中文
Ying Hong

Depart: Marketing

Title: Associate Professor

Office: Comprehensive Building 405

Email: hongying6085@126.com

Overview

Ø Education

Université Paris I - Panthéon-Sorbonne, Ecole d’Economie Appliquée

Beijing University of Posts and Telecommunications, Economics and management school

Beijing University of Posts and Telecommunications, Automation school

Research Interests

Social media and social networking practices; Marketing for sustainable development; Social commerce and digital marketing; Health informatics; Cultural industry and tourism marketing

l Research Experience

Unité d'Economie Appliquée, ENSTA Paris-Tech

Competition and Regulation Research Center, Beijing University of Posts and Telecommunications

l Research Projects

[1] National Social Science Foundation of China, host

[2] Humanities and Social Sciences Foundation of the Ministry of Education, host

[3] Beijing Municipal Social Science Foundation, host

[4] National Social Science Foundation of China, participant

[5] Beijing Municipal Social Science Foundation, participant

Ø Academic papers

[1] HONG, Y., HU, J.T., ZHAO, Y.X. 2023. Would you go invisible on social media? An empirical study on the antecedents of users' lurking behavior. Technological Forecasting and Social Change.

[2] HONG, Y., HU, JT, CHEN, M.Y. 2023. Motives and antecedents affecting green purchase intention: Implications for green economic recovery. Economic Analysis and Policy.

[3] HONG, Y., WAN M. Understanding the Health Information Sharing Behavior of Social Media Users: An Empirical Study on WeChat. Journal of Organizational and End User Computing. 2021, Vol.33(5):180-203.

[4] HONG Y., LI, Z., WANG, J. Value of Telecom Operators' Big Data in Social Public Management. Journal of Physics Conference Series. 2020. 1437, 012068.

[5] Hong Y., Tang S.L., Li Z. (2015). Differential Pricing Equilibrium Analysis of Online Video Content Platform: Based on the Angle of Capacity Commitment (in Chinese). Journal of Technical Economics & Management. 05,7-11.

[6] LI Z., HONG, Y. Study on Big Data Management for Government Based on Privacy Protection. Big Data. 2020. 6(02),69-82.

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