Informatization Development Strategy for Rural Financial Services

[1] Zou, L. (2015). Rural development strategy analysis. Computer-Aided Design, 10(116), 148. Search in Google Scholar

[2] Geetha, K., & Kanniammal, K. (2019). Awarness of digital financial services among rural households – a study with special referenceto malappuram district. INTERNATIONAL JOURNAL OF MANAGEMENT AND SOCIAL SCIENCES, 8, 92-96. Search in Google Scholar

[3] Liu, X., Du, Y., Sun, J., Yang, R., & Yang, F. (2020). Performance of china’s rural supply chain finance: from the perspective of maximization of intermediate output. Industrial Management & Data Systems, ahead-of-print(ahead-of-print). Search in Google Scholar

[4] Liu, Y. (2021). Construction of rural financial organization spatial structure and service management model based on deep convolutional neural network. Computational Intelligence and Neuroscience, 2021(12), 1-10. Search in Google Scholar

[5] Ye, W. Q., & Huang, Y. H. (2018). Study on financial products and service innovation in rural internet. DEStech Publications. Search in Google Scholar

[6] Khotiawan, M., & Luthfiansyah, M. (2017). Strategy to enhance sharia financial literacy and inclusion in indonesia (case study at financial services authority office in city of malang). Emerging Markets: Finance eJournal. Search in Google Scholar

[7] Parne, P. (2021). Cloud computing strategy and impact in banking/financial services. Computer Science and Information Technology Trends. Search in Google Scholar

[8] Mensah, K., & Amenuvor, F. E. (2022). The influence of marketing communications strategy on consumer purchasing behaviour in the financial services industry in an emerging economy. Journal of Financial Services Marketing, 27(3), 190-205. Search in Google Scholar

[9] Chanias, S., Myers, M. D., & Hess, T. (2019). Digital transformation strategy making in pre-digital organizations: the case of a financial services provider. The Journal of Strategic Information Systems, 28(1), 17-33. Search in Google Scholar

[10] Rahman, M. (2021). The rural users challenges with mobile financial services (mfs) in bangladesh. Asian journal of management(4), 12. Search in Google Scholar

[11] Batunanggar, S., Gunadi, W., & Saputra, N. P. B. (2021). Digital talent development strategy in the indonesian financial services sector. Allied Business Academies. Search in Google Scholar

[12] Dong, X. (2018). Innovative decision-making mechanism based on cognitive science-taking rural financial services as an example. NeuroQuantology. Search in Google Scholar

[13] Li, L., & Li, H. (2021). Analysis of financing risk and innovation motivation mechanism of financial service industry based on internet of things. Complexity, 2021(3), 1-9. Search in Google Scholar

[14] Tian, X., Wu, M., Ma, L., & Wang, N. (2020). Rural finance, scale management and rural industrial integration. China Agricultural Economic Review, ahead-of-print(ahead-of-print). Search in Google Scholar

[15] Li, Y., Zhong, Q., & Xie, L. (2020). Has inclusive finance narrowed the income gap between urban and rural areas? an empirical analysis based on coastal and noncoastal regions’ panel data. Journal of Coastal Research, 106(sp1), 305. Search in Google Scholar

[16] Tingting, Z. (2019). Application Research of Rural Financial Service System Based on Intelligent Technology. 2019 12th International Conference on Intelligent Computation Technology and Automation (ICICTA). Search in Google Scholar

[17] Kaucic Massimiliano,Piccotto Filippo & Sbaiz Gabriele.(2023).A constrained swarm optimization algorithm for large-scale long-run investments using Sharpe ratio-based performance measures. Computational Management Science(1), Search in Google Scholar

[18] Dong Xuhui.(2023).The Structure and Influencing Factors of Students’ Innovation and Entrepreneurship Ability Based on the Structural Equation Model.Applied Mathematics and Nonlinear Sciences(2),2393-2402. Search in Google Scholar

[19] Teddy Lazebnik & Liron Simon keren.(2024).Knowledge-integrated autoencoder model.Expert Systems With Applications(PB),124108-. Search in Google Scholar

[20] Jiahui Wang,Nanqing Liao,Xiaofei Du,Qingfeng Chen & Bizhong Wei.(2024).A semi-supervised approach for the integration of multi-omics data based on transformer multi-head self-attention mechanism and graph convolutional networks.BMC genomics(1),86-86. Search in Google Scholar