Analysis of the BP neural network comprehensive competitiveness evaluation model for the development evaluation of B2B E-commerce enterprises

References

• Zhuansun F, Chen J, Chen W, et al. The mechanism of evolution and balance for e-commerce ecosystem under Blockchain. Sci Program. 2021;2021(13):14–22. doi: 10.1155/2021/5984306
   Google Scholar
• Baye MR, Sappington DEM. Revealing transactions data to third parties: implications of privacy regimes for welfare in online markets. J Econ Manag Strategy. 2020;29(2):260–275. doi: 10.1111/jems.12337
   Web of Science ®Google Scholar
• Fotaki M, Voudouris I, Lioukas S, et al. More accountable, more ethical, yet less trusted: misplaced corporate governance in the era of big data. British J Manage. 2020;32(4):947–968. doi: 10.1111/1467-8551.12447
   Web of Science ®Google Scholar
• Sun Y, Wang P. The E-Commerce investment and enterprise performance based on customer relationship management. J Global Inform Manag. 2022;30(2):752–766.
   Google Scholar
• Zhao N, Tsai SB, Huang C. Research on prediction model of hotels’ development scale based on BP artificial neural network algorithm. Math Prob Eng. 2021;2021(31):25–36. doi: 10.1155/2021/6595783
   Google Scholar
• Zou Z, Farnoosh A, Mcnamara T. Risk analysis in the management of a green supply chain. Strateg Change. 2021;30(1):5–17. doi: 10.1002/jsc.2383
   Google Scholar
• Misawa M, Fukushima S, Koura A. Application of first-principles-based artificial neural network potentials to Multiscale-Shock Dynamics Simulations on Solid Materials. J Phys Chem Lett. 2020;11(11):36–41. doi: 10.1021/acs.jpclett.0c00637
   Web of Science ®Google Scholar
• Lu J, Cheng H, Luo M. PUConv: Upsampling convolutional network for point cloud semantic segmentation. Electron Lett. 2020;56(9):435–438. doi: 10.1049/el.2019.3705
   Web of Science ®Google Scholar
• Bayrak G, Yilmaz A, Kucuker A. Deep learning-based multi-model ensemble method for classification of PQDs in a hydrogen energy-based microgrid using modified weighted majority algorithm. Int J Hydrogen Energy. 2023;48(18):6824–6836. doi: 10.1016/j.ijhydene.2022.05.137
   Web of Science ®Google Scholar
• Talavera A, Hecht RB. Africa-A wealth of resources and aspirations. Am Ceramic Soc Bull. 2021;100(8):20–22.
   Web of Science ®Google Scholar
• Lv X, Li N, Xu X. Understanding the emergence and development of online travel agencies: a dynamic evaluation and simulation approach. Internet Res. 2020;30(6):1783–1810. doi: 10.1108/INTR-11-2019-0464
   Web of Science ®Google Scholar
• Li J, Sun Y, Gong L, et al. Multiattribute Fuzzy Decision Evaluation Approach and Its Application in Enterprise Competitiveness Evaluation. Math Prob Eng. 2021;2021(12):12–32. doi: 10.1155/2021/8867752
   Google Scholar
• Meng Y, Chen LS. Evaluation of urban competitiveness in environmental protection zones based on Principal component analysis (PCA) and entropy method. J Environ Protect Ecol. 2021;22(1):182–188.
   Web of Science ®Google Scholar
• Liu X, Zhang W, Liu H. The impact assessment of FDI on industrial green competitiveness in China: based on the perspective of FDI heterogeneity. Environ Imp Assess Rev. 2022;93(4):25–42. doi: 10.1016/j.eiar.2021.106720
   Google Scholar
• Oluka PN, Okoche M, Godfrey M. Public procurement and competitiveness of women-owned businesses: a structural equation model (SEM) for gender- responsive procurement in Uganda. World J Entrep Manag Sustain Dev. 2020;17(2):209–226. doi: 10.1108/WJEMSD-02-2020-0014
   Google Scholar
• Yaxu Y, Ramachandran V. Comprehensive evaluation of logistics enterprise competitiveness based on SEM model. J Intell Fuzzy Syst. 2021;40(4):69–79. doi: 10.3233/JIFS-189486
   Web of Science ®Google Scholar
• Chen H, Wu Y, Liu X, et al. Competitiveness evaluation of Chinese dairy industry based on Accelerated genetic algorithm projection pursuit model. Math Prob Eng. 2020;2020(31):41–57. doi: 10.1155/2020/6185234
   Google Scholar
• Zhao Q, Chen X, Chen G, et al. Understanding the development of recreational fisheries with an industry competitiveness framework: evaluation of a case study from China. Mar Policy. 2022;143(8):5–16. doi: 10.1016/j.marpol.2022.105121
   Google Scholar
• Hu K, Wang L, Li W, et al. Forecasting of solar radiation in photovoltaic power station based on ground-based cloud images and BP neural network. IET Gener Transm Distrib. 2022;16(2):333–350. doi: 10.1049/gtd2.12309
   Web of Science ®Google Scholar
• Mao X, Song S, Ding F, et al. SOC estimation of lithium battery based on IPSO-BP neural network. J Phys. 2020;11(1):18–20. doi: 10.1088/1742-6596/1684/1/012152
   Google Scholar
• Wang Q, Wu P, Lian J. SOC estimation algorithm of power lithium battery based on AFSA-BP neural network. JF Eng. 2020;5(13):535–539. doi: 10.1049/joe.2019.1214
   Google Scholar
• Zeng Q, Jiang H, Liu Q, et al. Design of a high-temperature grease by BP neural network and its preparation and high-temperature performance studies. Ind Lubr Tribol. 2022;74(5):564–571. doi: 10.1108/ILT-11-2021-0432
   Web of Science ®Google Scholar
• Wang Y, Zhu Z, Sha A, et al. Low cycle fatigue life prediction of titanium alloy using genetic algorithm-optimized BP artificial neural network. Int J Fatigue. 2023;172(2):23–33. doi: 10.1016/j.ijfatigue.2023.107609
   Google Scholar
• Qiu R, Wang Y, Wang D, et al. Water temperature forecasting based on modified artificial neural network methods: two cases of the Yangtze River. Sci Total Environ. 2020;737(18):29–40. doi: 10.1016/j.scitotenv.2020.139729
   Google Scholar
• Xin Y, Cui M, Liu C, et al. A bionic piezoelectric tactile sensor for features recognition of object surface based on machine learning. Rev Sci Instrum. 2021;92(9):95003–95014. doi: 10.1063/5.0057236
   Web of Science ®Google Scholar
• Zhang H, Tian Z. Failure analysis of corroded high-strength pipeline subject to hydrogen damage based on FEM and GA-BP neural network. Int J Hydrogen Energy. 2022;47(7):4741–4758. doi: 10.1016/j.ijhydene.2021.11.082
   Web of Science ®Google Scholar
• Xu Y, Jiang W, Li Y. The influences of live streaming affordance in cross-border E-Commerce platforms: an information transparency perspective. J Global Inform Manag. 2022;30(1):278–301. doi: 10.4018/JGIM.20220301.oa3
   Google Scholar
• Tiwari S, Chandra A, Praveen T. ‘E-commerce’ for India in a developing World: an Int’1 trade law perspective. J World Trade. 2020;54(1):59–79. doi: 10.54648/TRAD2020003
   Web of Science ®Google Scholar
• Zhang F, Lou X, Ning Y. The comparative study of China’s mega-city regions: a perspective of competitiveness. Growth And Change. 2021;52(1):425–442. doi: 10.1111/grow.12422
   Web of Science ®Google Scholar
• Codignola F, Capatina A, Lichy J. Customer information search in the context of e-commerce: a cross-cultural analysis. Eur J Int Manag. 2021;16(1):18–45. doi: 10.1504/EJIM.2021.116707
   Web of Science ®Google Scholar
• Ficcadenti V, Cerqueti R, Ausloos M. Words ranking and Hirsch index for identifying the core of the hapaxes in political texts. J Informetrics. 2020;14(3):101054–101076. doi: 10.1016/j.joi.2020.101054
   Web of Science ®Google Scholar
• Usman AM, Abdullah MK. An assessment of building Energy Consumption characteristics using Analytical Energy and carbon footprint assessment model. Green Low-Carbon Econ. 2023;1(1):28–40. doi: 10.47852/bonviewGLCE3202545
   Google Scholar
• Rosa CB, Wendt JFM, Chaves DMS. Mathematical modeling for the measurement of the competitiveness index of Brazil south urban sectors for installation of photovoltaic systems. Energy Policy. 2020;136(1):111048–111059. doi: 10.1016/j.enpol.2019.111048
   Google Scholar
• Cai J, Tian Z, Zhou S. Controlling factor analysis of Microstructural Property and Storage capacity of Deep Longmaxi Formation Shale in Sichuan Basin. Energy Fuels. 2021;35(24):20092–20102. doi: 10.1021/acs.energyfuels.1c03495
   Web of Science ®Google Scholar
• Mulder RA, Melese Y, Cardozo NJL. Plant efficiency: a sensitivity analysis of the capacity factor for fusion power plants with high recirculated power. Nucl Fusion. 2021;61(4):38–45. doi: 10.1088/1741-4326/abe68b
   Web of Science ®Google Scholar
• Su Y, Li T, Cheng S. Spatial distribution exploration and driving factor identification for soil salinisation based on geodetector models in coastal area. Ecol Eng. 2020;1568(9):105961–105978. doi: 10.1016/j.ecoleng.2020.105961
   Google Scholar
• Guan L, Chen H, Ma H. Optimal group‐buying price strategy considering the information‐sharing of the seller and buyers in social e‐commerce. Int Trans Oper Res. 2022;29(3):1769–1790. doi: 10.1111/itor.13075
   Web of Science ®Google Scholar
• Xie C, Yu J, Huang SS. Tourism e-commerce live streaming: identifying and testing a value-based marketing framework from the live streamer perspective. Tour Manag. 2022;91(8):48–57. doi: 10.1016/j.tourman.2022.104513
   Google Scholar
• Huang FH. Exploring the factors influencing e-bike road safety: a survey study based on the experiences of Taiwanese cyclists. Inter J Ind Ergon. 2022;89(9):103292–103298. doi: 10.1016/j.ergon.2022.103292
   Google Scholar
• Xie F, Anderson HD, Chi J, et al. State control and stock price crash risk: new evidence of the conservatism of state-owned enterprises. Int J Manag Finance. 2023;19(4):853–889. doi: 10.1108/IJMF-08-2021-0373
   Web of Science ®Google Scholar