Construction of Research Intelligence Service System for College Libraries in the Era of Artificial Intelligence

[1] Francisco, Jose, & Garcia-Penalvo. (2017). Multidisciplinary and interdisciplinary approaches in information technology research. Journal of Information Technology Research. Search in Google Scholar

[2] Rai, A., & Tang, X. (2017). Information technology-enabled business models: a conceptual framework and a coevolution perspective for future research. Information Systems Research, 25(25), 1-14. Search in Google Scholar

[3] Rafi, M., Ming, Z. J., & Ahmad, K. (2020). Estimation of the knowledge management model for performance measurement in university libraries. Library Hi Tech, ahead-of-print(ahead-of-print). Search in Google Scholar

[4] Ye, Y., & Ge, Y. (2019). A bibliometric analysis of inventory management research based on knowledge mapping. Electronic Library, 37(1), 127-154. Search in Google Scholar

[5] Tiwari, A., & Madalli, D. P. (2021). Maturity models in lis study and practice. Library & Information Science Research. Search in Google Scholar

[6] Kim, J. (2021). Determining research data services maturity: the role of library leadership and stakeholder involvement. Library & Information Science Research(1), 101092. Search in Google Scholar

[7] Jiang, T., Chi, Y., & Gao, H. (2017). A clickstream data analysis of chinese academic library opac users’ information behavior. Library & Information Science Research, 39(3), 213-223. Search in Google Scholar

[8] Tammaro, A. M., Matusiak, K. K., Sposito, F. A., & Casarosa, V. (2019). Data curator’s roles and responsibilities: an international perspective. Libri, 69(2), 89-104. Search in Google Scholar

[9] Li, H. P. (2018). Home away from home: extending library services for international students in china’s universities. The Journal of Academic Librarianship, 44(1). Search in Google Scholar

[10] Bracke, M. S. (2017). Agricultural librarians becoming informationists: a paradigm shift. Library Trends, 65(3), 5-7. Search in Google Scholar

[11] Chen, Xiujuan, & Ming. (2017). Survey on the needs for chemistry research data management and sharing. Journal of Academic Librarianship. Search in Google Scholar

[12] Yu, H. (2017). The role of academic libraries in research data service (rds) provision opportunities and challenges. The Electronic Library, 35(4), 783-797. Search in Google Scholar

[13] Cox, A. M., Kennan, M. A., Lyon, E., Pinfield, S., & Sbaffi, L. (2019). Maturing research data services and the transformation of academic libraries. Journal of Documentation, ahead-of-print(ahead-of-print). Search in Google Scholar

[14] Goben, A., & Griffin, T. (2019). In aggregate: trends, needs, and opportunities from research data management surveys. College & Research Libraries, 80(7), 903-924. Search in Google Scholar

[15] Ye, L., Yang, W., & Lin, W. (2018). Draa e-resources usage statistics services in china: research and practice. The Electronic Library, 36(6), 1043-1061. Search in Google Scholar

[16] Xie, Y. E. N. (2020). Meta-synthesis in library & information science research. The Journal of Academic Librarianship, 46(5). Search in Google Scholar

[17] Shan, L., & Xiao-Liang, S. (2018). Library management and innovation in the big data era. Library Hi Tech, 36(3), 374-377. Search in Google Scholar

[18] Sun, C., Wang, G., Liu, C., Jin, S., Hu, Y., & Wu, L. (2017). Research on the application of reading recommendation system in high medical college library based on the local data. International Journal of Technology, Management. Search in Google Scholar

[19] Yaita, Y., Enda, M., Aoi, H., Kanasaki, T., Sakai, H., & Inami, I., et al. (2017). Icone11-36322 decontamination of bwr primary system by t-ozon process. Electronic Library, 44(4), 259-261. Search in Google Scholar