You are here

Yeniliklerin Benimsenmesi Sürecinde Rol Oynayan Değişkenlerin Betimsel Tarama Yöntemiyle İncelenmesi

The Examination of the Variables Playing a Role on the Process of Adoption of Innovations by Descriptive Review Method

Journal Name:

Publication Year:

DOI: 
http://dx.doi.org/10.9779/PUJE429

Keywords (Original Language):

Abstract (2. Language): 
The purpose of this study is to make a suggestion to researches being published in the literature about diffusion and adoption of instructional technologies. In this way, some criteria were identified by the researchers and a descriptive review was made. As a result of the descriptive review, 65 articles have been reached that meet the criteria. Articles were analyzed in terms of key words, addressed innovation, size of working and tested hypotheses. As a result of the analysis 308 tested hypothesis were found explaining the adoption and diffusion. In these hypotheses attitude, intention and usage variables were the most tested. In these hypotheses, 156 of the most frequently repeated dependent variables were related to the intention, 95 of them were related to the attitude and 57 of them were related to the usage. Intention is the most of the addressed dependent variable. It is pointed out that in the articles subjective measurements are usually made related to the usage. However, in the literature it is expressed that correlation between subjective measurement and objective measurement is weak and attitude affects usage positively but positive attitude does not mean actual usage. Also there are some uncertainties related to what the intention predict in cross-cultural studies. Starting from this point, instead of building models with attitude and intention in possible studies in which explaining diffusion, adoption and acceptance of instructional technologies as an innovation or instead of testing hypothesis predicting usage with intention and attitude; it could be proposed that there is a requirement in terms of theory and practice for conducting studies which are intended explain actual usage in educational context.
Abstract (Original Language): 
Bu çalışmanın amacı, bir yenilik olarak öğretim teknolojisinin yayılımı ve benimsenmesi konusunda alanyazında yayınlanmış olan araştırma makalelerinden hareket ederek, gelecekte yapılması planlanan çalışmalara yönelik bir öneri getirmektir. Buradan hareketle, araştırmacılar tarafından belirlenen ölçütlere göre alanyazında betimsel tarama yapılmıştır. Yapılan betimsel tarama sonucunda, ölçütlere uyan 65 makaleye ulaşılmıştır. Makaleler anahtar sözcük, ele aldığı yenilik, çalışma grubu ve büyüklüğü ile test edilen hipotezler açısından analiz edilmiştir. Analiz sonucunda çalışmaya dâhil edilen makalelerde benimseme ve yayılımı açıklamaya dönük olarak 308 tane hipotezin test edildiği bulunmuştur. Bu hipotezlerde, en sık tekrarlanan bağımlı değişkenlerin 156 tanesinin niyetle, 95 tanesinin tutumla, 57 tanesinin kullanımla ilgili olduğu belirlenmiştir. Makalelerde kullanımla ilgili olarak çoğunlukla öznel ölçümler yapıldığı dikkati çekmiştir. Oysa alanyazında, öznel ölçüm ve nesnel ölçüm arasındaki ilişkinin zayıf olduğu, tutumun kullanıma olumlu etkisinin olmasının yanında gerçek kullanımı beraberinde getirmediği ve niyetin kültürlerarası çalışmalarda neyi yordadığına ilişkin belirsizlikler olduğu ifade edilmektedir. Buradan yola çıkarak bir yenilik olarak öğretim teknolojisinin yayılımı ve benimsenmesini açıklamaya dönük yapılabilecek olası çalışmalarda, benimseme ve yayılımı niyet ve tutum üzerinden öngörmeye yönelik modelleri geliştirmek ve hipotezleri test etmek yerine, eğitsel bağlamda gerçek kullanımı açıklamaya yönelik çalışmaların yapılmasına kuram ve uygulama açısından gereksinim olduğu ileri sürülebilir.
FULL TEXT (PDF): 
53-71

REFERENCES

References: 

Ajzen, I. (1991). The theory of planned behavior.
Organizational Behavior and Human
Decision Processes, 50(2), 179-211.
Alenezi, A. R., AbdulKarim, A. M., ve Veloo, A. (2010).
An empirical investigation into the role of
enjoyment, computer anxiety, computer
self-efficacy and internet experience in
influencing the students’ intention to use
e-learning: Acase study from Saudi Arabian
governmental univeriıties. The Turkish
Online Journal of Educational Technology,
9(4), 22-34.
Chen, H.R., ve Huang, H.L. (2010). User acceptance
of mobile knowledge management
learning system: Design and analysis.
Educational Technology & Society, 13 (3),
70–77.
Duan, Y., He, Q., Feng, W., Li, D., ve Fu, Z. (2010).
A study on e-learning take-up intention
from an innovation adoption perspective:
A case in China. Computers & Education, 55,
237–246.
Fishbein, M. ve Ajzen I. (1975). Belief, attitude,
intention, and behavior: An introduction
to theory and research. Addison-Wesley,
Reading, MA.
Guzzo, R.A., Jackson, S.E., ve Katzell R.A. (1987).
Meta-Analysis Analysis. Research in
organizational behavior, (9), 407-442.
Keung, J., Jeffery, R., ve Kitchenham, B. (2004). The
challenge of introducing a newsoftware
costestimation technology into a small
software organisation, in: Proceedings of
the 2004 Australian Software Engineering
Conference (ASWEC’04), IEEE Computer
Society Press, 52–59.
Kim, S. ve Garrison, G. (2009). Investigating
mobile wireless technology adoption: An
extension of the technology acceptance
model. Information Systems Frontiers, 11,
323–333
King, W. R. ve He, J. (2005). Understanding the
role and methods of meta-analysis
in IS research. Communications of th
eAssociation for Information Systems, 16,
665-686.
Kopcha, T. J., ve Sullivan, H. J. (2007). Selfpresentation
bias in surveys of teachers’
educational technology practices.
Educational Technology Research and
Development, 55(6), 627-646.
Lee, Y., Kozar, K.A. ve Larsen, K.R.T. (2003). The
technology acceptance model: Past,
present, and future. Communications of
the Association for Information Systems, 12
(50), 752-780.
Ma, Q. ve Liu, L. (2004). The technology acceptance
model: A meta-analysis of empirical
findings. Journal of Organizational and End
User Computing, 16(1), 59–72.
Mazman, S. G. ve Usluel, Y. K. (2010). Modeling
educational usage of facebook. Computers
& Education, 55(2), 444-453.
Rogers, E.M. (2003). Diffusion of innovations (5th
edition). The Free Press. New York.
Schepers, J., ve Wetzels, W. (2007). A meta-analysis
of the TAM-investigating subjecting norm
and moderation affects. Information and
management, 44(1), 90–103.
Straub, D.W. (1994). The effect of culture on IT
diffusion E-mail and FAX in Japan and the
U.S. Information Systems Research, 5(1),
23-47.
Straub, D., Limayem, M., ve Karahanna-Evaristo,
E. (1995). Measuring system usage
– implications for IS theory testing.
Management Science, 41(8), 1328–2134.
Sury, D. W. (1997). Diffusion Theory and Instructional
Technology. Paper presented at the
Annual Conference of the Association
for Educational Communications and
Technology (AECT), Albuquerque, New
Mexico February. İnternetten 24 Ocak
2011’de http://www2.gsu.edu/~wwwitr/
docs/diffusion/ adresinden alınmıştır.
Turner, M., Kitchenham, B., Brereton, P., Charters, S.
ve Budgen, D. (2010). Does the technology
acceptance model predict actual use? A
systematic literature review. Information
and Software Technology, 52, 463–479
Usluel, Y. K. ve Mazman, S. G. (2010). Eğitimde
yeniliklerin yayılımı, kabulü ve
benimsenmesi sürecinde yer alan öğeler:
Bir içerik analizi çalışması. Çukurova
Üniversitesi Eğitim Fakültesi Dergisi, 3(39).
60-74.
Venkatesh, V. ve Davis, F.D. (2000). A theoretical
extension of the technology acceptance
model: Four longitudinal field studies.
Management Science, 46(2), 186-204.
Wang, Y.S., Wu, M.C. ve Wang, H.Y. (2009).
Investigating the determinants and age
and gender differences in the acceptance
of mobile learning. British Journal of
Educational Technology, 40(1), 92–118.
Y. Koçak Usluel, Ü. Avcı, M. Kurtoğlu, N. Uslu
62 Pamukkale

Thank you for copying data from http://www.arastirmax.com