Menu Search

Jorge Eduardo Fresneda Fernandez

Contact Info

Title: Asst. Professor of Digital Marketing & Analytics
Email: jorge.e.fresnedafernandez@njit.edu
Office: CAB 4030
Hours: Mondays & Thursdays (4:00pm - 6:00pm)
Phone: 973-596-8569
Dept: Martin Tuchman School of Management

About

Jorge Fresneda (PhD) is an Assistant Professor of Digital Marketing and Marketing Analytics. He joined NJIT after finishing his PhD at the LeBow College of Business - Drexel University. His research interest expands from the role of online information as influencing consumers, to the lack of accessibility of e-commerce sites for people with disabilities. An important part of his research deals with the application of different methods to analyze unstructured online data, such as Artificial Intelligence, Latent Semantic Analysis, or Topic Models.

Dr. Fresneda also works with companies to develop innovative data analysis methods focused on extracting information from readily available online sources. He regularly conducts workshops on automatic methods of text analysis, targeted to both business students and practitioners.

Education

PhD Marketing, LeBow College of Business – Drexel University, 2017
MSc Applied Statistics, UNED, 2014
MA Marketing and Sales Management, EAE Business School, 2010
BSc Chemistry, University of Alcala, 2003

Honors & Awards

Dr. John J. Clark Outstanding PhD Research Paper Award – LeBow College of Business        2016     
Best Graduate Business Research paper, Drexel University Research Day                               2014
Recipient, UNED scholarship                                                                                                       2013
Recipient, Avanza 2.0 Scholarship, Industry, E&T Ministry of Spain                                           2012
Recipient, Doctoral Assistantship, LeBow College of Business                                                   2012

Teaching

MRKT-338 Product Development and Management
MRKT-645 Internet Marketing Strategy
MGMT-682 Business Research Methods
MRKT-725 Independent Study

Research

 

E-Commerce
Online Customer Reviews
Digital Marketing and Social Media
Statistical Text Analysis
Accessibility of e-Commerce
Applied Bayesian Statistics
Applied Robust Statistics

Publications

Refereed Journal Publications

Gefen, David; Endicott, James; Fresneda, Jorge; Miller, Jacob; and Larsen, Kai R. “A Guide to Text Analysis with Latent Semantic Analysis in R with Annotated Code Studying Online Reviews and the Stack Exchange Community.” Communications of the Association for Information Systems. 41, 1, 450-496, 2017.
Fresneda, Jorge; Korschun, Daniel; Kothandaraman, Prabakar “CSR as an Adaptive Selling Tool: a Novel Framework and a Robust Analysis Proposal.” In: Kim K. (eds) Celebrating America’s Pastimes: Baseball, Hot Dogs, Apple Pie and Marketing? Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham, 2016.

Refereed Proceedings

Cohen, Alex H.; Fresneda, Jorge; and Anderson, Rolph E. (2018), "Negative Word of Mouth Effects When Demographics Differ: A Preliminary Test of Substitutional Empathy for the Transgender Community," Columbus (OH), 2018 AMA Marketing and Public Policy Conference.
Fresneda, Jorge and Gefen, David (2017), “All That Glitters is Not Gold: Extracting Product Information from Online Consumer Reviews,” Houston (TX), Manufacturing- 2017 INFORMS Annual Meeting.
Cohen, Alex H.; Fresneda, Jorge; and Anderson, Rolph E. (2017), "Arguing for Policy Change: Vision Impaired Consumers’ Anti-Firm Reaction to Accessibility-Related Service Failures in the Online Marketplace," Orlando (FL), American Marketing Association Winter Marketing Academic Conference.
Fresneda, Jorge and Gefen, David (2016), "Decomposing Online Reviews: Information, Emotions, and Review Accessibility," Nashville (TN), Data Mining in Marketing- 2016 INFORMS Annual Meeting.
Cohen, Alex H.; Fresneda, Jorge; and Anderson, Rolph E. (2016), "Online Accessibility of Sports Teams’ Websites: Impact on Fanship and Purchase Intentions," Las Vegas (NV), American Marketing Association Winter Marketing Academic Conference.
Fresneda, Jorge and Gefen, David (2016), “Applying Text Analysis to Determine Factors that Increase the Assessed Usefulness of Online Product Reviews,” Lake Buena Vista (FL), Academy of Marketing Science Annual Conference.
Fresneda, Jorge and Gefen, David (2016), “Automatic Methods for Online Review Classification: An Empirical Investigation of Review Usefulness,” Lake Buena Vista (FL), Academy of Marketing Science Annual Conference.
Fresneda, Jorge and Swaminathan, Srinivasan (2016), “Impact of Individual, Brand, and Promotion Characteristics on Coupon Redemptions,” Lake Buena Vista (FL), Academy of Marketing Science Annual Conference.