Jorge Eduardo Fresneda Fernandez
Assistant Professor, Martin Tuchman School of Management
4030 Central Avenue Building (CAB)
About Me
Jorge Fresneda is the Hurlburt Chair Professor and an Associate Professor in Digital Marketing, Marketing Analytics and Sports Analytics at the Martin Tuchman School of Management - NJIT. His research interest expands from the role of information in Online Consumer Reviews as influencing online consumers, to the economic impact derived from the lack of accessibility of e-commerce sites. Jorge has extensive experience as a higher education instructor in the areas of digital marketing and analytics at the undergraduate, master, and doctoral levels.
Education
Ph.D.; Drexel University; Marketing; 2017

M.S.; UNED (Universidad Nacional de Educacion a Distancia); Applied Statistics; 2014

M.A.; EAE Business School; Marketing and Sales Management; 2010

B.S.; University of Alcala; Chemistry; 2003

Teaching Interests
Marketing Research, Business Analytics, Sports Analytics, Marketing Strategy, Statistics, R Programming, Data Science
Past Courses
BDS 791: DOCTORAL SEMINAR

MGMT 682: BUSINESS RESEARCH METHODS I

MGMT 782: BUSINESS RESEARCH METHODS II

MIS 423: SPORTS MANAGEMENT AND ANALYTICS WITH PYTHON APPLICATION

MRKT 338: PRODUCT DEV & MANAGEMENT

MRKT 360: DIGITAL MARKETING

MRKT 378: MARKETING ANALYTICS

MRKT 620: GLOBAL MARKETING MANAGEMENT

MRKT 631: MARKETING RESEARCH

MRKT 632: MARKETING STRATEGY FOR TECHNOLOGY-BASED ORGANIZATIONS

MRKT 645: DIGITAL MARKETING STRATEGY

MRKT 645: INTERNET MARKETING STRATEGY

MRKT 766: SEMINAR IN MRKT ANALYTICS

Research Interests
E-Commerce, Online Customer Reviews, Digital Marketing and Social Media, Statistical Text Analysis, Accessibility of Online Commerce, Applied Bayesian Statistics, Applied Robust Statistics, Data Science Applications (e.g., Healthcare)
Journal Article
Jorge Eduardo Fresneda Fernandez, David Gefen, Chelsey H. Hill. 2026. "All That Glitters Is Not Gold: Identification, Extraction, and Applications of Product Information from Online Consumer Reviews." Journal of Electronic Commerce Research , vol. 27 , no. 4 , pp. 312-334.

Chelsey H. Hill, Fatima Irshaidat, Marina Johnson, Jorge Eduardo Fresneda Fernandez. 2025. "An analytical assessment of sentiment analysis trends and methods through systematic review and topic modeling." Decision Analytics Journal , vol. 17 , no. 100644 .

Roshani Bharati, Chelsey H. Hill, Jorge Eduardo Fresneda Fernandez. 2025. "From Orders to Opinions: What Consumer Reviews Reveal About Their Online Grocery Shopping Experience During the Pandemic." Electronic Commerce Research .

Chelsey H. Hill, Jorge Eduardo Fresneda Fernandez, Murugan Anandarajan. 2025. "The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results." Journal of Big Data , vol. 12 , no. 129 .

Simon Bin Akter, Sumya Akter, Rakibul Hasan, Md Mahadi Hasan, Tanmoy Sarkar Pias, Riasat Azim, Jorge Eduardo Fresneda Fernandez, David Eisenberg. 2025. "Optimizing stability of heart disease prediction across imbalanced learning with interpretable Grow Network." Computer Methods and Programs in Biomedicine , vol. 265 , no. 108702 .

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Other
"Women Leadership Program: Predictors of Webinar Evaluation And Word Of Mouth"
2026 American Psychological Association Conference, August, 2026.

"Three Papers on the Role of Information in Online Consumer Reviews"
Drexel University Libraries, June, 2017.

Conference Proceeding
"Tracing the Sentiment through a Systematic Literature Review: A Decade of Trends in Sentiment Analysis Research"
Decision Sciences Institute Annual Conference, December, 2025.

"Correcting Racial Bias in AI Prediction: An Interpretable, Cost-Aware Solution to Balance Skin Lesion Disparities"
INFORMS Annual Meeting, November, 2025.

"Interpretable Electrode-Band Optimization for Affective Emotion Decoding"
INFORMS Annual Meeting, November, 2025.

"When Technology Knows Us Better Than We Know Ourselves: A Multi-Modal Comparison of Human Preference Prediction Methods"
INFORMS Annual Meeting, November, 2025.

"Digital Inaccessibility of Company Online Job Postings: Widespread Errors, International Results, and the Relevance of ESG Ratings"
Society for Business Ethics Annual Meeting, August, 2025.

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Conference Paper
"Neuromarketing Techniques to Enhance Consumer Preference Prediction"
Proceedings of the 57th Hawaii International Conference on System Sciences, January (1st Quarter/Winter), 2024.

Conference Abstract
"Consumer Sentiments Regarding Curbside Pickup and Home Delivery Channels for Online Grocery Shopping During the Covid-19 Pandemic"
Decision Sciences Institute Annual Conference, November, 2023.

Chapter
David Gefen, Jorge Eduardo Fresneda Fernandez, Kai R. Larsen. "Trust and Distrust as Artifacts of Language: A Latent Semantic Approach to Studying Their Linguistic Correlates." In Semantic Algorithms in the Assessment of Attitudes and Personality [E-book] - Arnulf, J. K., Larsen, K. R., Martinsen, O. L., Nimon, K. F., eds., "Semantic Algorithms in the Assessment of Attitudes and Personality [E-book]," Frontiers in Psychology, 2021.

Jorge Eduardo Fresneda Fernandez. "Latent Semantic Analysis in Python." In Practical Text Analytics - Sharda, R. & Chen, H., eds., "Practical Text Analytics – A Content Analysis Perspective to Maximize the Value of Your Text Data," Springer, 2018.

Jorge Eduardo Fresneda Fernandez. "SAS Visual Text Analytics." In Practical Text Analytics - Sharda, R. & Chen, H., eds., "Practical Text Analytics – A Content Analysis Perspective to Maximize the Value of Your Text Data," Springer, 2018.