Aug 2026· 2026 12th International Conference on Big Data and Information Analytics (BigDIA)· pp. 1484-1491· 0 citations· 21 references
Abstract
Purely online channels are limited in conveying non-digital product attributes, such as fit, material, and usage experience, which creates product-fit uncertainty and utility loss for consumers. Physical showrooms can reduce such uncertainty, but consumers must incur hassle costs from travel, time, and store visits. This paper develops an asymmetric duopoly model with an incumbent online retailer and a market entrant, and compares four showroom deployment scenarios: NN, SN, NS, and SS. For each scenario, we derive equilibrium prices, demands, and profits, and characterize the showroom deployment equilibrium.The results show that showroom deployment is valuable only when the utility loss from online purchase exceeds the hassle cost of offline experience. In this case, showrooms can reshape demand allocation and competitive intensity. The incumbent may use showrooms to reinforce its first-mover advantage, while the entrant may use them for differentiated entry when platform recognition is sufficiently high. Moreover, mutual showroom deployment may arise as an equilibrium even when it lowers total industry profit, leading to a Prisoner’s Dilemma. These findings provide analytical insights for omnichannel deployment and pricing decisions by online retailers.
This work develops a Stackelberg game in which the platform chooses the display policy, and sellers subsequently set prices in response to the competitors they face within their assigned partition, and develops an algorithm that effectively solves seller partitions, traffic allocation, and equilibrium prices.
Hongyu Chen, Hanwei Li, D. Simchi-Levi et al.· Production and operations ma...· 1 citation
With the rapid growth of e-commerce and big data technologies, firms increasingly leverage consumers' historical purchasing behavior to implement price discrimination, commonly referred to as behavior-based pricing (BBP). This study examines whether BBP benefits online platforms and offline chain stores and identif...
Hua-Qing Hu, Shu-Xiao Sun, Xuan Wu et al.· Asia Pacific Journal of Mark...· 0 citations
Restaurants are increasingly providing both dine-in and delivery services through online delivery platforms, yet how this prevalent strategy is affected by heterogeneous network externalities under competition remains understudied. This paper examines when a restaurant should introduce meal delivery service in this con...
This study examines when an omnichannel retailer should adopt buy online and pick-up in store (BOPS) as a return channel and how consumers’ anticipated online and offline regret affect pricing, channel demand, profit, consumer surplus and social welfare.
A game-theoretic model is developed for identical prod...
Qiong-Qiong Gu, Rong Zhang, Bin Liu· Asia Pacific Journal of Mark...· 0 citations
Problem definition: Online platforms have access to massive data about consumer preferences while upstream suppliers typically do not. This study explores how an online platform should strategically share its privately-owned consumer preference information with suppliers to help them determine optimal prices under the...
Yong Zha, Quan Li, Tingliang Huang et al.· Manufacturing & Service...· 0 citations
The booming live-streaming retail has transformed consumer buying behavior and commercial business models. However, existing research pays limited attention to live-streaming unique attributes and rarely explores how information externalities and purchase costs affect dual-channel equilibrium. This study aims to in...
Ti-Ching Peng, Dong-Wei Li, Mei-Rong Tan· Asia Pacific Journal of Mark...· 0 citations
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