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Profile

Dr. Xi Chen's research focuses on quantitative marketing and digital marketing, with particular interests in the impact of digital tools and platforms on consumer behaviors and the implications for company strategies and public policies.  Dr. Xi Chen received his PhD in Marketing from School of Business and Management at the Hong Kong University of Science and Technology.

Research Interests

  • Quantitative Marketing
  • Digital Marketing  
  • Consumer Policy  
  • Social Network Theory
  • Causal Inference

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Publications

Academic (2)
  • Chen, X., van der Lans, RJA., & Trusov, M. (2021). Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks. Management Science, 67(12), 7575-7598. https://doi.org/10.1287/mnsc.2020.3885

  • Chen, X., van der Lans, RJA., & Phan, T. Q. (2017). Uncovering the Importance of Relationship Characteristics in Social Networks: Implications for Seeding Strategies. Journal of Marketing Research, 54(2), 187-201. https://doi.org/10.1509/jmr.12.0511

Academic (1)
  • Chen, X., van der Lans, RJA., & Trusov, M. (2017). Integrating social networks into marketing decision models. In Handbook of Marketing Decision Models Springer-Verlag.

Academic (1)

Courses

Current Topics in Marketing Research

  • Study year: 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2016/2017, 2015/2016
  • Code: BERMASC040
  • ECTS: 5 Level: Master, PhD

Marketing Strategy Research

  • Study year: 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
  • Code: BM05MM
  • Level: ERIM, Exchange, IM/CEMS, Master

Thesis Topic Development

  • Study year: 2022/2023, 2021/2022, 2020/2021
  • Code: BM06MM
  • Level: Master

Marketing Models

  • Study year: 2022/2023, 2021/2022, 2020/2021
  • Code: BM07BAM
  • Level: Master

FI master thesis

  • Study year: 2022/2023, 2021/2022
  • Code: BMMTFI
  • Level: Master

MM Master Thesis

  • Study year: 2022/2023, 2021/2022
  • Code: BMMTMM
  • Level: Master

Marketing Management Thesis Clinic

  • Study year: 2022/2023, 2021/2022
  • Code: BMRMMM
  • Level: Master

Past courses

BDS-Thesis

  • Study year: 2020/2021
  • Code: EBDS-THESIS

Causal Inference & Experimentation

  • Study year: 2020/2021
  • Code: EBDS20106
  • Level: Master

Digital Marketing Strategy

  • Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
  • Code: BMME056
  • ECTS: 6 Level: Master, Master, Master, Master

Advanced Marketing Decision Models

  • Study year: 2019/2020
  • Code: BERMASC044
  • ECTS: 4 Level: Master

Advanced Marketing Decision Models

  • Study year: 2016/2017
  • Code: BERMASC041
  • ECTS: 7 Level: Master

Current Topics in Marketing Research

  • Study year: 2014/2015
  • Code: BERMASC037
  • ECTS: 3 Level: Master

Marketing strategy research

  • Study year: 2014/2015
  • Code: RSM05MM
  • ECTS: 4 Level: Master

Featured on RSM Discovery

RSM Discovery magazine 37 – out now!

Issue 37: devoted to understand the benefits of data analytics in an age where big data have become woven into the very fabric of our lives.

How to identify the most effective influencers in social networks

Social influencers can help with spreading new ideas through networks. Researcher Xi Chen discovered how to select the most effective ones.