Volume 92, Issue 4

Search all Journal of Business Economics articles

May 2022

Special Issue: Advanced data analysis techniques with marketing applications

Issue Editors:

Friederike Paetz,
Winfried J. Steiner,
Harald Hruschka

7 articles in this issue

“Advanced data analysis techniques with marketing applications”
Friederike Paetz
Winfried J. Steiner
Harald Hruschka
Editorial Open access 30 May 2022 Pages: 557 - 561
Part of 1 collection:

Special Issue: Advanced data analysis techniques with marketing applications
Correction to: Advanced data analysis techniques with marketing applications
Friederike Paetz
Winfried J. Steiner
Harald Hruschka
Correction Open access 30 June 2022 Pages: 563 - 564
Part of 1 collection:

Special Issue: Advanced data analysis techniques with marketing applications
The carrot and the stick in online reviews: determinants of un-/helpfulness voting choices
Filipe Sengo Furtado
Thomas Reutterer
Nadine Schröder
Original Paper Open access 10 May 2021 Pages: 565 - 590
Part of 1 collection:

Special Issue: Advanced data analysis techniques with marketing applications
A semiparametric approach to estimating reference price effects in sales response models
Philipp Aschersleben
Winfried J. Steiner
Original Paper Open access 09 April 2022 Pages: 591 - 643
Part of 1 collection:

Special Issue: Advanced data analysis techniques with marketing applications
Profit uplift modeling for direct marketing campaigns: approaches and applications for online shops
Daniel Baier
Björn Stöcker
Original Paper Open access 19 November 2021 Pages: 645 - 673
Part of 1 collection:

Special Issue: Advanced data analysis techniques with marketing applications
Beyond the beaten paths of forecasting call center arrivals: on the use of dynamic harmonic regression with predictor variables
Theresa Maria Rausch
Tobias Albrecht
Daniel Baier
Original Paper Open access 17 December 2021 Pages: 675 - 706
Part of 1 collection:

Special Issue: Advanced data analysis techniques with marketing applications
Worth the effort? Comparison of different MCMC algorithms for estimating the Pareto/NBD model
Lydia Simon
Jost Adler
Original Paper Open access 29 August 2021 Pages: 707 - 733
Part of 1 collection:

Special Issue: Advanced data analysis techniques with marketing applications

Volume 92, Issue 4

“Advanced data analysis techniques with marketing applications”

Correction to: Advanced data analysis techniques with marketing applications

The carrot and the stick in online reviews: determinants of un-/helpfulness voting choices

A semiparametric approach to estimating reference price effects in sales response models

Profit uplift modeling for direct marketing campaigns: approaches and applications for online shops

Beyond the beaten paths of forecasting call center arrivals: on the use of dynamic harmonic regression with predictor variables

Worth the effort? Comparison of different MCMC algorithms for estimating the Pareto/NBD model

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