Factors Influencing Acceptance of Mobile money Applications in Enterprise Management: A Case Study of Micro and Small Enterprise Owners in Kisumu Central Business District, Kenya

Omol, Edwin; Abeka, Silvance O.; Wauyo, Fred

doi:10.17148/ijarcce.2017.6140

Cited by 12 publications

(15 citation statements)

References 2 publications

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“…Their acceptance of e-money is more influenced by the enjoyment of using e-money, the information about e-money, and personal information credibility. In this case, the results of this study do not support previous studies that show that PU and PEOU positively influence users' intention to use (16), (17), (18), (19). However, the previous study supported the results of this study regarding the effect of PE (1), (20), and PC (3) on behavioral intention.…”

Section: Results and Findingscontrasting

confidence: 99%

Empirical Analysis of Users’ Acceptance of Application-Based E-Money

2019

IJRTE

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Information Technology is currently experiencing growth which affects the consumers and companies’ behaviors. Business holders are utilizing technologies in order to increase their business’ competitive edge. The current technology growth also includes payment system growth. Technology development is currently decently fast paced such that financial transactions are also easier and faster. E-money works as a substitute for physical cash and as a system which made payments on goods and services possible. The objective of the study is to analyze certain factors which determine users’ acceptance of application-based e-money. The samples of this study are application based e-money users. Data concerning perceived ease of use, perceived usefulness, perceived credibility, perceived enjoyment, amount of information, social influence, and behavioral intention to use application-based e-money are obtained through questionnaires. The collected data were processed to test the relationships between research variables. The results of the research analysis also show depictions of all the factors which affect users’ acceptance of application-based e-money.

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Section: Results and Findingscontrasting

confidence: 99%

Empirical Analysis of Users’ Acceptance of Application-Based E-Money

2019

IJRTE

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“…The evidence from the study findings revealed that security and Trust were found to have a significant positive influence on the use of mobile money services due to service interoperability. The result supports the findings of other studies that found identity theft and sending money to the wrong account acted as factors for accepting mobile money services (Omol & Abeka, 2017). Moreover, the study findings are similar to the one conducted by GSMA (2018), which found that data privacy and security impact trust are the critical concern of users when considering whether to use mobile money.…”

Section: Discussion Of Findingssupporting

confidence: 89%

“…Mobile communication is an open environment; hence much care must be taken when transferring sensitive information, primarily when related to financial data (Abdullah & Abdul-Hadi, 2009). Identity theft and sending money to the wrong account acted as factors for accepting mobile money services (Omol, Abeka, & Wauyo, 2017). Maintaining consumer trust is critical to the growth of mobile money services.…”

Section: Security and Trust Associated With Mobile Servicesmentioning

confidence: 99%

Investigating Users' Acceptance of Mobile Money Services Interoperability: A Case Study of Tanzania

Mswahili¹

2021

IJAERS

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Using mobile phones for financial transactions has been on a sharp increase globally and in Tanzania in particular. The introduction of mobile money interoperability allows customers to undertake money transfers across different telecom mobile money accounts and bank accounts. This study aimed to find out factors that may influence the acceptance and successful use of mobile money services interoperability that are tailored to banking and unbanked users' intention by integrating three globally accepted theories; DeLone and McLean information system success model (D&M), The Technology Acceptance Model (TAM) and The Task-Technology Fit (TTF) Theory. The study hypotheses were empirically tested using data from 447 mobile money users from both telecom and banks. Data were analysed using the correlation and regression technique. This study found that approximately 81.5% of the dependent variable, which is interoperability of mobile money services was accounted for by the regression analysis and therefore can strongly be explained very well by independent variables which are Perceived Ease of Use; price value; Network Availability; Security and Trust; Service quality; Task Characteristics. This study's findings provide valuable understandings for formulating effective strategies concerning financial inclusion to mobile money service providers, governments, and other stakeholders and expand the existing customer base to mobile money service providers. Moreover, this study's results will provide the basis for further refinement of technology acceptance and success models in the emerging mobile money service domain. I. INTRODUCTIONToday, mobile phones can be used as a means of communication and the means of financial inclusion in most low-income countries. 65% of adults in the world's poorest economies still lack access to even the most basic transaction account that would allow them to send and receive payments more safely and efficiently (Pazarbasioglu et al., 2020). The mobile phone has made mobile money services possible and now reaches millions of unbanked low-income populations in developing countries, especially in rural areas (GSMA, 2019; Demirguc-Kant et al., 2018). According to UNCTAD (2019), mobile money has improved financial inclusion, making it easier, real-time insight at a lower cost, cheaper and safer to transfer money, and paying for goods and services. By the end of 2019, 5.2 billion people subscribed to mobile services, accounting for 67% of the global population, and forecasted that in 2023 more than $1 trillion will be transacted via mobile platforms annually, with over $2.8 billion a day (GSMA, 2020). Evidence shows that there are over 1.04 billion registered mobile money accounts worldwide, of which 469 million are from Sub-Saharan Africa. There are 229 live mobile money deployments in 95 countries transacting US dollars 40.8 billion processing over US dollars 1.9 billion per day globally (GSMA, 2019). Tanzania has experienced explosive growth in the use of mobile money since the

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“…The negative moderation of age in the relationship between performance expectancy and behavioral intention as well as effort expectancy and behavioral intention signifies that the gains from performance of a system and the ease of use of the system influences younger people more than the aged. This outcome of the study is also in line with the findings of Omol et al (2017) in Kenya where typical mobile money payment users were found to be relatively young.…”

Section: Structural Model Assessment and Hypotheses Testingsupporting

confidence: 89%

“…Therefore, our empirical results support the life-cycle theory in the sense that young people tend to consume more with the advent of the cashless system than the old people. Even though Nordin et al (2012) and Omol et al (2017) documented that the adoption of cashless system causes bankruptcy among the youth because of increasing consumption among them, those studies did not support their findings with any economic theory.…”

Section: Structural Model Assessment and Hypotheses Testingmentioning

confidence: 92%

Ghana’s Road to Cashless Economy: The E-Zwich Experience

Addai

Arthur

2020

RISUS

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In 2008, the Government of Ghana (GoG) through the Bank of Ghana (BoG) and Ghana Interbank Payment and Settlement System (GHIPSS) launched a smart card called e-zwich which formed a central part of the government’s plan to move the country towards a cashless economy. Modernization of the cash sector has remained at best in a confused state since it was launched and at worst an embarrassing drawback. In this article, we employ the Unified Theory of Acceptance and Use of Technology (UTAUT) and the structural equation model to estimate users' behavioral intentions and actual usage of the cashless system. The structural results show that eleven out of the fourteen hypotheses are statistically significant, while the remaining three are statistically insignificant. The results also indicate that performance efficiency, effort efficiency, and social influence significantly influence the behavioral intentions of people to use the cashless system, and the age and gender of users significantly moderate the three constructs. Behavioral intentions and facilitating conditions are also found to influence actual usage of the cashless system significantly. This study fills the gap in the applicability of the UTAUT model in a central cashless system acceptance and usage. The study also provides empirical evidence on how demographic factors such as age, education, and gender moderate the relationships among the major constructs of the UTAUT model. For the first time, we support the empirical findings on the moderating effect of age in the UTAUT model with established economic theory, the life-cycle theory. We have outlined recommendations in detail on some important considerations needed to achieve smart financial economy in Ghana, and such achievement could be emulated by other countries that are yet to implement a central cashless system.

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Factors Influencing Acceptance of Mobile money Applications in Enterprise Management: A Case Study of Micro and Small Enterprise Owners in Kisumu Central Business District, Kenya

Cited by 12 publications

References 2 publications

Empirical Analysis of Users’ Acceptance of Application-Based E-Money

Empirical Analysis of Users’ Acceptance of Application-Based E-Money

Investigating Users' Acceptance of Mobile Money Services Interoperability: A Case Study of Tanzania

Ghana’s Road to Cashless Economy: The E-Zwich Experience

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