Authors:
Renatus Mushi
1
;
Deirdre Lillis
1
;
Almar Ennis
2
and
Said Jafari
3
Affiliations:
1
Dublin Institute of Technology (DIT), Ireland
;
2
A College of Dublin City University (DCU), Ireland
;
3
Department of Information Technology, Tanzania
Keyword(s):
ICT, SMEs, Mobile Phone Technology, SEM, AMOS and TAM.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Business Policy, Strategy and Governance
;
Business-It Alignment
;
Cloud Technology
;
Collaboration and e-Services
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Health Care/Well-Being
;
Logistics
;
Modeling and Frameworks
;
Sustainable e-Business
;
Technology Platforms
;
Usability
;
Usability and Ergonomics
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
Mobile phone technology has been relied upon in performing a number of activities in the SMEs. In less
developed regions, computing infrastructures are very poor thereby depending highly on mobile phones.
The improvement of technology in the mobile phones contexts has seen more applications and services
being accessed through them. This gives SMEs, especially in developing countries, a preferable alternative
to desktop computing technology. However, to maximise the usability of mobile phone technology in SMEs
context, key factors which influence users’ perception on its acceptance need to be explained clearly. This
study explains the factors influencing employees’ intentions and use of mobile phone technology in SMEs,
by extending the Technology Acceptance Model (TAM) with values. The analysis results show that the
values of mobile phone technology in SMEs have a significant effect on the behaviour intention to use. This
suggests that stakeholders specifically vendors, polic
y makers, managers and mobile network operators
should take their part in handling the challenges and enforcing the benefits of mobile phones since they
constitute to the overall intention and usage. This study uses SEM with 459 employees including managers
and ordinary employees in different sectors which perform tourism activities in Tanzania. Data analysis is
performed by using SEM through AMOS. Implications of the research and future studies are also
highlighted in this paper.
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