Factors affecting the adoption of Voice over Internet Protocol (VoIP) and other converged IP services in South Africa

Tobin, Peter K.J.; Bidoli, M.

doi:10.4102/sajbm.v37i1.596

Cited by 14 publications

(4 citation statements)

References 2 publications

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“…Technology characteristics, such as complexity and relative risk and advantage, affect technology adoption in LDCs just as they do in developed countries (Batz et al, 1999;Tobin and Bidoli, 2006;Sohal et al, 2001;Brown et al, 2003;Abd Rahman and Bennett, 2009). However, some comparative studies have shown that there are other factors that are unique to LDCs that may affect technology adoption and diffusion practices (Hasan and Ditsa, 1999;Irwin et al, 2004;Salaheldin, 2007).…”

Section: Economic Status and Communication Technology Adoptionmentioning

confidence: 99%

Linking economic status with technology adoption in three emerging economies of Sub-Saharan Africa

Oke

Walumbwa

Yan

et al. 2014

Journal of Manufacturing Technology Management

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Purpose – In this study, the authors aim to understand the antecedents of technology adoption in Sub-Saharan Africa by investigating the relationship between people's economic status, their positive attitudes, and the adoption of communications technology. Design/methodology/approach – The authors used data obtained from the Gallup World Poll that was conducted in 2008. The Gallup World Poll is a survey of residents in more than 150 countries. Based on a sample of 8,787 in Kenya, Ghana and Nigeria, the authors used SEM to test the hypotheses. Findings – Hierarchical regression analyses revealed that economic status significantly predicts both positive attitudes and technology adoption. Further, the authors found that infrastructure development moderates the relationship between economic status and technology adoption. Originality/value – The study attempts to plug the gaps in established theories of technology adoption which typically do not take into consideration factors that are peculiar to LDC contexts.

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Section: Economic Status and Communication Technology Adoptionmentioning

confidence: 99%

Linking economic status with technology adoption in three emerging economies of Sub-Saharan Africa

Oke

Walumbwa

Yan

et al. 2014

Journal of Manufacturing Technology Management

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show abstract

“…For instance, Bouwman and Van de Wijngaert (2009) argue that the intention to use mobile services is dependent on the situational context. With regard to mobile communication and specifically mobile VoIP services, Tobin and Bidoli (2006) found service cost, security, QoS, complexity and privacy are the most important independent variables which will affect the adoption of VoIP and other converged IP services. VoIP services have been speculated as potential disruptive services by Verkasalo (2006).…”

Section: Related Workmentioning

confidence: 99%

The potential of converged mobile telecommunication services: a conjoint analysis

Nikou

Bouwman

Reuver

2012

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Purpose -Fearing that their voice and SMS business will be substituted by IP-based services from internet companies, mobile operators are developing various IP multimedia subsystem (IMS) based technologies to enable richer communication services. They reason that since the new rich communication services -such as enhanced presence, group communication and seamless switching between devices and media types within the same communication session -provide secure and more reliable services than those offered by internet companies -Skype, Whatsapp and Google þ , for instance -consumers will readily appreciate their services and consequently use them. This paper seeks to address these issues.Design/methodology/approach -To validate these claims, this study analyzes the results of a conjoint survey among 82 respondents in The Netherlands, France and Spain. Are users really willing to adopt these rich communication services and, if so, do issues like reliability, privacy and security impact their decision?Finding -The results indicate that while users are most interested in ''group communication'' features of rich communication services, they appreciate other services like ''switching devices'', ''switching media during communication sessions'' and ''file-sharing''. Still, for all services, reliability, security and interoperability (i.e. switching between devices) are valued as important requirements.Research limitation/implications -These findings contribute to the debate on platform competition, as these rich communication services are provided on the basis of the IMS platform, while competing services are offered via an internet base platform.Originality/ value -This paper contributes to the discussion in the mobile telecommunications domain on whether and how operators can counter the threat from internet players that look to take over their voice and SMS business. Theoretically, this paper will contribute both to understanding why users intend to adopt advanced mobile services and creating insight into the consumer-related factors that drive the war between competing service platforms.

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“…Hardware, software, network services, and service agreements have been identified as factors affecting comfort with mobile phones [42]. Tobin and Bidoli [54] list the following as key factors in holding back adoption: high bandwidth cost, regulatory uncertainty, market uncertainty, and quality of service concerns.…”

Section: Technological Contextmentioning

confidence: 99%

Modelling the factors that influence mobile phone adoption

Biljon

Kotzé

2007

Proceedings of the 2007 Annual Research Conference of the South African Institute of Computer Scientists and Information Techno

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Technology adoption models specify a pathway of technology acceptance from external variables to beliefs, intentions, adoption and actual usage. Mobile phone adoption has been studied from a variety of perspectives, including sociology, computer-supported cooperative work and human-computer interaction. What is lacking is a model integrating all these factors influencing mobile phone adoption. This paper investigates technology adoption models as a strategy to match mobile phone design to user's technological needs and expectations. Based on the literature study we integrate three existing technology adoption models and then evaluate the proposed model with interviews and a survey. The contribution of this paper is a model for representing the factors that influence mobile phone adoption.

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Factors affecting the adoption of Voice over Internet Protocol (VoIP) and other converged IP services in South Africa

Cited by 14 publications

References 2 publications

Linking economic status with technology adoption in three emerging economies of Sub-Saharan Africa

Linking economic status with technology adoption in three emerging economies of Sub-Saharan Africa

The potential of converged mobile telecommunication services: a conjoint analysis

Modelling the factors that influence mobile phone adoption

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