Jorge Eduardo Fresneda Fernandez
Jorge Eduardo Fresneda Fernandez
Associate Professor, MT School of Management
About Me
Jorge Fresneda is 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 business 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
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
2025 Spring Courses
MGMT 782 - BUSINESS RESEARCH METHODS II
BDS 725 - INDEPENDENT STUDY I
BDS 792B - PRE-DOCTORAL RESEARCH
MIS 423 - SPORTS MANAGEMENT & ANALYTICS
BDS 790A - DOCTORAL DISSERTATION & RES
BDS 725 - INDEPENDENT STUDY I
BDS 792B - PRE-DOCTORAL RESEARCH
MIS 423 - SPORTS MANAGEMENT & ANALYTICS
BDS 790A - DOCTORAL DISSERTATION & RES
Teaching Interests
Marketing Research, Customer Analytics, Business Analytics, Marketing Strategy, Statistics, R Programming
Past Courses
BDS 791: DOCTORAL SEMINAR
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 632: MARKETING STRATEGY FOR TECHNOLOGY-BASED ORGANIZATIONS
MRKT 645: DIGITAL MARKETING STRATEGY
MRKT 645: INTERNET MARKETING STRATEGY
MRKT 766: SEMINAR IN MRKT ANALYTICS
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 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
Journal Article
Simon Bin Akter, Sumya Akter, Rakibul Hasan, Md Mahadi Hasan, A.M. Tayeful Islam, Pias Tanmoy Sarkar, Jorge Eduardo Fresneda Fernandez, Md. Golam Rabiul Alam, David Eisenberg. 2025. “Early Detection of Subjective Cognitive Decline from Self-Reported Symptoms: An Interpretable Attention-Cost Fusion Approach.” Journal of Biomedical Informatics, vol. 162, no. 104770.
Simon Bin Akter, Sumya Akter, Moon Das Tuli, David Eisenberg, Aaron Lotvola, Humayera Islam, Jorge Eduardo Fresneda Fernandez, Maik Hüttemann, Tanmoy Sarkar Pias. 2025. “Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction.” Computers in Biology and Medicine, vol. 184, no. 109413.
Alex H. Cohen, Jorge Eduardo Fresneda Fernandez, Rolph E. Anderson. 2023. “How inaccessible retail websites affect blind and low vision consumers: their perceptions and responses.” Journal of Service Theory and Practice, vol. 33, no. 3, pp. 329-351.
Yanni Ping, Chelsey Hill, Yun Zhu, Jorge Eduardo Fresneda Fernandez. 2022. “Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach.” Electronic Commerce Research, vol. 23, pp. 1459–1484.
Sumya Akter, Rumman Ahmed Prodhan, Tanmoy S. Pias, David Eisenberg, Jorge Eduardo Fresneda Fernandez. 2022. “M1M2: Deep Learning-Based Real-Time Emotion Recognition from Neural Activity.” Sensors, vol. 22, no. 8467.
Simon Bin Akter, Sumya Akter, Moon Das Tuli, David Eisenberg, Aaron Lotvola, Humayera Islam, Jorge Eduardo Fresneda Fernandez, Maik Hüttemann, Tanmoy Sarkar Pias. 2025. “Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction.” Computers in Biology and Medicine, vol. 184, no. 109413.
Alex H. Cohen, Jorge Eduardo Fresneda Fernandez, Rolph E. Anderson. 2023. “How inaccessible retail websites affect blind and low vision consumers: their perceptions and responses.” Journal of Service Theory and Practice, vol. 33, no. 3, pp. 329-351.
Yanni Ping, Chelsey Hill, Yun Zhu, Jorge Eduardo Fresneda Fernandez. 2022. “Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach.” Electronic Commerce Research, vol. 23, pp. 1459–1484.
Sumya Akter, Rumman Ahmed Prodhan, Tanmoy S. Pias, David Eisenberg, Jorge Eduardo Fresneda Fernandez. 2022. “M1M2: Deep Learning-Based Real-Time Emotion Recognition from Neural Activity.” Sensors, vol. 22, no. 8467.
SHOW MORE
Conference Proceeding
“Prevalence of Digital Inaccessibility of Retail Job Posts for Disabled Consumers”
AMA Winter Academic Conference, February 2024.
“Career website inaccessibility for disabled consumers: Challenges & Opportunities”
Society for Business Ethics Annual Meeting, August 2023.
“Public Policy Origins of Misinformation: Learning From History to Protect Privacy and Personal Freedom”
AMA Marketing and Public Policy Conference, June 2023.
“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.
AMA Winter Academic Conference, February 2024.
“Career website inaccessibility for disabled consumers: Challenges & Opportunities”
Society for Business Ethics Annual Meeting, August 2023.
“Public Policy Origins of Misinformation: Learning From History to Protect Privacy and Personal Freedom”
AMA Marketing and Public Policy Conference, June 2023.
“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.
SHOW MORE
Conference Paper
“Neuromarketing Techniques to Enhance Consumer Preference Prediction”
Proceedings of the 57th Hawaii International Conference on System Sciences, January (1st Quarter/Winter) 2024.
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.
Decision Sciences Institute Annual Conference, November 2023.
Chapter
David Gefen, Jorge Eduardo Fresneda Fernandez, Kai R. Larsen. 2021. “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. 2018. “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 DataSpringer, 2018.
Jorge Eduardo Fresneda Fernandez. 2018. “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 DataSpringer, 2018.
Jorge Eduardo Fresneda Fernandez. 2018. “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 DataSpringer, 2018.
Jorge Eduardo Fresneda Fernandez. 2018. “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 DataSpringer, 2018.