Author Archives: anaisandreosso

Minh Phan

Minh PHAN is a PhD candidate at IÉSEG School of Management (LEM-CNRS) of the Catholic University of Lille, France. His thesis topic is about Learning Analytics. Minh is working on the educational data of IÉSEG and other online learning platform providers in order to help improving the learning and teaching experience.

Minh has two years of experience in Financial and Consulting industry in Vietnam (KPMG, Vietta) and one year in startup (Ket). He obtained the Master of Science degree in IÉSEG in Big Data Analytics. Currently, he also involves in teaching four courses in the Big Data and E-commerce master program in IÉSEG.

Minh is young and passionate in data science, machine learning, teaching activities and learning analytics topic.

Arno De Caigny, Ph.D.

Dr. De Caigny’s research focusses on customer scoring, customer retention, machine learning, big data applications, analytical CRM and predictive modeling. He is publishing in international peer-reviewed journals such as European Journal of Operational Research, Decision Support Systems and International Journal of Forecasting. Moreover, his works have been presented on various conferences around the world. He works in close collaboration with industry by applying his research on real-world business challenges. He has several years of experience in analytical consulting in the financial services and auditing industries.

Dr. De Caigny teaches several marketing related courses to undergraduates and graduates. In his courses, students are taught the theoretical principles of all aspects of market research, business analytics skills and methodological foundations of predictive modeling.

EIRASS Conference

Demoulin N., Willem K., (2016), Irritating factors in the retail environments: the moderating effects of customers involvement and shopping motives

The 6th CSEAR North America Conference

Antioco M., Bouten L., Coussement K., Hoozee S., (2016), Impression Management in CSR-related Press Releases: an Empirical Investigation based upon Textual Characteristics

EMAC

Tessitore T., Geuens M., Adams L., (2016), COULD YOU OR SHOULD YOU REACT AGAINST PRODUCT PLACEMENT?” THE EFFECTIVENESS OF INFORMATIONAL VERSUS EVALUATIVE TEXTUAL FOREWARNINGS OF PRODUCT PLACEMENT