Mobile Online Proficiency and Mobile Internet Use - Findings from Finland

Ertiö, Titiana; Räsänen, Pekka

doi:10.1007/978-3-319-58460-7_4

Cited by 2 publications

(4 citation statements)

References 30 publications

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“…Even though the literature suggests that men are more enthusiastic about new technologies in general (Doss & Morris, 2000) and mobile technologies specifically (Jiang, 2008), Gerpott, Thomas, and Weichert (2013a) suggested in their study by comparing mobile internet adoption statistics over a certain period of time that the gender divide is narrowing fast. Ertiö and Räsänen (2017) found statistical evidence for gender being no longer important for mobile internet adoption by comparing the regression results from 2012 and 2014. This might explain the fact that no correlation between farmers' gender and mobile internet adoption was also found in this study.…”

Section: Empirical Results and Discussion Of Research Hypothesesmentioning

confidence: 99%

“…Koch and Frees (2016) showed that a higher share of young adults use mobile internet. Therefore, it is also not surprising that with respect to mobile internet adoption and use, several studies showed that adoption declines with advancing age (Ertiö & Räsänen, 2017; Gerpott, Thomas, & Weichert, 2013b; Jiang, 2008). Therefore the following was hypothesized: H1 : Older farmers are less likely to adopt mobile internet .…”

Section: Research Hypotheses For Mobile Internet Adoptionmentioning

confidence: 99%

“…In general, more educated adults access the internet (Poushter, 2016). Furthermore, education is also positively correlated with mobile internet adoption (Ertiö & Räsänen, 2017). Gerpott and Thomas (2014) identified education as an important factor influencing mobile internet use based on a literature review.…”

Section: Research Hypotheses For Mobile Internet Adoptionmentioning

confidence: 99%

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“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

et al. 2020

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Mobile internet is considered one of the most important developments in information and communication technology due to its considerable effect on both the economy and our daily lives. Furthermore, mobile internet is an essential tool for overcoming the rural–urban digital divide. With respect to agriculture, mobile internet can play a central role in information gathering as well as the implementation of precision and smart farming technologies. Yet, no study has identified the determinants of mobile internet adoption in agriculture. Using a bivariate probit model with a sample selection and a representative data set from 815 German farmers, this study showed that, among other characteristics, the age of the farmer, farm size and location, as well as familiarity with internet risks is associated with mobile internet adoption in agriculture. These results may be of interest to policy makers, who deal with internet infrastructure, and providers of farm equipment that rely on mobile internet connection. [EconLit citations: Q16].

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Section: Empirical Results and Discussion Of Research Hypothesesmentioning

confidence: 99%

Section: Research Hypotheses For Mobile Internet Adoptionmentioning

confidence: 99%

Section: Research Hypotheses For Mobile Internet Adoptionmentioning

confidence: 99%

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“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

et al. 2020

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“…The higher data consumption over a cellular network than over a WiFi network shows that mobile users in Finland mostly prefer to access the Internet over a cellular network and thereby tend to consume more data over a cellular network than over a WiFi network. A possible reason for this observation can be related to the availability of good mobile network coverage and the flat-rate data subscription plans at an affordable price [36]. This likely encourages mobile users to access the Internet over the cellular networks for most aspects and they tend to remain connected to the Internet over cellular for a longer time [37].…”

Section: A Data Volume and Sessionsmentioning

confidence: 99%

Understanding Data Usage Patterns of Geographically Diverse Mobile Users

Walelgne

Asrese

Manner

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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The increasing trend of the traffic demand from mobile users and the presence of limited resources creates a challenge for network resource management. Understanding the data usage pattern and traffic demand of mobile users is a way forward to enable data-driven network resource management. However, due to the complex nature of mobile networks, understanding and characterizing data usage pattern of mobile users is a daunting task. In this work, we investigate and characterize data usage patterns and behavior of users in mobile networks. We leverage a dataset (∼340M records) collected through a crowd-based mobile network measurement platform -Netradar -across six countries. We elucidate different network factors and study how they affect the data usage patterns by taking mobile users in Finland as a use case. We perform a comparison on data usage patterns of mobile users across six countries by considering total data consumption, network access, the number of sessions created per user, throughput, and user satisfaction level on services. We show that data usage behavior of users over a mobile network is primarily driven by user mobility, the type of data subscription plan marketed by Mobile Network Operators (MNOs), network congestion, and network coverage. Besides, the data usage patterns over different network technologies (e.g., preferring cellular over WiFi) and the percentage of users accessing congested networks vary by country; mostly due to the market pricing strategy and radio coverage. However, the overall data consumption (cellular and WiFi) is comparatively similar in most of the countries we studied.

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Mobile Online Proficiency and Mobile Internet Use - Findings from Finland

Cited by 2 publications

References 30 publications

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

“Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture

Understanding Data Usage Patterns of Geographically Diverse Mobile Users

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