Quality management of e-business: A key node analysis of ecological network in digital economy by using artificial intelligence

Da Huo*, Yan Chen, Ken Hung, Rihui Ouyang, Baowen Sun, Yinghui Cai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The development of the E-business market has greatly encouraged the companies to be involved in online competition. Quality management has therefore become an important issue for the E-business companies in digital economy. The quality management on the E-business market can be helpful for the development of fair market competition, and is also of a great necessity for the improvement of brand equity and core competitiveness of the E-business companies. This paper investigates the ecological network in quality management based on information provided by quality management cases. The research further reveals the dynamic market structure of the competition between the certified products and the falsely branded products. The mutation algorithm is performed to identify the key nodes of cases involved in the ecological network of quality management issues on the E-business market. The ant colony optimization is further performed to control and regulate the key nodes in quality management on the E-business market. This research offers support to quality management of E-business based on ecological network by using artificial intelligence in digital economy and digital trade.

Original languageEnglish
Pages (from-to)166-179
Number of pages14
JournalRomanian Journal of Economic Forecasting
Volume22
Issue number2
Publication statusPublished - 2019

Keywords

  • Artificial intelligence
  • E-business
  • Ecological network
  • Quality management

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