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Journals / İşletme ve Ekonomi Araştırmaları Dergisi / 2012 / Cilt: 3 - Sayı: 2

The Use of Technology Acceptance Model in Enterprise Resource Planning Implementations

Teknoloji Kabul Modeli'nin Kurumsal Kaynak Planlaması Uygulamalarında Kullanılması

Gokhan OZER
Yasar AKCA
Pages
79–96
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

These results reveal that all hypotheses have been supported and the study is coherent the findings of similar studies within the literature.

📌 3 Key Takeaways

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Objective & Hypothesis:Technology Acceptance Model (TAM) is a model by Davis (1989) which was developed after improving his ideas previously-used in his doctoral dissertation that states the acceptance of the new technology of end-users can be formed by the aid of (1) Perceived usefulness and (2) Perceived ease of use.
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Key Findings & Data:This study examines the user factor in order to determine the success of Enterprise Resource Planning (ERP) systems, within the framework of TAM. 236 firms which use ERP softwares participated in the survey study.
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Conclusion & Impact:These results reveal that all hypotheses have been supported and the study is coherent the findings of similar studies within the literature.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Technology Acceptance Model (TAM) is a model by Davis (1989) which was developed after improving his ideas previously-used in his doctoral dissertation that states the acceptance of the new technology of end-users can be formed by the aid of (1) Perceived usefulness and (2) Perceived ease of use. Technology Acceptance Model guided the ideas which defending that success of the information systems - technologically - can be achieved not only by technical and administrative features of the users but also by their personal characteristics, expectations and perceptions; user's perception on various issues can affect this success as well. This study examines the user factor in order to determine the success of Enterprise Resource Planning (ERP) systems, within the framework of TAM. 236 firms which use ERP softwares participated in the survey study. Results prove that perceived ease of use and perceived usefulness have a positive and statistically significant effect on ERP implementation success as well as on perceived organizational performance. These results reveal that all hypotheses have been supported and the study is coherent the findings of similar studies within the literature.

Özet

Teknoloji Kabul Modeli (TKM), Davis (1989) tarafından -daha önce doktora tezinde kullandığı (1986) fikirleri geliştirmesi sonrasında- yeni bir teknolojinin kullanıcı tarafından kabulünün; (1) Algılanan Fayda ve (2) Algılanan Kullanım Kolaylığı değişkenlerine bağlı olarak oluşabileceğini savunan bir modeldir. Teknoloji Kabul Modeli, -teknolojik olarak- bilişim sistemlerinin başarısının sadece teknik ve yönetsel özelliklere göre değil aynı zamanda sistem kullanıcılarının kişisel özelliklerine, beklentilerine ve algılarına göre ortaya çıkabileceğini ve çeşitli konulardaki kullanıcı algısının da bu başarıyı etkileyebileceğini savunan fikirlere yol göstermiştir. Bu çalışma Kurumsal Kaynak Planlaması (KKP) sistemlerinin başarısının belirlenmesinde, kullanıcı faktörünü TKM çerçevesinde incelemektedir. KKP programlarını kullanan 236 firma ankete katılmıştır. Algılanan kullanım kolaylığı ve algılanan faydanın hem KKP uygulama başarısı hem de algılanan organizasyonel performans üzerinde istatistiki olarak anlamlı ve pozitif yönde etkisi olduğu tespit edilmiştir. Bu sonuçlar tüm hipotezlerin desteklendiğini, literatürdeki benzer çalışmaların bulgularıyla örtüştüğünü ortaya koymaktadır.

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Cite This Article

OZER, G., AKCA, Y. (2022). The Use of Technology Acceptance Model in Enterprise Resource Planning Implementations. İşletme ve Ekonomi Araştırmaları Dergisi, Cilt: 3 - Sayı: 2, 79–96. https://ajindex.com/articles/556674

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References (16)

  1. Adamson, I. & Shine, J. (2003). Extending The New Technology Acceptance Model to Measure The End User Information Systems Satisfaction in a Mandatory Environment: A Bank's Treasury, Technology Analysis & Strategic Management, 15(4), 441-455.
  2. Agarwal, R. & Prasad, J. (1998). The Antecedents and Consequents of User Perceptions in Information Technology Adoption, Decision Support Systems, 22, 15-29.
  3. Agarwal, R. & Prasad, J. (1999). Are Individual Differences Germane to the Acceptance of New Information Technologies?, Decision Sciences, 30(2), 361-391.
  4. Agarwal, R.; Tanniru, M. & Wilemon, D. (1997). Assimilating Information Technology Innovations: Strategies and Moderating Influences, IEEE Transactions on Engineering Management, 44(4), 347-358.
  5. Al-Gahtani, S.S. & King, M. (1999).
  6. Attitudes, Satisfaction and Usage: Factors Contributing to Each in The Acceptance of Information Technology, Behaviour & Information Technology, 18(4), 277-297.
  7. Ashill, N.J. & Jobber, D. (1999). The Impact of Environmental Uncertainty Perceptions, Decision Maker Characteristics and Work Environment Characteristics on The Perceived Usefulness of Marketing Information Systems (MkIS): A Conceptual Framework, Journal of Marketing Management, 15, 519-540.
  8. Carayannis, E.G. & Turner, E. (2006). Innovation Diffusion and Technology Acceptance: The Case of PKI Technology, Technovation, 26(7), 847-855.
  9. Chau, P.Y.K. & Hu, P.J.H. (2001). Information Technology Acceptance by Individual Professionals: A Model Comparision Approach, Decision Sciences, 32(4), 699-719.
  10. Choe, J.M. (1998). The Effects of User Participation on The Design of Accounting Information Systems, Information&Management, 34, 185-198.
  11. Choi, B.; Poon, S.K. & Davis, J.G. (2008). Effects of Knowledge Management Strategy on Organizational Performance: A Complementarity Theory Based Approach, Omega, 36, 235-251.
  12. Chou, S.W. & Chang, Y.C. (2008). The Implementation Factors That Influence The ERP Benefits, Decision Support Systems, 46, 149-157.
  13. Chung, S.H. & Snyder, C.A. (2000). ERP Adaption: A Technological Evoluation Approach, International Journal of Agile Management Systems, 2(1), 24-32.
  14. Cronbach, L.J. (2004). My Current Thoughts on Coefficient Alpha and Successor Procedures, University of California, CSE Report 643, 1-32.
  15. Dasgupta, S.; Granger, M. & McGarry, N. (2002). User Acceptance of E-Collaboration Technology: An Extension of The Technology Acceptance Model, Group Decision and Negotiation, 11, 87-100.
  16. Davis, F.D. (1986). A Technolo