Predictive Effect of Gender and Sector Differences on Internet Usage Among Employees

dc.contributor.author Akman, Ibrahim
dc.contributor.author Mishra, Alok
dc.contributor.other Software Engineering
dc.contributor.other Computer Engineering
dc.contributor.other Software Engineering
dc.contributor.other Computer Engineering
dc.contributor.other 06. School Of Engineering
dc.contributor.other 01. Atılım University
dc.date.accessioned 2024-10-06T10:57:36Z
dc.date.available 2024-10-06T10:57:36Z
dc.date.issued 2010
dc.description.abstract Internet has become the foundation for the world's new information infrastructure. This impact could be attributed to the Internet's universal access to information as well as its applications in all walks of life. Various services of the Internet and tools (chat rooms, e-mails, etc.) provide users with a wide range of benefits. In their study, Colley and Maltby (2008) indicated that one important research area over the last decade has been the impact of the Internet upon different social groups in the society. The differences in various aspects of Internet usage across demographic groups have also become an interesting research area (Yang and Tung, 2007; Jaeger, 2003) because demographic attributes were found to influence individuals' actions before they engage in a given behaviour (Ajzen and Fishbein, 1980; Zhang, 2005; Jaeger, 2003). Zhang (2005) reported that although studies of computer and Internet attitudes are abundant, the majority of these researches use college students (Zhang, 2005; Hwang et al., 2006; Li and Kirkup, 2007; Chen, 2008) or ordinary citizens (Fisher and Jacob, 2006; Fang and Yen, 2006; Colley and Maltby, 2008) as samples. However, employee populations constitute one of the largest groups and play a very important role in the adoption of new technologies. Additionally, employees' use of Internet services may show entirely different patterns than other groups in the society (Jin et al., 2007). Furthermore, the basic concepts of the Internet have been developed in the Western World and most of the empirical research focusing on Internet usage is either US/EU or Far East based (Teo and Lim, 2000; Usiner, 2005). Although they cover very valuable territory and provide useful insights that can provide direction in the examination of the issues from a global perspective, the results of these studies may not be applicable to other parts of the world due to the existence of social and economic differences (Bertot, McClure and Owens, 1999; Zhang, 2005). Nowadays, there is a growing divide between Western countries and the developing countries and, comparatively, very little has been researched in the field of ICT in the latter. Keeping these in view, the present study was undertaken to investigate the predictive effect of employees' gender and sector in their Internet usage and purpose of using the Internet. For the purpose of this study, "public sector" refers to national government departments and "private sector" comprises private corporations (Akman et al., 2005). Here, it is important to note that institutions providing nonprofit public services (e. g. universities, local government, etc.) have been categorized as a public sector. Our study focused on employees from private and public sector organizations. A sample of employees was used for this purpose. The independent (decision) variables were gender and sector of employees. The dependent variables were categorized into two empirical factors: (i) usage profile (average daily use of Internet and reason for using Internet) and (ii) usage pattern (average daily use of Internet for communication services, average daily use of Internet for information services and average daily use of Internet for electronic services). For this purpose, a survey was conducted among employees from public and private sector organizations. Interestingly, the results indicated that gender and sector both have significant impact on average daily use of Internet for communication services. This impact is significant for gender on average daily use of Internet for information services and for sector on average daily use of Internet. Another interesting finding is that there is no significant predictive effect of gender and sector on the reason for using Internet. en_US
dc.identifier.issn 1392-2785
dc.identifier.issn 2029-5839
dc.identifier.scopus 2-s2.0-77954641166
dc.identifier.uri https://hdl.handle.net/20.500.14411/8760
dc.language.iso en en_US
dc.publisher Kaunas Univ Technol en_US
dc.relation.ispartof Engineering Economics en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Internet en_US
dc.subject employee en_US
dc.subject gender en_US
dc.subject sector en_US
dc.subject multiple ordinal logistic regression en_US
dc.subject chi-square test en_US
dc.title Predictive Effect of Gender and Sector Differences on Internet Usage Among Employees en_US
dc.title.alternative Prognozuojamas lyties ir sektoriaus skirtumų poveikis interneto vartojimui tarp darbuotojų en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Akman, Kamil İbrahim
gdc.author.institutional Mıshra, Alok
gdc.author.institutional Akman, Kamil İbrahim
gdc.author.institutional Mıshra, Alok
gdc.author.scopusid 8514029400
gdc.author.scopusid 7201441575
gdc.author.wosid Mishra, Alok/AAE-2673-2019
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Akman, Ibrahim; Mishra, Alok] Atilim Univ, Dept Comp Engn, TR-06836 Ankara, Turkey en_US
gdc.description.endpage 305 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 295 en_US
gdc.description.volume 21 en_US
gdc.description.woscitationindex Social Science Citation Index
gdc.description.wosquality Q2
gdc.identifier.wos WOS:000279371600008
gdc.scopus.citedcount 7
gdc.wos.citedcount 6
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