GrabFood Technology Acceptance in Manokwari using Expanded TAM

Penulis

  • Findy Indah Puspita Puspita
  • Andreas Leonardo Sumendap
  • Ratna Juita

DOI:

https://doi.org/10.32664/j-intech.v14i03.2519

Kata Kunci:

Behavioral Intention, GrabFood, Manokwari SEM-PLS, Technology Acceptance Model

Abstrak

The development of application-based Food delivery services has increased the use of digital technology in daily life. However, research related to the variables that affect technology adoption by GrabFood users in Eastern Indonesia, especially Manokwari City, is still relatively limited. This study examines factors affecting public acceptance of GrabFood technology in Manokwari City using an expanded TAM Model. The model includes Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude Toward Use (AT), Behavioral Intention (BI), Trust (TR), Service Quality (SQ), and Subjective Norm (SN). This quantitative study used questionnaires to collect data from GrabFood users in Manokwari City. Data were analyzed using PLS-SEM with SmartPLS 4. The results showed that all indicators met the required validity and reliability criteria. PEOU positively and significantly affected PU (β = 0.335, p < 0.001) and AT (β = 0.283, p < 0.001). PU positively affected AT (β = 0.345, p < 0.001) and BI (β = 0.150, p = 0.034), while AT positively affected BI (β = 0.272, p = 0.002). Trust and Service Quality positively affected PU but did not directly affect BI. Subjective Norm positively affected AT and BI. The model explained 39.1% of the variance in PU, 44.5% in AT, and 45.5% in BI, indicating moderate explanatory power. These findings support the expanded TAM model in explaining GrabFood technology acceptance in Manokwari and suggest that service providers improve ease of use, user benefits, service quality, and user trust.

Referensi

[1] R. Chowdhury, “Impact of perceived convenience, service quality and security on consumers’ behavioural intention towards online food delivery services: the role of attitude as mediator,” SN Bus. Econ., vol. 3, no. 1, pp. 1–23, 2023, doi: 10.1007/s43546-023-00422-7.

[2] Man The Nguyen, A. G. Le, T. T. T. Bui, N. V. B. Dang, and N. T. Ngo, “The Behavioral Intention of Using Online Food Delivery Services During the COVID-19 Pandemic in Vietnam,” Int. J. Asian Bus. Inf. Manag., vol. 13, no. 1, pp. 1–19, 2022, doi: 10.4018/ijabim.313097.

[3] M. P. B. Giovanna Putri Andrian, “FAKTOR YANG MEMENGARUHI REPURCHASE INTENTION PADA LAYANAN GRABFOOD,” J. Ilm. Manaj. BISNIS DAN Inov. Univ. SAM RATULANGI (JMBI UNSRAT), vol. 9, no. 3, pp. 1272–1284, 2022, [Online]. Available: https://ejournal.unsrat.ac.id/v3/index.php/jmbi/article/view/41007

[4] A. P. ANISA LATHOFIA, “ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI NIAT PEMBELIAN ULANG LAYANAN PENGANTARAN MAKANAN ONLINE GRABFOOD APLIKASI,” Int. J. Soc. Sci. Manag. Rev., vol. 06, no. April, pp. 1–10, 2023, doi: 10.37602/IJSSMR.2023.6219.

[5] S. An, T. Eck, and H. Yim, “Understanding Consumers’ Acceptance Intention to Use Mobile Food Delivery Applications through an Extended Technology Acceptance Model,” Sustainability, vol. 15, no. 1, p. 832, 2023, doi: 10.3390/su15010832.

[6] R. Y. Joselina Rizki Bimantari, Noor Alamsyah, Santi Ika Murpratiwi, “ANALISIS MODEL PENERIMAAN TEKNOLOGI UNTUK LOMBOK RESTORAN MAKANAN TRADISIONAL DI APLIKASI GOFOOD,” vol. 13, pp. 280–290, 2024, doi: 10.23887/janapati.v13i2.74816.

[7] K. Talahatu, E. Mailoa, U. Kristen, and S. Wacana, “Analisis Adaptasi Technology Acceptance Model ( TAM ) Food Delivery Service pada Pedagang Mitra Go-Food di Kecamatan Sidorejo Kota Salatiga,” Kesatria J. Penerapan Sist. Inf. (Komputer Manajemen), vol. 6, no. 2, pp. 511–520, 2025, doi: 10.30645/kesatria.v6i2.594.

[8] M. S. Elan and A. R. Muslikh, “Analisis Kepuasaan Pengguna Aplikasi GRAB Sebagai Transportasi Online Dengan Metode TAM,” J-Intech, vol. 12, no. 02, pp. 248–259, 2024, doi: 10.32664/j-intech.v12i02.1304.

[9] F. D. Davis, “Perceived Usefulness, Perceived ease of use, and user acceptance of information technology,” J. MIS Q., vol. 65, no. 1, p. 131, 1989, doi: 10.2307/249008.

[10] V. Venkatesh and H. Bala, “Technology Acceptance Model 3 and a Research Agenda on Interventions,” Int. J. Soc. Sci. Manag. Rev., pp. 273–315, 2008, doi: https://doi.org/10.1111/ j.1540-5915.2008.00192.x.

[11] R. N. Suprehatin, Aisya Nadya Putri, “FAKTOR-FAKTOR YANG MEMPENGARUHI NIAT KONSUMEN MAKANAN SIAP SAJI UNTUK GUNAKAN APLIKASI PENGANTARAN MAKANAN SELAMA PANDEMI COVID-19,” vol. 20, pp. 1–11, 2023, doi: 10.17358/jma.20.1.1.

[12] M. M. Shabrina Tamimi Siregar, Ratni Prima Lita, “TECHNOLOGY ACCEPTANCE BY CULINARY SMES IN PADANG CITY FOR SHOPEEFOOD E- COMMERCE SERVICES,” Procur. J. Ilm. Manaj., vol. 7, no. 2, pp. 152–164, 2023, doi: 10.35145/procuratio.v11i1.2821.

[13] P. D. Gefen, E. Karahanna, D. W. Straub, S. M. I. S. Triwulanan, and N. Maret, “Kepercayaan dan TAM dalam Belanja Online : Model Terintegrasi Diterbitkan oleh : Pusat Penelitian Sistem Informasi Manajemen , Universitas Minnesota URL,” vol. 1, no. 1, 2003.

[14] S. Iqromi, “EKSPLORASI DETERMINAN FAKTOR PENGGUNAAN FOOD DELIVERY SERVICE PLATFORM BERBASIS TEORI TECHNOLOGY ACCEPTANCE MODEL (TAM) YANG DIMODIFIKASI : STUDI PADA MAHASISWA FAKULTAS EKONOMI UIN MALANG (SKRIPSI),” Universitas Islam Negeri Maulana Malik Ibrahim Malang, 2025. [Online]. Available: http://etheses.uin-malang.ac.id/id/eprint/80090. [Accessed: Aug. 24, 2026].

[15] R. Wangsadinata, C. N. Geraldine, and A. Aprillia, “Pengaruh Technology Acceptance Model (Tam), Perceived Enjoyment, Dan Perceived Risk Terhadap Behavioral Intention …,” J. Manaj. Perhotelah JMP, vol. 7, no. 2, pp. 104–114, 2021, doi: 10.9744/jmhot.7.2.104-144.

[16] C. A. Sugiharto, H. C. Lestari, I. L. Kananda, M. F. Ramadhan, and S. Salsabila, “Understanding Customer Intention to Use Online Food Delivery Services In The Post-Pandemic Era In Indonesia,” Dinasti Int. J. Manag. Sci., vol. 5, no. 3, pp. 720–737, 2024, doi: https://doi.org/10.31933/dijms.v5i3.2365.

[17] J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis, 7th ed. 2010.

[18] M. Winasis and J. S. Sembel, “The Impact of Perceived Value and Service Quality on Customer Satisfaction and Intention to Use App-Based Transportation,” Feed. J. Hum. Resour., vol. 3, no. 2, pp. 81–96, 2023, doi: https://doi.org/10.19166/ff.v3i2.7460.

[19] H. Sukmawati et al., “Penerimaan dan Penggunaan Layanan Mobile Banking Perbankan Syariah: Ekstensi Technology Acceptance Model,” J. Ilm. Ekon. Islam, vol. 7, no. 03, pp. 1845–1857, 2021, [Online]. Available: http://jurnal.stie-aas.ac.id/index.php/jiedoi:http://dx.doi.org/10.29040/jiei.v7i3.3615

[20] I. Elfirdaus, T. L. M. Suryanto, and A. Pratama, “Penggunaan Aplikasi Perplexity Sebagai Menggunakan Simplifikasi Technology Acceptance Model,” JITET (Jurnal Inform. dan Tek. Elektro Ter., vol. 12, no. 3, pp. 2547–2553, 2024, doi: http://dx.doi.org/10.23960/jitet.v12i3.4803 EVALUASI.

[21] A. Pramezwary, K. G. Yulius, V. P. Viensa, and J. F. Pujangga, “Factors Driving Generation Z ’ S Use of Online Food,” J. Manaj. Perhotelan, vol. 9, no. 2, pp. 101–112, 2023, doi: 10.9744/jmp.9.2.101-112.

[22] Z. A. Mh. Khathamy Fhadlullah Haq Syahlevy, Pradita Eko Prasetyo Utomo, “ANALISIS PENERIMAAN APLIKASI MCDONALD’S DENGAN MENGGUNAKAN METODE TECHNOLOGI ACCEPTANCE MODEL (TAM),” J. Akad., pp. 46–53, 2025, doi: DOI: https://doi.org/10.53564/akademika.v17i2.1726.

[23] N. K. SETIAWATI, I. K. G. SUKARSA, G. K. GANDHIADI, and I. P. E. N. KENCANA, “Faktor-Faktor Yang Melatarbelakangi Keputusan Konsumen Menggunakan Jasa Layanan Grabfood Pada Aplikasi Grab Di Kota Denpasar,” E-Jurnal Mat., vol. 11, no. 2, p. 79, 2022, doi: 10.24843/mtk.2022.v11.i02.p364.

Diterbitkan

2026-09-19