Peran Antropomorfisme dan Keterlibatan Teknologi Terhadap Niat Menggunakan Chatbot dan Niat Berbelanja
DOI:
https://doi.org/10.32534/jv.v19i1.5389Abstract
Minimnya kajian tentang chatbot terutama dilihat dari peran antropomorfisme dan keterlibatan teknologi pelanggan dalam literatur menjadi latar belakang studi ini. Di samping, secara empirik pengelola chatbot memerlukan bagaimana memanfaatkan aspek antropomorfisme dan keterlibatan teknologi pengguna bagi peningkatan kinerja chatbot dalam meningkatkan niat menggunakan chatbot dan niat berbelanja pada e-commerce. Tujuan penelitian ini adalah untuk menguji faktor-faktor yang mempengaruhi niat menggunakan chatbot dan niat berbelanja utamnya dari faktor kegunaan, kenyamanan, sikap, dan kepuasan serta antropomorfisme dan keterlibatan teknologi. Studi ini menggunakan desain kuantitatif melalui survey, dengan melibatkan layanan e-commerce Tokopedia di Indonesia. Terdapat 150 pelanggan yang dipilih melalui teknik purposive sampling sebagai responden. Analisis data dilakukan dengan Structural Equation Model dengan pendekatan Partial Least Square. Temuan studi ini menunjukkan bahwa antropomorfisme dan keterlibatan teknologi berpengaruh positif terhadap kepuasan dan selanjutnya kepuasan berpengaruh positif terhadap niat menggunakan chatbot dan niat berbelanja e-commerce. Studi ini berkontribusi dalam mengkonfirmasi temuan sebelumnya dalam literatur, dan secara empirik memberikan panduan bagaimana meningkatkan peran antropomorfisme dan keterlibatan teknologi dalam meningkatkan kinerja chatbot.
Keywords:
Chatbot, e-commerce, Intensi, Antropomorfisme, keterlibatan teknologi, Theory Planned BahaviorReferences
Abuhassna, H., Al-Rahmi, W. M., Yahya, N., Zakaria, M. A. Z. M., Kosnin, A. B. M., & Darwish, M. (2020). Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-00216-z
Adam, M., Wessel, M., & Benlian, A. (2021). Ai-based Chatbots in Customer Service and Their Effects on User Compliance. Electronic Markets, 31(2), 427–445. https://doi.org/10.1007/s12525-020-00414-7
Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
Al-Sharafi, M. A., Al-Emran, M., Iranmanesh, M., Al-Qaysi, N., Iahad, N. A., & Arpaci, I. (2022). Understanding the Impact of Knowledge Management Factors on the Sustainable Use of Ai-based Chatbots for Educational Purposes Using a Hybrid Sem-ann Approach. Interactive Learning Environments, 5, 1–20. https://doi.org/10.1080/10494820.2022.2075014
Alghiffari, A. P., & Matusin, I. O. (2023). Antecedents of Customer Loyalty on AI Chatbot Users in Banking Applications. Jurnal Pendidikan Tambusai, 7(2), 18915–18927. https://doi.org/10.31004/jptam.v7i2.9380
Ambalov, I. A. (2021). Decomposition of perceived usefulness: A theoretical perspective and empirical test. Technology in Society, 64(2), 101520. https://doi.org/10.1016/j.techsoc.2020.101520
Andrade, C. (2021). The Inconvenient Truth About Convenience and Purposive Samples. Indian Journal of Psychological Medicine, 43(1), 86–88. https://doi.org/10.1177/0253717620977000
Aryani, P., & Riorini, S. V. (2023). Anteseden Dan Konsekuensi Kepercayaan Awal Terhadap Chatbot. Jurnal Ilmiah Wahana Pendidikan, 9(18), 565–577. https://doi.org/10.5281/zenodo.8321904
As-syiva, M. H., & Nasution, M. I. P. (2019). Analisis peran chatbot dalam meningkatkan pelayanan terhadap konsumen di e-commerce. Kohesi: Jurnal Multidisiplin Saintek, 2(11), 71–80.
Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, Chatbot: Modeling the Determinants of Users’ Satisfaction and Continuance Intention of Ai-powered Service Agents. Telematics and Informatics, 54(11), 101473. https://doi.org/10.1016/j.tele.2020.101473
Badan Pusat Statistik. (2023). Jumlah Penduduk Menurut Jenis Kelamin dan Kabupaten/Kota Provinsi Jawa Timur. Badan Pusat Statistik.
Borsci, S., Malizia, A., Schmettow, M., Velde, F., Tariverdiyeva, G., Balaji, D., & Chamberlain, A. (2021). The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents. Personal and Ubiquitous Computing, 26(7), 95–119. https://doi.org/10.1007/s00779-021-01582-9.
Christoforakos, L., & Diefenbach, S. (2023). Technology as a Social Companion? An Exploration of Individual and Product-Related Factors of Anthropomorphism. Social Science Computer Review, 41(3), 1039–1062. https://doi.org/10.1177/08944393211065867
Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot E-service and Customer Satisfaction Regarding Luxury Brands. Journal of Business Research, 117(11), 587–595. https://doi.org/10.1016/j.jbusres.2018.10.004
De Cicco, R., e Silva, S. C., & Alparone, F. R. (2020). Millennials’ Attitude Toward Chatbots: an Experimental Study in a Social Relationship Perspective. International Journal of Retail and Distribution Management, 48(11), 1213–1233. https://doi.org/10.1108/IJRDM-12-2019-0406
de Cosmo, L. M., Piper, L., & Di Vittorio, A. (2021). The Role of Attitude Toward Chatbots and Privacy Concern on the Relationship Between Attitude Toward Mobile Advertising and Behavioral Intent to Use Chatbots. Italian Journal of Marketing, 2021(1–2), 83–102. https://doi.org/10.1007/s43039-021-00020-1
Debora, Z., Massimiliano, P., A., C., & JeremyGoslin. (2020). Generalisation of Anthropomorphic Stereotype. Nternational Journal of Social Robotics, 12(4), 163–172.
Elshami, W., Taha, M. H., Abuzaid, M., Saravanan, C., Al Kawas, S., & Abdalla, M. E. (2021). Satisfaction with online learning in the new normal: perspective of students and faculty at medical and health sciences colleges. Medical Education Online, 26(1). https://doi.org/10.1080/10872981.2021.1920090
Fan, C. W., Chen, I. H., Ko, N. Y., Yen, C. F., Lin, C. Y., Griffiths, M. D., & Pakpour, A. H. (2021). Extended theory of planned behavior in explaining the intention to COVID-19 vaccination uptake among mainland Chinese university students: an online survey study. Human Vaccines and Immunotherapeutics, 17(10), 3413–3420. https://doi.org/10.1080/21645515.2021.1933687
Fonseka, K., Jaharadak, A. A., & Raman, M. (2022). Impact of E-commerce Adoption on Business Performance of SMEs in Sri Lanka; Moderating Role of Artificial Intelligence. International Journal of Social Economics, 49(10), 1518–1531. https://doi.org/10.1108/IJSE-12-2021-0752
Hair, J., Ringle, C., Hult, G. T. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling. In Researchgate (Vol. 46, Issues 1–2). https://doi.org/10.1016/j.lrp.2013.01.002
Han, M. C. (2021). The Impact of Anthropomorphism on Consumers Purchase Decision in Chatbot Commerce. Journal of Internet Commerce, 20(1), 46–65. https://doi.org/10.1080/15332861.2020.1863022
Hsiao, K.-L., & Chen, C.-C. (2021). What drives continuance intention to use a food-ordering chatbot? An examination of trust and satisfaction. Libr. Hi Tech, 40(8), 929–946. https://doi.org/10.1108/lht-08-2021-0274.
Huang, D. H., & Chueh, H. E. (2021). Chatbot Usage Intention Analysis: Veterinary Consultation. Journal of Innovation and Knowledge, 6(3), 135–144. https://doi.org/10.1016/j.jik.2020.09.002
Jebarajakirthy, C., & Shankar, A. (2021). Impact of online convenience on mobile banking adoption intention: A moderated mediation approach. Journal of Retailing and Consumer Services, 58(1), 102323. https://doi.org/10.1016/j.jretconser.2020.102323
Jiang, T., Guo, Q., Wei, Y., Cheng, Q., & Lu, W. (2022). Investigating the relationships between dialog patterns and user satisfaction in customer service chat systems based on chat log analysis. Journal of Information Science, 0(0), 01655515221124066. https://doi.org/10.1177/01655515221124066
Johan, S, I., Indriyani, R., & Vinc?vi?a-Gaile, Z (2020). Measuring Repurchase Intention on Fashion Online Shopping. Doctoral Dissertation, SHS Web of Conferences, 76. https://doi.org/10.1051/shsconf/20207601015
Kasilingam, D. L. (2020). Understanding the Attitude and Intention to Use Smartphone Chatbots for Shopping. Technology in Society, 62(8), 101280. https://doi.org/10.1016/j.techsoc.2020.101280
Kim, S., Haley, E., & Lee, Y. J. (2008). Does consumers’ product-related involvement matter when it comes to corporate ads? Journal of Current Issues and Research in Advertising, 30(2), 37–48. https://doi.org/10.1080/10641734.2008.10505246
Kominfo (2023). Kemkominfo: Pertumbuhan e-Commerce Indonesia Capai 78 Persen. Kominfo.go.id. Retrieved from https://www.kominfo.go.id/content/detail/16770/kemkominfo-pertumbuhan-e-commerce-indonesiacapai-78-persen/0/sorotan_media
Li, L., Lee, K. Y., Emokpae, E., & Yang, S.-B. (2021). What Makes You Continuously Use Chatbot Services? Evidence From Chinese Online Travel Agencies. Emerald, 31(1), 579–599. https://doi.org/10.1007/s12525-020-00454-z/Published
Min, W., Lin-Lin, S., & Junmin, H. (2021). How Emotional Interaction Affects Purchase Intention in Social Commerce: The Role of Perceived Usefulness and Product Type. Psychology Research and Behavior Management, 14(4), 467–481. https://doi.org/10.2147/PRBM.S301286.
Morgan-Thomas, A., Dessart, L., & Veloutsou, C. (2020). Digital ecosystem and consumer engagement: A socio-technical perspective. Journal of Business Research, 121(April), 713–723. https://doi.org/10.1016/j.jbusres.2020.03.042
Moriuchi, E., Landers, V. M., Colton, D., & Hair, N. (2021). Engagement With Chatbots Versus Augmented Reality Interactive Technology in E-commerce. Journal of Strategic Marketing, 29(5), 375–389. https://doi.org/10.1080/0965254X.2020.1740766
Nguyen, D., Chiu, Y., & Le, H. (2021). Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development. Sustainability, 13(14), 7625. https://doi.org/10.3390/SU13147625
Nugraha, Y., Masnita, Y., & Kurniawati, K. (2022). Peran Responsiveness Chatbot Artificial Intelligence Dalam Membentuk Customer Satisfaction. Jurnal Manajemen Dan Bisnis Sriwijaya, 20(3), 143–158. https://doi.org/10.29259/jmbs.v20i3.18528
Putri, V. P. (2024). Predicting Switching Intention Among Generation Z ( Study on Shopee App ). VALUE: Jurnal Manajemen Dan Akuntansi, 19(1), 1–20. https://doi.org/10.32534/jv.v19i1.4992
Rasoolimanesh, S. . (2022). Discriminant Validity Assessment In PLS-SEM: A Comprehensive Composite-Based Approach. Data Analysis Perspectives Journal, 3(2), 1–8. Retrieved from https://www.researchgate.net/profile/S-Mostafa-Rasoolimanesh/publication/356961783_Discriminant_validity_assessment_in_PLS-SEM_A_comprehensive_composite-based_approach/links/61b465e31d88475981dfde95/Discriminant-validity-assessment-in-PLS-SEM-A-comprehens
Saha., S., Duarte., P., Silva., S., & Zhuang., G. (2021). Supporting sustainability by promoting online purchase through enhancement of online convenience. Environment, Development and Sustainbility, 23(8), 7251–7272. https://doi.org/10.1007/s10668-020-00915-7
Selamat, M. A., & Windasari, N. A. (2021). Chatbot for SMEs: Integrating Customer and Business Owner Perspectives. Technology in Society, 66(8), 101685. https://doi.org/10.1016/j.techsoc.2021.101685
Soares, A.M., Camacho, C., Elmashhara, M.G. (2022). The Impact of Chatbots on Purchase Intention. World Conference on Information Systems and Technologies, 470(5), 462–472. https://doi.org/10.1007/978-3-031-04829-6_41
Su, Y., Zhu, Z., Chen, J., Jin, Y., Wang, T., Lin, C.-L., & Xu, D. (2021). Factors influencing entrepreneurial intention of university students in china: Integrating the perceived university support and theory of planed behavior. Sustainability, 13(8), 1–17. https://doi.org/10.3390/su13084519
Sutoyo, R., Chowanda, A., Agnes, K., & Wongso, R. (2019). Designing an Emotionally Realistic Chatbot Framework to Enhance Its Believability with AIML and Information States. Procedia Computer Science, 157(2019), 621. https://doi.org/10.1016/j.procs.2019.08.226
Suttikun, C., & Meeprom, S. (2021). Examining the Effect of Perceived Quality of Authentic Souvenir Product, Perceived Value, and Satisfaction on Customer Loyalty. Cogent Business and Management, 8(1), 1976468. https://doi.org/10.1080/23311975.2021.1976468
Vapiwala, F., & Pandita, D. (2022). Analyzing the Application of Artificial Intelligence for E-Commerce Customer Engagement. 2022 International Conference on Data Analytics for Business and Industry (ICDABI), 10, 423–427. https://doi.org/10.1109/ICDABI56818.2022.10041655
Wan., E., & Chen., R. (2020). Anthropomorphism and object attachment. Current Opinion in Psychology, 39(6), 88–93. https://doi.org/10.1016/j.copsyc.2020.08.009.
Wiguna, M. R. G., Yasriandi, R., & ... (2023). Analisis Penerimaan Chatbot untuk Administrasi Pendidikan Dasar Menggunakan Model TAM dan UTAUT Termodifikasi (Studi kasus: SDN 4 Surade). EProceedings …, 10(2), 2031–2038. https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/20060%0Ahttps://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/20060/19425
Williams., L., Brosnan., S., & Clay., Z. (2020). Anthropomorphism in comparative affective science: Advocating a mindful approach. Neuroscience & Biobehavioral Reviews, 115(8), 299–307. https://doi.org/10.1016/j.neubiorev.2020.05.014
Yuan, L. (Ivy), & Dennis, A. R. (2019). Acting Like Humans? Anthropomorphism and Consumer’s Willingness to Pay in Electronic Commerce. Journal of Management Information Systems, 36(2), 450–477. https://doi.org/10.1080/07421222.2019.1598691
Yun, J., & Park, J. (2022). The Effects of Chatbot Service Recovery With Emotion Words on Customer Satisfaction, Repurchase Intention, and Positive Word-Of-Mouth. Frontiers in Psychology, 13(5), 922503. https://doi.org/10.3389/fpsyg.2022.922503
Yuriev, A., Dahmen, M., Paillé, P., Boiral, O., & Guillaumie, L. (2020). Pro-environmental behaviors through the lens of the theory of planned behavior: A scoping review. Resources, Conservation and Recycling, 155(December 2019). https://doi.org/10.1016/j.resconrec.2019.104660