Preview

Finance: Theory and Practice

Advanced search

Integration of AIDA and the TPB on Cashless Fintech Usage Interest

https://doi.org/10.26794/2587-5671-2026-30-3-243-253

Abstract

This study integrated two theories: the Theory of Planned Behavior (TPB) and the AIDA (Attention Interest Desire Action) model, to understand interest in using cashless fintech and to assess the impact of marketing communication on consumer behavior. The study included culture as a factor believed to influence the intention to use cashless fintech. For the AIDA model, only the variables attention, interest, and desire were used, excluding action, as the study focused on consumer interest rather than the decision-making to use cashless fintech. The conceptual model and hypotheses combine key constructs from both models to predict behavioral intentions. This quantitative study involves residents of Ambon City and used Partial Least Square (PLS) analysis, a structural equation modeling (SEM) technique, to estimate the simultaneous effects between variables. The results revealed that first, integrating the AIDA model and TPB does not show AIDA as a stimulus for increased interest in fintech usage, with attention, interest, and desire negatively impacting behavior intention. Second, TPB, through its three constructs: attitude towards behavior, subjective norm, and perceived behavioral control, successfully explained fintech interest, and culture was found to have a significant influence on behavioral intention.

About the Authors

M. Silooy
Indonesian Christian University of Maluku
Indonesia

Marissa Silooy — PhD, SE, MM, CRA, Head of Finance Bureau, Economic and Business Faculty

Ambon


Competing Interests:

The authors have no conflicts of interest to declare.



N. Kadir
Hasanuddin University
Indonesia

Nuraeni Kadir — PhD, SE, M.Si, Prof., Lecture, Manajemen Study Program, Economic and Business Faculty

Makassar


Competing Interests:

The authors have no conflicts of interest to declare.



R. Kadir
Hasanuddin University
Indonesia

Abd. Rahman Kadir — PhD, SE, M.Si, Prof., Economic and Business Faculty

Makassar


Competing Interests:

The authors have no conflicts of interest to declare.



M. Pono
Hasanuddin University
Indonesia

Maat Pono — PhD, SE, M.Si, Prof., Economic and Business Faculty

Makassar


Competing Interests:

The authors have no conflicts of interest to declare.



References

1. Tretiak H., Shamruk O., Yermak S., Pedorych A., Olefir L. The emergence of ethical paradigms in business activities in the context of the use of information technologies. Journal of Legal, Ethical and Regulatory Issues. 2019;22(S1):1-6.

2. Güleç M., Hazar A., Babuşcu Ş. Trends in Fintech. In: Gupta S., Taneja S., Ozen E., Vardari L. Robo-advisors in management. New York, NY: IGI Global Scientific Publishing; 2024:245-273. DOI: 10.4018/979-8-3693-2849-1. ch017

3. Fatonah S., Yulandari A., Wibowo F. W. A review of e-payment system in e-commerce. Journal of Physics: Conference Series. 2018:1140:012033. DOI: 10.1088/1742-6596/1140/1/012033

4. Rajesh M., Baisel A., Swamy T. N.V.R.L., Sudhakar R. e-Payment technology as an interface between bank and the end user. Journal of Advanced Research in Dynamical and Control Systems. 2017;9:321-327.

5. Vinitha K., Vasantha S. Usage of e-payment and customer satisfaction. Indian Journal of Public Health Research and Development. 2018;9(3):130-133. DOI: 10.5958/0976-5506.2018.00196.1

6. Franque F. B., Oliveira T., Tam C. Understanding the factors of mobile payment continuance intention: Empirical test in an African context. Heliyon. 2021;7(8): e07807. DOI: 10.1016/j.heliyon.2021.e07807

7. Kumari S. S., Singh K. M., Ahmad N. Cashless economy: The impact of digital innovation in India. Current Science. 2024;126(6):650-661. DOI: 10.18520/cs/v126/i6/650-661

8. Silaya M. A. Usefulness and the risks of Fintech payment for SMEs in Ambon City. Media Trend. 2022;17(1):206- 214. DOI: 10.21107/mediatrend.v17i1.14087

9. Fiddick L., Brase G. L., Ho A. T., et al. Major personality traits and regulations of social behavior: Cheaters are not the same as the reckless, and you need to know who you’re dealing with. Journal of Research in Personality. 2016;62:6-18. DOI: 10.1016/j.jrp.2016.02.007

10. Yadav R. S., Kalluru S. R. Principal-agent trust and adoption of digital financial services: Evidence from India. Economic Notes. 2024;53(3):12247. DOI: 10.1111/ecno.12247

11. Broekhoff M.-C., van der Cruijsen C., de Haan J. Towards financial inclusion: Trust in banks’ payment services among groups at risk. Economic Analysis and Policy. 2024;82:104-123. DOI: 10.1016/j.eap.2024.02.038

12. Agrawal M., Irfan M., Goyal A. The importance of Fintech in promoting regulatory compliance in major fintech subsectors. In: Gupta S., Gupta S., Gopalakrishnan B. N. Integrating RegTech solutions for Industry 4.0. New York, NY: IGI Global Scientific Publishing; 2024:35-48. DOI: 10.4018/979-8-3693-3322-8.ch003

13. Karakas C., Stamegna C. Defining a EU-framework for financial technology (Fintech): Economic perspectives and regulatory challenges. Law and Economics Yearly Review. 2018;7(Pt1):106-129. URL: https://www.laweconomicsyearlyreview.org.uk/Law_and_Economics_Yearly_Review_LEYR_Journal_vol_7_part_1_2018.pdf

14. Baber H. Application of the AIDA model of advertising in crowdfunding. International Journal of Technoentrepreneurship. 2022;4(3):167-179. DOI: 10.1504/ijte.2022.127141

15. Grüschow R. M., Kemper J., Brettel M. How do different payment methods deliver cost and credit efficiency in electronic commerce? Electronic Commerce Research and Applications. 2016;18:27-36. DOI: 10.1016/j.elerap.2016.06.001

16. Huo W., Xiohui W., Zulfiqar M., Chand A., Ullah M. R. Communication dynamics: Fintech’s role in promoting sustainable cashless transactions. Humanities and Social Sciences Communications. 2024;11:1368. DOI: 10.1057/s41599-024-03729-4

17. Urus S. T., Kurniasari F., Nazri S. N.F.S.M., et al. A comparative study of fintech payment services adoption among Malaysian and Indonesian fresh graduates: Through the lens of UTAUT theory. Eastern-European Journal of Enterprise Technologies. 2022;5(13):73-88. DOI: 10.15587/1729-4061.2022.265662

18. Juntiwasarakij S., Sunkpho J. Toward social economic antecedents to cashless society. In: Ao S. I., Douglas C., Grundfest W. S., eds. Proc. World congr. on engineering and computer science 2018 (WCECS 2018). (San Francisco, October 23–25, 2018). Vol. 1. Hong Kong: International Association of Engineers; 2018:113-116. (Lecture notes in computational science and engineering. Vol. 2237).

19. Ajzen I., Kruglanski A. W. Reasoned action in the service of goal pursuit. Psychological Review. 2019;126(5):774- 786. DOI: 10.1037/rev0000155

20. Willekens F. The decision to emigrate: A simulation model based on the theory of planned behaviour. In: Grow A., van Bavel J., eds. Agent-based modelling in population studies. Cham: Springer; 2017:257-299. (The Springer series on demographic methods and population analysis. Vol 41). DOI: 10.1007/978-3-319-32283-4_10

21. Steinmetz H., Knappstein M., Ajzen I., Schmidt P., Kabst R. How effective are behavior change interventions based on the theory of planned behavior? A three-level meta-analysis. Zeitschrift für Psychologie. 2016;224(3):216-233. DOI: 10.1027/2151-2604/a000255

22. Irimia-Diéguez A., Velicia-Martín F., Aguayo-Camacho M. Predicting FinTech innovation adoption: The mediator role of social norms and attitudes. Financial Innovation. 2023;9(1):36. DOI: 10.1186/s40854-022-00434-6

23. Michael G., Widjaya W., Gui A. Analysis of factors affecting behavioral intention to use QRIS. In: Proc. 2024 2nd Int. conf. on emerging trends in information technology and engineering (ic-ETITE’ 24). (Vellore, February 22–23, 2024). New York, NY: IEEE; 2024. DOI: 10.1109/ic-ETITE58242.2024.10493415

24. Bergmann M., Maçada A. C.G., de Oliveira Santini F., Rasul T. Continuance intention in financial technology: A framework and meta-analysis. International Journal of Bank Marketing. 2023;41(4):749-786. DOI: 10.1108/IJBM-04-2022-0168

25. Alshari H. A., Lokhande M. A. The impact of demographic factors of clients’ attitudes and their intentions to use FinTech services on the banking sector in the least developed countries. Cogent Business & Management. 2022;9(1):2114305. DOI: 10.1080/23311975.2022.2114305

26. Cramphorn S. How to use advertising to build brands: In search of the philosopher’s stone. International Journal of Market Research. 2006;48(3):255-276. DOI: 10.1177/147078530604800303

27. Güngör A. S., Çadırcı T. O. Bridging the theory and practice of digital marketing from interactive marketing perspective: A historical review. In: Wang C. L., ed. The Palgrave handbook of interactive marketing. Cham: Palgrave Macmillan; 2023:65-92. DOI: 10.1007/978-3-031-14961-0_4

28. Abaev A., Sharkov F., Aleshnikova V. The application of digital marketing technologies for improvement of customer communications. In: Popkova E. G., Sergi B. S., eds. “Smart technologies” for society, state and economy (ISC 2020). Cham: Springer; 2021:873-880. (Lecture notes in networks and systems. Vol. 155). DOI: 10.1007/978-3-030-59126-7_97

29. Song H., Ruan W. J., Jeon Y. J. J. An integrated approach to the purchase decision making process of fooddelivery apps: Focusing on the TAM and AIDA models. International Journal of Hospitality Management. 2021;95:102943. DOI: 10.1016/j.ijhm.2021.102943

30. Makudza F., Masaire R. F., Makwara T., Sibanda L., Machaka T. H. T. Modelling mobile advertising, consumer response and mobile shopping behavior. A post COVID‑19 pandemic perspective. Cogent Business & Management. 2024;11(1):2368102. DOI: 10.1080/23311975.2024.2368102

31. Weng L., Huang Z., Bao J. A model of tourism advertising effects. Tourism Management. 2021;85:104278. DOI: 10.1016/j.tourman.2020.104278

32. Wei M., Liu M., Xu J., Li S., Cao J. Understanding the influence of sensory advertising of tourism destinations on visit intention with a modified AIDA model. Asia Pacific Journal of Tourism Research. 2022;27(3):259-273. DO I: 10.1080/10941665.2022.2061367

33. Bray J., Hartwell H., Appleton K., Price S. Consumer communication when eating out of home: The role of technology. British Food Journal. 2020;123(1):373-386. DOI: 10.1108/BFJ-12-2019-0932

34. Mumtaz R. Awareness and perspectives social media as new strategic marketing approach in minor industries; notion grounded on AIDA model. Journal of Content, Community and Communication. 2019;10(5):213-224. DOI: 10.31620/JCCC.12.19/22

35. Chen W.-J., Ting I.-H., Zhang Y. H., Minetaki K., Hsu M.-Y. Analyzing the advertising effect of the Thai social network advertising model. In: Proc. 2024 11th Multidiscip. int. social networks conf. (MISNC’24). New York, NY: ACM; 2024:106-113. DOI: 10.1145/3675669.3675675

36. Mohanty S. An assessment of theory of reasoned action while purchasing insurance products. Journal of Advanced Research in Dynamical and Control Systems. 2019;11(S10):445-448. DOI: 10.5373/JARDCS/V11SP10/20192829

37. Muralidharan S., La Ferle C., Pookulangara S. Studying the impact of religious symbols on domestic violence prevention in India: Applying the theory of reasoned action to bystanders’ reporting intentions. International Journal of Advertising. 2018;37(4):609-632. DOI: 10.1080/02650487.2017.1339659

38. Mak T. M.W., Yu I. K.M., Tsang D. C. W. Theory of planned behavior on food waste recycling. In: Bhaskar T., et al., eds. Waste biorefinery: Integrating biorefineries for waste valorisation. Amsterdam: Elsevier; 2020:221- 239. DOI: 10.1016/B978-0-12-818228-4.00009-5

39. Knauder H., Koschmieder C. Individualized student support in primary school teaching: A review of influencing factors using the Theory of Planned Behavior (TPB). Teaching and Teacher Education. 2019;77:66- 76. DOI: 10.1016/j.tate.2018.09.012

40. Chernozub O. L. The two-component model of behavior factors: Do we need implicit factors for the theory of planned behavior? Monitoring obshchestvennogo mneniya: ekonomicheskie i sotsial’nye peremeny = Monitoring of Public Opinion: Economic and Social Changes. 2022;(3):28-44. (In Russ.). DOI: 10.14515/monitoring.2022.3.2125

41. Kustiawan U., Pandansari L. Understanding restaurant customers’ environmental behavior in the social media context: An application of theory of planned behavior. Kontigensi: Jurnal Ilmiah Manajemen. 2023;11(2):644-656. DOI: 10.56457/jimk.v11i2.441

42. Dionisi S., Di Simone E., Franzoso V., et al. The application of the Theory of Planned Behaviour to prevent medication errors: A scoping review. Acta Biomedica. 2020;91(6S):28-37. DOI: 10.23750/abm.v91i6-S.9290

43. Widiharlina R. T., Saputra M., Wegman D. J., Puspitasari W. Exploring the Fintech adoption among Indonesian Gen Z: An analysis using the Theory of Planned Behavior among digital literacy users. In: 2023 Int. conf. on advancement in data science, e-learning and information system (ICADEIS). (Bali, August 02–03, 2023). New York, NY: IEEE; 2023. DOI: 10.1109/ICADEIS58666.2023.10271077

44. Ryu H.-S. Understanding benefit and risk framework of Fintech adoption: Comparison of early adopters and late adopters. In: Proc. 51st Hawaii Int. conf. on system sciences (Hilton Waikoloa Village, HI: January 03–06, 2018). Atlanta, GA: AIS Electronic Library; 2018:3864-3873. DOI: 10.24251/HICSS.2018.486

45. Spencer-Oatey H., Žegarac V. Conceptualizing culture and its impact on behavior. In: Frisby C. L., O’Donohue W.T., eds. Cultural competence in applied psychology: An evaluation of current status and future directions. Cham: Springer; 2018:211-241. DOI: 10.1007/978-3-319-78997-2_10

46. Hanrahan S. J. Culturally competent practitioners. In: Tod A., Hodge K., Krane V., eds. Routledge handbook of applied sport psychology: A comprehensive guide for students and practitioners. 2nd ed. Abingdon: Routledge; 2023:513-521. DOI: 10.4324/9781003173588-59

47. Rajapakse J. Extending the unified theory of acceptance and use of technology (UTAUT) model. In: Proc. 4th Int. conf. on interaction sciences (ICIS 2011). (Busan, August 16–18, 2011). New York, NY: IEEE; 2011:47-52.

48. Khatimah H., Halim F. The effect of attitude and its decomposed, subjective norm and it decomposed on intention to use E-money server in Indonesia. Journal of Scientific Research and Development. 2016;3(1):21-32. URL: https://jsrad.org/wp-content/2016/Issue%201,%202016/3.pdf

49. Venkatesh V., Thong J. Y.L., Xu X. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly. 2012;36(1):157-178. DOI: 10.2307/41410412

50. Sarstedt M., Hair J. F., Pick M., et al. Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing. 2022;39(5):1035-1064. DOI: 10.1002/mar.21640

51. Arrasyid W. Pengaruh AIDA terhadap Minat Beli Konsumen pada Iklan Instagram (Studi Kasus Produk Suvenir PT Holograil Maju Bersama). Jakarta: Jurusan Administrasi Niaga, Politeknik Negeri Jakarta; 2021. 66 p. URL: https://repository.pnj.ac.id/id/eprint/4318/1/Halaman%20Identitas_Wisnu%20Arrasyid_ABT8A_4517030064_2021.pdf

52. Khanifah K., Anam M. C., Astuti E. B. Pengaruh attitude toward behavior, subjective norm, perceived behavioral control pada intention whistleblowing. Jurnal AKSES. 2017;12(24):147-158. URL: https://publikasiilmiah.unwahas.ac.id/index.php/AKSES/article/view/2277/2265

53. Ahn J., Kahlor L. A. No regrets when it comes to your health: Anticipated regret, subjective norms, information insufficiency and intent to seek health information from multiple sources. Health Communication. 2020;35(10):1295-1302. DOI: 10.1080/10410236.2019.1626535


Review

For citations:


Silooy M., Kadir N., Kadir R., Pono M. Integration of AIDA and the TPB on Cashless Fintech Usage Interest. Finance: Theory and Practice. 2026;30(3):243-253. https://doi.org/10.26794/2587-5671-2026-30-3-243-253

Views: 130

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2587-5671 (Print)
ISSN 2587-7089 (Online)