This work is licensed under the Creative Commons Attribution 4.0 International License.
Dai, F., & Xu, F. (2017). Research on financial risk prewarning of chinese manufacturing listed companies based on panel logit model. Revista de la Facultad de Ingenieria, 32(16), 594-600.Search in Google Scholar
Fu, Q., & Ji, F. (2017). Total factor productivity of food manufacturing industry in china: a dea-malmquist index measurement. Revista de la Facultad de Ingenieria, 32(4), 1-8.Search in Google Scholar
Saharudin, N. N., & Ho, F. H. (2021). Development of a green packaging assessment tool for manufacturing industry. Mechatronics, 2(1), 56-66.Search in Google Scholar
Angelo, C., Maria, C. A., Vito, D. V., Mariangela, L., & Manuela, M. (2021). Understanding and defining dark data for the manufacturing industry. IEEE Transactions on Engineering Management, PP(99), 1-13.Search in Google Scholar
Cui, X. (2021). Cyber-physical system (cps) architecture for real-time water sustainability management in manufacturing industry. Procedia CIRP, 99, 543-548.Search in Google Scholar
Li, W. Y., & Evison, D. (2018). Consumption of plywood and sawn timber for concrete formwork in the chinese construction industry. New Zealand Journal of Forestry, 62(4), 30-37.Search in Google Scholar
Tang, L., Jin, C., Tian, Y., & Li, L. (2020). Effects of free trade agreements on chinese forestry industry: a context analysis with the 21st-century maritime silk road countries. Journal of Coastal Research, 106(sp1), 290-294Search in Google Scholar
Khan, S. A., Kusi-Sarpong, S., Naim, I., Ahmadi, H. B., & Oyedijo, A. (2021). A best-worst-method-based performance evaluation framework for manufacturing industry. Kybernetes, 2938-2963Search in Google Scholar
Zhen, Z. (2020). Competitiveness model of chinese port manufacturing industry based on global value chain. Journal of Coastal Research, 103(sp1), 701-704Search in Google Scholar
Jin, Q. (2020). Measurement and promotion of the transformation and upgrading effect of marine manufacturing industry. Journal of Coastal Research, 107(sp1), 81-84.Search in Google Scholar
Rossini, M., Cifone, F. D., Kassem, B., Costa, F., & Portioli-Staudacher, A. (2021). Being lean: how to shape digital transformation in the manufacturing sector. Journal of Manufacturing Technology Management, 32(9), 239-259.Search in Google Scholar
Nallusamy, S. (2017). Enhancement of overall equipment effectiveness using total productive maintenance in a manufacturing industry. International Journal of Performability Engineering, 13(2), 01-16.Search in Google Scholar
Wang, Y., & Zhou, G. (2021). Interaction mechanism between the logistics industry and manufacturing industry–based on the perspective of different linkage types. IEEE Access, PP(99), 48462-48473Search in Google Scholar
Charalampidis, I., Karkatsoulis, P., & Capros, P. (2019). A regional economy-energy-transport model of the eu for assessing decarbonization in transport. Energies, 12(16), 3128.Search in Google Scholar
Alagarsamy, A., & Ponnusamy, M. (2020). Ai integrated with iot and block chain for production cycle in manufacturing industries. Solid State Technology, 63(6), 14979-14989.Search in Google Scholar
Xiwen, L., Xu, D., & Shiyu, S. (2021). Research on the internal control problems faced by the financial sharing center in the digital economy era1 — an example of financial sharing center of h co. ltd. Procedia Computer Science, 187(9), 158-163.Search in Google Scholar
Ding, Y., Zhang, H., & Tang, S. (2021). How does the digital economy affect the domestic value-added rate of chinese exports?. Journal of Global Information Management, 29(5), 71-85.Search in Google Scholar
Sultana, S., Akter, S., Kyriazis, E., & Wamba, S. F. (2021). Architecting and developing big data-driven innovation (ddi) in the digital economy. Journal of Global Information Management, 29(3), 165-187.Search in Google Scholar
Ren, Y., & Song, W. (2017). Internet marketing model based on big data analysis and perception. Boletin Tecnico/Technical Bulletin, 55(20), 22-28.Search in Google Scholar
Metsker, O., Efimov, E., Trofimov, E., Kopanitsa, G., & Yakovlev, A. (2020). Performance improvement algorithms in big data analysis. Procedia Computer Science, 178, 386-393.Search in Google Scholar
Wu, H., Zhao, D., & Liu, Y. (2017). Empirical analysis of regional innovation capability evaluation and index construction based on data envelopment analysis. Boletin Tecnico/Technical Bulletin, 55(8), 442-449.Search in Google Scholar