Causes and Trends of the Digital Divide

Korupp, Sylvia E.; Szydlik, Marc

doi:10.1093/esr/jci030

Cited by 193 publications

(125 citation statements)

References 40 publications

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“…Different perspectives suggest that older workers do not adapt well to changing technology. A first explanation for this is that cognitive skills are lost with age (for example, see Touron et al 2004), as are the skills to acquire new technical skills (see Czara et al 1989;Korupp and Szydlik 2005). Moreover, the willingness and ability of older workers may impede technological change and innovation.…”

Section: The Age Of the Entrepreneur And The Use Of Ictmentioning

confidence: 99%

The moderator effect of training in the adoption of ICT in microenterprises

2017

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This research aims to study two determinant factors of the ICT adoption and use in the Spanish micro-enterprise’s framework. Furthermore, this article analyses the combined influence of the age and the training experience of the entrepreneur according to the use of ICT in the company. Previous research has considered that the age of the entrepreneur has a negative effect while the level of education of the entrepreneur always have a positive effect in the use of ICT. However, any previous research has found the analysis of the combined effects of both variables together: the age and training, since the combined effects may be different from the effects of each variable separately. On this basis it has analysed a sample of 148 Spanish firms with fewer than 10 employees. The survey results seem to conclude that the specific training of entrepreneurs on issues related to ICT, (rather than the overall level of their training), moderates the negative effect caused by the increasing age the employer in the use of ICT.

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Section: The Age Of the Entrepreneur And The Use Of Ictmentioning

confidence: 99%

The moderator effect of training in the adoption of ICT in microenterprises

2017

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“…In this regard, Korupp, Sylvia and Marc Szydlik (2005), said that computer literacy seems to be positively related to social activity and school performance, math and language skills, success in finding a job and hourly wages. It is with this in mind that the researcher intends to find out whether the respondents' social status, indicated by his income has an effect on his computer literacy level.…”

Section: Literature Reviewmentioning

confidence: 99%

Terengganu Schools Extent of Computer Literacy and Internet Usage

Nair¹,

Rahim²,

Setia³

et al. 2012

ASS

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This study investigated the computer literacy and Internet usage levels in a semi-urban school in the East Coast of Terengganu. The study also investigates whether if there existed a significant relationship between computer literacy level and Internet usage skills. Further, the researcher also found out whether SES level and gender have a bearing on the computer literacy level of the sample. The instrument distributed to the students was found to have a strong reliability. Both the computer literacy and Internet usage levels of the sample were found to be satisfactorily high as indicated by the respective means. Correlation analysis was done to find out if there existed a significant relationship between computer literacy and Internet usage skills. It was found that a significant positive relationship exists between computer literacy and Internet usage (r = 0.003, p<0.05). Lastly the researcher used the comparison of means and t-testing to find out if income group or gender has a bearing on computer literacy of the sample. No significant difference in the literacy level was found between the two genders or between the income groups. This sample comes from a rural area, future researchers should replicate this study using an urban sample.

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“…Significant differences in internet access between social groups are examined, for example, by Lenhart et al (2003), Korupp and Szydlik (2005), and Schleife (2010). They show that access barriers might depend on economic and non-economic constraints, such as income, education, or age.…”

Section: Introductionmentioning

confidence: 99%

Online But Still Divided - Inequality in Private Internet Use in Germany

Coneus

Schleife

2010

SSRN Journal

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Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW.Download this ZEW Discussion Paper from our ftp server:ftp://ftp.zew.de/pub/zew-docs/dp/dp10042.pdf Non-technical summaryAlthough information and communication technologies (ICT) have diffused into all economic and private sectors during the last decade, large disparities still exist.The disparities between individuals with regard to their access and use of new technologies are facets of the so-called digital divide. Until today, research on the digital divide has mainly focused on the access decision of individuals, that is on gaps between those who do and those who do not have access to ICT (first-level digital divide), and less on differences in usage patterns (second-level digital divide).In this paper, we investigate inequalities in internet use behaviour for the year 2004.Our analysis is based on the German ALLBUS data set which allows us to consider specific individual attitudes and preferences towards ICT. We focus on two different aspects: First, we estimate the impact of socio-economic factors on the internet access decision (first-level digital divide). Second, we analyse the determinants of the intensity of internet use and the frequency of various internet activities, such as downloading from the internet and creating web pages (second-level digital divide).Comparing the determinants of the first-and the second-level digital divide, our empirical results show two important patterns: First, socio-economic characteristics, like education, age and migration explain inequalities in internet access, while for the second-level digital divide, socio-economic factors hardly seem to play a role.Second, preferences and attitudes regarding new technologies as well as peer effects turn out to be important for both. Abstract Das Wichtigste in KürzeIn this analysis, we compare the determinants of the first-level and the second-level digital divide for private internet use in Germany. Our work offers three important innovations. First, we use the exact weekly duration of internet use to explain inequalities in internet intensity, explicitly controlling for non-users. Secondly, we use the frequencies of five different internet applications to further investigate the determinants of the second-level digital divide. Thirdly, we estimate selection models to control for unobserved characteristics of all individuals. Comparing the determinants of the first-and second-level digital divide shows that socio-economic characteristics (age, education, migration) explain inequa...

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Causes and Trends of the Digital Divide

Cited by 193 publications

References 40 publications

The moderator effect of training in the adoption of ICT in microenterprises

The moderator effect of training in the adoption of ICT in microenterprises

Terengganu Schools Extent of Computer Literacy and Internet Usage

Online But Still Divided - Inequality in Private Internet Use in Germany

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