Açıköğretim Fakültesi Çerçevesinde Bilişim Sistemleri Başarı Modelinin Geçerlenmesi
Year 2015,
Issue: 64, 101 - 114, 30.10.2015
Ersin Karaman
Mehmet Cem Bölen
Abstract
Uzaktan ve açık öğretimin en önemli bileşeni olan öğretim yönetim sistemlerinin eğitim faaliyetlerini daha iyi yönetebilmek amacı ile değerlendirilmesi ve iyileştirilmesi gerekmektedir. Bu çalışmada Atatürk Üniversitesi Açık Öğretim Fakültesi (ATA-AOF) Öğretim Yönetim Sistemi (ÖYS) DeLone ve McLean’in bilişim sistemleri başarı modeli temel alınarak değerlendirilmiştir. Çalışmada kullanılan model ise yapısal eşitlik yaklaşımı kullanılarak değerlendirilmiştir. Ortaya çıkan sonuçlara göre sistem kalitesi, hizmet kalitesi ve bilgi kalitesinin ÖYS’nin başarıya ulaşmasında önemli bir etkiye sahip olduğu ortaya çıkmıştır. Ayrıca, D&M modelinin aksine hizmet kalitesinin algılanan sistem kullanımı ile ilgili önemli bir etkiye sahip olmadığı görülmüştür. Bu çalışma katılımcı sayısı (3067) ve bilişim sistemleri başarı modelinin Açıköğretim Fakültesi çerçevesinde değerlendirilmesi açısından alanyazın için büyük önem taşımaktadır.
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Perspective. Electronic Journal of e-Learning, 7(1), 61-70.
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models, dimensions, measures, and interrelationships. European Journal of
Information Systems, 17(3), 236-263.
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of IS success. Information Systems Research, 8(3), 240-253.
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models, dimensions, measures, and interrelationships. European Journal of
Information Systems, 17(3), 236-263.
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success model: An examination of IS success at the individual level. Information
& Management, 46(3), 159-166.
- Rai, A., Lang, S. S., Welker, R. B. (2002). Assessing the validity of IS success models:
An empirical test and theoretical analysis. Information Systems Research, 13(1),
50-69.
- Ramayah, T., & Lee, J. W. C. (2012). System Characteristics, Satisfaction and ELearning
Usage: A Structural Equation Model (SEM). Turkish Online Journal
of Educational Technology-TOJET, 11(2), 196-206.
- Roca, J. C., Chiu, C. M., Martínez, F. J. (2006). Understanding e-learning continuance
intention: An extension of the Technology Acceptance Model. International
Journal of Human-Computer Studies, 64(8), 683-696.
- Wang, Y. S. (2003). Assessment of learner satisfaction with asynchronous electronic
learning systems. Information & Management, 41(1), 75
- Wang, Y. S. (2008). Assessing e-commerce systems success: a respecification and
validation of the DeLone and McLean model of IS success. Information Systems
Journal, 18(5), 529-557.
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of the DeLone and McLean model of information systems success. Government
Information Quarterly, 25(4), 717-733.
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in an organizational context: Scale development and validation. Computers in
Human Behavior, 23(4), 1792-1808.
Year 2015,
Issue: 64, 101 - 114, 30.10.2015
Ersin Karaman
Mehmet Cem Bölen
References
- Alsabawy, A. Y., Cater-Steel, A., Soar, J. (2013). IT infrastructure services as a requirement
for e-learning system success. Computers & Education, 69, 431-451.
- Arbaugh, J. B. (2002). Managing the on-line classroom: A study of technological and
behavioral characteristics of web-based MBA courses. The Journal of High
Technology Management Research, 13(2), 203-223.
- Cavus, N., Uzunboylu, H., Ibrahim, D. (2009). Student opinion towards using an open
source learning management system together with a collaborative tool. Cypriot
Journal of Educational Sciences, 3(2), 120-129.
- Chau, P. Y., Hu, P. J. H. (2001). Information technology acceptance by individual
professionals: A model comparison approach. Decision Sciences, 32(4), 699-
719.
- Chen, H. J. (2010). Linking employees’ e-learning system use to their overall job
outcomes: An empirical study based on the IS success model. Computers &
Education, 55(4), 1628-1639.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of
information technology. MIS Quarterly, 13(3), 319-340.
- DeLone, W. H., McLean, E. R. (1992). Information systems success: The quest for the
dependent variable. Information Systems Research, 3(1), 60-95.
- DeLone, W. H., McLean, E. R. (2003). The DeLone and McLean model of information
systems success: a ten-year update. Journal of Management Information Systems,
19(4), 9-30.
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systems in two-year colleges, PhD. Thesis, Nova Southeastern University.
- Freeze, R. D., Alshare, K. A., Lane, P. L., Joseph Wen, H. (2010). IS success model in elearning
context based on students' perceptions. Journal of Information Systems
Education, 21(2), 173.
- Fornell, C., Larcker, D. F. (1981). Evaluating structural equation models with unobservable
variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
- Hair, J., Black, W., Babin, B., Anderson, R., Tatham, R. (2006). Multivariate Data
Analysis, (6th edn). Upper Saddle River, New Jersey: Pearson Prentice Hall.
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. (2010). Multivariate Data Analysis,
(7th edn). Prentice Hall, Upper Saddle River, New Jersey.
- Halawi, L. A., McCarthy, R. V., Aronson, J. E. (2007). An Empirical Investigation of
Knowledge Management Systems' success. The Journal of Computer Information
Systems, 48(2), 121-136.
- Hassanzadeh, A., Kanaani, F., Elahi, S. (2012). A model for measuring e-learning systems
success in universities. Expert Systems with Applications, 39(12), 10959-
10966.
- Holsapple, C. W., Lee-Post, A. (2006). Defining, Assessing, and Promoting E-Learning
Success: An Information Systems Perspective. Decision Sciences Journal of
Innovative Education, 4(1), 67-85.
- Hooper, D., Coughlan, J., Mullen, M. R. (2008). Structural equation modelling: Guidelines
for determining model fit. The Electronic Journal of Business Research Methods,
6, 53–60.
- Islam, A. K. M. (2012). The Role of Perceived System Quality as Educators’ Motivation
to Continue E-learning System Use. AIS Transactions on Human-Computer
Interaction, 4(1), 25-43.
- Islam, A. N. (2013). Investigating e-learning system usage outcomes in the university
context. Computers & Education, 69, 387-399.
- Kanuka, H., Anderson, T. (2008). Ethical issues in qualitative e-learning research.
International Journal of Qualitative Methods, 6(2), 20-39.
- Kettinger, W. J., Lee, C. C. (1994). Perceived service quality and user satisfaction with
the information services function. Decision Sciences, 25(5-6), 737-766.
- Kim, J., Lee, J., Han, K., Lee, M. (2002). Businesses as buildings: Metrics for the
architectural quality of Internet businesses. Information Systems Research,
13(3), 239-254.
- Kulkarni, U. R., Ravindran, S., Freeze, R. (2006). A knowledge management success
model: Theoretical development and empirical validation. Journal of
Management Information Systems, 23(3), 309-347.
- Latchem, C., Özkul, A. E., Aydin, C. H., Mutlu, M. E. (2006). The Open Education
System, Anadolu University, Turkey: E-transformation in a mega-university.
Open Learning, 21(3), 221-235.
- Lee, J. K., Lee, W. K. (2008). The relationship of e-Learner’s self-regulatory efficacy
and perception of e-Learning environmental quality. Computers in Human
Behavior, 24(1), 32-47.
- Lin, H. F. (2007). Measuring online learning systems success: Applying the updated
DeLone and McLean model. Cyberpsychology & Behavior, 10(6), 817-820.
- Lee-Post, A. (2009). e-Learning Success Model: An Information Systems
Perspective. Electronic Journal of e-Learning, 7(1), 61-70.
- Leidner, D. E., Kayworth, T. (2006). Review: a review of culture in information systems
research: toward a theory of information technology culture conflict. MIS
Quarterly, 30(2), 357-399.
- Livari, J. (2005). An empirical test of the DeLone-McLean model of information system
success. ACM Sigmis Database, 36(2), 8-27.
- Jarvis, P. (2009). The routhledge international handbook of lifelong learning. NY:
Routledge Publishing.
- Mtebe, J. S., Raisamo, R. (2014). Challenges and instructors’ intention to adopt and use
open educational resources in higher education in Tanzania. The International
Review of Research in Open and Distributed Learning, 15(1), 249-271.
- Petter, S., DeLone, W., McLean, E. (2008). Measuring information systems success:
models, dimensions, measures, and interrelationships. European Journal of
Information Systems, 17(3), 236-263.
- Soliman, K. S., Mao, E., & Frolick, M. N. (2000). Measuring user satisfaction with data
warehouses: an exploratory study. Information & Management, 37(3), 103-110.
- Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model
of IS success. Information Systems Research, 8(3), 240-253.
- Soliman, K. S., Mao, E., Frolick, M. N. (2000). Measuring user satisfaction with data
warehouses: an exploratory study. Information & Management, 37(3), 103-110.
- Petter, S., DeLone, W., McLean, E. (2008). Measuring information systems success:
models, dimensions, measures, and interrelationships. European Journal of
Information Systems, 17(3), 236-263.
- Petter, S., McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS
success model: An examination of IS success at the individual level. Information
& Management, 46(3), 159-166.
- Rai, A., Lang, S. S., Welker, R. B. (2002). Assessing the validity of IS success models:
An empirical test and theoretical analysis. Information Systems Research, 13(1),
50-69.
- Ramayah, T., & Lee, J. W. C. (2012). System Characteristics, Satisfaction and ELearning
Usage: A Structural Equation Model (SEM). Turkish Online Journal
of Educational Technology-TOJET, 11(2), 196-206.
- Roca, J. C., Chiu, C. M., Martínez, F. J. (2006). Understanding e-learning continuance
intention: An extension of the Technology Acceptance Model. International
Journal of Human-Computer Studies, 64(8), 683-696.
- Wang, Y. S. (2003). Assessment of learner satisfaction with asynchronous electronic
learning systems. Information & Management, 41(1), 75
- Wang, Y. S. (2008). Assessing e-commerce systems success: a respecification and
validation of the DeLone and McLean model of IS success. Information Systems
Journal, 18(5), 529-557.
- Wang, Y. S., & Liao, Y. W. (2008). Assessing eGovernment systems success: A validation
of the DeLone and McLean model of information systems success. Government
Information Quarterly, 25(4), 717-733.
- Wang, Y. S., Wang, H. Y., & Shee, D. Y. (2007). Measuring e-learning systems success
in an organizational context: Scale development and validation. Computers in
Human Behavior, 23(4), 1792-1808.