LI Jing

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LI Jing

PhD en management des systèmes d'information

Jing Li est professeur assistante de gestion de la chaîne d'approvisionnement à NEOMA Business School. Les intérêts de recherche de Jing comprennent le commerce électronique, la cybersécurité, le crowdfunding, la blockchain et l'intelligence artificielle. Ses recherches sont publiées dans des revues commerciales internationales de premier plan, notamment Journal of Marketing, Information Systems Research, Journal of Business Ethics, Journal of Business Research, Journal of the Association for Information Science and Technology, et Information & Management. Jing fait office de réviseur ad hoc pour plusieurs revues, dont le Journal of Marketing, Information & Management, Information Technology and Management et Internet Research, entre autres.

LI, J., X. XIN XU, N. ERIC, "Does certainty tone matter? Effects of review certainty, reviewer characteristics, and organizational niche width on review usefulness", Information & Management, Décembre 2021, vol. 58, no. 8, pp. 103549

10.1016/j.im.2021.103549

DU, Q., J. LI, Y. DU, G. A. WANG, W. FAN, "Predicting crowdfunding project success based on backers' language preferences", Journal of the Association for Information Science and Technology (JASIST), Décembre 2021, vol. 72, no. 12, pp. 1558-1574

10.1002/asi.24530

LI, J., X. LUO, X. LU, T. MORIGUCHI, "The Double-Edged Effects of E-Commerce Cart Retargeting: Does Retargeting Too Early Backfire?", Journal of Marketing, Juillet 2021, vol. 85, no. 4, pp. 123-140

10.1177/0022242920959043

LI, J., X. XU, "Walking Customers from Business to Friend Relationships" dans ICIS, 2018, San Francisco, CA
LI, J., X. XU, E. NGAI, "Investigation on Ratio and Magnitude of Helpfulness Votes" dans AMCIS, 2018, New Orleans, LA
LI, J., X. LUO, "The Double-Edged Effects of E-Commerce Cart Retargeting" dans CODE @ MIT, 2017, Cambridge, MA
LI, J., X. LUO, "When and How to Leverage E-commerce Cart Targeting" dans NYU Conference on Digital Marketing, 2017, New York, NY
LI, J., E. NGAI, "Does Certainty Tone Matter?" dans AMCIS, 2016, San Diego, CA

LI, J., X. XU, E. W. T. NGAI, "How review content, sentiment and helpfulness votes jointly affect trust of reviews and attitude", Internet Research: Electronic Networking Applications and Policy, Novembre 2024, vol. 34, no. 6, pp. 2232-2256DOI : 10.1108/INTR-01-2023-0025
LI, J., X. XU, E. W. T. NGAI, "Presentational effects of photos and text in electronic word-of-mouth on consumer decisions", Internet Research: Electronic Networking Applications and Policy, Avril 2023, vol. 33, no. 2, pp. 473-499DOI : 10.1108/INTR-03-2021-0143
ZENG, F., Q. YE, Z. YANG, J. LI, Y. A. SONG, "Which Privacy Policy Works, Privacy Assurance or Personalization Declaration? An Investigation of Privacy Policies and Privacy Concerns", Journal of Business Ethics, Avril 2022, vol. 176, no. 4, pp. 781-798DOI : 10.1007/s10551-020-04626-x
LI, J., X. XIN XU, N. ERIC, "Does certainty tone matter? Effects of review certainty, reviewer characteristics, and organizational niche width on review usefulness", Information & Management, Décembre 2021, vol. 58, no. 8, pp. 103549DOI : 10.1016/j.im.2021.103549
DU, Q., J. LI, Y. DU, G. A. WANG, W. FAN, "Predicting crowdfunding project success based on backers' language preferences", Journal of the Association for Information Science and Technology (JASIST), Décembre 2021, vol. 72, no. 12, pp. 1558-1574DOI : 10.1002/asi.24530
LI, J., X. LUO, X. LU, T. MORIGUCHI, "The Double-Edged Effects of E-Commerce Cart Retargeting: Does Retargeting Too Early Backfire?", Journal of Marketing, Juillet 2021, vol. 85, no. 4, pp. 123-140DOI : 10.1177/0022242920959043
ZENG, F., Q. YE, J. LI, Z. YANG, "Does self-disclosure matter? A dynamic two-stage perspective for the personalization-privacy paradox", Journal of Business Research, Janvier 2021, vol. 124, pp. 667-675DOI : 10.1016/j.jbusres.2020.02.006
LUO, X., X. LU, J. LI, "When and How to Leverage E-commerce Cart Targeting: The Relative and Moderated Effects of Scarcity and Price Incentives with a Two-Stage Field Experiment and Causal Forest Optimization", Information Systems Research, Décembre 2019, vol. 30, no. 4, pp. 1203-1227DOI : 10.1287/isre.2019.0859