Who goes online? Evidence of internet use patterns from rural Greece

Michailidis, Anastasios; Partalidou, Maria; Nastis, Stefanos A.; Papadaki-Klavdianou, Aphrodite; Charatsari, Chrysanthi

doi:10.1016/j.telpol.2011.02.006

Cited by 64 publications

(47 citation statements)

References 22 publications

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“…However, unlike some of the sample surveys that question Internet usage by farmers and conclude that e-mailing is one of the main Internet applications used by farmers (Batte, 2005;Michailidis et al, 2011), our experimental research proved that participants sought information only through web search engines. The fact that none of the participants used paths that offer "faster" information streams-such as e-mail applications, live chat, or real-time search-explains the great amount of time spent.…”

Section: Discussioncontrasting

confidence: 54%

“…Two main strands of studies dominate the field: those examining the factors that influence Internet adoption, which agree that farm size (Alvarez & Nuthall, 2006;Qi, Wang, & Zuo, 2008) and level of education have a positive effect (Mishra & Park, 2005;Zhou, Singh, & Kaushik, 2011), whereas farmer's age negatively influences the possibility of Internet adoption (Gloy & Akridge, 2000), and those which offer insights on why farmers use the Internet. Although these studies are based on different data sets and approaches, their results are remarkably similar: Farmers use the Internet for e-mail services or online banking, as well as to gain information on price tracking, weather broadcasting, and also for online purchasing of agricultural inputs or for selling products (Batte, 2005;Hall, Dunkelberger, Ferreira, Prevatt, & Martin, 2003;Michailidis, Partalidou, Nastis, Papadaki-Klavdianou, & Charatsari, 2011;Taragola & Van Lierde, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Of Mice and Men: When Face-to-Face Agricultural Information is Replaced by a Mouse Click

Charatsari

Lioutas

2013

Journal of Agricultural & Food Information

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In this article we present and discuss two experiments designed to test the effectiveness of the Internet as a tool of agricultural information. Subjects were cotton producers from Thessaly, Greece. Findings suggest that, in the early stages of an innovation diffusion process, the Internet is more effective than social sources (Experiment 1). However, when urgent situations that force quick decisions occur (Experiment 2), the Internet is significantly less effective than face-to-face communication channels. In both cases, farmers who used the Internet spent more time and devoted extra effort. The experiments proved that agronomists remain the most effective information source. Results also illustrate that Internet adoption is not necessarily synonymous with its use.

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Section: Discussioncontrasting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Of Mice and Men: When Face-to-Face Agricultural Information is Replaced by a Mouse Click

Charatsari

Lioutas

2013

Journal of Agricultural & Food Information

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“…Akpabio et al [7] found that poor ICT infrastructural development, high cost of broadcast equipment, high charges for radio/television presentations, high cost of access/interconnectivity and electricity power problems were amongst the constraints affecting ICT utilization by agricultural extension officers in the Niger Delta, Nigeria. Anastasios et al [8] showed that Internet access in rural Greece was influenced by income and gender for "basic users", by the existence of a young member in the family for "interactive users", and by the digital divide between rural versus urban location and farmer's competency for the "farm oriented users".…”

Section: Introductionmentioning

confidence: 99%

Social Factors That Influence Use of ICT in Agricultural Extension in Southern Africa

Tata

McNamara

2016

Agriculture

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Farmbook is a novel information communication technology (ICT) tool for agricultural extension that is currently being field tested by the Catholic Relief Services (CRS) in Southern and East Africa. Farmbook enables extension agents to assess productivity and profitability of farming enterprises in a faster and more reliable manner, so as to increase farmer incomes and achieve food security. This study looked at the relationship between challenges faced by extension agents testing the Farmbook application and select socio-economic indicators influencing their work. Specific objectives were to identify and categorize the challenges facing extension agents in the field as they used Farmbook, assess gender differences in the use of Farmbook by extension agents, understand the relationship between socio-economic status of extension agents and the challenges faced in using Farmbook. Data were collected through document reviews, administration of a structured questionnaire and focus group meetings with field agents. Descriptive statistics and multivariate techniques were used to analyze data. The results show that personal and wider socio-economic conditions do have an impact on the proficiency of extension agents using Farmbook. The study goes on to recommend measures to improve the training and ICT proficiency of extension agents adopting Farmbook.

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“…broadband solutions supply, is affected by industry, local and government sector. Numerous factors affect broadband demand [11,12] and supply [13,14]. Hence, the determination of the most significant factors is not a simple process [15].…”

Section: Broadband Ecosystem Elementsmentioning

confidence: 99%

Broadband ecosystem elements in techno-economic modelling and analysing of broadband access solutions for rural areas

2016

Teh. vjesn.

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Original scientific paper Encouraged by broadband development initiatives and strategies that aim at the reduction of the existing digital divide between rural and urban European areas by the year 2020, the current situation in the case study of Croatian rural broadband market is analysed, and the possibilities for further broadband Internet access implementation in rural areas are highlighted in the paper within the context of broadband ecosystem elements analysis. Furthermore, in order to address the exisiting digital divide problem, an extended techno-economic modelling process for rural broadband Internet access implementation analyses is proposed. The proposed additional part of model serves as an upgrade for the standard techno-economic models and allows a detailed analysis of the specificities of different rural areas, based on the available data. Finally, the efficiency of the proposed model's application when choosing the best business strategies for different fixed and mobile, wired and wireless broadband access solutions in rural areas is presented. Keywords: broadband ecosystem; broadband implementation; rural broadband access; techno-economic modelling Elementi širokopojasnog ekosustava pri tehno-ekonomskom modeliranju i analiziranju širokopojasnih pristupnih rješenja za ruralna područjaIzvorni znanstveni članak S obzirom na postojeće razvojne inicijative i strategije čiji je cilj smanjenje postojećeg digitalnog jaza između europskih ruralnih i urbanih područja do 2020. godine, u radu je provedena analiza trenutnog stanja na tržištu širokopojasnog Interneta na primjeru hrvatskih ruralnih područja te su navedene mogućnosti daljnje implementacije širokopojasnih pristupnih rješenja u ruralna područja u kontekstu analize elemenata širokopojasnog ekosustava. Nadalje, u cilju rješavanja postojećeg problema digitalnog jaza, pri analizama načina implementacije širokopojasnih pristupnih rješenja u ruralnim područjima predložena je primjena proširenog tehno-ekonomskog modeliranja. Navedeno proširenje nadograđuje standardne modele, a omogućuje

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Who goes online? Evidence of internet use patterns from rural Greece

Cited by 64 publications

References 22 publications

Of Mice and Men: When Face-to-Face Agricultural Information is Replaced by a Mouse Click

Of Mice and Men: When Face-to-Face Agricultural Information is Replaced by a Mouse Click

Social Factors That Influence Use of ICT in Agricultural Extension in Southern Africa

Broadband ecosystem elements in techno-economic modelling and analysing of broadband access solutions for rural areas

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