Research on Reform of Teaching Content of Supply Chain Management Course in Application-oriented Universities
Based on Text Mining Analysis of Job Responsibilities
DOI:
https://doi.org/10.54097/ijeh.v9i3.10620Keywords:
Application-oriented universities, Supply chain management, Text Mining Technology, Job responsibilities, Teaching reform.Abstract
New business format and model put forward new requirements for post competence of business talents. Under the new business background, aiming at reform of teaching content of supply chain management course in application-oriented universities, Crawler Technology is used to obtain job responsibility data of current actual enterprise recruitment. Through Text Mining Technology such as high-frequency word analysis and semantic network analysis, the focus of actual job responsibilities and abilities is deeply explored, so as to clarify the focus of current supply chain management course teaching content and put forward corresponding teaching reform suggestions. The research results show that suppliers, logistics, planning and inventory and others are the main concerns of the current job responsibilities. It is suggested that the teaching content of supply chain management course should be designed from supplier and procurement management, supply chain logistics planning and scheme design, demand and inventory optimization, demand and production planning management, product cost and quality control, supply chain system coordination and optimization, and supply chain strategy and operation.
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