Submitted:
29 December 2024
Posted:
30 December 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
Literature Review
Theoretical Review

- Innovators: Those who are willing to take risks and attempt new things, and who are usually the first to take on new ideas.
- Early Adopters: Esteemed and powerful people who accept the idea at its inception and lend it legitimacy.
- Early Majority: The group of adopters who, before adoption, are cautious, relying on the customs of society and the advice of other early adopters.
- The Late Majority: consists of sceptics who only embrace innovations that have gained widespread acceptance and demonstrated their worth.
- Laggards: Those who accept innovations last, frequently as a result of custom, aversion to change, or restricted access to resources.
Empirical Review
2. Materials and Methods
3. Results
3.1. Socio-Demographic Analysis and Interpretation
3.2. Hypothesis Testing
4. Discussion
5. Conclusions
6. Recommendation
- SMEs should examine their present payment procedures and find places where digital payment solutions might boost efficiency and production. Consider the transaction volume, payment frequency, and client preferences.
- Small and medium-sized businesses (SMEs) should choose a digital payment system that is appropriate for their needs and operations. Consider considerations such as usability, compatibility with existing systems, security features, and cost-effectiveness.
- Regularly assess and analyse your digital payment system’s performance to discover opportunities for improvement. Use this information to improve your payment operations and productivity.
- SMEs should keep up with current advancements and trends in digital payment technology. Consider adding new features or processes that will boost your efficiency and client pleasure.
References
- Ogbari, M.E.; Chima, G.U.K.; Olarewaju, F.O. (2021). Critical Factors of Doing Profitable Business in Three Tier Economies: A Case Study Approach.
- Balboa, E.; Ladesma, M.; Manguerra, A.N. Digital Financing Innovations and Their Impact on the Financial Performance of SMEs in the Digital Economy Era. JMM17: Jurnal Ilmu ekonomi dan manajemen 2024, 11, 88–98. [Google Scholar]
- Kaur, A.; Monga, S. (2021). Digital Transformation in Business Era. In Managerial Issues in Digital Transformation of Global Modern Corporations (pp. 1-15). IGI Global.
- Jameaba, M.S. (2020). Digitization revolution, FinTech disruption, and financial stability: Using the case of Indonesian banking ecosystem to highlight wide-ranging digitization opportunities and major challenges. FinTech Disruption, and Financial stability: Using the Case of Indonesian Banking Ecosystem to highlight wide-ranging digitization opportunities and major challenges.
- Babajide, A.A.; Oluwaseye, E.O.; Lawal, A.I.; Isibor, A.A. Financial technology, financial inclusion and MSMEs financing in the south-west of Nigeria. Academy of Entrepreneurship Journal 2020, 26, 1–17. [Google Scholar]
- Javaid, M.; Haleem, A.; Singh, R.P.; Suman, R.; Khan, S. A review of Blockchain Technology applications for financial services. BenchCouncil Transactions on Benchmarks, Standards and Evaluations 2022, 2, 100073. [Google Scholar] [CrossRef]
- Bwembya, J. (2022). Addressing challenges in accessing finance by small and medium enterprises (SMES) in Zambia: a pragmatic approach, (Doctoral dissertation, The University of Zambia).
- Ufua, D.E.; Olujobi, O.J.; Tahir, H.; Al-Faryan, M.A.S.; Matthew, O.A.; Osabuohien, E. Lean entrepreneurship and SME practice in a post COVID-19 pandemic era: a conceptual discourse from Nigeria. Global Journal of Flexible Systems Management 2022, 23, 331–344. [Google Scholar] [CrossRef] [PubMed]
- Sarkar, K.K.; Thapa, R. From Social and Development Banking to Digital Financial Inclusion: The Journey of Banking in India. Perspectives on Global Development and Technology 2021, 19, 650–675. [Google Scholar] [CrossRef]
- Lalchandani, N. (2020). Payments and Banking in Australia: From Coins to Cryptocurrency. How It Started, How It Works, and How It May Be Disrupted, Innovations Accelerated.
- Monye, O.F. (2021). Rethinking the legal and institutional framework for digital financial inclusion in Nigeria.
- Siddiqui, M.K.; Goyal, K.K. A Study the Use of E-Payment Systems Based on Artifical Intelligence. Computing & Intellegent Systems (SCTS), 2023; 1063–1076. [Google Scholar]
- Hopalı, E.; Vayvay, Ö.; Kalender, Z.T.; Turhan, D.; Aysuna, C. How do mobile wallets improve sustainability in payment services? A comprehensive literature review. Sustainability 2022, 14, 16541. [Google Scholar] [CrossRef]
- Vicente, J. Fintech disruption in Brazil: A study on the impact of open banking and instant payments in the Brazilian financial landscape. Social Impact Research Experience 2020, 86. [Google Scholar]
- Gupta, S.; Maple, C.; Crispo, B.; Raja, K.; Yautsiukhin, A.; Martinelli, F. A survey of human-computer interaction (HCI) & natural habits-based behavioural biometric modalities for user recognition schemes. Pattern Recognition 2023, 139, 109453. [Google Scholar]
- Muthukannan, P.; Tan, B.; Tan, F.T.C.; Leong, C. Novel mechanisms of scalability of financial services in an emerging market context: Insights from Indonesian Fintech Ecosystem. International Journal of Information Management 2021, 61, 102403. [Google Scholar] [CrossRef]


| Frequency | Percentage | |
|---|---|---|
| Female` | 117 | 68.4 |
| Male | 54 | 31.6 |
| Total | 171 | 100.00 |
| Frequency | Percent | |
|---|---|---|
| Hnd/B.sc | 81 | 47.4 |
| SSCE | 43 | 25.1 |
| Ond | 16 | 9.4 |
| M.sc/Ph.d | 22 | 12.9 |
| Others | 9 | 5.3 |
| Total | 171 | 100.00 |
| Factor loading | t- statistics | P value | AVE | Composite reliability | Cronbach’s Alpha | |
|---|---|---|---|---|---|---|
| constructs | > 0.5 | >1.96 | <0.5 | >0.5 | >0.8 | >0.7 |
| Mobile wallets | 0.558 | 0.834 | 0.754 | |||
| MW1 | 0.663 | 8.627 | ||||
| MW2 | 0.741 | 10.544 | ||||
| MW3 | 0.842 | 17.587 | ||||
| MW4 | 0.731 | 8.247 | ||||
| Sales growth | 0.679 | 0.864 | 0.765 | |||
| SG1 | 0.779 | 11.016 | ||||
| SG2 | 0.896 | 25.690 | ||||
| SG3 | 0.793 | 11.735 |
| Path coefficient | R Squared | R squared adjusted | std.DEV | T statistics (|O/STDEV|) | P values | |
|---|---|---|---|---|---|---|
| MW-> SG | 0.465 | 0.217 | 0.209 | 0.077 | 6.041 | 0.000 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).