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There are 26162 results for: content related to: Rejoinder to ‘Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis’

  1. Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis

    Applied Stochastic Models in Business and Industry

    Volume 27, Issue 5, September/October 2011, Pages: 465–475, Ron S. Kenett and Silvia Salini

    Version of Record online : 20 SEP 2011, DOI: 10.1002/asmb.927

  2. Comment on ‘Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis’

    Applied Stochastic Models in Business and Industry

    Volume 27, Issue 5, September/October 2011, Pages: 481–483, Rainer Göb

    Version of Record online : 18 OCT 2011, DOI: 10.1002/asmb.929

  3. Discussion of ‘Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis’ by Kennett and Salini

    Applied Stochastic Models in Business and Industry

    Volume 27, Issue 5, September/October 2011, Pages: 476–480, Christopher McCollin

    Version of Record online : 18 OCT 2011, DOI: 10.1002/asmb.923

  4. Quality Standards and Control Charts Applied to Customer Surveys

    Modern Analysis of Customer Surveys: With Applications Using R

    Ron S. Kenett, Laura Deldossi, Diego Zappa, Pages: 413–438, 2011

    Published Online : 9 NOV 2011, DOI: 10.1002/9781119961154.ch20

  5. ‘The COM-Poisson model for count data: a survey of methods and applications’ by K. Sellers, S. Borle and G. Shmueli

    Applied Stochastic Models in Business and Industry

    Volume 28, Issue 2, March/April 2012, Pages: 117–121, Ron S. Kenett

    Version of Record online : 10 APR 2012, DOI: 10.1002/asmb.919

  6. Pairwise likelihood inference for multivariate ordinal responses with applications to customer satisfaction

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 2, March/April 2016, Pages: 273–282, Euloge Clovis Kenne Pagui and Antonio Canale

    Version of Record online : 10 NOV 2015, DOI: 10.1002/asmb.2147

  7. Standards and Classical Techniques in Data Analysis of Customer Satisfaction Surveys

    Modern Analysis of Customer Surveys: With Applications Using R

    Silvia Salini, Ron S. Kenett, Pages: 1–18, 2011

    Published Online : 9 NOV 2011, DOI: 10.1002/9781119961154.ch1

  8. The Pathmox approach for PLS path modeling: Discovering which constructs differentiate segments

    Applied Stochastic Models in Business and Industry

    Volume 33, Issue 6, November/December 2017, Pages: 674–689, Giuseppe Lamberti, Tomas Banet Aluja and Gaston Sanchez

    Version of Record online : 11 AUG 2017, DOI: 10.1002/asmb.2270

  9. A multiblock PLS-based algorithm applied to a causal model in marketing

    Applied Stochastic Models in Business and Industry

    Volume 29, Issue 3, May/June 2013, Pages: 241–253, David Servera-Francés, Francisco Arteaga-Moreno, Irene Gil-Saura and Martina G. Gallarza

    Version of Record online : 16 JUL 2012, DOI: 10.1002/asmb.1913

  10. Bayesian hierarchical models to analyze customer satisfaction data for quality improvement: a case study

    Applied Stochastic Models in Business and Industry

    Volume 28, Issue 6, November/December 2012, Pages: 571–584, Mauro Gasparini, Franco Pellerey and Mauro Proietti

    Version of Record online : 15 NOV 2011, DOI: 10.1002/asmb.932

  11. Compositional Data Methods in Customer Survey Analysis

    Quality and Reliability Engineering International

    Volume 32, Issue 6, October 2016, Pages: 2115–2125, Marina Vives-Mestres, Josep-Antoni Martín-Fernández and Ron S. Kenett

    Version of Record online : 16 JUN 2016, DOI: 10.1002/qre.2029

  12. Outliers and Robustness for Ordinal Data

    Modern Analysis of Customer Surveys: With Applications Using R

    Marco Riani, Francesca Torti, Sergio Zani, Pages: 155–169, 2011

    Published Online : 9 NOV 2011, DOI: 10.1002/9781119961154.ch9

  13. Customer Satisfaction, Competition, and Firm Performance: An Empirical Investigation

    Managerial and Decision Economics

    Volume 35, Issue 6, September 2014, Pages: 371–386, Daniel H. Simon and Miguel I. Gómez

    Version of Record online : 4 JUL 2013, DOI: 10.1002/mde.2629

  14. The Pathmox approach for PLS path modeling segmentation

    Applied Stochastic Models in Business and Industry

    Volume 32, Issue 4, July/August 2016, Pages: 453–468, Giuseppe Lamberti, Tomas Banet Aluja and Gaston Sanchez

    Version of Record online : 29 APR 2016, DOI: 10.1002/asmb.2168

  15. Missing Data and Imputation Methods

    Modern Analysis of Customer Surveys: With Applications Using R

    Alessandra Mattei, Fabrizia Mealli, Donald B. Rubin, Pages: 129–154, 2011

    Published Online : 9 NOV 2011, DOI: 10.1002/9781119961154.ch8

  16. Log-Linear Model Methods

    Modern Analysis of Customer Surveys: With Applications Using R

    Stephen E. Fienberg, Daniel Manrique-Vallier, Pages: 217–229, 2011

    Published Online : 9 NOV 2011, DOI: 10.1002/9781119961154.ch12

  17. Census and Sample Surveys

    Modern Analysis of Customer Surveys: With Applications Using R

    Giovanna Nicolini, Luciana Dalla Valle, Pages: 37–53, 2011

    Published Online : 9 NOV 2011, DOI: 10.1002/9781119961154.ch3

  18. Customer surveys

    Information Quality: The Potential of Data and Analytics to Generate Knowledge

    Ron S. Kenett, Galit Shmueli, Pages: 109–133, 2016

    Published Online : 18 OCT 2016, DOI: 10.1002/9781118890622.ch7

  19. Employee attitudes, customer satisfaction, and sales performance: assessing the linkages in US grocery stores

    Managerial and Decision Economics

    Volume 30, Issue 1, January 2009, Pages: 27–41, Daniel H. Simon, Miguel I. Gómez, Edward W. McLaughlin and Dick R. Wittink

    Version of Record online : 23 OCT 2008, DOI: 10.1002/mde.1433

  20. Applying software process modeling to improve customer support processes

    Journal of Software: Evolution and Process

    Volume 27, Issue 4, April 2015, Pages: 274–293, Anu Raninen, Helena Merikoski, Jarmo J. Ahonen and Sarah Beecham

    Version of Record online : 14 APR 2015, DOI: 10.1002/smr.1713