Headshot of Long Xia

Long Xia

Assistant Professor of Management Information Systems

Department: Management and Entrepreneurship

Office and address: Koury Business Center, Office 346 C 2075 Campus Box Elon, NC 27244

Phone number: (336) 278-5934

Professional Expertise

Data Analytics, Artificial Intelligence, Machine/Deep Learning, Tourism/Hospitality Management, Healthcare Analytics

Brief Biography

Long Xia is an Assistant Professor of Management Information Systems in the Love School of Business at Elon University. He received his Ph.D. in Business Analytics and Information Systems in 2020 from Virginia Tech, under the direction of Dr. G. Alan Wang and Dr. Weiguo Fan. His teaching and research interests focus on Information Systems, Business Intelligence, Data Analytics, Decision Support Systems, and Machine Learning. His prior works have been published in journals such as the Journal of Management Information Systems (JMIS), International Journal of Information Management, Tourism Management, Decision Support Systems, Journal of Electronic Commerce Research, and Information Discovery and Delivery. He also has several works under review at many premier journals, including the Journal of Operations Management (JOM), the International Journal of Tourism ResearchJournal of Hospitality and Tourism Management, etc.

News & Notes

Education

Virginia Tech: 

  • Ph.D. in Business Information TechnologyEmphasis: Business Analytics and Machine Learning
  • Dissertation Title: Human Learning-Augmented Machine Learning Frameworks for Text Analytics

Virginia Tech: 

  • Master of Science in Medicinal Chemistry

Courses Taught

Elon University: 

BUS 2110: Management Information Systems (2020 Fall, 2021 Spring, 2021 Fall, 2022 Spring, 2023 Winter, 2024 Spring, 2024 Fall)

MGT 4250: Data Visualization and Storytelling (2021 Spring, 2021 Fall, 2022 Spring, 2022 Fall, 2023 Spring)

MSBA 6605: Data-Driven Analytical Models (2024 Fall)

MSBA 6615: Information Storage and Data Visualization (2025 Winter)

MSBA 6970: Analytics for Business Strategies Capstone (2023 Spring, 2024 Spring)

MSBA 6620: Business Data Mining (2024 Winter)

MSBA 6750: Analytics for Business Strategies (2021 Spring, 2022 Spring)

MSBA 6610: Natural Language Processing with Deep Learning for Business (2022 Fall)

MSBA 6660: Deep Learning for Business (2025 Spring)

HCA 5600: Advanced Machine Learning for Healthcare (2025 Summer)

Virginia Tech: 

BIT 2405: Business Statistics, Analytics, and Modeling, 2019 Spring

Research

  • Machine Learning, Deep Learning, Natural Language Processing
  • Big Data Analytics
  • Text Mining/Analytics
  • Decision Support Systems
  • Econometrics
  • Healthcare Analytics
  • Tourism and Hospitality Management
  • Social and Electronic Commerce

Publications

Refereed Journal Publications: 

[1] Long Xia, "Navigating Remote Host Management and Strategic Information Disclosure in Airbnb: A Dual-Theory Perspective," International Journal of Information Management, 2025, 83, 102906. (2024 impact factor 20.1, A* in ABDC list) 

[2] Long Xia, Chris Lee, "Social Contagions in Business Resilience: Evidence from the U.S. Restaurant Industry in the COVID-19 Pandemic," Decision Support Systems, 2024, 184, 114288. (2021 impact factor 6.97, A* in ABDC list, with an undergraduate student

[3] Long Xia, Wenqi Shen, Weiguo Fan, G. Alan Wang, "Knowledge-Aware Learning Framework Based on Schema Theory to Complement Large Learning Models," Journal of Management Information Systems (JMIS), 2024, 41(2), 453-486. (FT50, 2022 impact factor 7.70, A* in ABDC list) 

[4] Long Xia, "The Impacts of Geographic and Social Influences on Review Helpfulness Perceptions: A Social Contagion Perspective," Tourism Management, 2023, 95, 104687. (2021 impact factor 12.88, A* in ABDC list)

[5] Long Xia, "What Makes a Drug Review Helpful? The Role of Patients’ Health Condition and Medical Experience Signals", Journal of Electronic Commerce Research, 2023, (24)2, 171-193. (2021 impact factor: 4.00, B in ABDC list)

[6] Long Xia, “Historical profile will tell? A deep learning-based multi-level embedding framework for adverse drug event detection and extraction," Decision Support Systems, 2022, 160, 113832. (2021 impact factor 6.97, A* in ABDC list) 

[7] Yongle Du, Long Xia, Ami Jo, Richey M Davis, Philippe Bissel, Marion F Ehrich, David GI Kingston, “Synthesis and Evaluation of Doxorubicin-Loaded Gold Nanoparticles for Tumor-Targeted Drug Delivery,” Bioconjugate Chemistry, 2018, 29(2), 420-430. (Co-first author, 2021 impact factor 6.07)

[8] Yufeng Ma, Long Xia, Wenqi Shen, Mi Zhou, Weiguo Fan, “A Surrogate-Based Generic Classifier for Chinese TV Series Reviews,” Information Discovery and Delivery, 2017, 45(2), 66-74. (2021 impact factor 1.94)

[9] Guo, Dongcai, Panliang Wu, Hui Tan, Long Xia, Wenhui Zhou. "Synthesis and Luminescence Properties of Novel 4-(N-Carbazole Methyl) Benzoyl Hydrazone Schiff Bases," Journal of Luminescence, 2011, 131(7), 1272-1276. (2021 impact factor 4.17)

 

Manuscripts Under Review (Ordered by Stages)

[1] Supply Chain Risks (Note: title simplified to maintain anonymity for peer review), Status: Preparing for 3rd round review at Production Planning & Control

[2] Risk Preference (Note: title simplified to maintain anonymity for peer review), Status: Reject & Resubmit at Journal of Operations Management (JOM)

[3] Geographic-Based Strategic Management in Sharing Economy (Note: title simplified to maintain anonymity for peer review), Status: Under 2nd round review at Journal of Hospitality and Tourism Management

[4] Cruise Experience Perceptions (Note: title simplified to maintain anonymity for peer review), Status: Under 1st round review at International Journal of Tourism Research. (With graduate/undergraduate students)

 

 

Refereed Conference Publications: 

[1] Long Xia, David Goldberg, Sukhwa Hong, Patricia Garvey, “Transfer Learning in Knowledge-Intensive Tasks: A Test in Healthcare Text Analytics,” in the Proceedings of the 2019 Americas Conference on Information Systems (AMCIS), Cancun, Mexico, 2019.

[2] David Goldberg, Patricia Garvey, Long Xia, Sukhwa Hong, “A Spatial Simulation Model for Ambulance Resource Scheduling,” in the Proceedings of the 2019 Americas Conference on Information Systems (AMCIS), Cancun, Mexico, 2019. 

[3] Long Xia, Alan Wang, Weiguo Fan, Wenqi Shen, “A Deep Learning Based Transfer Learning Framework for Healthcare Text Analytics,” in the Proceedings of the Pacific Asia Conference on Information Systems (PACIS), Xi’an, P.R. China, 2019. 

[4] Long Xia, Wenqi Shen, “Dynamic Impacts of Online Geographic Location-Based Social Media on Offline Vehicle Sales,” in the Proceedings of the 2018 Conference on Information Systems and Technology (CIST), Phoenix, USA, 2018. 

[5] Long Xia, Juheng Zhang, Yili Hong, Weiguo Fan, “Strategic Information Disclosure in the Sharing Economy: Evidence from Airbnb,” in the Proceedings of the 12th China Summer Workshop on Information Management (CSWIM), Qingdao, P.R. China, 2018.

[6] Long Xia, G. Alan Wang, Weiguo Fan, “A Deep Learning Based Named Entity Recognition Approach for Adverse Drug Events Identification and Extraction in Health Social Media,” in the Proceedings of the 2017 International Conference on Smart Health (ICSH), HK, China, 2017. (Best Paper Award Runner-Up)

[7] Long Xia, Xuan Zhang, Brandon Fan, Weiguo Fan, “Healthcare Fraud Detection at Physician Level Using Open Data,” in the Proceedings of the 2017 INFORMS Workshop on Data Science, Houston, USA, 2017.

[8] Long Xia, Yufeng Ma, Weiguo Fan, “VTIR at the NTCIR-12 2016 Lifelog Semantic Access Task,” in the Proceedings of NTCIR-12, Tokyo, Japan, 2016.

Presentations

[1] "Homophily and Network Effects: Finding Relevant and Helpful Reviews from Online Reviews," INFORMS Annual Meeting, Anaheim, CA, USA, October 2021.

[2] “A Human Learning Guided Machine-Learning Framework for Text Analytics,” AMCIS 2019 Doctoral Consortium, Cancun, Mexico, August 2019.

[3] “Transfer Learning in Knowledge-Intensive Tasks: A Test in Healthcare Text Analytics,” Americas Conference on Information Systems (AMCIS), Cancun, Mexico, August 2019.

[4] “A Spatial Simulation Model for Ambulance Resource Scheduling,” Americas Conference on Information Systems (AMCIS), Cancun, Mexico, August 2019.

[5] “Human Learning Guided Design of a Transfer-Learning Framework for Text Analytics,” Virginia Tech BIT Research Seminar Series, Blacksburg, VA, USA, May 2018.

[6] “The Dynamic Impacts of Online Geographic Location-Based Social Media on Offline Vehicle Sales,” Conference on Information Systems and Technology (CIST), Phoenix, AZ, USA, November 2018.

[7] “Adverse Drug Events Detection and Recognition: A Deep Learning Based Approach,”INFORMS Annual Meeting, Phoenix, AZ, USA, November 2018.

[8] “Strategically Combining Human Intelligence and Machine Intelligence in Clinical Decision Support Systems,” INFORMS Annual Meeting, Phoenix, AZ, USA, November 2018.

[9] “Strategic Information Disclosure in the Sharing Economy: Evidence from Airbnb,” China Summer Workshop on Information Management (CSWIM), Qingdao, China, June 2018.

[10] “Learn from Context: An Advanced Learning-Based Approach for Health Social Media Analytics - Adverse Drug Events Extraction,” INFORMS Annual Meeting, Houston, TX, USA, October 2017. 

[11] “Healthcare Fraud Risk Prediction at Physician Level Using Open Data,” INFORMS Workshop on Data Science, Houston, TX, USA, October 2017.

Professional Activities

Ad-hoc Reviewer for Journals

  • Information Systems Research
  • Decision Support Systems
  • Information Technology and Management
  • Electronic Commerce Research and Applications
  • Transactions on Management Information Systems
  • Information Processing & Management 
  • Transactions on Information Systems

Ad-hoc Reviewer for Conferences

  • Conference on Information Systems and Technology (CIST), 2021
  • Academy of Marketing Science Conference, 2021
  • Hawaii International Conference on System Sciences (HICSS), 2021
  • International Conference on Information Systems (ICIS), 2019, 2020, 2021, 2022
  • Pacific Asia Conference on Information Systems (PACIS), 2019
  • China Summer Workshop on Information Management (CSWIM), 2018–2019, 2021
  • IEEE ICDM Workshop on Intelligence and Security Informatics (ISI-ICDM), 2017
  • INFORMS Workshop on Data Science, 2017

Awards

  • Beta Gamma Sigma Elon University Chapter Professor of the Year, 2023
  • Love School of Business Dean’s Award for Excellence in Scholarship, 2022-2023
  • Love School of Business Dean’s Award for Excellence in Teaching, 2021-2022
  • AMCIS Doctoral Consortium, 2019
  • Deloitte Foundation Data Analytics Fellowship, 2018–2019 ($10,000)
  • Summer Research Grant, Pamplin College of Business, Virginia Tech, 2018 ($6,000)
  • Research Grant from NCI Information Systems, Inc., 2017–2018 ($50,000, Co-PI)
  • Summer Research Grant, Pamplin College of Business, Virginia Tech, 2017 ($6,000)
  • Best Paper Award Runner-Up at the International Conference on Smart Health, 2017
  • Leidos Research Fellowship, 2016–2017 ($20,000)