Jingbo Hou

Jingbo Hou

Ph.D. Candidate in Information Systems

Arizona State University

Biography

Jingbo Hou is a Ph.D. candidate of Information Systems at the W.P. Carey School of Business at Arizona State University. He is on the job market this year (2022-2023). He will attend CIST and INFORMS 2022 (Oct 15 - 18, 2022)  in Indianapolis, IN and the ICIS 2022 Doctoral Consortium (Dec 7 - 10, 2022) in Copenhagen, Denmark.

Jingbo Hou is interested in advancing the understanding of the business implications of emerging digital technologies at both micro and macro levels. At the micro level, he is interested in examining the role of online market designs (e.g., application costs, machine-generated content, non-personalized recommendations, and solution visibility) in alleviating the information asymmetries and improving the matching efficiencies for different types of online two-sided platforms (e.g., online labor market, online data sharing platform, and online crowdsourcing competition community). At the macro level, he is interested in exploring the positive societal effects of Information and Communications Technology (ICT), e.g., telework adjustment and social media. 

He taught two online sessions of CIS 315 - Intro Business Data Analytics. The course evaluation for the first session is 6.1/7.0, and the course evaluation for the second session is 6.2/7.0.

Download my resumé.

Interests
  • Digital Platforms
  • Digital Media
  • Information and Communication Technology
  • Future of Work
  • Economics of AI/ML
  • Labor Market
  • Crowdsourcing Contest
Education
  • Ph.D. in Business Administration (Information Systems), 2023

    Arizona State University

  • M.Eng. in Management Science and Engineering, 2018

    Renmin University of China

  • B.Mgmt. in Information Management and Information System (with Honor), 2015

    Sun Yat-sen University

Reserach

Contact References

Dr. Pei-yu Chen (Committee Chair)

Chair, Department of Information Systems at W. P. Carey School of Business, Arizona State University

Website: https://search.asu.edu/profile/2217544 

Dr. Bin Gu 

Chair, Department of Information Systems at Questrom School of Business, Boston University

Website: https://www.bu.edu/questrom/profile/bin-gu/ 

Dr. Yili (Kevin) Hong 

Professor of Business Technology at Miami Herbert Business School, University of Miami

Website: http://kevinhong.me/

Read More

Skills

stata_icon
Stata
Python
R

Industrial Experience

 
 
 
 
 
Game Operation
May 2014 – Jun 2014 Guangzhou

Job responsibility:

  • Conduct business data analyses
  • Write business reports
  • Popular game operation
 
 
 
 
 
Research Assistant
Nov 2019 – Dec 2019 Shenzhen

Job responsibility:

  • Conduct business data analyses with AI techniques
  • Write business reports

Teaching

He taught two online sessions of CIS 315 - Intro Business Data Analytics. The course evaluation for the first session is 6.1/7.0, and the course evaluation for the second session is 6.2/7.0. He is most interested in teaching courses related to the following topics:

  • Data Analytics Coursesa: Business Analytics, Machine Learning, Text Mining, Unstructured Data Management, Business Intelligence and Programming, Social Networks, Applied Econometrics, and Applied Regression Analysis
  • Core IS Courses: Introductory Information Systems, Information Systems Analysis and Design, IT Project Management, and IT strategy, Database Systems, and Applications

Selected Student Comments:

  • “Although this is an online course, the instructor did an excellent job of giving feedback to the students. I was able to get a lot of help from the instructor through his corrections and detailed comments on the assignments.”
  • “Mr. Hou is very available and responsive to questions. He was a great resource for this class which is unusual for an asynchronous online course. I like how he used slack and released grades promptly.”
  • “Love how fast he grades assignments and that comments are meaningful. I am grateful to have an instructor who cares about his students as well as their input.”
  • “I really appreciated the individual feedback on all of the homework. Please continue doing that.”
  • “The instructor was very responsive and always willing to answer questions. The instructor was continually looking for ways to improve the course and I appreciated that.”

Accomplish­ments

Coursera
Convolutional Neural Networks
See certificate
Coursera
Improving Deep Neural Networks
See certificate
Coursera
Neural Networks and Deep Learning
See certificate

Contact