Jingbo Hou
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BAC 677 Tempe, AZ 85287-4606
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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 participate in 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. Regarding the micro-level impacts of digital technologies, 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). Regarding the macro-level impacts of digital technologies, he is interested in exploring the positive societal effects of Information and Communications Technology (ICT), e.g., telework adjustment and social media.
W. P. Carey School of Business, Arizona State University, Tempe, The United States, 2018-2023 (Expected)
- Ph.D. in Business Administration (Information Systems)
- Committee Chair: Prof. Pei-yu Chen
- Committee Members: Prof. Bin Gu, Prof. Yili (Kevin) Hong
Information School, Renmin University of China, Beijing, China, 2015- 2018
- M.Eng. in Management Science and Engineering
School of Information Management, Sun Yat-sen University, Guangzhou, China, 2011-2015
- B.Mgmt. in Information Management and Information System (with Honor)
- Main Areas: Digital Platforms, Digital Media, Information and Communication Technology, Future of Work, Economics of AI/ML, Crowdsourcing Contest
- Developing Areas: Digital Finance (e.g., Cryptocurrency)
- Methodologies: Econometrics Analysis, Machine Learning (e.g., natural language processing, clustering, image processing, deep neural networks)
1. Jingbo Hou, Ni Huang, Gordon Burtch, Yili Hong, Pei-yu Chen, “Evaluating the Efficacy of Platform-Imposed Application Costs for Managing Congestion in Online Matching Markets,” in preparation for the 2nd round review, major revision, Management Science. Available at SSRN.
- INFORMS Conference on Information Systems and Technology 2019 (CIST2019), Seattle, WA.
- 29th Workshop on Information Technologies and Systems (WITS 2019), Munich, Germany.
- 2019 INFORMS Annual Meeting (INFORMS 2019), Seattle, WA.
2. Jingbo Hou, Chen Liang, Pei-yu Chen, Bin Gu, “Does Telework Adjustment Reduce Unequal Impacts of the COVID-19 Disaster on Job Losses Across Genders?” under the 2nd round review, major revision, Information Systems Research. Available at SSRN.
- ISR Disaster Management Special Issue Workshop.
- 2021 International Conference on Information Systems (ICIS 2021), Austin, TX. Best Paper Nominee.
- 2021 Workshop on Information Systems and Economics (WISE 2021), Austin, TX.
- Conference on Information Systems and Technology 2021 (CIST2021), Newport Beach, CA.
- 2022 Hawaii International Conference on System Sciences (HICSS 2022), Maui, HI.
- 17th Annual Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2021), Virtual Conference.
- 2021 INFORMS Annual Meeting (INFORMS 2021), Newport Beach, CA.
- This research was also presented by Dr. Bin Gu at Boston University.
3. Jingbo Hou, Chen Liang, Pei-yu Chen, “Local vs. Social: How Social Information Intensity Shapes Preventive Behavior in the Context of COVID-19,” in preparation for the 2nd round review, major revision, Production and Operations Management. Available at SSRN.
- 2021 International Conference on Information Systems (ICIS 2021), Austin, TX.
- 2022 INFORMS Annual Meeting (INFORMS 2022), Indianapolis, IN.
4. Jingbo Hou, Amin Sabzehzar, Yili Hong, Pei-yu Chen, “Can Machine-generated Content Improve Equality in Online Two-sided Platforms?” in preparation for submission to Management Science.
- 2021 International Conference on Information Systems (ICIS 2021), Austin, TX.
- 17th Annual Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2021), Virtual Conference.
- 2021 Conference on Artificial Intelligence, Machine Learning, and Business Analytics (AIML 2021), Virtual Conference.
- 32nd Annual POMS Conference (POMS Conference 2022), Virtual Conference.
- This research was also presented by Dr. Pei-yu Chen at Washington University, McGill University, and the University of Science and Technology of China.
5. Jingbo Hou, Pei-yu Chen, Bin Gu, “Exploration vs. Exploitation: Solution Visibility and Solver Performance in Online Crowdsourcing Contests,” Targeting Journal: Information Systems Research.
- INFORMS Conference on Information Systems and Technology 2020 (CIST 2020), Virtual Conference.
- 16th Annual Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2020), Virtual Conference.
- 2021 Hawaii International Conference on System Sciences (HICSS 2021), Maui, HI.
- 2020 INFORMS Annual Meeting (INFORMS 2020), Virtual Conference.
6. Jingyi Jiang, Jingbo Hou, “The Role of Editorial Recommendation on Mitigating Cold-Start Issue,” Targeting Journal: Information Systems Research.
- 18th Annual Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2022), Madrid, Spain.
Courses
2022 Summer
Course Number | Course Title |
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CIS 315 | Intro Business Data Analytics |
CIS 315 | Intro Business Data Analytics |
Outstanding Research Award of IS Department, W. P. Carey School of Business 2022 Best Paper Nominee of International Conference on Information Systems (ICIS) 2021 2021 Ph.D. Summer Research Grant from Information Systems Department 2019-2022 China National Scholarship (top 2% university-wide) 2012-2013 Outstanding Graduates in Sun Yat-sen University 2015
- (Ad-hoc) Journal: Information Systems Research (ISR), Electronic Commerce Research and Applications (ECRA), Decision Support Systems (DSS), Information Systems Frontiers (ISF), Information Systems Journal (ISJ)
- Conferences: International Conference on Information Systems (ICIS) 2019-2022, Hawaii International Conference on System Sciences (HICSS) 2019-2022, Americas Conference on Information Systems (AMCIS) 2020, European Conference on Information Systems (ECIS) 2020&2022, Pacific Asia Conference on Information Systems (PACIS) 2020-2021, Workshop on Information Technologies and Systems (WITS) 2022, INFORMS Conference on Information Systems and Technology (CIST) 2019&2022, China Summer Workshop on Information Management (CSWIM) 2019&2021, Annual Conference - Decision Sciences Institute (DSI) 2021
- Program Committee: China Summer Workshop on Information Management (CSWIM) 2019&2021
- Session Chair: Workshop on Information Technologies and Systems (WITS) 2019, International Conference on Information Systems (ICIS) 2021