Abstract
The rapid development of big data has more and more influence on the production capacity and development prospects of enterprises. Chinese enterprises are facing new development opportunities and new reform tests. How to effectively improve staff effectiveness and mobilize employees’ lasting enthusiasm needs to change the management mechanism of enterprises. This paper starts from practice, through a brief overview of the independent management mode and the background of big data, studies and cooperates with an enterprise in our city, carries out management mode reform for 691 front-line production personnel, and concludes that the independent trust management system can effectively improve the enthusiasm of employees, improve the work efficiency of employees, and in essence enhance the productivity and influence of enterprises. To achieve the result of increasing income.
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Łęgowik-Małolepsza, M., Sałek, R., Bubel, D., et al.: Disruptions of the flow of information in business management. J. Clin. Invest. 113(9), 1271–1276 (2016)
López-Lemus, J.A., de la Garza Carranza, M.T.: The practices of business management, innovation and entrepreneurship: influencing factors in the performance of entrepreneur firms. Nova Scientia 11(22), 357–383 (2019)
Day, J.L., Bodmer, C.W., Dunn, O.M.: Development of a questionnaire identifying factors responsible for successful self-management of insulin-treated diabetes. Diabet. Med. 13(6), 564–573 (2015)
Stinson, J., Gupta, A., Dupuis, F., et al.: Usability Testing of an online self-management program for adolescents with cancer. J. Pediatr. Oncol. Nurs. Offic. J. Assoc. Pediatr. Oncol. Nurs. 32(2), 70–71 (2015)
Assunção, M.D., Calheiros, R.N., Bianchi, S., et al.: Big Data computing and clouds. J. Parallel Distrib. Comput. 79(1), 3–15 (2015)
Lv, Y., Duan, Y., Kang, W., et al.: Traffic flow prediction with big data: a deep learning approach. IEEE Trans. Intell. Transp. Syst. 16(2), 865–873 (2015)
Specht, D.: The data revolution. Big data, open data, data infrastructures and their consequences. Media Cult. Soc. 37(7), 1110–1111 (2016)
Apsan, H.N.: Running in nonconcentric circles: why environmental management isn’t being integrated into business management. Environ. Qual. Manag. 9(4), 69–75 (2000)
Mohammad, A.: Capsule commentary on Aikens et al., integrating support persons into diabetes telemonitoring to improve self-management and medication adherence. J. Gener. Internal Med. 30(3), 346–346 (2015)
Horvath, K.J., et al.: Distressed and looking for help: internet intervention support for arthritis self-management. J. Adolesc. Health: Offic. Publ. Soc. Adolesc. Med. 56(6), 666–671 (2015)
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Zhao, L. (2021). Enterprise Independent Trust Management System Under the Background of Big Data. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_47
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DOI: https://doi.org/10.1007/978-3-030-69999-4_47
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