skip to main content
10.1145/3569966.3571271acmotherconferencesArticle/Chapter ViewAbstractPublication PagescsseConference Proceedingsconference-collections
research-article

System of Research Suppliers on Big Data Technology: Design and Research on Management System of Scientific Research Suppliers in Colleges and Universities Based on Big Data Technology

Published:20 December 2022Publication History

ABSTRACT

Multiplex types of disciplines and complex stages are the characteristics of management of scientific research suppliers in Colleges and Universities. Therefore, the enterprise supplier management ideas can not be copied completely by it. All processes of scientific research supplier management in Colleges and Universities are mentioned in the article. It focuses on analysis of Characteristics and difficulties of scientific research supplier management in Colleges and Universities, and studies the application advantages of big data technology in the management and maintenance of University suppliers. Based on the research above, a software platform design of university scientific research supplier management system is proposed by applying big data technology in this article. This design not only establishes supplier database, but introduces big data technology to process Internet information in a direction to assist in updating the directory. Moreover, the management process of university scientific research suppliers is standardized, and the reliability of supplier list update is improved in the article.

University scientific research, Supplier management , Supplier database construction

References

  1. ZHANG L., Research on the application of informatization in supplier management [j] Logistics Engineering and Management, 2015, 12 (37): 37-38Google ScholarGoogle Scholar
  2. PAN Q. L., Enterprise procurement management based on supplier informatization [j] China Market, 2012, 32: 62-63Google ScholarGoogle Scholar
  3. ZHUANG H. P., Application of informatization means in supplier management [j] Chinese Market, 2015, 24: 131-132.Google ScholarGoogle Scholar
  4. ZHOU S., LI C. l., PI W. K. Research on applying information technology to improve supplier management performance [j] Quality and Reliability 2019,4:58-61.Google ScholarGoogle Scholar
  5. LI X. B., Research on the application of informatization in outsourcing supplier management [j] China Management Informatization, 2019, 21 (22): 87-88Google ScholarGoogle Scholar
  6. LIU S., WANG H. C., Research on big data driven supplier management strategy [j] Logistics Technology, 2016, 35 (10): 115-118Google ScholarGoogle Scholar
  7. KANG Y., SONG J. B., YANG Z., Application of big data in military procurement supplier management [j] Chinese Government Procurement, 2017 (07): 47-50Google ScholarGoogle Scholar
  8. YANG G., KANG L., Analysis on big data management ideas and methods of military procurement suppliers [j] Chinese Government Procurement, 2019 (10): 55-57Google ScholarGoogle Scholar
  9. ZHONG Z. Y., Analysis and assumption of procurement management and supplier management driven by big data [j] Management Observation, 2019 (16): 23-24Google ScholarGoogle Scholar
  10. WU G. Y., The whole process management of government procurement suppliers in Colleges and Universities [j] Laboratory Research and Exploration, 2019, 38 (11): 282-285+300Google ScholarGoogle Scholar
  11. GUO X., How to implement ISO9001 quality management system requirements in project management [j] Small and Medium-sized Enterprise Management and Technology (next ten days), 2019 (06): 24-25Google ScholarGoogle Scholar

Index Terms

  1. System of Research Suppliers on Big Data Technology: Design and Research on Management System of Scientific Research Suppliers in Colleges and Universities Based on Big Data Technology
          Index terms have been assigned to the content through auto-classification.

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Other conferences
            CSSE '22: Proceedings of the 5th International Conference on Computer Science and Software Engineering
            October 2022
            753 pages
            ISBN:9781450397780
            DOI:10.1145/3569966

            Copyright © 2022 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 20 December 2022

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article
            • Research
            • Refereed limited

            Acceptance Rates

            Overall Acceptance Rate33of74submissions,45%
          • Article Metrics

            • Downloads (Last 12 months)15
            • Downloads (Last 6 weeks)2

            Other Metrics

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader

          HTML Format

          View this article in HTML Format .

          View HTML Format