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Marktsegmentierung
Theorie
38
Theory
38
Market research
23
Marktforschung
23
Cluster analysis
17
Consumer behaviour
15
Konsumentenverhalten
15
Market segmentation
15
consumer psychology
15
Clusteranalyse
14
Bayesian inference
12
Bayes-Statistik
11
Multivariate Analyse
11
Multivariate analysis
11
Estimation theory
9
Marketing
9
Schätztheorie
9
Competitive strategy
8
Wettbewerbsstrategie
8
Marketing management
7
Marketingmanagement
7
Sports marketing
7
multidimensional scaling
7
Brand management
6
Competitive advantage
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Markenführung
6
Mathematical programming
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Sportmarketing
6
USA
6
United States
6
Wettbewerbsvorteil
6
heterogeneity
6
maximum likelihood estimation
6
Competition
5
Estimation
5
Führungsstil
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Leadership style
5
Professional sports
5
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English
14
Author
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DeSarbo, Wayne
14
Fong, Duncan K. H.
7
Kim, Sunghoon
4
Blanchard, Simon J.
2
Ebbes, Peter
2
Ramaswamy, Venkatram
2
Snow, Charles C.
2
Wedel, Michel
2
Bijmolt, Tammo H. A.
1
Bijmolt, Tammo H.A.
1
DeSarbo, Christian F.
1
Grewal, Rajdeep
1
Helsen, Kristiaan
1
Jedidi, Kamel
1
Scott, Crystal J.
1
Zhang, Yifan
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Center for Economic Research <Tilburg>
1
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Journal of marketing research : JMR
3
Report / Marketing Science Institute
2
Report / Marketing Science Institute / Marketing Science Institute
2
Conjoint measurement : methods and applications
1
Discussion paper / Center for Economic Research, Tilburg University
1
International journal of research in marketing : IJRM ; official journal of the European Marketing Academy
1
International marketing ; Vol. 2
1
Journal of modelling in management
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ECONIS (ZBW)
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CRISP: Customer Response-Based Iterative Segmentation Procedures for response modeling in direct marketing
DeSarbo, Wayne
;
Ramaswamy, Venkatram
-
1994
Persistent link: https://www.econbiz.de/10000886776
Saved in:
2
A generalized normative segmentation methodology employing conjoint analysis
DeSarbo, Wayne
;
DeSarbo, Christian F.
- In:
Conjoint measurement : methods and applications
,
(pp. 447-478)
.
2001
Persistent link: https://www.econbiz.de/10001690283
Saved in:
3
Adaptive Multidimensional Scaling : the spatial representation of brand consideration and dissimilarity judgments
Bijmolt, Tammo H. A.
(
contributor
); …
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001701541
Saved in:
4
Deriving joint space maps of bundle compositions and market segments : an application to new product options
DeSarbo, Wayne
(
contributor
)
-
1996
Persistent link: https://www.econbiz.de/10000957426
Saved in:
5
Revisiting customer value analysis in a heterogeneous market
DeSarbo, Wayne
;
Ebbes, Peter
;
Fong, Duncan K. H.
;
Snow, …
- In:
Journal of modelling in management
5
(
2010
)
1
,
pp. 8-24
Persistent link: https://www.econbiz.de/10003968473
Saved in:
6
Implementing managerial constraints in model-based segmentation : extensions of Kim, Fong, and DeSarbo (2012) with an application to heterogeneous perceptions of service quality
Kim, Sunghoon
;
Blanchard, Simon J.
;
DeSarbo, Wayne
; …
- In:
Journal of marketing research : JMR
50
(
2013
)
5
,
pp. 664-673
Persistent link: https://www.econbiz.de/10010195930
Saved in:
7
Model-based segmentation featuring simultaneous segment-level variable selection
Kim, Sunghoon
;
Fong, Duncan K. H.
;
DeSarbo, Wayne
- In:
Journal of marketing research : JMR
49
(
2012
)
5
,
pp. 725-736
Persistent link: https://www.econbiz.de/10009659276
Saved in:
8
A clusterwise bilinear multidimensional scaling methodology for simultaneous segmentation and positioning analyses
DeSarbo, Wayne
;
Grewal, Rajdeep
;
Scott, Crystal J.
- In:
Journal of marketing research : JMR
45
(
2008
)
3
,
pp. 280-292
Persistent link: https://www.econbiz.de/10003724262
Saved in:
9
A new approach to country segmentation utilizing multinational diffusion patterns
Helsen, Kristiaan
;
Jedidi, Kamel
;
DeSarbo, Wayne
-
2008
Persistent link: https://www.econbiz.de/10003655856
Saved in:
10
Deriving Joint Space Maps of Bundle Compositions and Market Segments : An Application to New Product Options
DeSarbo, Wayne
-
2016
Persistent link: https://www.econbiz.de/10012989667
Saved in:
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