Public Internet access points (PIAPs) and their social impact: a case study from Turkey

Afacan, Gülgün; Er, Erkan; Arifoglu, Ali

doi:10.1080/0144929x.2011.582149

Cited by 6 publications

(9 citation statements)

References 18 publications

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“…Perceived innovation attributes are particularly influential in leading to an adoption decision (Rogers, 1995). This study confirms previous technology adoption studies’ findings that relative advantage (Afacan et al, 2013; Rogers, 1995) and observability (Afacan et al, 2013; Rogers, 1995) strongly affect the intention to adopt cloud services. Complexity, compatibility and trialability have no significant effect on adoption intention (Lin, 1998).…”

Section: Discussionsupporting

confidence: 90%

“…Most studies confirm effects of relative advantage, compatibility, and observability (Afacan et al, 2013; Brusselle et al, 1999; Rogers, 1995) on adoption intention. However, results of prior diffusion research investigating impacts of these five attributes are inconsistent.…”

Section: Innovation Mechanismmentioning

confidence: 94%

“…However, the majority of studies did not have any impact on adoption intention, while Lee (2014) found the opposite. Inconclusive results are also present for observability: Afacan et al (2013), Kauer et al (2012) and Rogers (1995) find that observability has a positive effect on adoption intention, while Li (2004) and Zhou (2013) do not discover any significant impact of observability on the intention of technology adoption. It should be noted that few studies (Wu & Wang, 2005) suggest that compatibility is more critical than relative advantage in influencing new technology adoption.…”

Section: Innovation Mechanismmentioning

confidence: 97%

“…However, results of prior diffusion research investigating impacts of these five attributes are inconsistent. For example, Afacan et al (2013) found that only relative advantage played a critical role in predicting new technology acceptance, while Li (2004) found that relative advantage was only an important predictor for technology adoption. However, the majority of studies did not have any impact on adoption intention, while Lee (2014) found the opposite.…”

Section: Innovation Mechanismmentioning

confidence: 99%

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Why do people adopt cloud services? Gender differences

Lee

2015

Social Science Information

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The main purpose of this study is to investigate the factors influencing the adoption of cloud services. Prior research on the Diffusion Theory usually focuses on innovation attributes and lacks psychological dynamics. This study integrates both the innovation mechanism and psychological mechanism. Gender differences are examined. The survey results discover that relative advantage and observability are important antecedents of cloud services adoption. New technology self-efficacy is also an important predictor of cloud services adoption. The theoretical contribution of this model is its provision of a detailed account of the key forces from the perspective of innovation mechanism and psychological mechanisms underpinning the assessment of adoption intention. It also advances our knowledge that men and women react differently in making cloud usage decisions. Results of the current study indicate that both genders put the emphasis on the utilitarian aspects of cloud services. This study also provides useful suggestions for policy makers and cloud services providers in formulating strategies to enhance cloud services popularity.

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Section: Discussionsupporting

confidence: 90%

Section: Innovation Mechanismmentioning

confidence: 94%

Section: Innovation Mechanismmentioning

confidence: 97%

Section: Innovation Mechanismmentioning

confidence: 99%

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Why do people adopt cloud services? Gender differences

Lee

2015

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“…This is particularly so in developing countries. In conjunction with this undertaking, developing countries recognized that their long-term target is to achieve an information culture by encouraging ICT access and by ensuring diffusion of technology services to all citizens (Afacan et al , 2013).…”

Section: Introductionmentioning

confidence: 99%

Factors influencing students’ satisfaction in using wireless internet in higher education

Islam

Mok²,

Xiuxiu

et al. 2018

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Purpose In this age of exponential knowledge growth, where wireless internet is playing a dominant role, the concerned authorities of higher education have to ensure that this tool remains within the reach of the students. However, there has been as yet little research indicating its success in China. This paper aims to examine factors that influence students’ satisfaction (SAT) in using wireless internet in higher education for the purpose of learning. The second aim of this study is to identify if gender has a moderating effect on students’ SAT in using wireless internet in higher education. Design/methodology/approach Data from a total of 283 students from five colleges of a comprehensive public university in China (Foreign Language Studies, Business, Education, Biology and Chemistry, and Mathematics and Engineering) were collected for this study. The reliability and validity of the measurement scale were established through a Rasch model using Winsteps version 3.94. The technology satisfaction model (TSM) was validated applying structural equation modelling (SEM) using AMOS to test the causal relationships among the constructs. Findings The results of this study revealed that students’ SAT was directly influenced by perceived usefulness (PU) and ease of use of wireless internet. Besides, students’ perceived ease of use (PEU) and usefulness were directly affected by their computer self-efficacy. On the other hand, students’ computer self-efficacy had an indirect effect on their SAT mediated by ease of use and perceived usefulness, respectively. The findings also discovered that gender did exert effect as a moderating variable towards students’ SAT in using wireless internet in higher education. Practical implications The TSM was shown to be a useful model to measure students’ SAT in using wireless internet in a different culture. Originality/value To achieve this aim, a TSM on the potential factors contributing to student SAT was developed from the literature and validated in this study. Whereas, the TSM has been developed and validated in Malaysia.

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