UCLA - Anderson

IS Research Program

Current Projects –

1. Foundations Studiesa. This project examines the foundations of information systems in theory and practice. A

recent study suggests that "interaction" is a central foundational concept for theorizing a firm's need for information systems

2. Assimilation Studiesa. When firms innovate with new IT, they must ultimately assimilate the IT in their work

practices, such that they gain new capabilities and value from it.

NYU - Stern

Information Systems Doctoral Students

ESSEC – France

http://isds-department.essec.edu/research/themes

E-business and m-business 

Student Advisor(s) Research interests

Panagiotis Adamopoulos

Alex Tuzhilin Recommender systems and machine learning

Jessica Clark Foster Provost

Machine learning, media analytics, dimensionality reduction, TV advertising

Robert Moakler Foster Provost

Causal modeling, online advertising, social networks

Vilma Todri Anindya Ghose

Digital Marketing, Channel Attribution, Social Commerce, Causal Inference, Structural Models, Big Data

Xuan Ye Sonny TambeAnindya Ghose

Economics of IT, Business value of IT, and Digital markets

This domain of research focuses on the business issues raised by the growth in the use of the World

Wide Web and the penetration of mobile phones in today's organizations. Faculty interests currently focus

on issues in the travel e-distribution and e-marketing fields, and on the area of mobile payments. 

Professors:  Peter O’Connor, Jan Ondrus. 

Econometric theory 

Econometrics is concerned with the tasks of developing and applying quantitative or statistical methods to

the study and elucidation of economic principles. It combines economic or financial theory with probability,

statistics and computer sciences to analyze and test relationships. Theoretical econometrics considers

questions about the statistical properties of estimators and tests, while applied econometrics is concerned

with the application of econometric methods to assess or evaluate theories.

Econometric applications are wide-ranging in social and management sciences, generally when the data

are observational rather than obtained via a controlled experiment.

Professors:  Guillaume Chevillon, Jean-Pierre Indjehagopian. 

Combinatorial optimization

Operations Research researchers in the Department mainly focus on modeling and solving hard

combinatorial optimization problems with multiple binary decisions to be made (select or not?). The goal

is to model these problems, analyze their complexity, and find exact methods (based on mathematical

programming) or approximation methods (fast heuristics with worst-case performance guarantee). For

solving the both empirical and theoretical validation of these methods is provided. The design and

analysis of approximation methods is a core topic investigated by the research team.

Professors:  Laurent Alfandari, Marc Demange.

HEC Paris

Shirish C. SRIVASTAVAAssociate Professor

Operations Management & Information Technology

 

RESEARCH AREAS IT enabled OffshoringNew technologies and information systems strategyIT in public sector (e-government)IT enabled innovation in developing cou

McCombs – UT Austin

Assistant Professor Naveed Chehrazi, along with Thomas Weber from École Polytechnique Fédérale de

Lausanne in Switzerland,  developed "a way to accurately predict which delinquent credit card accounts

will repay an outstanding balance. This could help decision-makers choose among methods of recovering

past dues and chargeoffs