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Investigating Effective Factors in User Success in Digital Libraries

Author Affiliations

  • 1Young Researchers Club, Torbat-e-Jam Branch, Islamic Azad University, Torbat-e-Jam, IRAN
  • 2 Ferdosi University of Mashhad, IRAN
  • 3 Young Researchers Club, Tabriz Branch, Islamic Azad University, Tabriz, IRAN

Res. J. Recent Sci., Volume 1, Issue (9), Pages 23-30, September,2 (2012)

Abstract

Digital libraries have attracted many attentions during last year’s because they have made it possible to access information everywhere in the world. From the other hand, despite many studies on evaluating digital libraries and for the complicated nature of evaluating digital libraries, many studies should be done in this field. This paper aims to evaluate digital libraries via the conceptual model of Rahman. For this purpose, using Cochran formula, a sample size of 100 people was achieved through purposeful sampling method at 5% level. The results showed that service quality and time by satisfaction creation in the users and system service quality by motivating the users contribute to the user success.

References

  1. Ambati V., Balakrishnan N. and Reddy R., The Digital Library of India Project: Process, Policies and Architecture, 1-9 (2007)
  2. Powell T. and Dent-Micallef A., Information Technology as Competitive Advantage: The Role of Human, Business, and Technology Resources, Strategic Management, 18(5), 375–405 (1997)
  3. Marchionini G., Plaisant C. and Shneiderman B., Children's Use of the Yahooligans! Web Search Engine: I. Cognitive, Physical and Affective Behaviors on FactBased Search Tasks, Journal of the American Society for Information Science, 51(7), 646-665 (2000)
  4. Digital Libraries Initiative, High Level Expert Group on Digital Libraries; Final Report: Digital Libraries: Recommendations and Challenges for the Future, 1-17 (2009)
  5. Belkin N. and Croft B.,Information Filtering and Information Retrieval: Two Sides of Same Coin?Communications of the ACM, 35(12), 29-38 (1992)
  6. Arms, William, Digital Libraries Cambridge, MA: MIT Press. Retrieved October 25 (2003) , from: http://www.cs.cornell.edu/wya/DigLib/MS1999/index.html.
  7. Baker L.J., Science Teachers Use of Online Resources and the Digital Library For earth System Education, Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries, New York, NY, ACM, 1-10 (2009)
  8. Khoo M., NSDL User Survey, Retrieved, (2006) from http://www.ischool.drexel.edu/faculty/mkhoo/docs/nsdl_06_user_survey.pdf
  9. Recker M., Perspectives on Teachers as Digital Library Users: Consumers, Contributors, and Designers, D-Lib Magazine, 9(3), (2006)Retrieved from http://www.dlib.org/dlib/september06/recker/09recker.html.
  10. Jung J.T., Measuring User Success in the Digital Library Environment, Dissertation Abstracts International, (UMI No.DAI –A 58/06) , Retrieved Nov. 22, 2004, from Digital Dissertations database (1997)
  11. Soergel D., Digital Libraries and Knowledge Organization, 1-32 (2008)
  12. Gill Mandip, Green HRM: People Management Commitment to Environmental Sustainability, Research Journal of Recent Sciences, 1, 244-252, (2012)
  13. Borgman C.L., From Gutenberg to the Global Information Infrastructure: Access to Information in the Networked World, Cambridge, MA: MIT Press (2000)
  14. Xu B., Understanding Teacher Users of a Digital Library Service: A Clustering Approach Dissertation Submitted In Partial Fulfillment of The Requirements for the Degree of Doctor of Philosophy in Instructional Technology and Learning Sciences, 1-186 (2011)
  15. Noerr P., the Digital Library Toolkit (2003) Available at: http://www.sun.com/products-nsolutions/edu/whitepapers/ digitaltoolkit.html.
  16. Raorane A.A, Kulkarni R.V. and Jitkar B.D., Association Rule – Extracting Knowledge Using Market Basket Analysis, Research Journal of Recent Sciences , 1(2), 19-27 (2012)
  17. Garrity E.J. and Sanders G.L., Information Systems Success Measurement, Hershey, USA: Idea Group Publishing (1998)
  18. Molla A. and Licker P., E-commerce Systems Success: An Attempt to Partially Extend and Respectively the Delone & McLean Model of IS Success, Journal of Electronic Commerce Research, 2(4), 131-141 (2001)
  19. Fox J., Structural Equation Models, Appendix to an R and S-PLUS Companion to Applied Regression, (2002)
  20. Spector P.E., Summated Rating Scale Construction: An Introduction, New bury Park, CA.: SAGE Publications, (1992)
  21. Kittur Parveen and Hundekar S.G., NGOs and their Role in Development of Science - In Development of Rural Women Entrepreneurship,Research Journal of Recent Sciences, 1, 410-414 (2012)
  22. Baroudi J. and Orlikowski W.J., A Short-Form Measure of User Information Satisfaction: A Psychometric Evaluation of Notes on Use, Journal of Management Information Systems, 49(4), 44-59 (1988)
  23. Golafshani N., Understanding Reliability and Validity in Qualitative Research, Journal of the Qualitative Report, 8(4), 597-607 (2003)
  24. Ives B., Olson H. and Baroudi J., The Measurement of User Information Satisfaction, Communications of the ACM, 26(10), 785-793, (1983)
  25. Delone W.H. and McLean E.R., The DeLone and M Hooman cLean Model of Information, Systems Success: A Ten-Year Update, Journal of Management Information Systems, 19(4), 9-30 (2003)
  26. Hooman H., Structural Equation Modeling Using Lisrel Software, Samt publication, 2nd Ed(2009)
  27. Belsare Satish and Patil Sunil, Study and Evaluation of user’s behavior in e-commerce Using Data Mining, Research Journal of Recent Sciences, 1, 375-387 (2012)
  28. Alexander J.A., Liechtenstein R.O. and Hellmann E., A causal model of voluntary turnover among nursing personnel in long term psychiatric setting, Research in Nursing and Health, 21(5), 415-427 (1998)
  29. Schreiber J.B., Nora A., King J., Amaury N. and J.K., Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review, The Journal of Educational Research, 323-337 (2006)
  30. Bacon L.D., Using Amosfor Structural Equation Modeling in Market Research, White, 1-18 (1997)
  31. Bagozzi R.P. and Yi Y., On the Evaluation of Structural Equation Model, Journal of Academy of Marketing Science, 16(1), 74–94 (1988)
  32. Carter R.L., Solutions for Missing Data in Structural Equation Modeling. Marymount University, Research and Practice in Assessment, 1(1), 1-6 (2006)
  33. Rahman F., An Exploratory Study of Factors that Influence Student User Success in an Academic Digital Library, Dissertation Prepared for the Degree of Doctorate of Philosophy: University of North Texas, 1-125(2007)