The Influence of Trust and Habit on Users’ Intention to Keep Using Facebook Reels for Economic Purposes

Authors

  • Rita Soviana Universitas Papua
  • Dedi I. Inan Universitas Papua
  • Ratna Juita Universitas Papua
  • Muhamad Indra Universitas Papua

DOI:

https://doi.org/10.30871/jaic.v9i5.10661

Keywords:

Social Media, Trust, Habit, Continuance Intention, Technology Continuance Theory

Abstract

Social media now plays a crucial role in supporting economic activities. Facebook Reels, for instance, as a short video feature, offers economic opportunities for its users. However, understanding the factors that encourage continued usage remains limited. This study aims to explore the influence of trust and habit on users’ intention to keep using Facebook Reels for economic purposes (N=174 active users). We integrated the Technology Continuance Theory (TCT) applied Partial Least Squares Structural Equation Modelling (PLS-SEM) for the analysis. The results show that both factors significantly influence continuance intention (R² = 78.7%), although they do not directly affect user attitude. Attitude is influenced only by reciprocal benefits (R² = 62%). These findings indicate that in regions with limited digital infrastructure such as West Papua, the success of digital platforms strongly depends on building user trust and encouraging consistent usage habit. This study offers valuable insights for platform developers and policymakers in designing strategies to help users continue using the platform over time and support the growth of the local digital economy.

Downloads

Download data is not yet available.

References

[1] U. Ulfia, R. Rahmi, and S. Yana, “Pengaruh Media Sosial Dalam Transformasi Pemasaran Digital,” JUPEIS J. Pendidik. dan Ilmu Sos., vol. 3, no. 3, pp. 11–17, 2024, doi: 10.57218/jupeis.vol3.iss3.1123.

[2] L. Siburian, “Media Sosial Bagi Kehidupan Dan Sisi Gelapnya,” vol. 2, no. 7, pp. 682–691, 2024.

[3] O. Al-Leimon et al., “Reels to Remembrance: Attention Partially Mediates the Relationship Between Short-Form Video Addiction and Memory Function Among Youth,” Healthc., vol. 13, no. 3, pp. 1–13, 2025, doi: 10.3390/healthcare13030252.

[4] Hermila, S. A. Ashari, R. T. R. . Bau, and S. Suhada, “Eksplorasi Intensitas Penggunaan Sosial Media (Studi Deskriptif Pada Mahasiswa Teknik Informatika Ung),” Invert. J. Inf. Technol. Educ., vol. 3, no. 2, 2023, doi: 10.37905/inverted.v3i2.21172.

[5] Y. Zhang et al., “What Do We Mean When We Talk about Trust in Social Media? A Systematic Review,” Conf. Hum. Factors Comput. Syst. - Proc., 2023, doi: 10.1145/3544548.3581019.

[6] I. H. M. Hatamleh et al., “Trust in Social Media: Enhancing Social Relationships,” Soc. Sci., vol. 12, no. 7, 2023, doi: 10.3390/socsci12070416.

[7] Y. K. Liao, W. Y. Wu, T. Q. Le, and T. T. T. Phung, “The Integration of the Technology Acceptance Model and Value-Based Adoption Model to Study the Adoption of E-Learning: The Moderating Role of e-WOM,” Sustain., vol. 14, no. 2, 2022, doi: 10.3390/su14020815.

[8] M. Yan, R. Filieri, and M. Gorton, “Continuance Intention With Online Technology: A systematic Literature Review,” Int. J. Phytoremediation, vol. 21, no. 1, p. 1, 2023.

[9] M. Law, “Continuance intention to use Facebook: understanding the roles of attitude and habit,” Young Consum., vol. 21, no. 3, pp. 319–333, Jan. 2020, doi: 10.1108/YC-10-2019-1054.

[10] H. Mabkhot, A. Alsughayir, M. Ghaleb, and A. Albarq, “Understanding the factors of mobile payment continuance intention: empirical test in Saudi Arabia,” J. Law Sustain. Dev., vol. 11, no. 12, p. e1951, 2023, doi: 10.55908/sdgs.v11i12.1951.

[11] J. Liu, “An Examination of the Factors Impacting Student Satisfaction and Continuance Intention to Use Online Payments in Chengdu, China.pdf,” vol. 16, no. 2, pp. 154–166, 2023.

[12] S. Afshan and A. Sharif, “Acceptance of mobile banking framework in Pakistan,” Telemat. Informatics, vol. 33, no. 2, pp. 370–387, 2016, doi: 10.1016/j.tele.2015.09.005.

[13] D. Mansur, E. Sule, D. Kartini, and Y. M. Oesman, “Trust and Habit As Key Success on Digital Consuming Behavior in Indonesia Mediated By Behavior Intention,” AFEBI Manag. Bus. Rev., vol. 3, no. 2, p. 16, 2018, doi: 10.47312/ambr.v3i2.197.

[14] A. Bhattacherjee, “Qarterjy CONTINUANCE :,” MIS Quarterly, vol. 25, no. 3, pp. 351–370, 2011.

[15] M. Limayem, S. G. Hirt, and C. M. K. Cheung, “R Esearch a Rticle H Ow H Abit L Imits the P Redictive P Ower of I Ntention : T He C Ase of I Nformation,” MIS Q., vol. 31, no. 4, pp. 705–737, 2007.

[16] G. F. A. Susilo, U. Rani, and S. A. Khotijah, “the Trusting Beliefs of Users and the Intention To Continue Making Purchases Via Social Commerce,” J. Indones. Econ. Bus., vol. 37, no. 1, pp. 1–14, 2022, doi: 10.22146/jieb.v37i1.1402.

[17] M. Y. Siddiqui, “An Integration of policy and reputation based trust mechanisms,” Science (80-. )., no. January, 2011.

[18] M. L. Katz and C. Shapiro, “Network externalities, competition, and compatibility,” Am. Econ. Rev., vol. 75, no. 3, pp. 424–440, 1985.

[19] K. R. Baker and K. White, “QUT Digital Repository : This is the submitted version of this journal article . Published as : Baker , Rosland K . and White , Katherine M . ( 2010 ) Predicting adolescents ’ use of social networking sites from an extended theory of planned behaviour,” Comput. Human Behav., vol. 26, pp. 1591–1597, 2010.

[20] M. F. Swarna, A. Rumardani, E. adi Saputra, D. P. Nuryadi, M. D. Al-mufid, and N. Amalia, “Dampak Penggunaan Media Sosial Terhadap Pola Komunikasi Interpersonal,” Karimah Tauhid, vol. 3, no. 1, pp. 1012–1019, 2024, doi: 10.30997/karimahtauhid.v3i1.11841.

[21] H. I. A. Syamsu, L. N, and M. N. Nurdin, “Pengaruh Umpan Balik Positif Media Sosial Terhadap Self Esteem Pada Mahasiswa Pengguna Instagram Di Universitas Negeri Makassar,” J. Psikol. Talent., vol. 5, no. 1, p. 78, 2020, doi: 10.26858/talenta.v5i1.12410.

[22] H. Juho and K. Jonna, “Social motivations to use gamification: An empirical study of gamifying exercise,” ECIS 2013 - Proc. 21st Eur. Conf. Inf. Syst., pp. 1–12, 2013, [Online]. Available: http://www.scopus.com/inward/record.url?eid=2-s2.0-84905842155&partnerID=tZOtx3y1

[23] K. A. Kusumawardani, H. A. Widyanto, and J. E. G. Tambunan, “The role of gamification, social, hedonic and utilitarian values on e-commerce adoption,” Spanish J. Mark. - ESIC, vol. 27, no. 2, pp. 158–177, 2023, doi: 10.1108/SJME-09-2022-0188.

[24] S. K. Sharma and M. Sharma, “Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation,” Int. J. Inf. Manage., vol. 44, no. July 2018, pp. 65–75, 2019, doi: 10.1016/j.ijinfomgt.2018.09.013.

[25] D. Goad, A. T. Collins, and U. Gal, “Privacy and the Internet of Things−An experiment in discrete choice,” Inf. Manag., vol. 58, no. 2, p. 103292, 2021, doi: 10.1016/j.im.2020.103292.

[26] D. Chávez Herting, R. Cladellas Pros, and A. Castelló Tarrida, “Habit and social influence as determinants of PowerPoint use in higher education: A study from a technology acceptance approach,” Interact. Learn. Environ., vol. 31, no. 1, pp. 497–513, 2023, doi: 10.1080/10494820.2020.1799021.

[27] H. Karjaluoto, A. A. Shaikh, M. Leppäniemi, and R. Luomala, “Examining consumers’ usage intention of contactless payment systems,” Int. J. Bank Mark., vol. 38, no. 2, pp. 332–351, Jan. 2020, doi: 10.1108/IJBM-04-2019-0155.

[28] N. A. Abdul-Halim, A. Vafaei-Zadeh, H. Hanifah, A. P. Teoh, and K. Nawaser, “Understanding the determinants of e-wallet continuance usage intention in Malaysia,” Qual. Quant., vol. 56, no. 5, pp. 3413–3439, 2022, doi: 10.1007/s11135-021-01276-7.

[29] B. Wu and X. Chen, “Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model,” Comput. Human Behav., vol. 67, pp. 221–232, 2017, doi: 10.1016/j.chb.2016.10.028.

[30] B. Foroughi, M. Iranmanesh, and S. S. Hyun, “Understanding the determinants of mobile banking continuance usage intention,” J. Enterp. Inf. Manag., vol. 32, no. 6, pp. 1015–1033, 2019, doi: 10.1108/JEIM-10-2018-0237.

[31] G.- Saleh and R. Pitriani, “Pengaruh Media Sosial Instagram dan WhatsApp Terhadap Pembentukan Budaya ‘Alone Together,’” J. Komun., vol. 10, no. 2, p. 103, 2018, doi: 10.24912/jk.v10i2.2673.

[32] I. Etikan, “Comparison of Convenience Sampling and Purposive Sampling,” Am. J. Theor. Appl. Stat., vol. 5, no. 1, p. 1, 2016, doi: 10.11648/j.ajtas.20160501.11.

[33] M. El Maniani, M. Rechchach, A. El Mahfoudi, M. El Moudane, and A. Sabbar, “A Calorimetric investigation of the liquid bi-ni alloys,” J. Mater. Environ. Sci., vol. 7, no. 10, pp. 3759–3766, 2016.

[34] M. Sarstedt, C. M. Ringle, and J. F. Hair, Handbook of Market Research, no. July. 2020. doi: 10.1007/978-3-319-05542-8.

[35] M. Sarstedt and Y. Liu, “Advanced marketing analytics using partial least squares structural equation modeling (PLS-SEM),” J. Mark. Anal., vol. 12, no. 1, pp. 1–5, 2024, doi: 10.1057/s41270-023-00279-7.

[36] F. Schuberth, M. E. Rademaker, and J. Henseler, “Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites,” Ind. Manag. Data Syst., vol. 120, no. 12, pp. 2211–2241, 2020, doi: 10.1108/IMDS-12-2019-0642.

[37] M. A. Memon, T. Ramayah, J. H. Cheah, H. Ting, F. Chuah, and T. H. Cham, “Pls-Sem Statistical Programs: a Review,” J. Appl. Struct. Equ. Model., vol. 5, no. 1, pp. i–xiv, 2021, doi: 10.47263/JASEM.5(1)06.

[38] M. Patabang, D. I. Inan, A. Matualage, and M. Indra, “The Moderation Effect of Technology Anxiety on Digital Transformation Readiness in Public Universities : An Organizational Readiness Approach,” vol. 10, no. 2, pp. 59–70, 2024.

[39] D. I. Inan et al., “How personal, technical, social environments affecting generation Z to utilise video-based sharing platform in learning process during crisis?,” Res. Pract. Technol. Enhanc. Learn., vol. 19, 2024, doi: 10.58459/rptel.2024.19003.

[40] C. B. Astrachan, V. K. Patel, and G. Wanzenried, “A comparative study of CB-SEM and PLS-SEM for theory development in family firm research,” J. Fam. Bus. Strateg., vol. 5, no. 1, pp. 116–128, 2014, doi: 10.1016/j.jfbs.2013.12.002.

[41] H. Azad Moghddam, J. Carlson, J. Wyllie, and S. Mahmudur Rahman, “Scroll, Stop, Shop: Decoding impulsive buying in social commerce,” J. Bus. Res., vol. 182, no. May, p. 114776, 2024, doi: 10.1016/j.jbusres.2024.114776.

[42] S. Aminah, Y. Ditari, L. Kumaralalita, A. N. Hidayanto, K. Phusavat, and P. Anussornnitisarn, “E-procurement system success factors and their impact on transparency perceptions: Perspectives from the supplier side,” Electron. Gov., vol. 14, no. 2, pp. 177–199, 2018, doi: 10.1504/EG.2018.090929.

[43] J. Henseler, C. M. Ringle, and M. Sarstedt, “A new criterion for assessing discriminant validity in variance-based structural equation modeling,” J. Acad. Mark. Sci., vol. 43, no. 1, pp. 115–135, 2015, doi: 10.1007/s11747-014-0403-8.

[44] J. G. Palacios, M. Kaspereit, and A. Kienle, “Integrated Simulated Moving Bed Processes for Production of Single Enantiomers,” Chem. Eng. Technol., vol. 34, no. 5, pp. 688–698, 2011, doi: 10.1002/ceat.201000522.

[45] A. Purwanto and Y. Sudargini, “Partial Least Squares Structural Squation Modeling (PLS-SEM) Analysis for Social and Management Research : A Literature Review,” J. Ind. Eng. Manag. Res., vol. 2, no. 4, pp. 114–123, 2021.

[46] C. F. Risdiyanto, D. I. Inan, R. N. Wurarah, and O. A. Fenetiruma, “Analisis Faktor-faktor Pendukung dan Penghambat Beralih Mengadopsi Mobile Banking di Papua Barat Memanfaatkan PLS-SEM dan Perspektif Status Quo Bias,” MALCOM Indones. J. Mach. Learn. Comput. Sci., vol. 4, no. 2, pp. 637–646, 2024, doi: 10.57152/malcom.v4i2.1289.

[47] J. F. Hair, L. M. Matthews, R. L. Matthews, and M. Sarstedt, “Updated guidelines on which method to use,” Int. J. Multivar. Data Anal., vol. 1, no. 2, p. 107, 2017.

[48] J. H. Kandami, D. I. Inan, R. Juita, L. Y. Baisa, M. Sanglise, and M. Indra, “Development and Evaluation of Android-based Infrastructure Rental Application: A Design Science Research Approach,” J. Teknol. dan Manaj. Inform., vol. 10, no. 1, pp. 36–47, 2024, doi: 10.26905/jtmi.v10i1.13004.

[49] A. D. Oktavia, D. I. Inan, R. N. Wurarah, and O. A. Fenetiruma, “Analisis Faktor-faktor Penentu Adopsi E-Wallet di Papua Barat: Extended UTAUT 2 dan Perceived Risk,” MALCOM Indones. J. Mach. Learn. Comput. Sci., vol. 4, no. 2, pp. 587–600, 2024, doi: 10.57152/malcom.v4i2.1277.

[50] J. Kim and K. Yum, “Enhancing Continuous Usage Intention in E-Commerce Marketplace Platforms: The Effects of Service Quality, Customer Satisfaction, and Trust,” Appl. Sci., vol. 14, no. 17, 2024, doi: 10.3390/app14177617.

[51] A. Wahyufebrian, “Analisis Continuance Use Intention Pada Layanan Streaming Berbayar Netflix Menggunakan Expectation Confirmation Model ( ECM ),” 2023, [Online]. Available: https://repository.uinjkt.ac.id/dspace/handle/123456789/68742

[52] Y. Religia, “Sikap Konsumen Adalah Kunci: Bagaimana Niat Pembelian Online Di E-Commerce Terbentuk?,” J. Soshum Insentif, vol. 6, no. 1, pp. 22–35, 2023, doi: 10.36787/jsi.v6i1.947.

[53] A. R. Ammalia and S. Sumar, “Peran Nilai-Nilai Gamifikasi Dan Sosial Terhadap Adopsi E-Commerce,” J. Bisnis dan Manaj., vol. 20, no. 1, pp. 29–39, 2024, doi: 10.23960/jbm.v20i1.2041.

[54] F. Usman, Nursia, and Suryaningsih, “Pengaruh Keamanan, Kepercayaan dan Kemudahan Terhadap Keputusan Pembelian di Aplikasi Shopee (Studi Kasus Masyarakat Kota Tarakan),” Cross-Border J. Int. Bord. Stud. Diplomacy, Int. Relations, vol. 6, no. 1, pp. 480–494, 2023.

[55] H. Hermawan, “Sikap Konsumen Terhadap Belanja Online,” WACANA, J. Ilm. Ilmu Komun., vol. 16, no. 1, p. 136, 2017, doi: 10.32509/wacana.v16i1.6.

Downloads

Published

2025-10-04

How to Cite

[1]
R. Soviana, D. I. Inan, R. Juita, and M. Indra, “The Influence of Trust and Habit on Users’ Intention to Keep Using Facebook Reels for Economic Purposes”, JAIC, vol. 9, no. 5, pp. 2110–2120, Oct. 2025.

Similar Articles

1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.