Journals / Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2012 / Cilt: 27 - Sayı: 2

An Integrative Model Proposition On Behavioural Factors AffectingIntention of Use In Information Technologies Implications

Bilişim Teknolojileri Uygulamalarında Kullanım Niyetine Etki Eden Davranışsal Faktörleri Belirlemeye Yönelik Bütünleşik Bir Model Önerisi

Pages
93–114
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This model is tested with Structural Equation Modeling.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Information systems are establishedto increase firm performance however they have very high investment costs and they are also time taking projects.
📊
Key Findings & Data:Unless appropriate components are supplied they may not achieve expected results and fail.
💡
Conclusion & Impact:This model is tested with Structural Equation Modeling.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Information systems are establishedto increase firm performance however they have very high investment costs and they are also time taking projects. Unless appropriate components are supplied they may not achieve expected results and fail. One of the fundamental problems in the information systems practices is the fragility of the users in the acceptance of the system. Although Technology Acceptance Model is highly preferred model concerning the acceptance of information technologies as well asusage, researches prove that there is still a need for the improvement of the model. In this study technology readiness is their reintroduced usage to the model as an antecedent of perceived ease of use and perceived usefulness, whereas satisfaction is considered as a mediator between technology readiness and intention. This model is tested with Structural Equation Modeling.

Özet

Bilişim sistemleri işletme performansını artırmaya yönelik olarak kurulan ancak aynı zamanda maliyetli ve zaman alıcı projelerdir. Bu projeler uygun bileşenler sağlanmadığında sonuçlanabilmektedir. Bilişim teknolojisi uygulamalarında temel sorunlardan biri kullanıcıların sistemi kabulündeki zayıflıklarıdır. Teknoloji Kabul Modeli, bilişim teknolojilerinin kabulü ve kullanımı ile ilgili en çok benimsenen model olmakla birlikte, modele ilişkin yapılan araştırmalar modelin geliştirilme gereksinimini ortaya çıkarmıştır. Bu çalışmada kurumsal kaynak planlama sistemlerinin kullanımında, algılanan kullanım kolaylığı ve yararının öncülü olarak teknolojiye hazırlık araştırma modeline dahil edilmiş, kullanım memnuniyeti ise kolaylık ve yarar algıları ile niyet arasında düzenleyici olarak ele alınmıştır. Çözümleme Yapısal Eşitlik Modellemesi ile test edilmiştir.

🔖

Cite This Article

ÖZMEN, Ö. N. T., ERİŞ, E. D., ÖZER, P. S. (2022). An Integrative Model Proposition On Behavioural Factors AffectingIntention of Use In Information Technologies Implications. Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 27 - Sayı: 2, 93–114. https://ajindex.com/articles/490573

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Bandalos, D.L. (2002). The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling, Structural Equation Modeling, 9(1):78-102.
  2. Baron, R.M. ve Kenny, D.A. (1986). The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations, Journal of Personality and Social Psychology, 51(6):1173-1182.
  3. Cattell, R.B. ve Bursdal, C.A. (1975). The Radial Parcel Double Factoring Design: A Solution to the Item-vs-Parcel Controversy, Multivariate Behavioral, 10(2):165-179.
  4. Cheng, E.W.L. (2001). SEM Being More Effective than Multiple Regression in Parsimonious Model Testing for Management Development Research, Journal of Management Development, 20(7):650-667.
  5. Chou, S.W. ve Chang, Y.C. 2008. The implementation factors that influence the ERP benefits, Decision Support Systems, 46(1):149-157.
  6. Cronin, J.J., Brady, M.K. ve Hult, G.T.M. 2000. Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments, Journal of Retailing, 76(2):193-218.
  7. Davis, F.D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3):319-340.
  8. Davis, F.D., Bagozzi, R.P. ve Warshaw, P.R. 1989. User acceptance of computer technology: a comparison of two theoretical models, Management Science, 35(8):982-1003.
  9. Forslund, H. 2010. ERP Systems' Capabilities for supply chain performance management, Industrial Management & Data Systems, 110 (3):351-367. Fusilier ve Durlabhji, 2005. An exploration of student internet use in India: the technology acceptance model and the theory of planned behavior, Campus Wide Information Systems, 22(4):233-246.
  10. Hau, K. ve Marsh, H.W. (2004). The Use of Item Parcels in Structural Equation Modeling: Non-normal Data and Small Sample Sizes, British Journal of Mathematical Statistical Psychological Society, 57:327-351.
  11. Hodgkinson, G.P. ve Sadler-Smith, E. (2003). Complex or Unitary? A Critique and Empirical Re-assessment of the Allinson Hayes Cognitive Style Index, Journal of Occupational and Organizational Psychology, 76(2):243- 268. Holt, J.K. (2004). Item Parceling in Structural Equation Models for Optimum Solutions, Annual Meeting of the Mid-Western Educational Research Association, Oct 13-16, 2004.
  12. Colombus OH, Proceedings:2-7.
  13. Judd, C.M., Kenny, D.A. ve McClelland, G.H. (2001). Estimating and Testing Mediation in Within-Subject Designs, Psychologi