Big Data Analytics Implementation and Practices in Medical Institute Libraries of Pakistan-Reference-Cited by-同舟云学术

Big Data Analytics Implementation and Practices in Medical Institute Libraries of Pakistan

Published:2024-03-01 Issue:1 Volume:74 Page:29-40
ISSN:0024-2667
Container-title:Libri
language:en
Short-container-title:

Author:

Zakria ¹,Bhatti Rubina²,Ahmad Khurshid²^ORCID,Jan Saeed Ullah³

Affiliation:

1. 124261 Islamia College Peshawar , Peshawar , Pakistan

2. 54735 The Islamia University of Bahawalpur , Bahawalpur , Pakistan

3. 422550 Department of Library and Information Science, Khushal Khan Khattak University Karak , Karak , Pakistan

Abstract

Abstract The aim of this research was to analyze the contemporary practices of Big Data Analytics (BDA) in medical libraries of Pakistan and to explore ways for its implementation in these libraries. A cross-sectional study was carried out among medical librarians in Pakistan by using a Modified Technology Acceptance Model (MTAM) model, with collected data analyzed using Smart-PLS. The results revealed that lack of resources, technical expertise, and some other factors were significant hurdles in smooth implementation of BDA. It is concluded that the perception of medical librarians about adoption of BDA is very encouraging, which resultantly will improve the quality of healthcare services in the country.

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/libri-2023-0084/pdf

Reference70 articles.

1. Adetoro, J. A., S. A. Oyebade, M. A. Oladejo, and J. Azi. 2017. “Learning on the Move: The Behavioural Intentions of Nigerian Students with Disabilities.” In Paper presented at the ICEL 2017-Proceedings of the 12th International Conference on e-Learning.

2. Ahmad, K., Z. JianMing, and M. Rafi. 2019. “Librarian’s Perspective for the Implementation of Big Data Analytics in Libraries on the Bases of Lean-Startup Model.” Digital Library Perspectives 36 (1): 21–37. https://doi.org/10.1108/DLP-04-2019-0016.

3. Ahmed, S. H., and S. M. Suliman. 2020. “A Structure Equation Model of Indicators Driving BIM Adoption in the Bahraini Construction Industry.” Construction Innovation 20 (1): 61–78. https://doi.org/10.1108/ci-06-2019-0048.

4. Al-Gahtani, S. 2001. “The Applicability of TAM Outside North America: An Empirical Test in the United Kingdom.” Information Resources Management Journal 14 (3): 37–46. https://doi.org/10.4018/irmj.2001070104.

5. Ambak, K., N. E. Harun, N. Rosli, B. D. Daniel, J. Prasetijo, and M. Ezree. 2016. “Driver Intention to Use Electric Cars Using Technology Acceptance Model.” ARPN Journal of Engineering and Applied Sciences 11 (3): 1524–8. https://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0216_3529.pdf (accessed January 23, 2024).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating the factors influencing the adoption of digital culture among university students in developing areas of South Punjab;Information Development;2024-08-28

2. Factors influencing the adoption of big data in libraries: a systematic literature review of peer-reviewed articles from 2013 to 2023;The Electronic Library;2024-06-18