A Survey on Big Data Analytics (BDA) Implementation and Practices in Medical Libraries of Punjab

Authors

  • Zakria DLIS, Islamia University of Bhawalpur, Punjab, 25000, Pakistan.
  • Khurshid Ahmad DLIS, Islamia University of Bhawalpur, Punjab, 25000, Pakistan.
  • Rubina Bhatti DLIS, Islamia University of Bhawalpur, Punjab, 25000, Pakistan.
  • Yousaf Khan University of Enginering and Technology, Jalozai Campus, Peshawar, 25000, Pakistan.
  • M. Abrar Khan Iqra National University, Peshawar, 25000, Pakistan.
  • Wisal Zafar Iqra National University, Peshawar, 25000, Pakistan.
  • Sheeraz Ahmed Iqra National University, Peshawar, 25000, Pakistan.

Keywords:

Big data, Big Data Analytics, BDA implementation, Current practice, Healthcare, Medical institute libraries

Abstract

The purpose of this study is to evaluate the perception of medical librarians, their capabilities, and the organizational infrastructure of medical institute and teaching hospital libraries of the Punjab for the convincing implementation of Big Data Analytics (BDA). Among the major objectives of this study were to determine the perceived ease of use, perceived usefulness, behavioral intentions, BDA skills of librarians, current practices, and actual use of BDA in these medical libraries. Survey method was employed to collect data from 156 medical librarians. Collected data was analyzed through SEM-PLS. Results of the study revealed that all the hypotheses were significantly supported (except-H2 and H5). The study showed a positive impact of perceived ease of use on perceived usefulness. Similarly, PU has a significant positive impact on BI, skills and current practices. Furthermore, there is a significant positive relationship between BI and Skills, and between current practices and Performance / actual use.

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Published

2023-09-17

How to Cite

Zakria, Khurshid Ahmad, Rubina Bhatti, Yousaf Khan, M. Abrar Khan, Wisal Zafar, & Sheeraz Ahmed. (2023). A Survey on Big Data Analytics (BDA) Implementation and Practices in Medical Libraries of Punjab. Journal of Computing & Biomedical Informatics, 5(02), 370–383. Retrieved from https://jcbi.org/index.php/Main/article/view/154