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Social Construction of Technology: A Flexible Strategy for DL Success

Author

Listed:
  • Tanuj Singh

    (JIIT)

  • Alka Sharma

    (JIIT)

  • Chandra B. Singh

    (Voorhees College)

Abstract

The purpose of this study is to develop an acceptance model using a flexible strategy for the success of digital library (DL). Authors have conceptualized and developed a digital library acceptance model in this paper. Research begins with review of literature that helps the authors to put a theoretical schema for the model that is undergirded by the concepts of flexibility as envisaged in the concept of social construction of technology. Previous models of technology acceptance are referred to develop the digital library acceptance model. The model is constructed with the use of exploratory factor analysis and validated by confirmatory factor analysis using structural equation modeling technique. The findings suggest that technology like digital library can be successful if it is flexible and relevant to social groups. It is concluded that model can be used to identify the loopholes in the existing DL system to make it more useful for the society. The study has a high relevance for the librarians and policy makers, being applied in nature.

Suggested Citation

  • Tanuj Singh & Alka Sharma & Chandra B. Singh, 2016. "Social Construction of Technology: A Flexible Strategy for DL Success," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(3), pages 265-273, September.
    • Handle: RePEc:spr:gjofsm:v:17:y:2016:i:3:d:10.1007_s40171-015-0116-y
    DOI: 10.1007/s40171-015-0116-y
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    References listed on IDEAS

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    1. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    2. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 1-10, March.
    3. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    Cited by:

    1. C. O. Iroham & M. E. Emetere & H. I. Okagbue & O. Ogunkoya & O. D. Durodola & N. J. Peter & O. M. Akinwale, 2019. "Modified Pricing Model for Negotiation of Mortgage Valuation Between Estate Surveyors and Valuers and Their Clients," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(4), pages 337-347, December.
    2. Sanjay Dhir & Sushil, 2017. "Flexibility in Modification and Termination of Cross-Border Joint Ventures," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(2), pages 139-151, June.

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