. Moreover, information quality and personal factor also affect intention to use Indonesian banking chatbot services significantly and positively. The results are expected to recommend the banking industry to develop banking chatbot services to increase customer satisfaction and intention to use banking chatbot services.
Plum Analytics
References
S. M. D. R. D. Ledignan et al., “Smart money,” 2020. [Online]. Available: https://www.capgemini.com/wp-content/uploads/2020/11/Report-AI-in-CX-FS.pdf
S. Girard, D. Shankavaram, A. L. Thieullent, R. Tolido, G. Gadri, J. Buvat, A. Khadikar et al., “The art of customer-centric artificial intelligence,” 2020. [Online]. Available: https: //www.capgemini.com/wp-content/uploads/2020/07/AI-in-CX CRI-Report 16072020 V4.pdf
Otoritas Jasa Keuangan, “Roadmap pengembangan perbankan Indonesia 2020-2025,” 2021. [Online]. Available: https://bit.ly/35KUlcR
A. O. Suryani and O. M. Purwodiharjo, “Aplikasi health belief model dalam penanganan pandemi COVID-19 di Provinsi DKI Jakarta,” Jurnal Perkotaan, vol. 12, no. 1, pp. 21–38, 2020.
S. Lutpiah and M. I. Hatta, “Pengaruh health belief model terhadap kepatuhan mengikuti protokol kesehatan di masa pandemi covid-19,” Prosiding Psikologi, vol. 7, no. 1, pp. 38–41, 2021.
Bank Mega, “Bank Mega luncurkan MILA, layanan digital customer service,” 2020. [Online]. Available: https://bit.ly/3CaGDw2
BRI, “125 tahun BRI menyelamatkan UMKM: Mengubah kesulitan menjadi ketangguhan,” 2020. [Online]. Available: https://bri.co.id/documents/20123/56786/AnnualReportBRI2020verIndonesia.pdf
BCA, “Beyond uncertainties: Managing the next normal,” 2020. [Online]. Available: https://www.bca.co.id/-/media/Feature/Report/File/S8/Laporan-Tahunan/20210226AR-2020-BCAIndonesia-Medium-Res.pdf
S. Sarbabidya and T. Saha, “Role of chatbot in customer service: A study from the perspectives of the banking industry of Bangladesh,” International Review of Business Research Papers, vol. 16, no. 1, pp. 231–248, 2020.
S. F. Suhel, V. K. Shukla, S. Vyas, and V. P. Mishra, “Conversation to automation in banking through Chatbot using artificial machine intelligence language,” in 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO). IEEE, 2020, pp. 611–618.
M. Chung, E. Ko, H. Joung, and S. J. Kim, “Chatbot e-service and customer satisfaction regarding luxury brands,” Journal of Business Research, vol. 117, pp. 587–595, 2020.
Bank Indonesia, “Indonesia payment systems blueprint 2025: Bank Indonesia: Navigating the national payment systems in the digital era,” 2019. [Online]. Available: https: //www.bi.go.id/en/publikasi/kajian/Documents/Indonesia-Payment-Systems-Blueprint-2025.pdf
IDN Research Institute, “Indonesia millennial report 2019,” 2019. [Online]. Available: https://cdn.idntimes.com/content-documents/indonesia-millennial-report-2019-by-idn-times.pdf
Marketing Research Indonesia, “Chatbot,” 2020. [Online]. Available: https://mri-research-ind.com/news/readnews/17/1234567890
B. D. Bagana, M. Irsad, and I. H. Santoso, “Artificial intelligence as a human substitution? Customer’s perception of the conversational user interface in banking industry based on UTAUT concept,” Review of Management and Entrepreneurship, vol. 5, no. 1, pp. 33–44, 2021.
R. Richad, V. Vivensius, S. Sfenrianto, and E. R. Kaburuan, “Analysis of factors influencing millennial’s technology acceptance of chatbot in the banking industry in Indonesia,” International Journal of Civil Engineering and Technology, vol. 10, no. 4, pp. 1270–1281, 2019.
L. Sanny, A. C. Susastra, C. Roberts, and R. Y. Yusramdaleni, “The analysis of customer satisfaction factors which influence chatbot acceptance in indonesia,” Management Science Letters, vol. 10, no. 6, pp. 1225–1232, 2020.
F. Buttle and S. Maklan, Customer relationship management: Concepts and technologies. Milton: Routledge, 2019.
P. D. Dirgantari, Y. M. Hidayat, M. H. Mahphoth, and R. Nugraheni, “Level of use and satisfaction of e-commerce customers in COVID-19 pandemic period: An Information System Success Model (ISSM) approach,” Indonesian Journal of Science and Technology, vol. 5, no. 2, pp. 261–270, 2020.
A. Wiliam, Sasmoko, H. Prabowo, M. Hamsal, E. Princes, and Y. Indrianti, “Analysis of e-service chatbot and satisfaction of banking customers in Indonesia,” Asia Proceedings of Social Sciences,vol. 4, no. 3, pp. 72–75, 2019.
P. N. N. Duy and T. M. Hoang, “Factors affecting customer satisfaction and customer loyalty the case of Binh Duong ceramic product,” in Proceedings of NIDA International Business Conference, 2017, pp. 380–405.
P. Kotler and K. L. Keller, Marketing management. Boston: Pearson, 2016.
D. Chiguvi and P. T. Guruwo, “Impact of customer satisfaction on customer loyalty in the banking sector,” International Journal of Scientific Engineering and Research, vol. 5, no. 2, pp. 55–63, 2017.
W. H. DeLone and E. R. McLean, “Information systems success measurement,” Foundations and Trends® in Information Systems, vol. 2, no. 1, pp. 1–116, 2016.
O. Sembiring and D. T. H. Aruan, “Trust and commitment toward mobile payment platform,” Journal of Business and Behavioural Entrepreneurship, vol. 4, no. 2, pp. 36–46, 2020.
H. T. Eryadi and E. Yulianna, “Pengaruh perceived value dan social influence terhadap purchase intention smartphone 4G pada pelanggan Bandung Electronic Center,” eProceedings of Management, vol. 3, no. 1, pp. 86–92, 2016.
V. Zeigler-Hill and T. K. Shackelford, Eds., Encyclopedia of personality and individual differences. Cham: Springer, 2020.
N. Wilson and R. Christella, “An empirical research of factors affecting customer satisfaction: A case of the Indonesian e-commerce industry,” DeReMa Jurnal Manajemen, vol. 14, no. 1, pp. 21–44, 2019.
S. H. Chun and A. Nyam Ochir, “The effects of fast food restaurant attributes on customer satisfaction, revisit intention, and recommendation using DINESERV scale,” Sustainability, vol. 12, no. 18, pp. 1–19, 2020.
V. A. Zeithaml, M. J. Bitner, and D. D. Gremler, Services marketing: Integrating customer focus across the firm. New York: McGraw-Hill Education, 2018.
J. F. Rauthmann, “Situational factors,” in Encyclopedia of personality and individual differences. Cham: Springer, 2020.
F. U. Rehman, R. B. M. Yusoff, S. B. M. Zabri, and F. B. Ismail, “Determinants of personal factors in influencing the buying behavior of consumers in sales promotion: A case of fashion industry,” Young Consumers, vol. 18, no. 4, pp. 408–424, 2017.
M. Khaniwale, “Consumer buying behavior,” International Journal of Innovation and Scientific Research, vol. 14, no. 2, pp. 278–286, 2015.
J. Hair, C. L. Hollingsworth, A. B. Randolph, and A. Y. L. Chong, “An updated and expanded assessment of PLS-SEM in information systems research,” Industrial Management & Data Systems, vol. 117, no. 3, pp. 442–458, 2017.
Badan Pusat Statistik, “Kota Tangerang dalam angka 2020,” 2020. [Online]. Available: https://tangerangkota.bps.go.id/publication/2020/04/27/00450113b877b63df098a200/kota-tangerang-dalam-angka-2020.html
——, “Jumlah penduduk provinsi DKI Jakarta menurut kelompok umur dan jenis kelamin 2018-2020,” 2020. [Online]. Available: https://bit.ly/3puXvs0
——, “Kota Bogor dalam angka 2020,” 2020. [Online]. Available: https://bogorkota.bps.go.id/publication/2020/04/27/8be591177823581bbbf06bbb/kota-bogor-dalam-angka-2020.html
——, “Jumlah penduduk menurut kelompok umur dan jenis kelamin di Kota Depok (jiwa), 2018-2020,” 2020. [Online]. Available: https://bit.ly/3syDbIc
——, “Kota Bekasi dalam angka 2020,” 2020. [Online]. Available: https://bekasikota.bps.go.id/publication/2020/04/28/b3c9a8f66a47b925b30b81c8/kota-bekasi-dalam-angka-2020.html
U. Narimawati, J. Sarwono, H. A. Affandi, and H. M. S. Priadana, Ragam analisis dalam metode penelitian: Untuk penulisan skripsi, tesis, & disertasi. Yogyakarta: Penerbit Andi, 2020.
J. F. Hair Jr, G. T. M. Hult, C. Ringle, and M. Sarstedt, A primer on Partial Least Squares Structural Equation Modeling (PLSSEM). Thousand Oaks: SAGE publications, 2017.
J. F. Hair Jr, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, Partial Least Squares Structural Equation Modeling (PLS-SEM) using R: A workbook. Springer Nature, 2021.
M. R. Ab Hamid, W. Sami, and M. H. Mohmad Sidek, “Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion,” Journal of Physics: Conference Series, vol. 890, no. 1, pp. 1–5, 2017.
S. Setiaman, “Tutorial analisa parsial model persamaan struktural dengan software Smart-PLS versi 3,” 2020. [Online]. Available: https://bit.ly/36XHdBw
A. A. Mohammad Salameh, H. Ahmad, F. Zulhumadi, and F. M. Abubakar, “Relationships between system quality, service quality, and customer satisfaction: M-commerce in the Jordanian context,” Journal of Systems and Information Technology, vol. 20, no. 1, pp. 73–102, 2018.
J. T. S. Quah and Y. W. Chua, “Chatbot assisted marketing in financial service industry,” in International Conference on Services Computing. Springer, 2019, pp. 107–114.
D. M. Nguyen, Y. T. H. Chiu, and H. D. Le, “Determinants of continuance intention towards banks’ chatbot services in Vietnam: A necessity for sustainable development,” Sustainability, vol. 13, no. 14, pp. 1–24, 2021.
A. Rossmann, A. Zimmermann, and D. Hertweck, “The impact of chatbots on customer service performance,” in International Conference on Applied Human Factors and Ergonomics. Springer, 2020, pp. 237–243.
S. Rahi and M. Abd. Ghani, “Integration of DeLone and McLean and self-determination theory in internet banking continuance intention context,” International Journal of Accounting & Information Management, vol. 27, no. 3, pp. 512–528, 2019.
S. Kemp, “Digital 2020: Indonesia,” 2020. [Online]. Available: https://datareportal.com/reports/digital-2020-indonesia
L. G. Schiffman and J. L. Wisenblit, Consumer behavior, global edition. Harlow: Pearson Education Canada, 2019.
W. Chen, Y. Shi, L. Fan, L. Huang, and J. Gao, “Influencing factors of public satisfaction with COVID-19 prevention services based on Structural Equation Modeling (SEM): A study of Nanjing, China,” International Journal of Environmental Research and Public Health, vol. 18, no. 24, pp. 1–18, 2021.
S. Mardiana, J. H. Tjakraatmadja, and A. Aprianingsih, “Validating the conceptual model for predicting intention to use as part of information system success model: The case of an Indonesian government agency,” Procedia Computer Science, vol. 72, pp. 353–360, 2015.
U. Basaran and R. Aksoy, “The effect of perceived value on behavioural intentions,” Journal of Management Marketing and Logistics, vol. 4, no. 1, pp. 1–16, 2017.
N. T. M. Demoulin and S. Djelassi, “An integrated model of Self-Service Technology (SST) usage in a retail context,” International Journal of Retail & Distribution Management, vol. 44, no. 5, pp. 540–559, 2016.
S. H. W. Chuah, P. A. Rauschnabel, M. Marimuthu, R. Thurasamy, and B. Nguyen, “Why do satisfied customers defect? A closer look at the simultaneous effects of switching barriers and inducements on customer loyalty,” Journal of Service Theory and Practice, vol. 27, no. 3, pp. 616–641, 2017.
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