Main Article Content
Abstract
Mutual funds are a means used to collect funds from investors, which are then managed and invested into a portfolio of securities by investment managers under the supervision of the Financial Services Authority (OJK). This investment instrument is also considered suitable for beginners, especially in assisting with efficient and effective financial planning. Currently, there are many mutual fund applications available to facilitate investors, one of which is the BIBIT application.
This study aims to analyze how the features of the BIBIT application influence users' intention to invest through the application. The research was conducted by distributing online questionnaires via various social media platforms targeting BIBIT application users. The sampling technique used was purposive sampling. The collected data were then analyzed using PLS software for data processing.
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References
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- Ali, E. (2014). The ranking and comparison of closed-ended mutual funds' performance with open-ended mutual funds: Evidence from the Pakistan mutual funds industry.
- Alqahtani, A., & Alzahrani, A. (2020). Privacy issues in mobile applications: Requirements, challenges, and solutions.
- Ariescha. (2021). Analisis kepuasan pengguna aplikasi Bibit reksadana menggunakan metode EUCS dan IPA.
- Bibit. (2022, October 19). Jumlah investor reksa dana naik 32,9%, ini saatnya mulai investasi! Retrieved from https://artikel.bibit.id/investasi1/jumlah-investor-naik
- Bibit. (2022, September 24). Tahukah kamu Bibit itu punya siapa? Retrieved from https://artikel.bibit.id/investasi1/tahukah-kamu-bibit-itu-punya-siapa
- Bogle, J. C. (2004). Common sense on mutual funds: New imperatives for the intelligent investor. New York: John Wiley & Sons.
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- Casalicchio, E. (2016). Autonomic orchestration of containers: Problem definition and research challenges.
- Chaitanya, C., & Gupta, D. (2017). Factors influencing customer satisfaction with usage of shopping apps in India.
- Chellappa, R. K., & Pavlou, P. A. (2002). Perceived information security, financial liability, and consumer trust in electronic commerce transactions.
- Chen, S.-C. (2011). Recent related research in the Technology Acceptance Model: A literature review.
- Chen, S.-C., Lin, S.-H., & Lee, C.-Y. (2011). Recent related research in the Technology Acceptance Model: A literature review.
- Davis, F. D., Venkatesh, V., & Morris, M. G. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
- Dewi, P. A., & Warmika, I. G. (2021). Peran e-trust dalam memediasi pengaruh fitur robo terhadap keputusan investasi.
- Ferrinadewi, E. (2008). Merek dan psikologi konsumen. Yogyakarta: Graha Ilmu.
- Flavian, C., & Guinaliu, M. (2006). Consumer trust, perceived security, and privacy policy: Three basic elements of loyalty to a website. Industrial Management & Data Systems, 106(5), 601–620.
- Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. E-Service Journal, 2(2), 7–24.
- Ghozali, I. (2016). Aplikasi analisis multivariate dengan program IBM SPSS 23 (Edisi 8). Semarang: Badan Penerbit Universitas Diponegoro.
- Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25. Semarang: Badan Penerbit Universitas Diponegoro.
- Ha, S., & Stoel, L. (2008). Consumer e-shopping acceptance: Antecedents in a Technology Acceptance Model. Journal of Business Research, 62(5), 565–571.
- Hassenzahl, M., & Tractinsky, N. (2006). User experience—A research agenda. Behaviour & Information Technology, 25(2), 91–97.
- Herman. (2016). Evaluasi pengalaman pengguna pada aplikasi mobile e-commerce di Indonesia dengan menggunakan UX Honeycomb.
- Huang, H., & Lai, H. (2007). Factors influencing the usability of icons in the LCD touchscreen. Displays, 28(1), 2–8.
- Jamshidi, M., & Hussin, A. (2014). Pengaruh perceived ease of use, perceived usefulness, dan trust terhadap intention to use.
- Lee, S. M., & Lee, D. (2020). “Untact”: A new customer service strategy in the digital age. Service Business, 14(1), 1–22.
- Li, R. (2013). Antecedents of Chinese consumers’ adoption of online auctions: An extended TAM study. Journal of Retailing and Consumer Services, 20(4), 400–408.
- Lowry, P. B., Vance, A., Moody, G., Beckman, B., & Read, A. (2008). Explaining and predicting the impact of branding alliances and website quality on initial consumer trust of e-commerce websites. Decision Support Systems, 46(2), 566–582.
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- Muchson, M. (2017). Statistik deskriptif. Bogor: Guepedia.
- Murwatiningsih, & Apriliani, E. P. (2013). Apakah kepercayaan konsumen lebih efektif daripada risiko dan harga?
- Otoritas Jasa Keuangan. (2017). Pengelolaan investasi. Retrieved from https://www.ojk.go.id/id/kanal/pasar-modal/pages/pengelolaan-investasi.aspx
- Panjaitan, A., Rofiaty, & Sujanto. (2016). Pengaruh pengalaman merek terhadap loyalitas merek melalui mediasi kepuasan merek dan kepercayaan merek.
- Pantouw, R. T., & Aruan, D. T. (2019). Influence of game design and playability toward continuance intention using TAM framework.
- Pappas, I. O., Giannakos, M. N., & Chrissikopoulos, V. (2012). Personalized services in online shopping: Enjoyment and privacy. Information & Management, 49(6), 285–291.
- Polak, P., & Hernes, M. (2020). Exploring the determinants of customer satisfaction with mobile application customer service. Procedia Computer Science, 176, 1480–1489.
- Porcheron, D., & Ladner, R. (2017). Mobile application interface design patterns.
- Putri, H. H., Singasatia, D., & Sunandar, M. (2022). Analisis faktor yang memengaruhi penerimaan teknologi pada pengguna aplikasi Shopee menggunakan Technology Acceptance Model (TAM).
- Rizki, F., Fithriani, N., & Putri, R. (2020). Evaluation of robo advisor application Bibit using machine learning algorithm.
- Roca, J. C., & García, J. J. (2009). The importance of perceived trust, security, and privacy in online trading systems. Information Management & Computer Security, 17(2), 96–113.
- Sidabutar, C., Dharmayanti, D., & Siwalanker, J. (2015). Analisa pengaruh brand experience terhadap customer loyalty melalui brand trust, customer satisfaction, dan customer intimacy pada Kiehl’s Surabaya.
- Sulistiyawati, U. (2022). E-relationship satisfaction dan e-loyalty ditinjau dari peran privacy security settings, application design dan e-trust.
- Valencia, D. C., Arias, A. V., Brian, L., Benjumea, M., & Valencia, J. (2019). Analysis of e-commerce acceptance using the Technology Acceptance Model. International Journal of Information Management, 47, 215–223.
- Venkatesh, V., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
- Vredenburg, K., Mao, J. Y., Smith, P. W., & Carey, T. (2002). The Technology Acceptance Model and the World Wide Web. International Journal of Information Management, 22(2), 107–122.
- Wang, Y., Liu, L., Yao, T., & Liu, Z. (2018). Exploring the determinants of trust in medical technology: An empirical study in China. Technological Forecasting and Social Change, 126, 84–91.
- Yadav, R., & Pathak, G. S. (2017). Determinants of consumers’ green purchase behavior in a developing nation: Applying and extending the theory of planned behavior. Ecological Economics, 134, 114–122.
References
Aaker, D. (2015). Aaker on branding: 20 principles that drive success. Jakarta: PT Gramedia Pustaka Utama.
Ali, E. (2014). The ranking and comparison of closed-ended mutual funds' performance with open-ended mutual funds: Evidence from the Pakistan mutual funds industry.
Alqahtani, A., & Alzahrani, A. (2020). Privacy issues in mobile applications: Requirements, challenges, and solutions.
Ariescha. (2021). Analisis kepuasan pengguna aplikasi Bibit reksadana menggunakan metode EUCS dan IPA.
Bibit. (2022, October 19). Jumlah investor reksa dana naik 32,9%, ini saatnya mulai investasi! Retrieved from https://artikel.bibit.id/investasi1/jumlah-investor-naik
Bibit. (2022, September 24). Tahukah kamu Bibit itu punya siapa? Retrieved from https://artikel.bibit.id/investasi1/tahukah-kamu-bibit-itu-punya-siapa
Bogle, J. C. (2004). Common sense on mutual funds: New imperatives for the intelligent investor. New York: John Wiley & Sons.
Bursa Efek Indonesia. (2022). Reksa dana. Retrieved from https://www.idx.co.id/id/produk/reksa-dana
Casalicchio, E. (2016). Autonomic orchestration of containers: Problem definition and research challenges.
Chaitanya, C., & Gupta, D. (2017). Factors influencing customer satisfaction with usage of shopping apps in India.
Chellappa, R. K., & Pavlou, P. A. (2002). Perceived information security, financial liability, and consumer trust in electronic commerce transactions.
Chen, S.-C. (2011). Recent related research in the Technology Acceptance Model: A literature review.
Chen, S.-C., Lin, S.-H., & Lee, C.-Y. (2011). Recent related research in the Technology Acceptance Model: A literature review.
Davis, F. D., Venkatesh, V., & Morris, M. G. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Dewi, P. A., & Warmika, I. G. (2021). Peran e-trust dalam memediasi pengaruh fitur robo terhadap keputusan investasi.
Ferrinadewi, E. (2008). Merek dan psikologi konsumen. Yogyakarta: Graha Ilmu.
Flavian, C., & Guinaliu, M. (2006). Consumer trust, perceived security, and privacy policy: Three basic elements of loyalty to a website. Industrial Management & Data Systems, 106(5), 601–620.
Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. E-Service Journal, 2(2), 7–24.
Ghozali, I. (2016). Aplikasi analisis multivariate dengan program IBM SPSS 23 (Edisi 8). Semarang: Badan Penerbit Universitas Diponegoro.
Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25. Semarang: Badan Penerbit Universitas Diponegoro.
Ha, S., & Stoel, L. (2008). Consumer e-shopping acceptance: Antecedents in a Technology Acceptance Model. Journal of Business Research, 62(5), 565–571.
Hassenzahl, M., & Tractinsky, N. (2006). User experience—A research agenda. Behaviour & Information Technology, 25(2), 91–97.
Herman. (2016). Evaluasi pengalaman pengguna pada aplikasi mobile e-commerce di Indonesia dengan menggunakan UX Honeycomb.
Huang, H., & Lai, H. (2007). Factors influencing the usability of icons in the LCD touchscreen. Displays, 28(1), 2–8.
Jamshidi, M., & Hussin, A. (2014). Pengaruh perceived ease of use, perceived usefulness, dan trust terhadap intention to use.
Lee, S. M., & Lee, D. (2020). “Untact”: A new customer service strategy in the digital age. Service Business, 14(1), 1–22.
Li, R. (2013). Antecedents of Chinese consumers’ adoption of online auctions: An extended TAM study. Journal of Retailing and Consumer Services, 20(4), 400–408.
Lowry, P. B., Vance, A., Moody, G., Beckman, B., & Read, A. (2008). Explaining and predicting the impact of branding alliances and website quality on initial consumer trust of e-commerce websites. Decision Support Systems, 46(2), 566–582.
Maroofi, F., & Omar, R. (2013). Determinants of trust in technology acceptance: A study of online trading in Malaysia.
Muchson, M. (2017). Statistik deskriptif. Bogor: Guepedia.
Murwatiningsih, & Apriliani, E. P. (2013). Apakah kepercayaan konsumen lebih efektif daripada risiko dan harga?
Otoritas Jasa Keuangan. (2017). Pengelolaan investasi. Retrieved from https://www.ojk.go.id/id/kanal/pasar-modal/pages/pengelolaan-investasi.aspx
Panjaitan, A., Rofiaty, & Sujanto. (2016). Pengaruh pengalaman merek terhadap loyalitas merek melalui mediasi kepuasan merek dan kepercayaan merek.
Pantouw, R. T., & Aruan, D. T. (2019). Influence of game design and playability toward continuance intention using TAM framework.
Pappas, I. O., Giannakos, M. N., & Chrissikopoulos, V. (2012). Personalized services in online shopping: Enjoyment and privacy. Information & Management, 49(6), 285–291.
Polak, P., & Hernes, M. (2020). Exploring the determinants of customer satisfaction with mobile application customer service. Procedia Computer Science, 176, 1480–1489.
Porcheron, D., & Ladner, R. (2017). Mobile application interface design patterns.
Putri, H. H., Singasatia, D., & Sunandar, M. (2022). Analisis faktor yang memengaruhi penerimaan teknologi pada pengguna aplikasi Shopee menggunakan Technology Acceptance Model (TAM).
Rizki, F., Fithriani, N., & Putri, R. (2020). Evaluation of robo advisor application Bibit using machine learning algorithm.
Roca, J. C., & García, J. J. (2009). The importance of perceived trust, security, and privacy in online trading systems. Information Management & Computer Security, 17(2), 96–113.
Sidabutar, C., Dharmayanti, D., & Siwalanker, J. (2015). Analisa pengaruh brand experience terhadap customer loyalty melalui brand trust, customer satisfaction, dan customer intimacy pada Kiehl’s Surabaya.
Sulistiyawati, U. (2022). E-relationship satisfaction dan e-loyalty ditinjau dari peran privacy security settings, application design dan e-trust.
Valencia, D. C., Arias, A. V., Brian, L., Benjumea, M., & Valencia, J. (2019). Analysis of e-commerce acceptance using the Technology Acceptance Model. International Journal of Information Management, 47, 215–223.
Venkatesh, V., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Vredenburg, K., Mao, J. Y., Smith, P. W., & Carey, T. (2002). The Technology Acceptance Model and the World Wide Web. International Journal of Information Management, 22(2), 107–122.
Wang, Y., Liu, L., Yao, T., & Liu, Z. (2018). Exploring the determinants of trust in medical technology: An empirical study in China. Technological Forecasting and Social Change, 126, 84–91.
Yadav, R., & Pathak, G. S. (2017). Determinants of consumers’ green purchase behavior in a developing nation: Applying and extending the theory of planned behavior. Ecological Economics, 134, 114–122.