2014
DOI: 10.4236/ajibm.2014.42011
|View full text |Cite
|
Sign up to set email alerts
|

Exploring the Moderating Effects of Socio-Demographic Variables on Consumer Acceptance and Use of Mobile Money Transfer Services (MMTs) in Southern Zimbabwe

Abstract: The changing competitive landscape for mobile telecom service companies in Zimbabwe has significantly contributed to the launch of innovative market offerings, in particular, the mobile money transfer services (MMTs). The high uptake of mobile phone technology has triggered intense competition amongst the three major players: Econet, Telecel and Netone along with traditional banking and financial institutions. The purpose of the study was to explore the moderating effects of socio-demographic variables: age, g… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
11
1

Year Published

2017
2017
2023
2023

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 18 publications
(14 citation statements)
references
References 9 publications
2
11
1
Order By: Relevance
“…Therefore, the respondents can hardly be divided into different groups. Previous studies (e.g., Touray, Salminen, & Mursu, 2013;Marumbwa, 2014) claimed that the demographic variables are usually the significant moderators of technology usage. Therefore, educational level is included with gender and age as moderators to measure their moderating effects on the relationships between antecedents and behavioral intentions.…”
Section: Methodology Research Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, the respondents can hardly be divided into different groups. Previous studies (e.g., Touray, Salminen, & Mursu, 2013;Marumbwa, 2014) claimed that the demographic variables are usually the significant moderators of technology usage. Therefore, educational level is included with gender and age as moderators to measure their moderating effects on the relationships between antecedents and behavioral intentions.…”
Section: Methodology Research Modelmentioning
confidence: 99%
“…For example, Touray et al (2013) found that the effect of education on behavioral intention toward the Internet has a significant difference in two different countries. Marumbwa (2014) explored the moderating effects of demographic variables on frequency of use, use of applications, and acceptance of system services, and found that education has positive moderating effects. Therefore, we propose the following hypotheses:…”
Section: Moderating Effectsmentioning
confidence: 99%
“…The use of several internet services did not show uniform relationships with demographic factors in a study carried out by [33]. [34] also mentioned that age, gender, and income had a negative relationship with the adoption of mobile money transfer technology.…”
Section: The Effect Of Demographic Variables On E-ticketing Adoptionmentioning
confidence: 97%
“…What can be done in the meantime is to rely on existing structures such as the mobile banking systems and ROSCAs in communities. Furthermore, Zimbabwean women's low use of nancial services/mobile money may be due to their low income (39).…”
Section: Current Savings Behaviourmentioning
confidence: 99%