Selected Publications:

1.    Jia*, J.S., Y. Li, S. Liu, N. Christakis, J. Jia* (2023), “Emergency Communications after Earthquake Reveal Social Network Backbone of Important Ties,” PNAS Nexus, Volume 2, Issue 11, November 2023, pgad358, https://doi.org/10.1093/pnasnexus/pgad358. (*Corresponding author)

2.   Jia, J.S.*, Y. Li, X. Lu, Y. Ning, N. Christakis, J. Jia* (2021), “Triadic Embeddedness Structure in Family Networks Predicts Mobile Communication Response to a Sudden Natural Disaster,” Nature Communications, 12(1): 4286, https://www.nature.com/articles/s41467-021-24606-7. (*Corresponding author).

3.      Chung, Y., Y. Li, and J. Jia (2021), “Exploring Embeddedness, Centrality, and Social Influence on Backer Behavior: The Role of Backer Networks in Crowdfunding,” Journal of the Academy of Marketing Science, 49, 925–946. 

4.      Jia, J.S., X. Lu, Y. Yuan, G. Xu, J. Jia*, N.A. Christakis (2020), "Population Flow Drives Spatio-Temporal Distribution of COVID-19 in China", Nature, Vol. 582, pp. 389-394. (*Corresponding author) 

5.      Wu, B., Y. Guan, and J. Jia (2020), “Does Online Ticket Booking System Make People Better Off? An Empirical Study on Railway Service,” Transportation Research Part F: Psychology and Behaviour, 73, 143-154.

6.      He, Y., J.S. Dyer, J.C. Butler, and J. Jia (2019), “An Additive Model of Decision Making under Risk and Ambiguity,” Journal of Mathematical Economics, Vol. 85, pp. 78-92.

7.      Cao, W, Feng X, Jia J, & Zhang H (2019), "Characterizing the structure of the railway network in China: A complex weighted network approach", Journal of Advanced Transportation.

8.      Jia*, J.S., J. Jia*, C. Hsee, and B. Shiv (2017), “The Role of Hedonic Behavior in Reducing Perceived Risk: Evidence from Post-Earthquake Mobile App Data,” Psychological Science, Vol. 28(1), pp. 23–35. (*Corresponding author)

9.      Chen, Rong and Jianmin Jia (2012), “Regret and Performance Uncertainty in Consumer Repeat Choice,” Marketing Letters, Vol. 23, No. 1, pp. 353-365.

10.  Jia, Jianmin, and James Dyer (2009), “Decision making based on risk value tradeoffs,” in The Mathematics of Preference, Choice and Order: Essays in Honor of Peter C. Fishburn, pp. 59-72, edited by Brames et al., Springer-Verlag (Studies in Choice and Welfare Series).

11.  Jia, J, J.S. Dyer, and J. Butler (2008), "Axiomatic models of perceived risk," in Encyclopedia of Quantitative Risk Analysis and Assessment, pp. 84-93, edited by Melnick E. & Everitt B., John Wiley & Sons.

12.  Jia, J, J.S. Dyer, and J. Butler (2008), "Axiomatic measures of risk and risk-value models,” in Encyclopedia of Quantitative Risk Analysis and Assessment, pp. 94-103, edited by Melnick E. & Everitt B., John Wiley & Sons.

13.  Butler, J.C., J.S. Dyer, J. Jia and K. Tomak (2008),“Enabling E-transactions with Multi-attribute Preference Models,” European Journal of Operational Research, Vol.186, No.2, pp.748-765.

14.  Butler, J.C.,  J.S. Dyer and J. Jia (2006), “Using Attributes to Predict Objectives in Preference Models,” Decision Analysis, Vol. 3, No. 2, pp.100-116.

15.  Chen, Rong and Jianmin Jia (2005), “Consumer choices under small probabilities: Overweighting or underweighting?” Marketing Letters, Vol. 16, No. 1, pp.5-18.

16.  Butler, J.C., J.S. Dyer and J. Jia (2005), “An empirical investigation of the assumptions of risk-value models,” Journal of Risk and Uncertainty, Vol. 30, No. 2, pp.133-156.

17.  Butler, J.C., A.N. Chebeskov, J.S. Dyer, T.A. Edmunds, J. Jia, V.I. Oussanov (2005),“The United States and Russia evaluate plutonium disposition options with multiattribute utility theory,” Interfaces, Vol. 35, No. 1, pp. 88-101.

18.  Luce, M.F., J. Jia and G.W. Fischer (2003), “How much do you like it? Within-alternative conflict and subjective confidence in consumer judgments,” Journal of Consumer Research, Vol. 30, No. 3, pp. 464-472.

19.  Jia, J., J.S. Dyer and J.C. Butler (2001), "Generalized disappointment models," Journal of Risk and Uncertainty, Vol. 22, No. 1, pp. 59-78.

20.  Fischer, G.W., J. Jia, and M.F. Luce (2000), “Attribute conflict and preference uncertainty: The RandMAU Model,” Management Science, Vol. 46, No. 5, pp. 669-684.

21.  Fischer, G.W., M.F. Luce, and J. Jia (2000), “Attribute conflict and preference uncertainty: Effects on response time and error,” Management Science, Vol. 46, No. 1, pp. 88-103.

22.  Jia, J., J.S. Dyer, and J.C. Butler (1999), "Measures of perceived risk," Management Science, Vol. 45, No. 4, pp. 519-532.

23.  Rust, R.T., J. J. Inman, J. Jia, and A. Zahorik (1999), "What you don’t know about customer-perceived quality: The role of customer expectation distributions," Marketing Science, Vol. 18, No. 1, pp. 77-92.

24.  Dyer, J.S., T. Edmunds, J.C. Butler, and J. Jia (1998), “A multiattribute utility analysis of alternatives for the disposition of surplus weapons-grade plutonium,” Operations Research, Vol. 46, No. 6, pp. 749-762.

25.  Dyer, James S. and Jianmin Jia (1998), "Preference conditions for utility models: A risk-value perspective," Annals of Operations Research, Vol. 80, pp. 167-182.

26.  Jia, J., G.W. Fischer, and J. S. Dyer (1998), "Attribute weighting methods and decision quality in the presence of response error: A simulation study," Journal of Behavioral Decision Making, Vol. 11, No. 2, pp. 85-105.

27.  Butler, J.C., J. Jia, and J.S. Dyer (1997), "Simulation techniques for the sensitivity analysis of multi-criteria decision models," European Journal of Operational Research, Vol. 103, No. 3, pp. 531-546.

28.  Dyer, James S. and Jianmin Jia (1997), "Relative risk-value models," European Journal of Operational Research, Vol. 103, No. 1, pp. 170-185.

29.  Inman, J.J., J.S. Dyer, and J. Jia (1997), "A generalized utility model of disappointment and regret effects on post-choice valuation," Marketing Science, Vol.16, No. 2, pp. 97-111.

30.  Jia, Jianmin and James S. Dyer (1996), "A standard measure of risk and risk-value models," Management Science, Vol. 42, No. 12, pp. 1691-1705.

Recent Chinese Publications:

1. 贾建民等. 大数据行为研究趋势：一个“时空关”的视角，《管理世界》，2020, No.2, 106-116, 211-212.

2. 袁 韵，徐 戈，陈晓红，贾建民. 城市交通拥堵与空气污染的交互影响机制研究—基于滴滴出行的大数据分析, 《管理科学学报》，2020, 23(2):54-73.

3. 曹炜威，刘圣，李宜威，贾建民. 结伴出行推动消费升级：来自铁路大数据的实证分析，《管理科学学报》，2020, 23(2):18-38.

4. 贾建民, 杨扬, 钟宇豪. 大数据营销的“时空关”,《营销科学学报》, 2021, No.1 (创刊号邀请论文).

Recent Research Grants:

1. “人工智能驱动的营销模式与消费者行为研究”，国家自然科学基金重点项目，#72332004, 1/2024-12/2028。(主持人)

2. “基于大数据的新发重大传染病监测、预警和应对”，国家自然科学基金专项项目，#72042009，4/2020-4/2021。(主持人)

3.  “大数据环境下的顾客洞察与市场营销策略研究”，国家自然科学基金重大项目, #71490722，1/2015-12/2019。(主持人)

Recent Awards:

1. 获2022年度深圳市科技进步奖一等奖。(主持人)

2. 获2029年度“复旦管理学杰出贡献奖”。