Jorge Fresneda Fernandez

Jorge Fresneda is an Assistant Professor in Digital Marketing and Marketing 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 is the instructor of Product Development and Management and Marketing Analytics (undergraduate) and Digital Marketing Strategy and Marketing Research (MS/MBA) at NJIT.

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

http://jorgefresneda.weebly.com

MRKT 378 - MARKETING ANALYTICS

BDS 792B - PRE-DOCTORAL RESEARCH

MRKT 360 - DIGITAL MARKETING

BDS 725 - INDEPENDENT RESEARCH I

BDS 790A - DOCTORAL DISSERTATION & RES

Marketing Research, Customer Analytics, Business Analytics, Marketing Strategy, Statistics, R Programming

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

Tanmoy Sarkar, Pias, & Eisenberg, David, & Fresneda Fernandez, Jorge Eduardo (2022). Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors. Sensors, 22(4397),

Fresneda Fernandez, Jorge Eduardo, & Hui, Jeremy, & Hill, Chelsey (2022). Market Segmentation in the Emoji Era. Communications of the ACM, 65(4), 105–112.

Fresneda Fernandez, Jorge Eduardo, & Chandrashekaran, Rajesh (2021). New roles of social media in the marketplace call for new strategic approaches in marketing [Editorial]. South Asian Journal of Business Studies, 10(3), 273-277.

Fresneda Fernandez, Jorge Eduardo, & Burnham, Thomas, & Hill, Chelsey (2021). Structural Topic Modeling Segmentation: A Method Combining Latent Content and Customer Context. Journal of Marketing Management, 37(7-8), 792-812.

Fresneda Fernandez, Jorge Eduardo, & Gefen, David (2020). Gazing at the Stars Is Not Enough, Look at the Specific Word Entropy Too. Information & Management, 57(8),

Key Opinion Leader (KOL) and Business Growth: A Machine Learning Approach
2022 Digital Marketing and eCommerce Conference, March 2022

Will online grocery sales continue record pace after Covid-19? Investigating consumer reviews
AMA Winter Academic Conference, February 2022

Accessibility of University Athletic Program Websites: Findings and Recommendations from a Two-Year Study
AMA Marketing and Public Policy Conference, June 2021

The Accessibility of University Athletic Program Websites: A Juxtaposition of Policy Issues
AMA Marketing and Public Policy Conference, June 2020

Preliminary Test of the Consumer Normalcy Scale
Academy of Marketing Science Annual Conference, June 2019

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

Fresneda Fernandez, Jorge Eduardo (2018). Latent Semantic Analysis in Python, Practical Text Analytics - Sharda, R. & Chen, H. (Eds.), Springer. Springer

Fresneda Fernandez, Jorge Eduardo (2018). SAS Visual Text Analytics, Practical Text Analytics - Sharda, R. & Chen, H. (Eds.), Springer. Springer