Author Guidelines

Critical Success Factors of Digital Banking Adoption Among Millennials

(The title should be clear, concise, and informative, written in English, with a maximum of 12 words. Avoid abbreviations and formulas.)

Bambang Afriadi1, Michael Jordan Yusuf1, Fateeh Pattimura1

(Times New Roman, 12 pt, bold, maximum 6 authors)

1Department of Management, Universitas Negeri Jakarta, Indonesia

2Department of Management, University of the South Pacific, Fiji

3School of Evaluation and Research, Thaksin University, Thailand

Abstract

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The abstract should summarize the entire study, including the research objectives, methods, results, and significance of the findings. Non-standard abbreviations should be avoided. The abstract should be written in a single paragraph and should not exceed 200–250 words.

Keywords: digital banking; millennials; technology adoption; UTAUT; user behavior

(3–6 keywords, Times New Roman, 12 pt)

Corresponding author:
afriadi@gmail.com

  1. Introduction

In recent years, technological advancements have accelerated rapidly, increasing the demand for integrated systems within organizations. Consequently, Enterprise Resource Planning (ERP) has become an essential component of modern business operations (Caison et al., 2008; Madan & Yadav, 2018). ERP is an integrated management information system that supports decision-making processes by providing accurate and timely information.

Modern ERP systems are capable of generating diverse information outputs across business processes, enabling organizations to derive new insights for strategic decision-making (Adjei et al., 2021; Jang et al., 2021). Furthermore, ERP systems facilitate the management of various business functions, thereby enhancing operational efficiency and effectiveness.

  1. Materials and Methods

This section provides detailed information to enable replication of the study. It includes the research design, sample characteristics, research instruments, procedures, and data analysis techniques.

2.1 Research Design

This study employs a quantitative research design to examine digital banking adoption among millennials in Indonesia. The population consists of users of digital banking services, including mobile banking, internet banking, and other digital financial platforms. Respondents were selected based on their experience using these services.

2.2 Data Analysis

Data were collected through an online questionnaire distributed via social media platforms. The collected data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 3.0 software.

Figure 1. Research Model

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  1. Results

The measurement model evaluation consists of three stages: internal consistency reliability, convergent validity, and discriminant validity. Internal consistency was assessed using Cronbach’s Alpha (CA) and Composite Reliability (CR), with recommended threshold values above 0.70.

Table 1. Fornell-Larcker Criterion

Table 2. R-Square Values

  1. Discussion

The findings indicate that the adoption and user satisfaction of digital banking are significantly influenced by perceived ease of use. Previous studies have also identified perceived ease of use as a dominant factor in technology acceptance across various sectors, including education, business, and public services.

  1. Conclusion, Implications, and Recommendations

This study contributes to the development of technology acceptance theory, particularly in the context of digital banking. The results confirm that perceived ease of use is the most influential factor in enhancing users’ intention to continue using digital banking services. However, perceived usefulness does not show a significant positive effect, suggesting the need for further investigation.

  1. Acknowledgments (if any)
  1. References

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Please follow the APA 7th edition guidelines: https://apastyle.apa.org/

Journal Articles

Adjei, J. K., Adams, S., & Mamattah, L. (2021). Cloud computing adoption in Ghana: Accounting for institutional factors. Technology in Society, 65, 101583. https://doi.org/10.1016/j.techsoc.2021.101583

Caison, A. L., Bulman, D., Pai, S., & Neville, D. (2008). Exploring the technology readiness of nursing and medical students at a Canadian university. Journal of Interprofessional Care, 22(3), 283–294. https://doi.org/10.1080/13561820802061809

Jang, M., Aavakare, M., Nikou, S., & Kim, S. (2021). The impact of literacy on intention to use digital technology for learning: A comparative study of Korea and Finland. Telecommunications Policy, 45(7), 102154. https://doi.org/10.1016/j.telpol.2021.102154

Madan, K., & Yadav, R. (2018). Understanding and predicting antecedents of mobile shopping adoption: A developing country perspective. Asia Pacific Journal of Marketing and Logistics, 30(1), 139–162. https://doi.org/10.1108/APJML-02-2017-0023

  1. Appendix (if any)

This section should be placed at the end of the manuscript after the reference list.