2014 - INFORMS Society for Marketing Science Long Term Impact Award (LTI Award)
His Marketing investigation overlaps with other disciplines such as Advertising and Customer satisfaction. Dick R. Wittink performs multidisciplinary study on Advertising and Marketing in his works. He brings together Econometrics and Statistics to produce work in his papers. He regularly ties together related areas like Preference in his Statistics studies. The study of Preference is intertwined with the study of Conjoint analysis in a number of ways. He merges many fields, such as Conjoint analysis and Econometrics, in his writings.
Combinatorics is intertwined with Homogeneous and Rank (graph theory) in his research. His research links Combinatorics with Homogeneous. Dick R. Wittink applies the principles of Order (exchange) and Market share in his work under Finance. His Order (exchange) study frequently draws connections between adjacent fields such as Finance. Nursing is integrated with Medical prescription and Physical therapy in his study. He conducts interdisciplinary study in the fields of Physical therapy and Nursing through his research. Dick R. Wittink undertakes interdisciplinary study in the fields of Statistics and Homogeneity (statistics) through his works. Dick R. Wittink performs multidisciplinary studies into Econometrics and Conjoint analysis in his work. In his works, he conducts interdisciplinary research on Conjoint analysis and Econometrics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A model of consumer perceptions and store loyalty intentions for a supermarket retailer
Niren Sirohi;Edward W. McLaughlin;Dick R. Wittink.
Commercial Use of Conjoint Analysis: A Survey:
Philippe Cattin;Dick R. Wittink.
Commercial Use of Conjoint Analysis: An Update:
Dick R. Wittink;Philippe Cattin.
Journal of Marketing (1989)
Commercial use of conjoint analysis in Europe: Results and critical reflections
Dick R. Wittink;Marco Vriens;Wim Burhenne.
Customer satisfaction and retail sales performance: an empirical investigation
Miguel I. Gómez;Edward W. McLaughlin;Dick R. Wittink.
Building Models for Marketing Decisions
Peter S.H. Leeflang;Dick R. Wittink.
The Effectiveness of Alternative Preference Elicitation Procedures in Predicting Choice
Joel Huber;Dick R. Wittink;John A. Fiedler;Richard Miller.
The estimation of pre- and postpromotion dips with store-level scanner data
Harald J. van Heerde;Peter S.H. Leeflang;Dick R. Wittink.
Is 75% of the sales promotion bump due to brand switching? No, only 33% is
Harald J. van Heerde;Sachin Gupta;Dick R. Wittink.
Decomposing the Sales Promotion Bump with Store Data
Harald J. van Heerde;Peter S. H. Leeflang;Dick R. Wittink.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: