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The Factors Affecting Computer Ownership in Turkey: Logit and Bivariate Probit Approaches

Yıl 2022, Cilt: 6 Sayı: 2, 2275 - 2291, 31.05.2022

Onur Demirel

https://doi.org/10.29023/alanyaakademik.1038258
Cited By: 1

Öz

The world has turned to be more digitalised following the penetration of PCs laptops and tablets. In this context, the ownership of the products of information technologies, which has becoming more crucial, is analysed by utilising the Survey on Information and Communication Technology (ICT) Usage in Households and by Individuals, 2020 of Turkish Statistical Institute is utilised and it is aimed to determine the factors that affect the ownership of related products. In the study, logit model is estimated for determining the computer ownership while and bivariate probit models are estimated for determining the factors affecting PC, laptop and tablet ownership. With logit model, it is determined that age and household size affect computer ownership negatively while income, education, working, internet usage and online trainings positively. Through bivariate probit models, it is found that income and education affects PC ownership negatively and inclines households to laptop and tablet ownership; and taking online trainings affects PC and laptop ownership positively but tablet ownership negatively.

Anahtar Kelimeler

Computer Ownership Personal Computer (PC) Laptop Tablet Logit and Bivariate Probit

Kaynakça

  • AIDOO, E.N., ACKAAH, W., APPIAH, S.K., APPIAH, E.K., ADDAE, J. & ALHASSAB, H. (2019). “A Bivariate Probit Analysis of Child Passenger’s Sitting Behaviour and Restraint Use in Motor Vehicle”. Accident Analysis and Prevention, 129: 225-229.
  • AKKAŞ, İ. (2020). “Küresel Bir Sorun Alanı Olarak Dijital Oyun Bağımlılığı Üzerine Çalışma: Erzincan İli Örneği”. Modern Leisure Studies, 2 (1): 11-23.
  • ÇALIŞKAN, Ş. (2009). “Ailelerin Kişisel Bilgisayar Talebini Etkileyen Faktörler”. Standard, Ekonomik ve Teknik Dergi, Haziran: 101-103.
  • CENGİZHAN, C. (2005). “Öğrencilerin Bilgisayar ve İnternet Kullanımında Yeni Bir Boyut: “İnternet Bağımlılığı”. M. Ü. Atatürk Eğitim Fakültesi Eğitim Bilimleri Dergisi, 22: 83-98.
  • CHEAH, Y.K. & NING, C.M. (2013). “Socio-demographic Determinants of Computer Ownership: An Empirical View in the City of Gui Lin”. Institutions and Economies, 5 (1): 57-70.
  • CUDDEBACK, G., WILSON, E., ORME, J.G. & COMBS-ORME, T. (2004). “Detecting and Statistically Correcting Sample Selection Bias”. Journal of Social Service Research, 30 (3): 19-33.
  • EKTİRİCİOĞLU, C., ARSLANTAŞ, H. & YÜKSEL, R. (2020). “Ergenlerde Çağın Hastalığı: Teknoloji Bağımlılığı”. Arşiv Kaynak Tarama Dergisi, 29 (1): 51-64.
  • ERCAN, U. (2021). “Hanehalklarının İletişim ve Bilgi Teknolojilerine Erişimi: Bir Poisson Regresyon Analizi”. Akdeniz Üniversitesi İletişim Fakültesi Dergisi, 35, Haziran: 402-422.
  • GÖYMEN, R. & AYAZ, T. (2019). “Akıllı Telefon Bağımlılığı ve Oyun Bağımlılığı Arasındaki İlişkinin İncelenmesi”. Online Journal of Technology Addiction and Cyberbullying, 6 (2): 36-52.
  • GREENE, W.H. (2012). Econometric Analysis. 7th Edition, Pearson Education, USA.
  • HARUNA, S.K., JAMILU, A.A., ABDULLAHI, A.Y. & MURTALA, G.B. (2013). Ownership and Use of Mobile Phone Among Farmers in North Senatorial Zone of Kaduna State”. Journal of Agricultural Extension, Vol. 17(2) December: 47-54.
  • HOOD, R., ZABATIERA, J., SILVA, D., ZUBRICK, S.R. & STRAKER, L. (2021). “Coronavirus Changed the Rules on Everything”: Parent Perspectives on How the COVID-19 Pandemic Influenced Family Routines, Relationships and Technology Use in Families with Infants”. International Journal of Environmental Research and Public Health, 18: 1-18.
  • KENNEDY, P. (1996). A Guide to Econometrics. 3rd Edition, MIT Press, USA.
  • KOBUS, M.B.W., RIETVELD, P. & VAN OMMEREN, J.N. (2013). “Ownership versus On-campus Use of Mobile IT Devices by University Students”. Computers & Education, 68: 29-41.
  • KRACHT, C.L., KATZMARZYK, P.T. & STAIANO, A.E. (2021). “Household Chaos, Family Routines, and Young Child Movement Behaviors in the U.S. during the COVID-19 Outbreak: A Cross-Sectional Study”. BMC Public Health, 21 (860): 1-12.
  • LEE, A., LEE, S. & CHAN-OLMSTED, S. (2017). “An Empirical Analysis of Tablet PC Diffusion”. Telematics and Informatics, 34: 518-527.
  • NLOGIT 4.0. Econometric Software Inc., New York, USA.
  • OECD (2021a). “Access to Computers from Home”. https://data.oecd.org/ict/access-to-computers-from-home.htm, 07.12.2021.
  • OECD (2021b). “ICT Access and Usage by Households and Individuals”. https://stats.oecd.org/Index.aspx?DataSetCode=ICT_HH2#, 09.12.2021.
  • PRATAMA, A.R. & SCARLATOS, L.L. (2019). “Ownership and Use of Mobile Devices Among Adolescents in Indonesia”. Journal of Educational Technology Systems, 48 (3): 356-384.
  • PRATAMA, A.R. (2017). “Exploring Personal Computing Devices Ownership Among University Students in Indonesia”. IFIP Advances in Information and Communication Technology book series (IFIPAICT, vol. 504).
  • PRATAMA, A.R. (2018). “Investigating Daily Mobile Device Use Among University Students in Indonesia”. IOP Conference Series: Materials Science and Engineering 325 012004, https://www.researchgate.net/publication/323715982_Investigating_Daily_Mobile_Device_Use_Among_University_Students_in_Indonesia, 17.12.2021.
  • ROESSLER, P., MYAMBA, F., CARROLL, P., JAHARI, C., KILAMA, C. & NIELSON, D.L. (2018). “Mobile-Phone Ownership Increases Poor Women’s Household Consumption: A Field Experiment in Tanzania”. Evidence in Governance and Politics Meeting in Nairobi, Kenya, 8-9 June.
  • SCLAFANI, J., TIRRELL, T.F. & FRANKO, O.I. (2013), “Mobile Tablet Use among Academic Physicians and Trainees”. Journal of Medical Systems, 37 (1): 9903.
  • SELİM, S. & BALYANER, İ. (2017). “Türkiye’de Hanehalkının Sahip Olduğu Bilişim Teknolojileri Ürünleri Sayısını Belirleyen Faktörlerin Araştırılması: Bir Sayma Veri Modeli”. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9 (22): 428-454.
  • SOON, J.-J. (2010). “A Change of Heart? A Bivariate Probit Model of International Students’ Change of Return Intention”. International Journal of Business and Economics, 9 (2): 115-129.
  • STATCOUNTER (2021). “Desktop vs Mobile vs Tablet Market Share Worldwide”. https://gs.statcounter.com/platform-market-share/desktop-mobile-tablet, 02.12.2021.
  • STATISTICA (2021). “PCs - Statistics & Facts”. https://www.statista.com/topics/1070/pcs/#dossierKeyfigures, 02.12.2021.
  • VASUDEVAN, L., OSTERMANN, J., MARWERWE MOSES, S., NGADAYA, E. & GODFREY MFINANGA, S. (2020). “Patterns of Mobile Phone Ownership and Use Among Pregnant Women in Southern Tanzania: Cross-Sectional Survey”. JMIR Mhealth and Uhealth, 8 (4): 1-7.
  • XIANG, M., ZHANG, Z. & KUWAHARA, K. (2020). “Impact of COVID-19 Pandemic on Children and Adolescents' Lifestyle Behavior Larger than Expected”. Progress in Cardiovascular Diseases, 63: 531-532.
  • YABE, N., HANIBUCHI, T., ADACHI, H.M., NAGATA, S. & NAKAYA, T. (2021). “Relationship between Internet Use and Out-of-Home Activities During the First Wave of the COVID-19 Outbreak in Japan”. Transportation Research Interdisciplinary Perspectives, 10 (June): 1-8.
  • YEŞİLYURT, M.E., BAŞTÜRK, R., YEŞİLYURT, F. & KARA, İ. (2014). “Teknolojik Cihazların Öğrenci Başarısı Üzerindeki Etkileri: Denizli Örneği”. İnternet Uygulamaları ve Yönetimi Dergisi, 5 (1): 39-47.
  • YIN, W., DEVANEY, S.A. & STAHURA, J. (2005). “Determinants of Household Expenditure on Computer Hardware and Software”. The Journal of Consumer Affairs, 39 (2): 254-275.

Türkiye’de Bilgisayar Sahipliğini Etkileyen Faktörler: Logit ve Bivariate Probit Yaklaşımları

Yıl 2022, Cilt: 6 Sayı: 2, 2275 - 2291, 31.05.2022

Onur Demirel

https://doi.org/10.29023/alanyaakademik.1038258
Cited By: 1

Öz

Dünya, sırasıyla PC, laptop ve tablet kullanımının yaygınlaşmasını takiben daha dijital hale gelmiştir. Bu bağlamda çalışmada önemi giderek artan bilişim teknolojisi ürünleri sahipliği, TÜİK’in 2020 yılı Hanehalkı Bilişim Teknolojileri Kullanım Araştırması Mikro Veri Seti kullanılarak analiz edilmiş, bu ürünlerin sahipliğini etkileyen faktörlerin belirlenmesi amaçlanmıştır. Çalışmada logit modeli ile bilgisayar; bivariate probit modelleriyle PC, laptop ve tablet sahipliğini etkileyen faktörler ayrı ayrı analiz edilmiştir. Logit modeli sonucunda bilgisayar sahipliğini; yaş ve hane büyüklüğünün negatif; gelir, eğitim düzeyi, çalışıyor olma, internet kullanım sıklığı ve online eğitim almanın pozitif etkilediği tespit edilmiştir. Bivariate probit modelleriyle ise yüksek gelir ve eğitim düzeyinin PC sahipliğini negatif, laptop ve tablet sahipliğini pozitif; online eğitim almanın, PC ve laptop sahipliğini pozitif, tablet sahipliğini negatif etkilediği bulunmuştur.

Anahtar Kelimeler

Bilgisayar Sahipliği Kişisel Bilgisayar (PC) Laptop Tablet Logit ve Bivariate Probit

Kaynakça

  • AIDOO, E.N., ACKAAH, W., APPIAH, S.K., APPIAH, E.K., ADDAE, J. & ALHASSAB, H. (2019). “A Bivariate Probit Analysis of Child Passenger’s Sitting Behaviour and Restraint Use in Motor Vehicle”. Accident Analysis and Prevention, 129: 225-229.
  • AKKAŞ, İ. (2020). “Küresel Bir Sorun Alanı Olarak Dijital Oyun Bağımlılığı Üzerine Çalışma: Erzincan İli Örneği”. Modern Leisure Studies, 2 (1): 11-23.
  • ÇALIŞKAN, Ş. (2009). “Ailelerin Kişisel Bilgisayar Talebini Etkileyen Faktörler”. Standard, Ekonomik ve Teknik Dergi, Haziran: 101-103.
  • CENGİZHAN, C. (2005). “Öğrencilerin Bilgisayar ve İnternet Kullanımında Yeni Bir Boyut: “İnternet Bağımlılığı”. M. Ü. Atatürk Eğitim Fakültesi Eğitim Bilimleri Dergisi, 22: 83-98.
  • CHEAH, Y.K. & NING, C.M. (2013). “Socio-demographic Determinants of Computer Ownership: An Empirical View in the City of Gui Lin”. Institutions and Economies, 5 (1): 57-70.
  • CUDDEBACK, G., WILSON, E., ORME, J.G. & COMBS-ORME, T. (2004). “Detecting and Statistically Correcting Sample Selection Bias”. Journal of Social Service Research, 30 (3): 19-33.
  • EKTİRİCİOĞLU, C., ARSLANTAŞ, H. & YÜKSEL, R. (2020). “Ergenlerde Çağın Hastalığı: Teknoloji Bağımlılığı”. Arşiv Kaynak Tarama Dergisi, 29 (1): 51-64.
  • ERCAN, U. (2021). “Hanehalklarının İletişim ve Bilgi Teknolojilerine Erişimi: Bir Poisson Regresyon Analizi”. Akdeniz Üniversitesi İletişim Fakültesi Dergisi, 35, Haziran: 402-422.
  • GÖYMEN, R. & AYAZ, T. (2019). “Akıllı Telefon Bağımlılığı ve Oyun Bağımlılığı Arasındaki İlişkinin İncelenmesi”. Online Journal of Technology Addiction and Cyberbullying, 6 (2): 36-52.
  • GREENE, W.H. (2012). Econometric Analysis. 7th Edition, Pearson Education, USA.
  • HARUNA, S.K., JAMILU, A.A., ABDULLAHI, A.Y. & MURTALA, G.B. (2013). Ownership and Use of Mobile Phone Among Farmers in North Senatorial Zone of Kaduna State”. Journal of Agricultural Extension, Vol. 17(2) December: 47-54.
  • HOOD, R., ZABATIERA, J., SILVA, D., ZUBRICK, S.R. & STRAKER, L. (2021). “Coronavirus Changed the Rules on Everything”: Parent Perspectives on How the COVID-19 Pandemic Influenced Family Routines, Relationships and Technology Use in Families with Infants”. International Journal of Environmental Research and Public Health, 18: 1-18.
  • KENNEDY, P. (1996). A Guide to Econometrics. 3rd Edition, MIT Press, USA.
  • KOBUS, M.B.W., RIETVELD, P. & VAN OMMEREN, J.N. (2013). “Ownership versus On-campus Use of Mobile IT Devices by University Students”. Computers & Education, 68: 29-41.
  • KRACHT, C.L., KATZMARZYK, P.T. & STAIANO, A.E. (2021). “Household Chaos, Family Routines, and Young Child Movement Behaviors in the U.S. during the COVID-19 Outbreak: A Cross-Sectional Study”. BMC Public Health, 21 (860): 1-12.
  • LEE, A., LEE, S. & CHAN-OLMSTED, S. (2017). “An Empirical Analysis of Tablet PC Diffusion”. Telematics and Informatics, 34: 518-527.
  • NLOGIT 4.0. Econometric Software Inc., New York, USA.
  • OECD (2021a). “Access to Computers from Home”. https://data.oecd.org/ict/access-to-computers-from-home.htm, 07.12.2021.
  • OECD (2021b). “ICT Access and Usage by Households and Individuals”. https://stats.oecd.org/Index.aspx?DataSetCode=ICT_HH2#, 09.12.2021.
  • PRATAMA, A.R. & SCARLATOS, L.L. (2019). “Ownership and Use of Mobile Devices Among Adolescents in Indonesia”. Journal of Educational Technology Systems, 48 (3): 356-384.
  • PRATAMA, A.R. (2017). “Exploring Personal Computing Devices Ownership Among University Students in Indonesia”. IFIP Advances in Information and Communication Technology book series (IFIPAICT, vol. 504).
  • PRATAMA, A.R. (2018). “Investigating Daily Mobile Device Use Among University Students in Indonesia”. IOP Conference Series: Materials Science and Engineering 325 012004, https://www.researchgate.net/publication/323715982_Investigating_Daily_Mobile_Device_Use_Among_University_Students_in_Indonesia, 17.12.2021.
  • ROESSLER, P., MYAMBA, F., CARROLL, P., JAHARI, C., KILAMA, C. & NIELSON, D.L. (2018). “Mobile-Phone Ownership Increases Poor Women’s Household Consumption: A Field Experiment in Tanzania”. Evidence in Governance and Politics Meeting in Nairobi, Kenya, 8-9 June.
  • SCLAFANI, J., TIRRELL, T.F. & FRANKO, O.I. (2013), “Mobile Tablet Use among Academic Physicians and Trainees”. Journal of Medical Systems, 37 (1): 9903.
  • SELİM, S. & BALYANER, İ. (2017). “Türkiye’de Hanehalkının Sahip Olduğu Bilişim Teknolojileri Ürünleri Sayısını Belirleyen Faktörlerin Araştırılması: Bir Sayma Veri Modeli”. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9 (22): 428-454.
  • SOON, J.-J. (2010). “A Change of Heart? A Bivariate Probit Model of International Students’ Change of Return Intention”. International Journal of Business and Economics, 9 (2): 115-129.
  • STATCOUNTER (2021). “Desktop vs Mobile vs Tablet Market Share Worldwide”. https://gs.statcounter.com/platform-market-share/desktop-mobile-tablet, 02.12.2021.
  • STATISTICA (2021). “PCs - Statistics & Facts”. https://www.statista.com/topics/1070/pcs/#dossierKeyfigures, 02.12.2021.
  • VASUDEVAN, L., OSTERMANN, J., MARWERWE MOSES, S., NGADAYA, E. & GODFREY MFINANGA, S. (2020). “Patterns of Mobile Phone Ownership and Use Among Pregnant Women in Southern Tanzania: Cross-Sectional Survey”. JMIR Mhealth and Uhealth, 8 (4): 1-7.
  • XIANG, M., ZHANG, Z. & KUWAHARA, K. (2020). “Impact of COVID-19 Pandemic on Children and Adolescents' Lifestyle Behavior Larger than Expected”. Progress in Cardiovascular Diseases, 63: 531-532.
  • YABE, N., HANIBUCHI, T., ADACHI, H.M., NAGATA, S. & NAKAYA, T. (2021). “Relationship between Internet Use and Out-of-Home Activities During the First Wave of the COVID-19 Outbreak in Japan”. Transportation Research Interdisciplinary Perspectives, 10 (June): 1-8.
  • YEŞİLYURT, M.E., BAŞTÜRK, R., YEŞİLYURT, F. & KARA, İ. (2014). “Teknolojik Cihazların Öğrenci Başarısı Üzerindeki Etkileri: Denizli Örneği”. İnternet Uygulamaları ve Yönetimi Dergisi, 5 (1): 39-47.
  • YIN, W., DEVANEY, S.A. & STAHURA, J. (2005). “Determinants of Household Expenditure on Computer Hardware and Software”. The Journal of Consumer Affairs, 39 (2): 254-275.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ekonomi
Bölüm Makaleler
Yazarlar

Onur Demirel 0000-0002-4476-0066

Yayımlanma Tarihi 31 Mayıs 2022
Kabul Tarihi 6 Nisan 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 6 Sayı: 2

Kaynak Göster

APA Demirel, O. (2022). Türkiye’de Bilgisayar Sahipliğini Etkileyen Faktörler: Logit ve Bivariate Probit Yaklaşımları. Alanya Akademik Bakış, 6(2), 2275-2291. https://doi.org/10.29023/alanyaakademik.1038258

Cited By

Hanehalkı Dijital Teknoloji Sahipliği Açısından Sosyoekonomik Bir Analiz
Sosyoekonomi
https://doi.org/10.17233/sosyoekonomi.2023.02.21
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