ESI 6891 - IEMS Research Methods

Harie, Y., Gautam, B. P., & Wasaki, K. (2023). Computer Vision Techniques for Growth Prediction: A Prisma-Based Systematic Literature Review. Applied Sciences, 5335 (25 pp.). https://doi.org/10.3390/app13095335

Wolf, A., Miehling, J., & Wartzack, S. (2020). "Challenges in interaction modelling with digital human models – A systematic literature review of interaction modelling approaches." Ergonomics, 63(11), 1442-1458. https://doi.org/10.1080/00140139.2020.1786606

R. Sharma, S. S. Kamble, A. Gunasekaran, V. Kumar, and A. Kumar, “A systematic literature review on machine learning applications for       sustainable agriculture supply chain performance,” Computers & Operations Research, vol. 119, p. 104926, Jul. 2020, doi: 10.1016/j.cor.2020.104926.

A. Tandon, A. Dhir, A. K. M. N. Islam, and M. Mäntymäki, “Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda,” Computers in Industry, vol. 122, p. 103290, Nov. 2020, doi: 10.1016/j.compind.2020.103290.

K. S. Muhs, W. Karwowski, and D. Kern, “Temporal variability in human performance: A systematic literature review,” International Journal of Industrial Ergonomics, vol. 64, pp. 31–50, Mar. 2018, doi: 10.1016/j.ergon.2017.10.002.

M. Sony, J. Antony, S. Park, and M. Mutingi, “Key criticisms of six sigma: a systematic literature review,” IEEE Trans. Eng. Manage., vol. 67, no. 3, pp. 950–962, Aug. 2020, DOI: 10.1109/TEM.2018.2889517

1. Title Page

• Title: "The Role of Artificial Intelligence in Academic Libraries: A Systematic Review"
• Author: Ven Basco
• Affiliation: John C. Hitt Libraries
• Date

2. Abstract

• Brief summary of the background, objectives, methods, key findings, and conclusions.

3. Introduction

• Background: Why is AI relevant to academic libraries?
• Problem Statement: What gap in knowledge does this review address?
• Objectives: What are you trying to find out?
• Research Questions: e.g.,
  • How is AI being implemented in academic libraries?
  • What are the benefits and challenges?
  • What trends or gaps exist in the literature?

4. Methods (PRISMA Framework)

A. Eligibility Criteria

• Inclusion: Peer-reviewed articles, published between 2020–2025, English language, focused on AI in academic libraries.
• Exclusion: Non-academic sources, articles not focused on libraries or AI. Thesis and dissertations. Monographs. Grey literature. (THIS APPLIES FOR THIS CLASS ONLY)

B. Information Sources

• Databases: Engineering Collection, Web of Science, Library & Information Science Source, IEEE Xplore, Ergonomics Abstracts, Applied Science & Technology Source, ABI/Inform, APA PsycInfo, etc. https://guides.ucf.edu/c.php?g=78335&p=509359

C. Search Strategy

• Keywords: “Artificial Intelligence,” “Academic Libraries,” “Machine Learning,” “Library Automation,” etc.
• Boolean example:
  ("artificial intelligence" OR "machine learning") AND ("academic libraries" OR "university libraries")

D. Selection Process

• Use PRISMA flow diagram to show:
  • Records identified
  • Records screened
  • Full-text articles assessed
  • Studies included

E. Data Extraction

• Create a table with:
  • Author(s)
  • Year
  • Country
  • AI Technology Used
  • Application Area (e.g., reference services, cataloging)
  • Key Findings

F. Quality Assessment

• Use a checklist (e.g., CASP or JBI) to assess study quality.

5. Results

• Descriptive Summary: Number of studies, publication years, countries, etc.
• Thematic Analysis: Group findings into themes such as:
  • AI for user services
  • AI in collection management
  • Ethical concerns
  • Staff training and resistance

6. Discussion

• Interpret findings in relation to your research questions.
• Compare with previous reviews or frameworks.
• Discuss implications for practice and policy in academic libraries.

7. Limitations

• Limitations of your review (e.g., language bias, database coverage).

8. Conclusion

• Summarize key insights.
• Suggest areas for future research.

9. References

• Use APA, MLA, or your required citation style.

10. Appendices

• PRISMA Flow Diagram
• Search strings
• Data extraction table