2005
DOI: 10.1057/palgrave.jit.2000023
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Attitudes towards Telecommuting: The Turkish Case

Abstract: Examines the effects of demographic characteristics (gender, marital status), household attributes (small children, largeness of home and distance of home and workplace), support factors (supervisor, colleague and technological-bill support), and perceived advantages and disadvantages of telecommuting to individuals, organizations and society on individuals’ attitudes towards telecommuting. The sample comprised 664 IT professionals working in several internet (portal) companies in Turkey. Results suggest that … Show more

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Cited by 57 publications
(63 citation statements)
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“…Men belonging to higher income groups with high educational levels more often own a home computer and are able to work at home compared with those with lower incomes and educational levels. With respect to commuting distance, her result shows that commute distance has a positive impact on the frequency of teleworking (see also Iscan and Naktiyok, 2005;Helminen and Ristimäki, 2007). Mokhtarian and Salomon (1997), Mokhtarian and Krishna (1998) also show that commuting distances are longer for telecommuters than for regular commuters.…”
Section: Work-related Characteristicsmentioning
confidence: 94%
“…Men belonging to higher income groups with high educational levels more often own a home computer and are able to work at home compared with those with lower incomes and educational levels. With respect to commuting distance, her result shows that commute distance has a positive impact on the frequency of teleworking (see also Iscan and Naktiyok, 2005;Helminen and Ristimäki, 2007). Mokhtarian and Salomon (1997), Mokhtarian and Krishna (1998) also show that commuting distances are longer for telecommuters than for regular commuters.…”
Section: Work-related Characteristicsmentioning
confidence: 94%
“…Psychological research suggests that men and women are different in terms of information processing (e.g., Eagly and Carli, 1981;Lundeberg et al, 1994). Like gender, age has been theorized to affect individual decision-making processes (Agarwal and Prasad, 1999;Morris and Venkatesh, 2000;Iscan and Naktiyok, 2005). However, relatively little attention has been paid to the moderating role of age and gender in terms of how it affects the adoption of MDS.…”
Section: Introductionmentioning
confidence: 99%
“…The process excluded papers that discuss wider concepts of relevance to the broader mobility discourse without explicitly referencing mobile ICT. Thus, excluded from the mobile ICT article pool were some (but not all) articles on distributed work (e.g., Kotlarsky and Oshri, 2005;Sarker and Sahay, 2004); virtual teams (e.g., Griffith et al, 2003;Schweitzer and Duxbury, 2010); telecommuting (e.g., Belanger et al, 2001;Iscan and Naktiyok, 2005), and telehealth (e.g., Klecun-Dabrowska and Cornford, 2001). The analysis also excludes meta-research papers discussing or calling forrather than actually conducting -research on mobile technology (e.g., Lyytinen and Yoo, 2002b;March et al, 2000;Mbarika et al, 2005;Sawyer et al, 2003;Wareham et al, 2009;Yoo, 2010).…”
Section: Mobility Researchmentioning
confidence: 99%