BibTex RIS Kaynak Göster

MOBILE SABIS ACCEPTANCE AND USE: AN AMPIRICAL ASSESSMENT AT SAKARYA UNIVERSITY

Yıl 2014, Cilt: 9 Sayı: 2, 163 - 175, 01.12.2014

Öz

Along with the rapid development of information and communication technology, more and more mobile commerce applications become available. The aim of this tudy is to investigate the use and acceptance of The Mobile Information System of Sakarya University which is a comprehensive information techynology and developed by Sakarya University. Data were obtained from both Sakarya University students and university staff via preparing a survey based on the “Mobile Services Acceptance Model.” The results of this study revealed that, while ease of use, content and trust are important factors for intention to use; personel charecteristics and perceived ease of use have not a meaningful effect

Kaynakça

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behaviour and Human Decision Processes, 50, 179-211.
  • Boon, S., & Holmes, J. (1991). The dynamics of interpersonal trust: Resolving uncertainty in the face of risk. Cooperation and Prosocial Behavior (s. 190-211). içinde Cambridge: Cambridge University Press.
  • Brancheau, J., & Wetherbe, J. (1990). The adoption of spreadsheet software: testing innovation diffusion theory in the context of end-user computing. Information Systems Research, 1(2), 115-143.
  • Carlsson, C., Carlsson, J., Hyvönen, K., K., Puhakainen, J., & Walden, P. (2006). Adoption of Mobile Devices/Services – Searching for Answers with the UTAUT. 39th Hawaii International Conference on System Sciences. 6, s. 1-10. IEEE Computer Society.
  • Chen, L., Gillenson, M., & Sherrell, D. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705-719.
  • Christensen, G. E. (1987). Successful Implementation of Decision Support Systems: An Empirical Investigation of Usage Intensions and Behavior. Unpublished Doctoral Dissertation. Los Angeles: University of California.
  • Conti, V., Militello, C., Sorbello, F., & Vitabile, S. (2009). A multimodal technique for an embedded fingerprint recognizer in mobile payment systems. Mob Inf Syst, 5, 105-124.
  • Çakır, C. (2009, Temmuz). İnternet Üzerinden Satın Alma Davranışının İncelenmesi ve Bir Uygulama. İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi.
  • Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13, 319-340.
  • Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technologies. MIS Quarterly, 13(3), 319-340.
  • Davis, F. (1993). User Acceptance of Information Technology System Characteristics, User Perceptions and Behavioral Impacts. International Journal of Man Machine Studies, 38, 475-487.
  • Davis, F., Bagozzi, R., & and Warshaw, P. (1989). User Acceptance of Computer Technology. Management Science, 35(8), 982-1003.
  • Davis, F., Bagozzi, R., & Warshaw, P. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
  • Dey, A. (2001). Understanding and Using Context. Personal Ubiquitous Comput, 5, 4-7.
  • Dishaw, M., & Strong, D. (1999). Extending the technology acceptance model with task-technology fit constructs. Information & Management, 36(1), 9-21.
  • Durresi, A., & Denko, M. (2009). Advances in wireless networks. Mob Inf Syst, 5, 1-3.
  • Erten, S. (2002). Planlanmış Davranış Teorisi ile Uygulamalı Ders İşleme Öğretim Metodu. Hacettepe Üniversitesi Edebiyat Fakültesi Dergisi, 19(2), 217-233.
  • Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley.
  • Gao, S., Krogstie, J., & Gransæther, P. (2008). Mobile Services Acceptance Model. International Conference on Convergence and Hybrid Information Technology, (s. 446-453). Daejeon, Korea.
  • Gao, S., Krogstie, J., & Siau, K. (2011). Developing an Instrument to Measure the Adoption of Mobile Services. Mobile Information Systems, 7, 45-67.
  • Gentry, L., & Calantone, R. (2002). A comparison of three models to explain shop-bot use on the web. Psychology and Marketing, 19(11), 945-956.
  • Greenberg, S. (2001). Context as a dynamic construct. Human-computer interaction, 16.
  • Hatcher, L. (1994). A Step-by-step approach to uisng the SAS(R) System For Factor Analysis And Structural Equation Modeling. Cary: NC: SAS Institute.
  • Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. (1997). Personal com-puting acceptance factors in small firms: a structural equation model. MIS Quarterly, 21(3), 279-302.
  • Julien, C., & Roman, G. (2006). EgoSpaces: Facilitating Rapid Development of Context-Aware Mobile Applications. IEEE Trans Softw Eng, 32, 281-298.
  • Kalakota, R., & Robinson, M. (2002). M-Business: The Race toMobility. McGraw-Hill, Inc.
  • Karahanna, E., D.W., S., & N.L., C. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q 23, 183-213.
  • Keller, C. (2005). Virtual learning environments: three implementation perspectives. Learning, Media and Technology, 30(3), 299-311.
  • Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology accep- tance model Information&Management. Information&Management, 191-204.
  • Lopez-Nicolas, C., Molina-Castillo, F., & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information & Management, 45, 359-364.
  • Mathieson, K. (1991). Predicting user intentions: Comparing the technology model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
  • Moore, G., & and Benbasat, I. (1996). "Integrating Diffusion of Innovations and Theory of Reasoned Action Models to Predict Utilization of Information Technology by End-Users. Diffusion and Adoption of Information Technology, 132-146.
  • Nunnally, J. (1978). Psychometric Theory. New York: McGraw-Hill.
  • Olson, J., & Zanna, M. (1993). Attitudes and attitude change. Annual Review of Psychology, 28(3), 117-154.
  • Pavri, F. (1988). Empirical Study of the Factors Contributing to Microcomputer Usage. Unpublished doctoral dissertation. University of Western Ontario.
  • Plouffe, C., Hulland, J., & Vandenbosch, M. (2001). Research Report: Richness versus parsimony in modeling technology adoption decisions-understanding merchant adoption of a smart card-based payment system. Information Systems Research, 12(2), 208-222.
  • Rogers, E. (1995). The Diffusion of Innovations. New York: 1995.
  • Safar, M., Sawwan, H., Taha, M., & Al-Fadhli, T. (2009). Virtual social networks online and mobile systems. Mob Inf Syst, 5, 233-253.
  • Siau, K., & Shen, Z. (2003). Building Customer Trust in Mobile Commerce. Communications of the ACM, 46(4), 91-94.
  • Siau, K., Lim, P., & Shen, Z. (2001). Mobile Commerce-Promises, Challenges and Research Agenda. Journal of Database Management, 12, 4-13.
  • Tavakolian, H. (1989). Linking the Information Technology Structure With Organizational Competitive Strategy: A Survey. MIS Quarterly, 13(3), 309-317.
  • Taylor, S., & Todd, P. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176.
  • Tsang, M., Ho, S., & Liang, T. (2004). Consumer attitudes toward mobile advertising: an empirical study. International Journal of Electronic Commerce, 8(3), 65-78.
  • Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
  • Venkatesh, V., & Morris, M. (2000). Why do not men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115-139.
  • Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  • You, I., & Hara, T. (2010). Mobile and Wireless Networks. Mob Inf Syst, 6, 1-3.

MOBİL SABİS KABUL VE KULLANIMI: SAKARYA ÜNİVERSİTESİNDE AMPİRİK BİR DEĞERLENDİRME

Yıl 2014, Cilt: 9 Sayı: 2, 163 - 175, 01.12.2014

Öz

Bilgi ve iletişim teknolojilerinde yaşanan hızlı gelişmeler, gün geçtikçe daha fazla mobil uygulamanın kullanılmasına olanak sunmaktadır. Bu çalışmada kapsamlı bir mobil bilişim uygulaması olan ve Sakarya Üniversitesi tarafından geliştirilen Sakarya Üniversitesi Mobil Bilgi Sistemi (SABİS) uygulamasının kullanımı ve kabulünün araştırılması amaçlanmıştır. Veriler, Sakarya Üniversitesi öğrencilerine ve personeline uygulanan anketler yoluyla elde edilmiş olup, anketin hazırlanmasında “Mobil Hizmetler Kabul Modeli” temel alınmıştır. Yapılan analiz sonuçlarına göre kişilerin mobil uygulamayı kullanma niyeti üzerinde kullanım kolaylığı, içerik ve güven faktörlerinin istatistiksel açıdan önemli olduğu ancak; kişisel özellikler ile algılanan fayda değişkenlerinin kullanma niyeti üzerinde istatistiksel olarak anlamlı bir etkisinin olmadığı ortaya çıkmıştır.

Kaynakça

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behaviour and Human Decision Processes, 50, 179-211.
  • Boon, S., & Holmes, J. (1991). The dynamics of interpersonal trust: Resolving uncertainty in the face of risk. Cooperation and Prosocial Behavior (s. 190-211). içinde Cambridge: Cambridge University Press.
  • Brancheau, J., & Wetherbe, J. (1990). The adoption of spreadsheet software: testing innovation diffusion theory in the context of end-user computing. Information Systems Research, 1(2), 115-143.
  • Carlsson, C., Carlsson, J., Hyvönen, K., K., Puhakainen, J., & Walden, P. (2006). Adoption of Mobile Devices/Services – Searching for Answers with the UTAUT. 39th Hawaii International Conference on System Sciences. 6, s. 1-10. IEEE Computer Society.
  • Chen, L., Gillenson, M., & Sherrell, D. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705-719.
  • Christensen, G. E. (1987). Successful Implementation of Decision Support Systems: An Empirical Investigation of Usage Intensions and Behavior. Unpublished Doctoral Dissertation. Los Angeles: University of California.
  • Conti, V., Militello, C., Sorbello, F., & Vitabile, S. (2009). A multimodal technique for an embedded fingerprint recognizer in mobile payment systems. Mob Inf Syst, 5, 105-124.
  • Çakır, C. (2009, Temmuz). İnternet Üzerinden Satın Alma Davranışının İncelenmesi ve Bir Uygulama. İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi.
  • Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13, 319-340.
  • Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technologies. MIS Quarterly, 13(3), 319-340.
  • Davis, F. (1993). User Acceptance of Information Technology System Characteristics, User Perceptions and Behavioral Impacts. International Journal of Man Machine Studies, 38, 475-487.
  • Davis, F., Bagozzi, R., & and Warshaw, P. (1989). User Acceptance of Computer Technology. Management Science, 35(8), 982-1003.
  • Davis, F., Bagozzi, R., & Warshaw, P. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
  • Dey, A. (2001). Understanding and Using Context. Personal Ubiquitous Comput, 5, 4-7.
  • Dishaw, M., & Strong, D. (1999). Extending the technology acceptance model with task-technology fit constructs. Information & Management, 36(1), 9-21.
  • Durresi, A., & Denko, M. (2009). Advances in wireless networks. Mob Inf Syst, 5, 1-3.
  • Erten, S. (2002). Planlanmış Davranış Teorisi ile Uygulamalı Ders İşleme Öğretim Metodu. Hacettepe Üniversitesi Edebiyat Fakültesi Dergisi, 19(2), 217-233.
  • Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley.
  • Gao, S., Krogstie, J., & Gransæther, P. (2008). Mobile Services Acceptance Model. International Conference on Convergence and Hybrid Information Technology, (s. 446-453). Daejeon, Korea.
  • Gao, S., Krogstie, J., & Siau, K. (2011). Developing an Instrument to Measure the Adoption of Mobile Services. Mobile Information Systems, 7, 45-67.
  • Gentry, L., & Calantone, R. (2002). A comparison of three models to explain shop-bot use on the web. Psychology and Marketing, 19(11), 945-956.
  • Greenberg, S. (2001). Context as a dynamic construct. Human-computer interaction, 16.
  • Hatcher, L. (1994). A Step-by-step approach to uisng the SAS(R) System For Factor Analysis And Structural Equation Modeling. Cary: NC: SAS Institute.
  • Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. (1997). Personal com-puting acceptance factors in small firms: a structural equation model. MIS Quarterly, 21(3), 279-302.
  • Julien, C., & Roman, G. (2006). EgoSpaces: Facilitating Rapid Development of Context-Aware Mobile Applications. IEEE Trans Softw Eng, 32, 281-298.
  • Kalakota, R., & Robinson, M. (2002). M-Business: The Race toMobility. McGraw-Hill, Inc.
  • Karahanna, E., D.W., S., & N.L., C. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q 23, 183-213.
  • Keller, C. (2005). Virtual learning environments: three implementation perspectives. Learning, Media and Technology, 30(3), 299-311.
  • Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology accep- tance model Information&Management. Information&Management, 191-204.
  • Lopez-Nicolas, C., Molina-Castillo, F., & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information & Management, 45, 359-364.
  • Mathieson, K. (1991). Predicting user intentions: Comparing the technology model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
  • Moore, G., & and Benbasat, I. (1996). "Integrating Diffusion of Innovations and Theory of Reasoned Action Models to Predict Utilization of Information Technology by End-Users. Diffusion and Adoption of Information Technology, 132-146.
  • Nunnally, J. (1978). Psychometric Theory. New York: McGraw-Hill.
  • Olson, J., & Zanna, M. (1993). Attitudes and attitude change. Annual Review of Psychology, 28(3), 117-154.
  • Pavri, F. (1988). Empirical Study of the Factors Contributing to Microcomputer Usage. Unpublished doctoral dissertation. University of Western Ontario.
  • Plouffe, C., Hulland, J., & Vandenbosch, M. (2001). Research Report: Richness versus parsimony in modeling technology adoption decisions-understanding merchant adoption of a smart card-based payment system. Information Systems Research, 12(2), 208-222.
  • Rogers, E. (1995). The Diffusion of Innovations. New York: 1995.
  • Safar, M., Sawwan, H., Taha, M., & Al-Fadhli, T. (2009). Virtual social networks online and mobile systems. Mob Inf Syst, 5, 233-253.
  • Siau, K., & Shen, Z. (2003). Building Customer Trust in Mobile Commerce. Communications of the ACM, 46(4), 91-94.
  • Siau, K., Lim, P., & Shen, Z. (2001). Mobile Commerce-Promises, Challenges and Research Agenda. Journal of Database Management, 12, 4-13.
  • Tavakolian, H. (1989). Linking the Information Technology Structure With Organizational Competitive Strategy: A Survey. MIS Quarterly, 13(3), 309-317.
  • Taylor, S., & Todd, P. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176.
  • Tsang, M., Ho, S., & Liang, T. (2004). Consumer attitudes toward mobile advertising: an empirical study. International Journal of Electronic Commerce, 8(3), 65-78.
  • Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
  • Venkatesh, V., & Morris, M. (2000). Why do not men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115-139.
  • Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  • You, I., & Hara, T. (2010). Mobile and Wireless Networks. Mob Inf Syst, 6, 1-3.
Toplam 47 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Tuğba Koç Bu kişi benim

Aykut Hamit Turan Bu kişi benim

Yayımlanma Tarihi 1 Aralık 2014
Yayımlandığı Sayı Yıl 2014 Cilt: 9 Sayı: 2

Kaynak Göster

APA Koç, T., & Turan, A. H. (2014). MOBİL SABİS KABUL VE KULLANIMI: SAKARYA ÜNİVERSİTESİNDE AMPİRİK BİR DEĞERLENDİRME. Bilgi Ekonomisi Ve Yönetimi Dergisi, 9(2), 163-175.