Jorge Fresneda Fernandez
Jorge Fresneda Fernandez
Assistant Professor of Digital Marketing and Marketing Analytics, MT School of Management
4030 Central Avenue Building
About Me
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.
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
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
Website
Teaching Interests
Marketing Research, Customer Analytics, Business Analytics, Marketing Strategy, Statistics, R Programming
Past Courses
MGMT 682: BUSINESS RESEARCH METHODS I
MGMT 782: BUSINESS RESEARCH METHODS II
MRKT 338: PRODUCT DEV & MANAGEMENT
MRKT 360: DIGITAL MARKETING
MRKT 378: MARKETING ANALYTICS
MRKT 620: GLOBAL MARKETING MANAGEMENT
MRKT 631: MARKETING RESEARCH
MRKT 645: DIGITAL MARKETING STRATEGY
MRKT 645: INTERNET MARKETING STRATEGY
MRKT 766: SEMINAR IN MRKT ANALYTICS
MGMT 782: BUSINESS RESEARCH METHODS II
MRKT 338: PRODUCT DEV & MANAGEMENT
MRKT 360: DIGITAL MARKETING
MRKT 378: MARKETING ANALYTICS
MRKT 620: GLOBAL MARKETING MANAGEMENT
MRKT 631: MARKETING RESEARCH
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
Journal Article
Cohen, Alex, & Fresneda Fernandez, Jorge Eduardo, & Anderson, Rolph (2023). How inaccessible retail websites affect blind and low vision consumers: their perceptions and responses. Journal of Service Theory and Practice, 33(3), 329-351.
Ping, Yanni , & Hill, Chelsey, & Zhu, Yun , & Fresneda Fernandez, Jorge Eduardo (2022). Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach. Electronic Commerce Research,
Akter, Sumya, & Prodhan, Rumman Ahmed, & Pias, Tanmoy, & Eisenberg, David , & Fresneda Fernandez, Jorge Eduardo (2022). M1M2: Deep Learning-Based Real-Time Emotion Recognition from Neural Activity. Sensors, 22(8467),
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.
Ping, Yanni , & Hill, Chelsey, & Zhu, Yun , & Fresneda Fernandez, Jorge Eduardo (2022). Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach. Electronic Commerce Research,
Akter, Sumya, & Prodhan, Rumman Ahmed, & Pias, Tanmoy, & Eisenberg, David , & Fresneda Fernandez, Jorge Eduardo (2022). M1M2: Deep Learning-Based Real-Time Emotion Recognition from Neural Activity. Sensors, 22(8467),
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.
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Conference Proceeding
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
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
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Chapter
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
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