SavedAdd your journal

Journals / Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi / 2011 / Cilt: 12 - Sayı: 2

A STUDY ON DEVELOPING TECHNOLOGY READINESS SCALE

TEKNOLOJİYE HAZIRLIK DÜZEYİNİN BELİRLENMESİNE YÖNELİK BİR ÖLÇEK UYARLAMA ÇALIŞMASI

Pınar Süral Özer
Engin Deniz Eriş
Ömür Neczan Timurcanday Özmen
Pages
321–333
Publication Date
2011-12-01
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)

After exploratory factor analysis, 23 items that have factor load at least 0.45 for four dimensions are selected and with confirmatory factor analysis results are validated

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Information age, the rapid growth of technology has led to an increasing importance in the business world.
📊
Key Findings & Data:From this point, the aim of the study is adapting Technology Readiness Scale, which was developed by Parasuraman (2000) to measure users intention to technology usage, into Turkish and developing a reliable and valid scale.
💡
Conclusion & Impact:After exploratory factor analysis, 23 items that have factor load at least 0.45 for four dimensions are selected and with confirmatory factor analysis results are validated
🔬Design:Research Article
📍Scope:2000 Verileri
⚙️Variables:Teknolojiye Hazırlık Ölçeği · Ölçek Uyarlama · Technology Readiness

Abstract

Information age, the rapid growth of technology has led to an increasing importance in the business world. However, it is more commonly the problems facing use of technology has come up. From this point, the aim of the study is adapting Technology Readiness Scale, which was developed by Parasuraman (2000) to measure users intention to technology usage, into Turkish and developing a reliable and valid scale. Sample of the study is 1289 people who has graduate degree and located in seven different geographical regions of Turkey. After exploratory factor analysis, 23 items that have factor load at least 0.45 for four dimensions are selected and with confirmatory factor analysis results are validated

Özet

Bilgi çağı, teknolojinin iş dünyasındaki öneminin artan bir hızla gelişmesine neden olmuştur. Bununla birlikte, teknoloji kullanımına dönük yaşanan sorunlar da daha sık gündeme gelmeye başlamıştır. Bu noktadan hareketle araştırmanın amacı, Parasuraman (2000)’ın kullanıcıların teknoloji kullanmaya istekliliklerini ölçmek üzere geliştirmiş olduğu Teknolojiye Hazırlık Ölçeğini Türkçeye uyarlayarak, geçerli ve güvenilir bir ölçek geliştirmek olarak belirlenmiştir. Araştırmanın örneklemini; Türkiye’nin yedi coğrafi bölgesine dağılmış, en az üniversite mezunu 1289 kişi oluşturmaktadır. Açımlayıcı faktör analizi sonucunda, dört boyutu ölçmek üzere faktör yükü 0,45’in üzerinde kalan 23 madde korunarak diğerleri elenmiş ve doğrulayıcı faktör analizi gerçekleştirilerek model doğrulanmıştır

🔖

Cite This Article

Özer, P. S., Eriş, E. D., Özmen, Ö. N. T. (2011). A STUDY ON DEVELOPING TECHNOLOGY READINESS SCALE. Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, Cilt: 12 - Sayı: 2, 321–333. https://ajindex.com/articles/74493

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Bandoyopadhyay, K. (2010). User Acceptance of ERP Systems in the United States. İndirilma Tarihi: 03 Ocak 2011. WWW:Web: http://www.swdsi.org/swdsi2010/SW2010_Proceedings/papers/PA 139.pdf Bayram, N. (2004). Sosyal Bilimlerde SPSS ile Veri Analizi. Bursa: Ezgi Kitapevi. Bitner, M.J., Brown, S.W. & Meuter, M.L. (2000). Technology Infusion in Service Encounters. Journal of Academy of Marketing Science, 28(Winter), 138-149.
  2. Büyüköztürk, Ş. (2002). Sosyal Bilimler için Veri Analizi El Kitabı İstatistik, Araştırma Deseni, SPSS Uygulamaları ve Yorum, 2. Baskı. Ankara:
  3. Pegem A Yayıncılık. Chou, S.W. & Chang, Y.C. (2008). The Implementation Factors that Influence the ERP Benefits. Decision Support Systems, 46(1), 149- 157. Davis, F.D. (1989).
  4. Percieved Usefulness, Percieved Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
  5. Deniz, K.Z. (2007). Psikolojik Ölçme Aracı Uyarlama. Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi, 40(1), 1-16.
  6. Fabrigar, L.R., Wegener, D.T., MacCallum, R.C. & Strahan, E.J. (1999). Evaluating the Use of Exploratory Factor Analysis in Psychological Research. Psychological Methods, 4(3), 272-299.
  7. Im, S., Bayus, B.L. & Mason, C.H. (2003). An Empirical Study of Innate Consumer Innovativeness, Personal Characteristics, and New- Product Adoption Behavior. Journal of the Academy of Marketing Science, 31(1), 61-73.
  8. Lam, S.Y., Chiang, J. & Parasuraman, A. (2008). The Effects of the Dimensions of Technology Readiness on Technology Acceptance: an Empirical Analysis. Journal of Interactive Marketing, 22(4), 19- 39. Lin, C-H, Shih, H-Y & Sher, P.J. (2007). Integrating Technology Readiness into Technology Acceptance: The TRAM Model. Psychology and Marketing, 24(7), 641-657.
  9. Meuter, M.L., Ostrom, A.L., Roundtree, R.I. & Bitnet, M.J. (2000). Self Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters. Journal of Marketing, 64(3), 50-65.
  10. Meuter, M.L., Bitner, M.J., Ostrom, A.L. & Brown, S.W. (2005). Choosing among Alternative Service Delivery Modes: An Investigation of Customer Trial of Self-Service Technologies. Journal of Marketing, 69(2), 61-83.
  11. Mick, D.G. & Fournier, S. (1998). Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies. Journal of Consumer Research, 25(2), 123-143.
  12. Özdamar, K. (2004). Paket Programlar ile İstatistiksel Veri Analizi, Genişletilmiş 5. Baskı. Eskişehir: Kaan Kitapevi. Parasuraman, A. (2000). Technology Readiness I