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Revisiting the Miles and Snow strategic framework: uncovering interrelationships between strategic types, capabilities, environmental uncertainty, and firm performance

Strategic management journal, 2005-01, Vol.26 (1), p.47-74

2005

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The past, present, and future of measurement and methods in marketing analysis

Marketing letters, 2020-09, Vol.31 (2/3), p.175-186

2020

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Hybrid strategic groups

Strategic management journal, 2008-03, Vol.29 (3), p.293-317

2008

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Modeling the evolution of competitive market structure via competitive group dynamics

Journal of modelling in management, 2023-03, Vol.18 (2), p.457-479

2023

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Customer value analysis in a heterogeneous market

Strategic management journal, 2001-09, Vol.22 (9), p.845-857

2001

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Extracting Summary Piles from Sorting Task Data

Journal of marketing research, 2017-06, Vol.54 (3), p.398-414

2017

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Estimating Finite Mixtures of Ordinal Graphical Models

Psychometrika, 2022-03, Vol.87 (1), p.83-106

2022

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A Smooth Transition Finite Mixture Model for Accommodating Unobserved Heterogeneity

Journal of business & economic statistics, 2020-07, Vol.38 (3), p.580-592

2020

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A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions

Management science, 2014-06, Vol.60 (6), p.1489-1510

2014

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Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity

Marketing science (Providence, R.I.), 1997-01, Vol.16 (1), p.39-59

1997

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The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology

Journal of classification, 2022-07, Vol.39 (2), p.218-239

2022

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Estimating Multiple Consumer Segment Ideal Points from Context‐Dependent Survey Data

The Journal of consumer research, 2008-06, Vol.35 (1), p.142-153

2008

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Erratum to: The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology

Journal of classification, 2022, Vol.39 (2), p.240-240

2022

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Modeling strategic group dynamics: A hidden Markov approach

Quantitative marketing and economics, 2010-06, Vol.8 (2), p.241-274

2010

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Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs

Marketing science (Providence, R.I.), 1996-01, Vol.15 (2), p.173-191

1996

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Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis

Marketing science (Providence, R.I.), 2005-04, Vol.24 (2), p.285-293

2005

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A Hierarchical Bayesian Multidimensional Scaling Methodology for Accommodating Both Structural and Preference Heterogeneity

Psychometrika, 2008-09, Vol.73 (3), p.451-472

2008

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Dynamic strategic groups: deriving spatial evolutionary paths

Strategic management journal, 2009-12, Vol.30 (13), p.1420-1439

2009

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Fuzzy Clusterwise Generalized Structured Component Analysis

Psychometrika, 2007-06, Vol.72 (2), p.181-198

2007

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Adaptive Multidimensional Scaling: Brand Positioning Based on Decision Sets and Dissimilarity Judgments

Customer needs and solutions, 2021-06, Vol.8 (1-2), p.1-15

2021

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An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research

Customer needs and solutions, 2015-03, Vol.2 (1), p.19-40

2015

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Who competes with whom? A demand-based perspective for identifying and representing asymmetric competition

Strategic management journal, 2006-02, Vol.27 (2), p.101-129

2006

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Constrained Stochastic Extended Redundancy Analysis

Psychometrika, 2015-06, Vol.80 (2), p.516-534

2015

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Model-Based Segmentation Featuring Simultaneous Segment-Level Variable Selection

Journal of marketing research, 2012-10, Vol.49 (5), p.725-736

2012

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A Gravity‐Based Multidimensional Scaling Model for Deriving Spatial Structures Underlying Consumer Preference/Choice Judgments

The Journal of consumer research, 2002-06, Vol.29 (1), p.91-100

2002

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Revisiting the Miles and Snow strategic framework: uncovering interrelationships between strategic types, capabilities, environmental uncertainty, and firm performance

The past, present, and future of measurement and methods in marketing analysis

Hybrid strategic groups

Modeling the evolution of competitive market structure via competitive group dynamics

Customer value analysis in a heterogeneous market

Extracting Summary Piles from Sorting Task Data

Estimating Finite Mixtures of Ordinal Graphical Models

A Smooth Transition Finite Mixture Model for Accommodating Unobserved Heterogeneity

A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions

Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity

The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology

Estimating Multiple Consumer Segment Ideal Points from Context‐Dependent Survey Data

Erratum to: The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology

Modeling strategic group dynamics: A hidden Markov approach

Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs

Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis

A Hierarchical Bayesian Multidimensional Scaling Methodology for Accommodating Both Structural and Preference Heterogeneity

Dynamic strategic groups: deriving spatial evolutionary paths

Fuzzy Clusterwise Generalized Structured Component Analysis

Adaptive Multidimensional Scaling: Brand Positioning Based on Decision Sets and Dissimilarity Judgments

An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research

Who competes with whom? A demand-based perspective for identifying and representing asymmetric competition

Constrained Stochastic Extended Redundancy Analysis

Model-Based Segmentation Featuring Simultaneous Segment-Level Variable Selection

A Gravity‐Based Multidimensional Scaling Model for Deriving Spatial Structures Underlying Consumer Preference/Choice Judgments

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