Determinan Intensi Penggunaan dan Advokasi Merek Pada Generasi Z di Jabodetabek: Investigasi Pada Aplikasi Bibit
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Abstract
Penelitian ini dilatarbelakangi oleh semakin pesatnya perkembangan aplikasi dan penggunanya, tidak terkecuali Bibit. Di masa COVID-19 sendiri, penggunaan aplikasi ini sendiri telah mengalami pertumbuhan yang signifikan, khususnya dalam menargetkan pengguna dari kalangan muda seperti generasi Z. Terbntuknya kesadaran untuk melakukan investasi seperti pada reksadana juga turut mendukug pertumbuhan penggunaan aplikasi ini. Berdasarkan hal ini, penelitian ini bertujuan untuk menganalisis intensi penggunaan Bibit dan tindakan untuk melakukan advokasi pada merek Bibit itu sendiri. PLS-SEM dan alat analisis SmartPLS digunakan pada penelitian untuk menganalisis 230 responden generasi Z yang berdomisi di Jabodetabek. Hasil penelitian ini menjelaskan bahwa aspek kemudahan penggunaan lebih dominan membentuk pengaruh penggunaan intensi penggunaan aplikasi Bibit. Selain itu, intensi penggunaan aplikasi Bibit ini sendiri dapat membentuk intensi melakukan advokasi merek Bibit itu sendiri. Keterbatasan yang ada dalam penelitian ini yaitu penggunaan kelompok responden yang hanya melibatkan satu generasi saja. Sedangkan area penelitian dapat diperluas untuk penelitian berikutnya
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
LPPM Politeknik Piksi Ganesha Indonesia
How to Cite
Christian, M., Fensi, F., & Arifin, P. (2023). Determinan Intensi Penggunaan dan Advokasi Merek Pada Generasi Z di Jabodetabek: Investigasi Pada Aplikasi Bibit . Jurnal E-Bis, 7(2), 472-485. https://doi.org/10.37339/e-bis.v7i2.1182
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Cheng, Y. (2011). The Comparison of Three Major Occupations for User Acceptance of Information Technology: Applying the UTAUT Model. IBusiness, 03, 147–158. https://doi.org/10.4236/ib.2011.32021
Christian, M., & Agung, H. (2020). Urban Consumer Behavior On Buying Multi-Products On ShopeeUsing Technology Acceptance Model(TAM). Widyakala Journal, 7(2), 54–60. https://doi.org/10.36262/widyakala.v7i2.337
Christian, M., Haris, K., Indriyarti, E. R., Wibowo, S., & Sunarno, S. (2021). Service Distribution Strategy on Business Performance of Padang Restaurants in North Jakarta. Journal of Distribution Science, 19(12), 57–69. https://doi.org/10.15722/jds.19.12.202112.57
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Christian, M., Yulita, H., Girsang, L. R., Wibowo, S., Indriyarti, E. R., & Sunarno, S. (2023). The Impact of Cashless Payment in Application-Based Transportation on Gen Z User Behavior in Jakarta. 2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD), 1–6. https://doi.org/10.1109/ITIKD56332.2023.10100198
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Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
Hur, H. J., Lee, H. K., & Choo, H. J. (2017). Understanding usage intention in innovative mobile app service: Comparison between millennial and mature consumers. Computers in Human Behavior, 73, 353–361. https://doi.org/https://doi.org/10.1016/j.chb.2017.03.051
Indriyarti, E. R., Christian, M., Yulita, H., Aryati, T., & Arsjah, R. J. (2023). Digital Bank Channel Distribution: Predictors of Usage Attitudes in Jakarta’s Gen Z. Journal of Distribution Science, 21(2), 21–34. https://doi.org/10.15722/jds.21.02.202302.21
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Kim, D., & Chang, H. (2007). Key functional characteristics in designing and operating health information websites for user satisfaction: an application of the extended technology acceptance model. International Journal of Medical Informatics, 76(11–12), 790–800. https://doi.org/10.1016/j.ijmedinf.2006.09.001
Kim, S. C., Yoon, D., & Han, E. K. (2016). Antecedents of mobile app usage among smartphone users. Journal of Marketing Communications, 22(6), 653–670. https://doi.org/10.1080/13527266.2014.951065
Lee, S. (Ally). (2018). Enhancing customers’ continued mobile app use in the service industry. Journal of Services Marketing, 32(6), 680–691. https://doi.org/10.1108/JSM-01-2017-0015
Lu, X., Zhang, R., & Zhu, X. (2019). An Empirical Study on Patients’ Acceptance of Physician-Patient Interaction in Online Health Communities. International Journal of Environmental Research and Public Health, 16(24). https://doi.org/10.3390/ijerph16245084
Mangkunegara, C. N., Azzahro, F., & Handayani, P. W. (2018). Analysis of Factors Affecting User’s Intention in Using Mobile Health Application: A Case Study of Halodoc. 2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 87–92. https://doi.org/10.1109/ICACSIS.2018.8618174
Martins, C., Oliveira, T., & Popovi?, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2013.06.002
Memon, A. H., & Rahman, I. A. (2014). SEM-PLS Analysis of Inhibiting Factors of Cost Performance for Large Construction Projects in Malaysia: Perspective of Clients and Consultants. The Scientific World Journal, 2014(165158), 1–9. https://doi.org/10.1155/2014/165158
Memon, M. A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample Size for Survey Research: Review and Recommendations. Journal of Applied Structural Equation Modeling, 4(2), i–xx. https://doi.org/10.47263/JASEM.4(2)01
Morosan, C., & DeFranco, A. (2016). Modeling guests’ intentions to use mobile apps in hotels. International Journal of Contemporary Hospitality Management, 28(9), 1968–1991. https://doi.org/10.1108/IJCHM-07-2015-0349
Olaleye, S. A., Salo, J., Sanusi, I. T., & Okunoye, A. O. (2018). Retailing Mobile App Usefulness: Customer Perception of Performance, Trust and Tension Free. International Journal of E-Services and Mobile Applications (IJESMA), 10(4), 1–17. https://doi.org/10.4018/IJESMA.2018100101
Otache, I. (2019). The mediating effect of teamwork on the relationship between strategic orientation and performance of Nigerian banks. European Business Review, 31(5), 744–760. https://doi.org/10.1108/EBR-10-2017-0183
Pariela, M. V. G. (2018). Wanprestasi Manajer Investasi Terhadap Investor Reksadana. SASI; Vol 23, No 2 (2017): Volume 23 Nomor 2, Juli - Desember 2017. https://doi.org/10.47268/sasi.v23i2.100
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Susanto, T. D., & Aljoza, M. (2015). Individual Acceptance of e-Government Services in a Developing Country: Dimensions of Perceived Usefulness and Perceived Ease of Use and the Importance of Trust and Social Influence. Procedia Computer Science, 72, 622–629. https://doi.org/10.1016/j.procs.2015.12.171
Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2020). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187–197. https://doi.org/10.1016/j.ausmj.2020.01.002
Venkatesh, V., M. (2003). User acceptance of information technology?: toward a unified view. MIS Quarterly, 27(3), 425–478.
Veríssimo, J. M. C. (2018). Usage intensity of mobile medical apps: A tale of two methods. Journal of Business Research, 89, 442–447. https://doi.org/https://doi.org/10.1016/j.jbusres.2017.12.026
Wibowo, S., Christian, M., Sunarno, S., & Yuniarto, Y. (2022). Determinants of Stress Recognition and Job Satisfaction in Hospitals For Health Professionals in Indonesia. Journal of Industrial Engineering and Management Systems, 15(1), 26–34. https://doi.org/10.30813/jiems.v15i1.3601
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237
Yee, T., Lim, C. S., & Wong, S. C. (2019). Patient’s Intention to Use Mobile Health App. Journal of Management Research, 11, 18. https://doi.org/10.5296/jmr.v11i3.14776
Yulita, H., Christian, M., & Fensi, F. (2022). Aspek Informatifitas, Hiburan, Iritasi, Kredibilitas, Nilai dan Pengukuran Sikap Pada Iklan COVID-19 di Kanal YouTube. Jurnal E-Bis, 6(2), 386–395. https://doi.org/10.37339/e-bis.v6i2.979
Ali, G. A., Hilman, H., & Gorondutse, A. H. (2020). Effect of entrepreneurial orientation, market orientation and total quality management on performance Evidence from Saudi SMEs. Benchmarking: An International Journal, 27(4), 1503–1531. https://doi.org/10.1108/BIJ-08-2019-0391
Alkhateeb, F. M., & Doucette, W. R. (2009). Influences on physicians’ adoption of electronic detailing (e-detailing). Informatics for Health & Social Care, 34(1), 39–52. https://doi.org/10.1080/17538150902779402
Arifin, E. S. (2017). Kinerja Reksadana Saham Syariah di Indonesia. Jurnal Ekonomi Dan Bisnis, 17(1), 82–86. https://doi.org/10.30811/.v17i1.363
Borrero, J. D., Yousafzai, S. Y., Javed, U., & Page, K. L. (2014). Expressive participation in Internet social movements: Testing the moderating effect of technology readiness and sex on student SNS use. Computers in Human Behavior, 30, 39–49. https://doi.org/https://doi.org/10.1016/j.chb.2013.07.032
Cheng, Y. (2011). The Comparison of Three Major Occupations for User Acceptance of Information Technology: Applying the UTAUT Model. IBusiness, 03, 147–158. https://doi.org/10.4236/ib.2011.32021
Christian, M., & Agung, H. (2020). Urban Consumer Behavior On Buying Multi-Products On ShopeeUsing Technology Acceptance Model(TAM). Widyakala Journal, 7(2), 54–60. https://doi.org/10.36262/widyakala.v7i2.337
Christian, M., Haris, K., Indriyarti, E. R., Wibowo, S., & Sunarno, S. (2021). Service Distribution Strategy on Business Performance of Padang Restaurants in North Jakarta. Journal of Distribution Science, 19(12), 57–69. https://doi.org/10.15722/jds.19.12.202112.57
Christian, M., & Justinius, J. (2021). Identifying Determinants of Competitive Advantage for Ayam Geprek Business in Jakarta During the Pandemic Covid-19. Journal of Business & Applied Management, 14(1), 83–98. https://doi.org/10.30813/jbam.v14i1.2712
Christian, M., Wibowo, S., Sunarno, S., Melati, R., & Perdini, F. T. (2023). Generation Z’s Determinants for Using Online Food Delivery in Jakarta. Widyakala Journal, 10(1), 1–10. https://doi.org/10.36262/widyakala.v10i1.701
Christian, M., Yulita, H., Girsang, L. R., Wibowo, S., Indriyarti, E. R., & Sunarno, S. (2023). The Impact of Cashless Payment in Application-Based Transportation on Gen Z User Behavior in Jakarta. 2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD), 1–6. https://doi.org/10.1109/ITIKD56332.2023.10100198
Davis, F. (1985). A Technology Acceptance Model for Empirically Testing New End-User Information Systems.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Gagnon, M.-P., Nsangou, É.-R., Payne-Gagnon, J., Grenier, S., & Sicotte, C. (2014). Barriers and facilitators to implementing electronic prescription: a systematic review of user groups’ perceptions. J Am Med Inform Assoc, 21(3), 535–541. https://doi.org/10.1136/amiajnl-2013-002203
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
Hur, H. J., Lee, H. K., & Choo, H. J. (2017). Understanding usage intention in innovative mobile app service: Comparison between millennial and mature consumers. Computers in Human Behavior, 73, 353–361. https://doi.org/https://doi.org/10.1016/j.chb.2017.03.051
Indriyarti, E. R., Christian, M., Yulita, H., Aryati, T., & Arsjah, R. J. (2023). Digital Bank Channel Distribution: Predictors of Usage Attitudes in Jakarta’s Gen Z. Journal of Distribution Science, 21(2), 21–34. https://doi.org/10.15722/jds.21.02.202302.21
Indriyarti, E. R., Christian, M., Yulita, H., Ruminda, M., Sunarno, S., & Wibowo, S. (2022). Online Food Delivery App Distribution and Determinants of Jakarta’s Gen Z Spending Habits. Journal of Distribution Science, 20(7), 73–86. https://doi.org/10.15722/jds.20.07.202207.73
Kim, D., & Chang, H. (2007). Key functional characteristics in designing and operating health information websites for user satisfaction: an application of the extended technology acceptance model. International Journal of Medical Informatics, 76(11–12), 790–800. https://doi.org/10.1016/j.ijmedinf.2006.09.001
Kim, S. C., Yoon, D., & Han, E. K. (2016). Antecedents of mobile app usage among smartphone users. Journal of Marketing Communications, 22(6), 653–670. https://doi.org/10.1080/13527266.2014.951065
Lee, S. (Ally). (2018). Enhancing customers’ continued mobile app use in the service industry. Journal of Services Marketing, 32(6), 680–691. https://doi.org/10.1108/JSM-01-2017-0015
Lu, X., Zhang, R., & Zhu, X. (2019). An Empirical Study on Patients’ Acceptance of Physician-Patient Interaction in Online Health Communities. International Journal of Environmental Research and Public Health, 16(24). https://doi.org/10.3390/ijerph16245084
Mangkunegara, C. N., Azzahro, F., & Handayani, P. W. (2018). Analysis of Factors Affecting User’s Intention in Using Mobile Health Application: A Case Study of Halodoc. 2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 87–92. https://doi.org/10.1109/ICACSIS.2018.8618174
Martins, C., Oliveira, T., & Popovi?, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2013.06.002
Memon, A. H., & Rahman, I. A. (2014). SEM-PLS Analysis of Inhibiting Factors of Cost Performance for Large Construction Projects in Malaysia: Perspective of Clients and Consultants. The Scientific World Journal, 2014(165158), 1–9. https://doi.org/10.1155/2014/165158
Memon, M. A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample Size for Survey Research: Review and Recommendations. Journal of Applied Structural Equation Modeling, 4(2), i–xx. https://doi.org/10.47263/JASEM.4(2)01
Morosan, C., & DeFranco, A. (2016). Modeling guests’ intentions to use mobile apps in hotels. International Journal of Contemporary Hospitality Management, 28(9), 1968–1991. https://doi.org/10.1108/IJCHM-07-2015-0349
Olaleye, S. A., Salo, J., Sanusi, I. T., & Okunoye, A. O. (2018). Retailing Mobile App Usefulness: Customer Perception of Performance, Trust and Tension Free. International Journal of E-Services and Mobile Applications (IJESMA), 10(4), 1–17. https://doi.org/10.4018/IJESMA.2018100101
Otache, I. (2019). The mediating effect of teamwork on the relationship between strategic orientation and performance of Nigerian banks. European Business Review, 31(5), 744–760. https://doi.org/10.1108/EBR-10-2017-0183
Pariela, M. V. G. (2018). Wanprestasi Manajer Investasi Terhadap Investor Reksadana. SASI; Vol 23, No 2 (2017): Volume 23 Nomor 2, Juli - Desember 2017. https://doi.org/10.47268/sasi.v23i2.100
Peristiwo, H. (2016). Analisis Minat Investor di Kota Serang Terhadap Investasi Syariah Pada Pasar Modal Syariah. Islamiconomic: Jurnal Ekonomi Islam, 7(1). https://doi.org/10.32678/ijei.v7i1.7
Sander, O. A., & Christian, M. (2021). Mengidentifikasi Determinan Keinginan Berkunjung Lagi pada “10 Bali Baru.” Journal of Business & Applied Management, 14(2), 163–176. https://doi.org/10.30813/jbam.v14i2.2879
Sharma, A., & Kumar, D. (2012). User Acceptance of Desktop Based Computer Software Using UTAUT Model and addition of New Moderators.
Situngkir, T. L. (2019). Sosialisasi Pengenalan Reksadana sebagai Wadah Investasi Bagi Ibu Rumah Tangga. Abdimas Universal, 1(1), 58–62. https://doi.org/10.36277/abdimasuniversal.v1i1.24
Susanto, T. D., & Aljoza, M. (2015). Individual Acceptance of e-Government Services in a Developing Country: Dimensions of Perceived Usefulness and Perceived Ease of Use and the Importance of Trust and Social Influence. Procedia Computer Science, 72, 622–629. https://doi.org/10.1016/j.procs.2015.12.171
Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2020). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187–197. https://doi.org/10.1016/j.ausmj.2020.01.002
Venkatesh, V., M. (2003). User acceptance of information technology?: toward a unified view. MIS Quarterly, 27(3), 425–478.
Veríssimo, J. M. C. (2018). Usage intensity of mobile medical apps: A tale of two methods. Journal of Business Research, 89, 442–447. https://doi.org/https://doi.org/10.1016/j.jbusres.2017.12.026
Wibowo, S., Christian, M., Sunarno, S., & Yuniarto, Y. (2022). Determinants of Stress Recognition and Job Satisfaction in Hospitals For Health Professionals in Indonesia. Journal of Industrial Engineering and Management Systems, 15(1), 26–34. https://doi.org/10.30813/jiems.v15i1.3601
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237
Yee, T., Lim, C. S., & Wong, S. C. (2019). Patient’s Intention to Use Mobile Health App. Journal of Management Research, 11, 18. https://doi.org/10.5296/jmr.v11i3.14776
Yulita, H., Christian, M., & Fensi, F. (2022). Aspek Informatifitas, Hiburan, Iritasi, Kredibilitas, Nilai dan Pengukuran Sikap Pada Iklan COVID-19 di Kanal YouTube. Jurnal E-Bis, 6(2), 386–395. https://doi.org/10.37339/e-bis.v6i2.979