Willingness-to-pay experimental model for Stackelberg dual channel pricing decision
International Journal of Retail & Distribution Management
ISSN: 0959-0552
Article publication date: 27 September 2022
Issue publication date: 2 January 2023
Abstract
Purpose
This study proposes and demonstrates a novel approach to analyzing customer channel preferences and willingness-to-pay (WTP) in the dual sales channel (DSC) system involving direct online channels and conventional offline retailers, and to how the pricing decisions are made under specific game competition.
Design/methodology/approach
Questionnaire survey based on central composite experiment design was utilized to obtain primary data. The model for customer channel preferences and WTP was then built by using multinomial logistic regression. The propensity of a customer to make purchases in either channel estimated by using the logit model was inserted in the bilevel programming model to formulate and solve for the Stackelberg competition where the conventional retailer acted as a leader.
Findings
The study found that channel prices have nonlinear impacts on WTP and channel preference. The empirical results complement the mathematical formulation well where high-order own-price and cross-price effects on channel selection are generally not analytical tractable. Under the Stackelberg competition, the traditional retailer (as the leader) still achieves higher profits than the online facility.
Practical implications
The proposed framework provides an empirical approach that can easily address the competition model in the sales channel when complicated own-price or cross-price effects are present.
Originality/value
The present work provides a novel approach to analyze customer preference and WTP of the DSC systems. This alternative method simplifies the procedure for investigating and estimating price sensitivity, especially when the online and offline prices affect customer WTP and channel preferences nonlinearly. This model is also utilized in the game competition to facilitate data-driven price decision making to better formulate and understand real-world DSC problems.
Keywords
Acknowledgements
This study was partially supported by the Ministry of Science and Technology of Taiwan under the grant number MOST 109-2410-H-011-014 and MOST 110-2621-M-011-001. Any opinions, findings, and conclusions or recommendations expressed herein are those of the authors and do not necessarily reflect the views of the sponsors.
Citation
Lin, S.-W. and Januardi, J. (2023), "Willingness-to-pay experimental model for Stackelberg dual channel pricing decision", International Journal of Retail & Distribution Management, Vol. 51 No. 1, pp. 103-123. https://doi.org/10.1108/IJRDM-10-2021-0495
Publisher
:Emerald Publishing Limited
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