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Quality Management of E-business: A Key Node Analysis of Ecological Network in Digital Economy by Using Artificial Intelligence

Author

Listed:
  • Da HUO

    (School of International Trade and Economics, associate at China Center of Internet Economy, Central University of Finance and Economics, No. 39, South College Road, Haidian District, Beijing, China, 100081.)

  • Yan CHEN

    (School of Economics and Management, Beijing University of Posts and Telecommunications, No 10, Xitucheng Road, Haidian District, Beijing, China, 100876.)

  • Ken HUNG

    (A.R. Sanchez School of Business, Texas A&M International University, 5201 University Boulevard, Laredo, Texas, U.S. A, 78041.)

  • Rihui OUYANG

    (China Center of Internet Economy, Central University of Finance and Economics, No. 39, South College Road, Haidian District, Beijing, China, 100081.)

  • Baowen SUN

    (China Center of Internet Economy, Central University of Finance and Economics, No. 39, South College Road, Haidian District, Beijing, China, 100081.)

  • Yinghui CAI

    (School of Law, Beijing Institute of Technology, No. 5, South Zhong Guan Cun Street, Haidian District, Beijing, China, 100081.)

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.

Suggested Citation

  • Da HUO & Yan CHEN & Ken HUNG & Rihui OUYANG & Baowen SUN & Yinghui CAI, 2019. "Quality Management of E-business: A Key Node Analysis of Ecological Network in Digital Economy by Using Artificial Intelligence," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 166-179, June.
    • Handle: RePEc:rjr:romjef:v::y:2019:i:2:p:166-179
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    References listed on IDEAS

    as
    1. Chun-Hsiung Liao & I Hsieh, 2013. "Determinants of Consumer’s Willingness to Purchase Gray-Market Smartphones," Journal of Business Ethics, Springer, vol. 114(3), pages 409-424, May.
    2. Olivier Bomsel, 2014. "Free-Riding and Luxury Brands on the Internet," Post-Print hal-01110929, HAL.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    E-business; quality management; ecological network; artificial intelligence;
    All these keywords.

    JEL classification:

    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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