Research Article
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THE RELATIONSHIP BETWEEN MOBILE PHONE PREFERENCE AND APPLICATION CATEGORY OF INTEREST: A STUDY FOCUSED ON UNIVERSITY STUDENTS

Year 2016, Volume: 2 Issue: 3, 89 - 117, 01.02.2016

Onur İzmir

Abstract

The purpose of the study is to investigate the relationship between
mobile phone preference and application category of interest. In accordance
with the literatu-  re review conducted,
features that may impact on mobile phone preference, and application categories
were formed. A survey basing on the items, regarding the mobile phone preference
and application category of interest, collected through literature review
applied to 415 respondents. Afterwards, the data at hand were put to the exploratory factor analysis, separately for both mobile phone preference and application category of
interest, and the relationships among these two vari- ables and their
dimensions come out were meant to be identified. Consequently, among two
variables and the dimensions were found a statistically significant re-
lationship. Moreover, it was also identified that mobile phone preferences of the
university students do not differ depending on the family income and individual
expenditure level of the students

Keywords

Mobile phone preference; application category of interest; explora- tory factor analysis

References

  • Akhtar, N., Saleem, S., Qamar, S., Iqbal, M., Shaheen, A., & Mahmood, T. (2014). Mobile Phone Feature Preferences and Consumption Pattern of Students in University of Sargodha. International Journal of Asian Social Science, 4(3), 383-391.
  • Aoki, K., Downes, E. J. (2004). An analysis of young peopleʹs use of and attitudes toward cell phones. Telematics and Informatics, Vol 20 (4), pg 349‐364
  • Balakrishnan, R. (2011). Apps Developer: Deveoping Apps is Abo- ut Making a Section of the Target Audience Smarter.The Economic Times(Online)’dan alıntılanmıştır: http://articles.economictimes.indiati- mes.com/2011-12-30/news/30569390_1_app-developers-nokia-life-tools- jawahar-kanjilal
  • Bose, R. 2002, ìCustomer relationship management: key components for IT successî, Industrial Management and Data Systems, 102 (2), P89-97.
  • Bowen, K., & Pistilli, M. D. (2012). Student preferences for mobile app usage.Research Bulletin)(Louisville, CO: EDUCAUSE Center for Applied Research, forthcoming), http://www. educause.edu/ecar den edinilebilir.
  • Burguera, I., Zurutuza, U. and Nadjm-Tehrani, S. Crowdroid: behavior- based malware detection system for Android. In Proc. of the SPSM, 2011.
  • Felt, A. P., Finifter, M., Chin, E., Hanna, S. and Wagner, D. A survey of mobile malware in the wild. In Proc. of the SPSM, 2011 Central Intellegence Agency (2012) https://www.cia.gov/library/publi- cations/the-world-factbook/rankorder/2151rank.html
  • Chen, Y. F., & Katz, J. E. (2009). Extending family to school life: Col- lege students’ use of the mobile phone. International Journal of Human- Computer Studies, 67(2), 179-191.
  • Chun, S., G., Chung, D. ve Shin Y., B. 2013 Are Students Satisfied with the Use of Smartphone Apps? Issues in Information Systems Volume 14, Issue 2, pp.23-33.
  • CTIA – The Wireless Association. (2006 February). Wireless Quick Facts. http://files.ctia.org/pdf/Wireless_Quick_Facts_October_05.pdf ‘den alıntılanmıştır.
  • Do, T. M. T., Blom, J., & Gatica-Perez, D. (2011, November). Smart- phone usage in the wild: a large-scale analysis of applications and context. InProceedings of the 13th international conference on multimodal interfa- ces (pp. 353-360). ACM.
  • Do, T. M. T., & Gatica-Perez, D. (2010, December). By their apps you shall understand them: mining large-scale patterns of mobile phone usage. InProceedings of the 9th International Conference on Mobile and Ubiqui- tous Multimedia (p. 27). ACM. Egelman, S., Felt, A. P., & Wagner, D. (2013). Choice architecture and smartphone privacy: There’sa price for that. In The Economics of Informa- tion Security and Privacy (pp. 211-236). Springer Berlin Heidelberg.
  • Falaki, H., Mahajan, R., Kandula, S., Lymberopoulos, D., Govindan, R., & Estrin, D. (2010, June). Diversity in smartphone usage. In Procee- dings of the 8th international conference on Mobile systems, applications, and services (pp. 179-194). ACM.
  • Gant, D., & Kiesler, S. (2002). Blurring the boundaries: cell phones, mo- bility, and the line between work and personal life. In Wireless world (pp. 121-131). Springer London.
  • Gao, Z. (2004). Regular Pattern & Revelation of University Student’s Mobile Phone Consumption. Economy and Management, 8. Hammer, R., Ronen, M., Sharon, A., Lankry, T., Huberman, Y., & Zamtsov, V. (2010). Mobile culture in college lectures: Instructors’ and students’ perspectives. Interdisciplinary Journal of E-Learning and Lear- ning Objects,6(1), 293-304.
  • Huy, N. P., & vanThanh, D. (2012, December). Evaluation of mobile app paradigms. In Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia (pp. 25-30). ACM.
  • Hoehle, H., & Venkatesh, V. (2015). Mobile application usability: Con- ceptualization and instrument development. Women, 139(44), 204.
  • ITU releases (2014) http://www.itu.int/net/pressoffice/press_relea- ses/2014/23.aspx#.VoEpoRV97IW iTunes. 2013. “Apple iTunes Store” (available online at http://www. apple.com/itunes/; accessed May 26, 2013)
  • Karagöz, Y., Çatı, K., & Koçoğlu, C. M. (2009). Cep Telefonu ve Ope- ratör Tercihinde Etkili Olabilecek Faktörlerin Demografik Özelliklere Bağlı Olarak İrdelenmesi. Dumlupınar Üniversitesi Sosyal Bilimler Der- gisi, 23(23).
  • Karjaluoto, H., Karvonen, J., Kesti, M., Koivumäki, T., Manninen, M., Pakola, J., ... & Salo, J. (2005). Factors affecting consumer choice of mo- bile phones: two studies from Finland. Journal of Euromarketing, 14(3), 59-82.
  • Katz, J. E. (1997). Social and organizational consequences of wireless communications: a selective analysis of residential and business sectors in the United States. Telematics and informatics, 14(3), 233-256. Li, S., & Li, Y. (2010). An exploration of the psychological factors influencing college students’ consumption of mobile phone in West Chi- na. International Journal of Business and Management, 5(9), p132.
  • Kopomaa, T. (2000). The city in your pocket: Birth of the mobile infor- mation society. Gaudeamus.
  • Maksudunov, A., & Polat, C. (2015). Mobil Telefon Tercihinde Etki Faktörleri-Kırgızistan’daki Üniversite Öğrencileri Üzerine Bir Çalış- ma. CELAL BAYAR ÜNİVERSİTESİ SOSYAL BİLİMLER DERGİSİ, (2), 187-208.
  • Markett, C., Sánchez, I. A., Weber, S., & Tangney, B. (2006). Using short message service to encourage interactivity in the classroom. Compu- ters & Education, 46(3), 280-293.
  • McEvoy, S. P., Stevenson, M. R., McCartt, A. T., Woodward, M., Ha- worth, C., Palamara, P., & Cercarelli, R. (2005). Role of mobile phones in motor vehicle crashes resulting in hospital attendance: a case-crossover study. bmj,331(7514), 428.
  • Özdamar, K. (1999). Paket programlar ile istatistiksel veri analizi. Kaan Kitabevi, Eskişehir, 535.
  • Palen, L., Salzman, M., & Youngs, E. (2000, December). Going wire- less: behavior & practice of new mobile phone users. In Proceedings of the 2000 ACM conference on Computer supported cooperative work (pp. 201-210). ACM.
  • Plant, S. (2000). the effects of mobile telephones on social and indivi- dual life.Report commissioned by Motorola.
  • Smith, A. (2011). Americans and their cell phones. Pew Internet & American Life Project, 15.
  • Reiner, G. ,Natter M. and Drechsler W. 2009, “Life cycle profit-redu- cing supply risks by integrated demand management”, Technology Analy- sis & Strategic Management, 21(5), pp. 653-664.
  • Reisinger, D. 2011. “Google: 500,000 Android Devices Activated Each Day,” CNET Magazine, June 28 (available online at http://news. cnet.com/8301-13506_3-20074956-17/google- 500000-android-devices- activated-each-day/; accessed July 14, 2011).
  • Salmre, I. (2005). Writing mobile Code: Essential software engineering for building mobile applications. Addison-Wesley Professional.
  • Schadler, T., & McCarthy, J. C. (2012). Mobile is the new face of en- gagement. Forrester Research: http://cdn. blog-sap. com/innovation/fi- les/2012/08/SAP_Mobile_Is_The_New_Face_Of_Engagement. Pdf den alıntılanmıştır. Singh, J., & Goyal, B. B. (2009). Mobile handset buying behavior of different age and gender groups. International Journal of Business and Management,4(5), p179.
  • Srivastava, L. (2005). Mobile phones and the evolution of social beha- viour.Behaviour & Information Technology, 24(2), 111-129.
  • Tabachnick, B., & G. Fidel, L.S. (1989). Using multivariate statis- tics. New York.(8)
  • Thompson, R., & Ray, G. (2007). More safety for children with mobi- les. Card Technology Today, 19(9), 10.
  • Tuunanen, T. (2010). Editorial: Value of Mobile Applications and Ser- vices. Journal of Information Technology Theory and Application, 11(1), 1-4.
  • World Health Organization (2011) Mobile Phone Use: A growing prob- lem of driver distraction http://www.who.int/violence_injury_prevention/ publications/road_traffic/distracted_driving_en.pdf
  • Worldwide Smartphone Growth Forecast (2014) http://www.idc.com/ getdoc.jsp?containerId=prUS25282214 den alıntılanmıştır.
  • Wajcman, J., Bittman, M., Jones, P., Johnstone, L. ve Brown, J. (2007) The Impact of the Mobile Phone on Work/Life Balance. Australian Mobi- le Telecommunication Association. Australian Research Council Linkage Project
  • Yang, H. J., & Lay, Y. L. (2011). Factors Affecting College Student’s Mobile Phone Dependence and Anxiety. In Proceedings of the World Congress on Engineering and Computer Science (Vol. 2).

ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA

Year 2016, Volume: 2 Issue: 3, 89 - 117, 01.02.2016

Onur İzmir

Abstract

Bu çalışmanın amacı, cep telefonu tercihinin ilgi duyulan uygulama
kategorisi seçimi ile ilişkisini araştırmaktır. Yapılan literatür taraması sonucu cep telefonu tercihini
etkileyebilecek özellikler ve uygulama kategorileri oluşturulmuştur. Li-
teratürden toplanan cep telefonu tercihi ve ilgi duyulan uygulama kategorisi
ile alakalı maddelere dayanan anket 415 katılımcıya uygulanmıştır. Daha sonra,
el- deki bu veri, cep telefonu tercihi ve ilgi duyulan uygulama kategorisi için
ayrı ayrı keşfedici faktör analizine tabi tutularak bu iki değişkenin ve oluşan
boyutla- rının arasındaki ilişkiler tespit edilmeye çalışılmıştır. Sonuçta, bu
iki değişkenin ve boyutlarının arasında istatistiksel olarak anlamlı bir ilişki
bulunmuştur. Ayrıca, öğrencilerin cep telefonu tercihinin, aile geliri ve
bireysel harcama düzeyine göre farklılık göstermediği tespit edilmiştir.

Keywords

Cep telefonu tercihi; ilgi duyulan uygulama kategorisi seçi- mi; keşfedici faktör analizi

References

  • Akhtar, N., Saleem, S., Qamar, S., Iqbal, M., Shaheen, A., & Mahmood, T. (2014). Mobile Phone Feature Preferences and Consumption Pattern of Students in University of Sargodha. International Journal of Asian Social Science, 4(3), 383-391.
  • Aoki, K., Downes, E. J. (2004). An analysis of young peopleʹs use of and attitudes toward cell phones. Telematics and Informatics, Vol 20 (4), pg 349‐364
  • Balakrishnan, R. (2011). Apps Developer: Deveoping Apps is Abo- ut Making a Section of the Target Audience Smarter.The Economic Times(Online)’dan alıntılanmıştır: http://articles.economictimes.indiati- mes.com/2011-12-30/news/30569390_1_app-developers-nokia-life-tools- jawahar-kanjilal
  • Bose, R. 2002, ìCustomer relationship management: key components for IT successî, Industrial Management and Data Systems, 102 (2), P89-97.
  • Bowen, K., & Pistilli, M. D. (2012). Student preferences for mobile app usage.Research Bulletin)(Louisville, CO: EDUCAUSE Center for Applied Research, forthcoming), http://www. educause.edu/ecar den edinilebilir.
  • Burguera, I., Zurutuza, U. and Nadjm-Tehrani, S. Crowdroid: behavior- based malware detection system for Android. In Proc. of the SPSM, 2011.
  • Felt, A. P., Finifter, M., Chin, E., Hanna, S. and Wagner, D. A survey of mobile malware in the wild. In Proc. of the SPSM, 2011 Central Intellegence Agency (2012) https://www.cia.gov/library/publi- cations/the-world-factbook/rankorder/2151rank.html
  • Chen, Y. F., & Katz, J. E. (2009). Extending family to school life: Col- lege students’ use of the mobile phone. International Journal of Human- Computer Studies, 67(2), 179-191.
  • Chun, S., G., Chung, D. ve Shin Y., B. 2013 Are Students Satisfied with the Use of Smartphone Apps? Issues in Information Systems Volume 14, Issue 2, pp.23-33.
  • CTIA – The Wireless Association. (2006 February). Wireless Quick Facts. http://files.ctia.org/pdf/Wireless_Quick_Facts_October_05.pdf ‘den alıntılanmıştır.
  • Do, T. M. T., Blom, J., & Gatica-Perez, D. (2011, November). Smart- phone usage in the wild: a large-scale analysis of applications and context. InProceedings of the 13th international conference on multimodal interfa- ces (pp. 353-360). ACM.
  • Do, T. M. T., & Gatica-Perez, D. (2010, December). By their apps you shall understand them: mining large-scale patterns of mobile phone usage. InProceedings of the 9th International Conference on Mobile and Ubiqui- tous Multimedia (p. 27). ACM. Egelman, S., Felt, A. P., & Wagner, D. (2013). Choice architecture and smartphone privacy: There’sa price for that. In The Economics of Informa- tion Security and Privacy (pp. 211-236). Springer Berlin Heidelberg.
  • Falaki, H., Mahajan, R., Kandula, S., Lymberopoulos, D., Govindan, R., & Estrin, D. (2010, June). Diversity in smartphone usage. In Procee- dings of the 8th international conference on Mobile systems, applications, and services (pp. 179-194). ACM.
  • Gant, D., & Kiesler, S. (2002). Blurring the boundaries: cell phones, mo- bility, and the line between work and personal life. In Wireless world (pp. 121-131). Springer London.
  • Gao, Z. (2004). Regular Pattern & Revelation of University Student’s Mobile Phone Consumption. Economy and Management, 8. Hammer, R., Ronen, M., Sharon, A., Lankry, T., Huberman, Y., & Zamtsov, V. (2010). Mobile culture in college lectures: Instructors’ and students’ perspectives. Interdisciplinary Journal of E-Learning and Lear- ning Objects,6(1), 293-304.
  • Huy, N. P., & vanThanh, D. (2012, December). Evaluation of mobile app paradigms. In Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia (pp. 25-30). ACM.
  • Hoehle, H., & Venkatesh, V. (2015). Mobile application usability: Con- ceptualization and instrument development. Women, 139(44), 204.
  • ITU releases (2014) http://www.itu.int/net/pressoffice/press_relea- ses/2014/23.aspx#.VoEpoRV97IW iTunes. 2013. “Apple iTunes Store” (available online at http://www. apple.com/itunes/; accessed May 26, 2013)
  • Karagöz, Y., Çatı, K., & Koçoğlu, C. M. (2009). Cep Telefonu ve Ope- ratör Tercihinde Etkili Olabilecek Faktörlerin Demografik Özelliklere Bağlı Olarak İrdelenmesi. Dumlupınar Üniversitesi Sosyal Bilimler Der- gisi, 23(23).
  • Karjaluoto, H., Karvonen, J., Kesti, M., Koivumäki, T., Manninen, M., Pakola, J., ... & Salo, J. (2005). Factors affecting consumer choice of mo- bile phones: two studies from Finland. Journal of Euromarketing, 14(3), 59-82.
  • Katz, J. E. (1997). Social and organizational consequences of wireless communications: a selective analysis of residential and business sectors in the United States. Telematics and informatics, 14(3), 233-256. Li, S., & Li, Y. (2010). An exploration of the psychological factors influencing college students’ consumption of mobile phone in West Chi- na. International Journal of Business and Management, 5(9), p132.
  • Kopomaa, T. (2000). The city in your pocket: Birth of the mobile infor- mation society. Gaudeamus.
  • Maksudunov, A., & Polat, C. (2015). Mobil Telefon Tercihinde Etki Faktörleri-Kırgızistan’daki Üniversite Öğrencileri Üzerine Bir Çalış- ma. CELAL BAYAR ÜNİVERSİTESİ SOSYAL BİLİMLER DERGİSİ, (2), 187-208.
  • Markett, C., Sánchez, I. A., Weber, S., & Tangney, B. (2006). Using short message service to encourage interactivity in the classroom. Compu- ters & Education, 46(3), 280-293.
  • McEvoy, S. P., Stevenson, M. R., McCartt, A. T., Woodward, M., Ha- worth, C., Palamara, P., & Cercarelli, R. (2005). Role of mobile phones in motor vehicle crashes resulting in hospital attendance: a case-crossover study. bmj,331(7514), 428.
  • Özdamar, K. (1999). Paket programlar ile istatistiksel veri analizi. Kaan Kitabevi, Eskişehir, 535.
  • Palen, L., Salzman, M., & Youngs, E. (2000, December). Going wire- less: behavior & practice of new mobile phone users. In Proceedings of the 2000 ACM conference on Computer supported cooperative work (pp. 201-210). ACM.
  • Plant, S. (2000). the effects of mobile telephones on social and indivi- dual life.Report commissioned by Motorola.
  • Smith, A. (2011). Americans and their cell phones. Pew Internet & American Life Project, 15.
  • Reiner, G. ,Natter M. and Drechsler W. 2009, “Life cycle profit-redu- cing supply risks by integrated demand management”, Technology Analy- sis & Strategic Management, 21(5), pp. 653-664.
  • Reisinger, D. 2011. “Google: 500,000 Android Devices Activated Each Day,” CNET Magazine, June 28 (available online at http://news. cnet.com/8301-13506_3-20074956-17/google- 500000-android-devices- activated-each-day/; accessed July 14, 2011).
  • Salmre, I. (2005). Writing mobile Code: Essential software engineering for building mobile applications. Addison-Wesley Professional.
  • Schadler, T., & McCarthy, J. C. (2012). Mobile is the new face of en- gagement. Forrester Research: http://cdn. blog-sap. com/innovation/fi- les/2012/08/SAP_Mobile_Is_The_New_Face_Of_Engagement. Pdf den alıntılanmıştır. Singh, J., & Goyal, B. B. (2009). Mobile handset buying behavior of different age and gender groups. International Journal of Business and Management,4(5), p179.
  • Srivastava, L. (2005). Mobile phones and the evolution of social beha- viour.Behaviour & Information Technology, 24(2), 111-129.
  • Tabachnick, B., & G. Fidel, L.S. (1989). Using multivariate statis- tics. New York.(8)
  • Thompson, R., & Ray, G. (2007). More safety for children with mobi- les. Card Technology Today, 19(9), 10.
  • Tuunanen, T. (2010). Editorial: Value of Mobile Applications and Ser- vices. Journal of Information Technology Theory and Application, 11(1), 1-4.
  • World Health Organization (2011) Mobile Phone Use: A growing prob- lem of driver distraction http://www.who.int/violence_injury_prevention/ publications/road_traffic/distracted_driving_en.pdf
  • Worldwide Smartphone Growth Forecast (2014) http://www.idc.com/ getdoc.jsp?containerId=prUS25282214 den alıntılanmıştır.
  • Wajcman, J., Bittman, M., Jones, P., Johnstone, L. ve Brown, J. (2007) The Impact of the Mobile Phone on Work/Life Balance. Australian Mobi- le Telecommunication Association. Australian Research Council Linkage Project
  • Yang, H. J., & Lay, Y. L. (2011). Factors Affecting College Student’s Mobile Phone Dependence and Anxiety. In Proceedings of the World Congress on Engineering and Computer Science (Vol. 2).
There are 41 citations in total.

Details

Primary Language Turkish
Journal Section Research Article
Authors

Onur İzmir

Publication Date February 1, 2016
Published in Issue Year 2016 Volume: 2 Issue: 3

Cite

APA İzmir, O. (2016). ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA. İş Ve Hayat, 2(3), 89-117.
AMA İzmir O. ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA. İş ve Hayat. February 2016;2(3):89-117.
Chicago İzmir, Onur. “ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA”. İş Ve Hayat 2, no. 3 (February 2016): 89-117.
EndNote İzmir O (February 1, 2016) ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA. İş ve Hayat 2 3 89–117.
IEEE O. İzmir, “ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA”, İş ve Hayat, vol. 2, no. 3, pp. 89–117, 2016.
ISNAD İzmir, Onur. “ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA”. İş ve Hayat 2/3 (February 2016), 89-117.
JAMA İzmir O. ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA. İş ve Hayat. 2016;2:89–117.
MLA İzmir, Onur. “ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA”. İş Ve Hayat, vol. 2, no. 3, 2016, pp. 89-117.
Vancouver İzmir O. ÖZELLİKLERİNE GÖRE CEP TELEFONU TERCİHİNİN İLGİ DUYULAN UYGULAMA KATEGORİSİ SEÇİMİ İLE İLİŞKİSİ: ÜNİVERSİTE ÖĞRENCİLERİ ODAKLI BİR ÇALIŞMA. İş ve Hayat. 2016;2(3):89-117.