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Swinnen, Gilbert Autor

The changing consumer in Belgium

  • Gijsbrechts E.
  • Swinnen G.
  • van Waterschoot W.

International Journal of Research in Marketing - 1/1/1995

10.1016/0167-8116(95)00030-5

Número de citas: 4 (Scopus)
  • CiteScore: 8,8 (2020)

Comparison of some AI and statistical classification methods for a marketing case

  • Montgomery D.
  • Swinnen G.
  • Vanhoof K.

European Journal of Operational Research - 1/12/1997

10.1016/s0377-2217(97)00122-7

Número de citas: 6 (Scopus)
  • CiteScore: 9,5 (2020)

Improvement of response modeling: Combining rule-induction and case-based reasoning

  • Coenen F.
  • Swinnen G.
  • Vanhoof K.
  • Wets G.

Expert Systems with Applications - 1/1/2000

10.1016/s0957-4174(00)00012-9

Número de citas: 21 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 12,7 (2020)
  • SJR: 0,443 (2000)
  • SNIP: 0,72 (2000)
  • Categorías SJR: Engineering (miscellaneous) (Q1); Artificial Intelligence (Q2); Computer Science Applications (Q2)

Identifying latently dissatisfied customers and measures for dissatisfaction management

  • Bloemer J.
  • Brijs T.
  • Swinnen G.
  • Vanhoof K.

International Journal of Bank Marketing - 1/2/2002

10.1108/02652320210415962

Número de citas: 21 (Scopus)
  • Cuartil SJR: Q2
  • CiteScore: 6,2 (2020)
  • SJR: 0,298 (2002)
  • SNIP: 0,614 (2002)
  • Categorías SJR: Marketing (Q2)

Comparing complete and partial classification for identifying customers at risk

  • Bloemer J.
  • Brijs T.
  • Vanhoof K.
  • Swinnen G.

International Journal of Research in Marketing - 1/6/2003

10.1016/s0167-8116(03)00014-4

Número de citas: 25 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 8,8 (2020)
  • SJR: 1,528 (2003)
  • SNIP: 0,97 (2003)
  • Categorías SJR: Marketing (Q1)

Building an association rules framework to improve product assortment decisions

  • Brijs T.
  • Swinnen G.
  • Vanhoof K.
  • Wets G.

Data Mining and Knowledge Discovery - 1/1/2004

10.1023/b:dami.0000005256.79013.69

Número de citas: 49 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 8,3 (2020)
  • SJR: 1,17 (2004)
  • SNIP: 4,814 (2004)
  • Categorías SJR: Computer Networks and Communications (Q1); Computer Science Applications (Q1); Information Systems (Q1)

A multivariate Poisson mixture model for marketing applications

  • Brijs T.
  • Karlis D.
  • Swinnen G.
  • Vanhoof K.
  • Wets G.
  • Manchanda P.

Statistica Neerlandica - 1/8/2004

10.1111/j.1467-9574.2004.00125.x

Número de citas: 25 (Scopus)
  • Cuartil SJR: Q4
  • CiteScore: 1,5 (2020)
  • SJR: 0,383 (2004)
  • SNIP: 0,379 (2004)
  • Categorías SJR: Statistics and Probability (Q4); Statistics, Probability and Uncertainty (Q4)

Measurement equivalence in the conduct of a global organizational survey across countries in six cultural regions

  • De Beuckelaer A.
  • Lievens F.
  • Swinnen G.

Journal of Occupational and Organizational Psychology - 1/12/2007

10.1348/096317907x173421

Número de citas: 26 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 5,1 (2020)
  • SJR: 1,467 (2007)
  • SNIP: 1,477 (2007)
  • Categorías SJR: Applied Psychology (Q1); Organizational Behavior and Human Resource Management (Q1)

Gender influences on purchasing negotiation objectives, outcomes and communication patterns

  • Faes W.
  • Swinnen G.
  • Snellinx R.

Journal of Purchasing and Supply Management - 1/6/2010

10.1016/j.pursup.2010.03.008

Número de citas: 7 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 7,7 (2020)
  • SJR: 0,922 (2010)
  • SNIP: 1,035 (2010)
  • Categorías SJR: Marketing (Q1); Strategy and Management (Q1)

Fashion store personality: Scale development and relation to self-congruity theory

  • Willems K.
  • Swinnen G.
  • Janssens W.
  • Brengman M.

Journal of Global Fashion Marketing - 1/1/2011

10.1080/20932685.2011.10593083

Número de citas: 22 (Scopus)
  • Cuartil SJR: Q4
  • CiteScore: 2,7 (2020)
  • SJR: 0,101 (2011)
  • SNIP: 0,534 (2011)
  • Categorías SJR: Cultural Studies (Q4); Management of Technology and Innovation (Q4); Marketing (Q4); Strategy and Management (Q4)

Perfil de audiencia de un programa de televisión: análisis a través de modelos regresión Tobit

  • Gilbert Swinnen
  • Juan Carlos Gázquez Abad
  • David Jiménez Castillo
  • Elvira Sáez González
  • Gema María Marín Carrillo

XIX Encuentro de profesores universitarios de marketing [Recurso electrónico]: Vigo, 19, 20 y 21 de septiembre de 2007 - 2007

Número de citas:
  • Dialnet

Biased latent variable mean comparisons due to measurement noninvariance: A simulation study

  • De Beuckelaer A.
  • Swinnen G.

Cross-Cultural Analysis: Methods and Applications - 1/1/2012

10.4324/9780203882924

Número de citas: 33 (Scopus)

A model of customer lifetime value and ex poste value-based segmentation. An application in a financial services retailer based on probabilistic and data mining models.(modelización del valor del tiempo de vida del cliente y segmentación ex poste basada en el valor. Aplicación en un minorista que ofrece servicios financieros utilizando modelos probabilísticos y de minería de datos

  • Antonia Estrella Ramón
  • Manuel Sánchez Pérez
  • Koen Vanhoof
  • Gilbert Swinnen

2014

Número de citas:
  • Dialnet

Biased latent variable mean comparisons due to measurement noninvariance: A simulation study

  • de Beuckelaer A.
  • Swinnen G.

Cross-Cultural Analysis: Methods and Applications, 2nd Edition - 1/1/2018

10.4324/9781315537078

Número de citas: 6 (Scopus)
Open Access

The improvement of response modeling: Combining rule-induction and case-based reasoning

  • Coenen F.
  • Swinnen G.
  • Vanhoof K.
  • Wets G.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/1999

10.1007/978-3-540-48247-5_34

Número de citas: 1 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,299 (1999)
  • SNIP: 0,717 (1999)
Open Access

Comparing complete and partial classification for identifying latently dissatisfied customers

  • Brijs T.
  • Swinnen G.
  • Vanhoof K.
  • Wets G.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2000

10.1007/3-540-45164-1_10

Número de citas: 2 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,309 (2000)
  • SNIP: 0,732 (2000)

A data mining framework for optimal product selection in retail supermarket data: The generalized PROFSET model

  • Brijs T.
  • Goethals B.
  • Swinnen G.
  • Vanhoof K.
  • Wets G.

Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - 1/12/2000

Número de citas: 51 (Scopus)
  • Categorías SJR: Engineering (miscellaneous)

Este autor no tiene patentes.

Este autor no tiene informes ni otros tipos de publicaciones.

Scopus: 15

Web of Science: 3

Scopus: 19

Web of Science: 2

Última actualización de los datos: 20/04/24 9:44
Próxima recolección programada: 27/04/24 3:00