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- W3136591572 abstract "Industry 4.0 came by digital technology and the promise of increased productivity based on data. The scenario is useful to the stakeholder of the sustainable exporting company because it allows it to create value for the goods it exports. But a model that accepts uncertainty is required to relate the input variables: digital technology and strategy 4.0 with the output variable: sustainability. A problem that is solved under a fuzzy logic approach and the fuzzy inference system which generates the data set to train, control, and validate the adaptive network of the fuzzy inference system (ANFIS). Which, creates the algorithm of the sustainability valuation model (SVM). Thus the general objective is completed, and then the model is used in five exporting companies to supervise, control, and calibrating the result of the output variable, which can bea value between zero and one, where zero means loss sustainability and one reflect high sustainability. Data and knowledge that allows the stakeholder to make strategic decisions about advanced digital skills and competencies in the workplace, which is aninnovation in the context of Industry 4.0 that allows a contribution of knowledge to the economic literature and management of the business. The SVM will continue its training process with new exporting ecosystems, face-to-face interviews, and adapt its content to another language." @default.
- W3136591572 created "2021-03-29" @default.
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- W3136591572 date "2021-03-24" @default.
- W3136591572 modified "2023-09-27" @default.
- W3136591572 title "Sustainability valuation model for an exporting company 4.0." @default.
- W3136591572 doi "https://doi.org/10.35992/pdm.v3i1.529" @default.
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