• INTRODUCING EDEN
• EDEN IN MARKETING
• PROGRAMME COORDINATORS
• FACULTY
• PROGRAMME OBJECTIVE
• PROGRAMME
• PRACTICALITIES

For full information on the EDEN concept and benefits, please click here.

The programme in Marketing will include seminars on :

• Research Methods in Marketing and Management
• Consumer Research
• Building Models for Marketing Decisions
• Strategic Marketing Research
• Interpretive Research Methods
• Advanced Model Building in Marketing
• Meta-Analysis for Management Research
• Research Traditions in International Sales Management

Professor Peter LEEFLANG, University of Groningen
Professor Marnik Dekimpe, Tilburg University and University of Leuven

Prof. Marnik G. Dekimpe (Ph.D., University of California, Los Angeles) is Research Professor of Marketing at Tilburg University (The Netherlands) and Professor of Marketing at the Catholic University Leuven (Belgium). His work has been published in Marketing Science, Management Science, the Journal of Marketing Research, the Journal of Marketing, the International Journal of Research in Marketing and the Journal of Econometrics, among others. He has won best-paper awards at Marketing Science (1995, 2001), the Journal of Marketing Research (1999), the International Journal of Research in Marketing (1997, 2001, 2002), and Technological Forecasting and Social Change (2000). He is an academic trustee with the Marketing Science Institute and with AiMark. 

As of October 2009, he is the new editor of the International Journal of Research in Marketing, the leading European marketing journal. He also serves on the editorial boards of the Journal of Marketing Research, Marketing Science, the Journal of Marketing, the Journal of the Academy of Marketing Science, the Review of Marketing Science, the Journal of Interactive Marketing, and Marketing Letters.

His current research interests deal with recession marketing, the impact of product-harm crises, the drivers of private-label success, the internationalization of retail firms, and the measurement of long-run marketing effects. Working with GfK and AiMark, he advises several key players in the CPG industry, especially on private-label and marketing-mix effectiveness issues.

He also partners commercially with, as well as serves on the board of academic advisors for, MarketShare Partners (MSP), a strategic decision sciences firm serving nearly half the Fortune 50 companies, with offices in Los Angeles, New York, and London. He has helped MarketShare Partners develop next generation resource allocation, marketing effectiveness solutions and software for companies like Mercedes-Benz, Microsoft, General Electric, Disney and Electronic Arts.

 Prof. P.S.H. Leeflang (1946) studied econometrics in Rotterdam, obtaining both his MA, in 1970, and his PhD, in 1974, at the Netherlands School of Economics. During 1970 - 1975 he was assistant Professor at the Interfaculty for Graduate Studies in Management at Rotterdam/Delft. He has been appointed in 1975 as Professor of Marketing at the Department of Economics, University of Groningen. He has authored or co-authored 15 books including “Mathematical Models in Marketing” (Stenfert Kroese, Leiden, 1974) with Philippe A. Naert, “Building Implementable Marketing Models” (Martinus Nijhoff, The Hague/Boston, 1978) and with Dick Wittink, Michel Wedel, and Philippe Naert “Building Models for Marketing Decisions (2000). Other examples of his published work can be found, inter alia, in Applied Economics, The Journal of Marketing, The Journal of Marketing Research, The International Journal of Research in Marketing, Management Science, The Journal of Economic Psychology, The International Journal of Forecasting. In 1978 - 1979 he was President of the European Marketing Academy and from 1981 - 1990 Vice-President of this Academy and in charge of the organization of the annual meeting of the Academy. In 1990 and 2003 he was Guest Professor of Marketing at the University of California at Los Angeles (Anderson Graduate School of Management) where he taught marketing, planning and strategy. He also taught PhD-courses in Alicante, Helsinki, Vienna and Innsbruck. From 1997 to 2001 he was the Dean of the Department of Economics and vice-Vice Chancellor of the University of Groningen. As a Professor of Marketing he is also affiliated to the European Institute of Advanced Studies in Management (EIASM) in Brussels (Belgium). In 1999 he became a member of the Royal Netherlands Academy of Arts and Sciences.

Dr. J.E. Wieringa is associate professor at the department of Marketing at the Faculty of Economics and Business at the University of Groningen. He has a MSc. in Econometrics (1994), and a PhD in Economics (1999) from the University of Groningen. The title of his PhD dissertation was “Statistical Process Control for Serially Correlated Data”. During the years 1998-2000 he was employed as a senior consultant at the Institute for Business and Industrial Statistics (IBIS UvA BV), a consultancy firm embedded within the University of Amsterdam. For this company, he was involved in the implementation and training of quantitative quality improvement programs (mainly Statistical Process Control and Six Sigma) at, amongst others, DAF Trucks (a Paccar company), General Electric, Sarah Lee|DE, Hollandse Signaal Apparaten, Nemef (a Black&Decker company) and Ramaer Connection Technology. On January 1st , 2001, he joined the department of Marketing at the University of Groningen. He has supervised two PhD theses as a co-promotor and is currently supervising three PhD students. His work in the field of industrial statistics has been published in, amongst others, the Journal of Chemometrics and Quality and Reliability Engineering International. He is co-author of a Dutch book on the Six Sigma quality program. His publications in marketing include articles in International Journal of Research in Marketing, Marketing Letters, Journal of Service Research and International Journal of Forecasting. The main focus of his current research is on Pharmaceutical marketing, Marketing Model Building, Time series analysis, Diffusion modelling and Statistical Quality Control.
 

The seminar is intended for Ph.D. students and young scholars interested in the implementation of rigorous methods and techniques in marketing.

Students and scholars participating at the seminar

• will be introduced to the model building process and be exposed to its most important steps, including
specification, estimation, hypothesis testing and validation;
• will be trained in designing and testing descriptive, predictive and normative models;
• will be presented real case illustrations of the Marketing Science approach, all borrowed from the faculty’s most recent field experience;
• will be exposed to time series analysis.

Will be posted soon

TIME AND LOCATION
The seminar will be held at the EIASM, BRUSSELS.
The programme will start on August 23, 2010 and is scheduled to end August 27, 2010

PARTICIPATION FEE
The participation fee is 1500 €. This fee includes participation to the seminar, the documents, lodging and full board.
Doctoral students will be assigned rooms for two.

Should you wish a single room, an extra fee of 25 € per night will be charged to you.

Cancellations made before August 1, 2010 will be reimbursed with 10% deduction of the total fee. No reimbursement will be possible after this date.

EIASM SCHOLARSHIPS
The Institute grants a limited number of scholarships of 700 € each. Scholarships are strictly limited to students coming from an EIASM Institutional Member (the Academic Council). One scholarship is granted per EIASM institutional Member. Allocation of the scholarships is entirely at the discretion of the European Institute.

APPLICATIONS
Interested doctoral students should register online (and add the required documents) no later than July 2, 2010. Besides doctoral students, other researchers may participate. The number of participants will be limited to create a stimulating environment. The selection among the applicants will be conducted by the Institute’s Faculty. They will review the following documents which should necessarily complement each application form:

• the applicant’s curriculum vitae demonstrating his/her capabilities of doing research ;
• a letter of recommendation of his/her local faculty supporting the application ;
• a two-page description of his/her doctoral research, indicating the general objectives.