Abbasi, W. A., Wang, Z. R., Zhou, Y. J., & Hassan, S. (2019). Research on measurement of supply chain finance credit risk based on Internet of Things. International Journal of Distributed Sensor Networks, 15(9), 14. https://doi.org/10.1177/1550147719874002
Adams, R., Kewell, B., & Parry, G. (2018). Blockchain for good? Digital ledger technology and sustainable development goals. In Handbook of sustainability and social science research (pp. 127–140). Springer.
Alamoodi, A., Zaidan, B., Zaidan, A. A., Samuri, S. M., Ismail, A. R., Zughoul, O., & Chyad, M. (2019). A review of data analysis for early-childhood period: Taxonomy, motivations, challenges, recommendation, and methodological aspects. IEEE Access, 7, 51069–51103.
Alamoodi, A. H., Zaidan, B. B., Zaidan, A. A., Albahri, O. S., Mohammed, K. I., Malik, R. Q., & Alaa, M. (2021). Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review. Expert Systems with Applications, 167, Article 114155. https://doi.org/10.1016/j.eswa.2020.114155
Alora, A., & Barua, M. K. (2020). Development of a supply chain risk index for manufacturing supply chains. International Journal of Productivity and Performance Management, ahead-of-print.. https://doi.org/10.1108/ijppm-11-2018-0422
Altman, E. I., & Sabato, G. (2013). Modeling credit risk for SMEs: Evidence from the US market. In Managing and Measuring Risk: Emerging Global Standards and Regulations After the Financial Crisis, 251–279.
Armstrong, S. J. W. U. (2016). Eight things you need to know about the future of retail. Wired UK.
Aslam, J., Saleem, A., Khan, N. T., & Kim, Y. B. (2021). Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry. Journal of Innovation Knowledge, 6(2), 124–134.
Baesens, B., Roesch, D., & Scheule, H. (2016). Credit risk analytics: Measurement techniques, applications, and examples in SAS. John Wiley & Sons.
Bals, L., Schulze, H., Kelly, S., & Stek, K. (2019). Purchasing and supply management (PSM) competencies: Current and future requirements. Journal of Purchasing and Supply Management, 25(5), 100572.
Bellotti, T., & Crook, J. (2009). Support vector machines for credit scoring and discovery of significant features. Expert Systems With Applications, 36(2), 3302–3308.
Burgers, C., Brugman, B. C., & Boeynaems, A. (2019). Systematic literature reviews: Four applications for interdisciplinary research. Journal of Pragmatics, 145, 102–109.
Calabrese, R., & Osmetti, S. A. (2013). Modelling small and medium enterprise loan defaults as rare events: The generalized extreme value regression model. Journal of Applied Statistics, 40(6), 1172–1188.
Camerinelli, E. (2009). Supply chain finance. Journal of Payments Strategy Systems., 3(2), 114–128.
Caniato, F., Gelsomino, L. M., Perego, A., & Ronchi, S. (2016). Does finance solve the supply chain financing problem? Supply Chain Management-an International Journal, 21(5), 534–549. https://doi.org/10.1108/scm-11-2015-0436
Rezende, C., de Carvalho Ferreira, M., Amorim Sobreiro, V., Kimura, H., de Moraes, L., & Barboza, F. (2016). A systematic review of literature about finance and sustainability. Journal of Sustainable Finance Investment, 6(2), 112–147.
Choi, T. M. (2020). Supply chain financing using blockchain: Impacts on supply chains selling fashionable products. Annals of Operations Research, 23. https://doi.org/10.1007/s10479-020-03615-7
Cielen, A., Peeters, L., & Vanhoof, K. (2004). Bankruptcy prediction using a data envelopment analysis. European Journal of Operational Research, 154(2), 526–532.
Chang, J. H., Hung, M. W., & Tsai, F. T. (2015). Credit contagion and competitive effects of bond rating downgrades along the supply chain. Finance Research Letters, 15, 232–238.
Chen, H. R., Yan, Y. C., Ma, N. N., & Liu, J. (2020). Effects of risk attitudes and investment spillover on supplier encroachment. Soft Computing, 24(4), 2395–2416. https://doi.org/10.1007/s00500-018-03677-7
Chen, J. (2020). Risk assessment algorithm for agricultural value chain financing in coastal areas based on HMM model. Journal of Coastal Research, 42–46. https://doi.org/10.2112/si103-010.1
Chen, J. J., Cai, T. F., He, W. X., Chen, L., Zhao, G., Zou, W. W., & Guo, L. L. (2020). A Blockchain-driven supply chain finance application for auto retail industry. Entropy, 22(1), 16. https://doi.org/10.3390/e22010095
Chen, L. J., Chan, H. K., & Zhao, X. D. (2020). Supply chain finance: Latest research topics and research opportunities. International Journal of Production Economics, 229, 7. https://doi.org/10.1016/j.ijpe.2020.107766
Chen, X. F., Liu, C. J., & Li, S. T. (2019). The role of supply chain finance in improving the competitive advantage of online retailing enterprises. Electronic Commerce Research and Applications, 33, 11. https://doi.org/10.1016/j.elerap.2018.100821
Chen, Y. M. J., Tsai, H., & Liu, Y. F. (2018). Supply chain finance risk management: Payment default in tourism channels. Tourism Economics, 24(5), 593–614. https://doi.org/10.1177/1354816618762187
De Kruijff, J., & Weigand, H. (2017). Understanding the blockchain using enterprise ontology. International Conference on Advanced Information Systems Engineering, 29–43.
Debajyoti, B., Hamed, J., Amir H. A., & Pietro De, G. (2022). Traceability vs. Sustainability in supply chains: The implications of blockchain. European Journal of Operation Research, 305, 128–147.
Du, M. X., Chen, Q. J., Xiao, Yang, H. H., & Ma, X. F. (2020). Supply Chain Finance Innovation Using Blockchain. IEEE Transactions on Engineering Management, 67(4), 1045–1058. Doi: 10.1109/tem.2020.2971858.
Elaish, M. M., Shuib, L., Ghani, N. A., Yadegaridehkordi, E., & Alaa, M. J. (2017). Mobile learning for English language acquisition: Taxonomy, challenges, and recommendations. IEEE Access, 5, 19033–19047.
Fayyaz, M. R., Rasouli, M. R., & Amiri, B. (2021). A data-driven and network-aware approach for credit risk prediction in supply chain finance. Industrial Management & Data Systems, 121(4), 785–808. https://doi.org/10.1108/imds-01-2020-0052
Gu, J., Xia, X., He, Y., & Xu, Z. (2017). An approach to evaluating the spontaneous and contagious credit risk for supply chain enterprises based on fuzzy preference relations. Computers & Industrial Engineering, 106, 361–372. https://doi.org/10.1016/j.cie.2017.02.012
Guo, Y. H., Zhou, W. J., Luo, C. Y., Liu, C. R., & Xiong, H. (2016). Instance-based credit risk assessment for investment decisions in P2P lending. European Journal of Operational Research, 249(2), 417–426. https://doi.org/10.1016/j.ejor.2015.05.050
Huang, X., Liu, X., & Ren, Y. (2018). Enterprise credit risk evaluation based on neural network algorithm. Cognitive Systems Research, 52, 317–324. https://doi.org/10.1016/j.cogsys.2018.07.023
Hung, J. L., He, W., & Shen, J. (2020). Big data analytics for supply chain relationship in banking. Industrial Marketing Management, 86, 144–153. https://doi.org/10.1016/j.indmarman.2019.11.001
Hussain, M., Al-Haiqi, A., Zaidan, A. A., Zaidan, B. B., Kiah, M. L., Anuar, N. B., & Abdulnabi, M. (2015). The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Compute Methods Programs Biomed, 122(3), 393–408. https://doi.org/10.1016/j.cmpb.2015.08.015
Jiang, W., Carter, D. R., Fu, H., Jacobson, M. G., Zipp, K. Y., Jin, J., & Yang, L. J. (2019). The impact of the biomass crop assistance program on the United States forest products market: An application of the global forest products model. Forests, 10(3), 215.
Roeder, J., Palmer, M., & Muntermann, J. (2022). Data-driven decision-making in credit risk management: The information value of analyst reports. Decision Support Systems, 1–12.
Zhao, J., & Li, B.o. (2022). Credit risk assessment of small and medium-sized enterprises in supply chain finance based on SVM and BP neural network. Neural Computing and Applications, 1–15.