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Journals / Türk Kütüphaneciliği / 2013 / Cilt: 27 - Sayı: 4

Dijital Kütüphanelerin Kullanıcı Kabul Belirleyicileri

Determinants of User Acceptance of Digital Libraries

Mesut KURULGAN
F. Zeynep ÖZATA
Pages
585–600
Publication Date
2022-11-05
DOI
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AI Summary & Key Takeaways

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

Study results showedthat attitude toward use and subjective norm have an important positive effect but perceived behavioralcontrol does not have an effect on intention.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Using the Decomposed Theory of Planned Behavior this research aims to determine the factors thataffect the intentions of teaching staff towards using digital library services.
📊
Key Findings & Data:Data are collected from 426respondents and structural equation modeling is used to analyze the responses.
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Conclusion & Impact:Study results showedthat attitude toward use and subjective norm have an important positive effect but perceived behavioralcontrol does not have an effect on intention.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Using the Decomposed Theory of Planned Behavior this research aims to determine the factors thataffect the intentions of teaching staff towards using digital library services. Data are collected from 426respondents and structural equation modeling is used to analyze the responses. Study results showedthat attitude toward use and subjective norm have an important positive effect but perceived behavioralcontrol does not have an effect on intention. Another finding is that compatibility is more effectivethan relative advantage in this context and it is seen that the system s ease of use is more related withperceived behavioral control rather than attitude.

Özet

Bu çalışma, Parçalara Bölünmüş Planlı Davranış Teorisini kullanarak öğretim üyelerinin dijitalkütüphane hizmetlerini benimseme niyetlerini belirlemeyi amaçlamaktadır. 426 katılımcıdan toplananverinin analizi için yapısal eşitlik modellemesinden yararlanılmıştır. Çalışma sonuçları kullanımayönelik tutum ve öznel normun niyet üzerinde olumlu yönde önemli bir etkiye sahip olduğunu, algılanandavranış denetiminin ise bir etkisi olmadığını göstermektedir. Diğer bir bulgu ise, bu bağlamda uyumungöreli üstünlük değişkeninden daha etkili olduğu ve sistemin kullanım kolaylığı değişkeninin de tutumyerine algılanan davranış denetimi ile daha ilişkili olduğudur.

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Cite This Article

KURULGAN, M., ÖZATA, F. Z. (2022). Dijital Kütüphanelerin Kullanıcı Kabul Belirleyicileri. Türk Kütüphaneciliği, Cilt: 27 - Sayı: 4, 585–600. https://ajindex.com/articles/635218

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References (15)

  1. Ajzen, I. (1988). Attitudes, personality, and behavior. Maidenhead: Open University Press.
  2. Ajzen, I. (1991).
  3. The theory of planned behavior, Organizational Behavior and Human Decision Processes. 50 (2), 179-211.
  4. Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32 (4), 665-683.
  5. Ajzen, I. and Fishbein, M. (1980). Understanding attitudes and predicting social behavior. New Jersey: Prentice Hall, Inc, Englewood Cliffs. Anderson, J.C. and Gerbing, D.W. (1988). Structural equation modeling in practice: A review and recommenden two-step approach. Psychological Bulletin, 103 (3), 411-423.
  6. Armitage, C.J. and Conner, M. (1999). Distinguishing perceptions of control from self-efficacy: Predicting consumption of a low-fat diet using the theory of planned behavior. Journal of Applied Social Psychology, 29 (1), 72-90.
  7. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman and Company. Brown, S.A. and Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29 (3), 399-426.
  8. Bruner, G.C. and Kumar, A. (2005). Explaining consumer acceptance of handheld internet devices. Journal of Business Research, 58 (5), 553-558.
  9. Choi, H., Choi, M., Kim, J. and Yu, H. (2003). An emprical study on the adoption of information appliances with a focus on interactive tv. Telematics and Informatics, 20 (2), 161-183.
  10. Compeau D.R., Meister, D.B. and Higgins, C.A. (2007). From prediction to explanation: Reconceptualizing and extending the perceived characteristics of innovating. Journal of the Association for Information Systems JAIS, 8 (8), 409-439.
  11. Compeau, D.R. and C.A. Higgins (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19 (2), 189-211.
  12. Dabholkar, P.A. and Bagozzi, R.P. (2002). An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors. Academy of Marketing Science Journal, 30 (3), 184-201.
  13. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 318-340.
  14. Eastlick, M.A. (1993). Predictors of videotex adoption. Journal of Direct Marketing, 7 (3), 66-74.
  15. Fishbein, M. and Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Add