Dynamic pricing, reference price, and price-quality relationship

Anton, Ramona; Chenavaz, Régis; Paraschiv, Corina

doi:10.1016/j.jedc.2022.104586

Cited by 11 publications

(5 citation statements)

References 83 publications

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“…Harga yang lebih rendah dapat mendorong konsumen untuk memilih produk tertentu dibandingkan dengan produk serupa dengan harga lebih tinggi. Sebaliknya, harga yang lebih tinggi seringkali menciptakan harapan akan kualitas yang lebih tinggi, mendorong konsumen untuk memilih produk dengan harga lebih tinggi (Anton et al, 2023). Graciola et al, (2018) membagi konsep harga menjadi dua dimensi: tingkat harga, yang mengacu pada jumlah uang yang dibayarkan untuk suatu produk atau layanan, dan keadilan harga, yang mengukur seberapa "wajar" harga yang ditawarkan terhadap persepsi konsumen.…”

Section: Pendahuluanunclassified

Unveiling Consumer Choices: Navigating Tupperware's Market in Cimahi City - The Dynamic Interplay of Perceived Value, Price, and Brand Image on Repurchase Intentions, Mediated by Customer Satisfaction in the Era of Evolving Trends

Zain,

Putra

2024

jmas

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This research aims to analyze the impact of perceived value, price and brand image on repurchase intention, mediated by customer satisfaction in the Tupperware product market in Cimahi City amidst developing consumer trends. Using a quantitative approach, data was collected through surveys from Tupperware consumers in Cimahi City. The results of statistical analysis show that there is a significant relationship between perceived value, price and brand image and repurchase intention. Customer satisfaction has also been proven to mediate the relationship between independent variables and repurchase intention. These findings provide in-depth insight into the factors that influence consumer purchasing decisions in the context of Tupperware products. Managerial implications and future research directions are also discussed. This study is expected to help companies optimize marketing strategies and increase customer loyalty in the face of continuously developing market dynamics.

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Section: Pendahuluanunclassified

Unveiling Consumer Choices: Navigating Tupperware's Market in Cimahi City - The Dynamic Interplay of Perceived Value, Price, and Brand Image on Repurchase Intentions, Mediated by Customer Satisfaction in the Era of Evolving Trends

Zain,

Putra

2024

jmas

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“…The quality level of the product indirectly affects demand by directly influencing brand goodwill. The reference price, denoted as R p (t) = ξ G(t), is formed based on the product goodwill, and affects market demand [24]. To emphasize the research focus of this paper, which is to develop operational strategies for green supply chain members, and based on relevant literature [25], the market demand function is constructed as follows:…”

Section: Problem Description and Model Assumptionsmentioning

confidence: 99%

Operation Strategies of Green Supply Chain Members with Short-Sighted and Far-Sighted Behavior: A Differential Game Theory Approach

Guo¹,

Zhuang²,

Liu³

et al. 2023

JGELCD

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“…Shugan et al [31] found that the model of limited sales would prompt consumers to purchase at a higher presale price to enable businesses to obtain greater profits. Because consumers have different criteria for judging the purchase price of commodities in different sales periods, their purchase behavior is not merely related to the price and quality of commodities, but also the dynamic reference price [32,33]. Rios et al [34] provided a solution for retailers' dynamic pricing in the actual environment by establishing an optimization mechanism for seasonal commodity sales to develop the optimal dynamic pricing and inventory strategy.…”

Section: Presale Strategies and Pricing Mechanismmentioning

confidence: 99%

Distributed Dynamic Pricing Strategy Based on Deep Reinforcement Learning Approach in a Presale Mechanism

Liang

Dong-jun

et al. 2023

Sustainability

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Despite the emergence of a presale mechanism that reduces manufacturing and ordering risks for retailers, optimizing the real-time pricing strategy in this mechanism and unknown demand environment remains an unsolved issue. Consequently, we propose an automatic real-time pricing system for e-retailers under the inventory backlog impact in the presale mode, using deep reinforcement learning technology based on the Dueling DQN algorithm. This system models the multicycle pricing problem with a finite sales horizon as a Markov decision process (MDP) to cope with the uncertain environment. We train and evaluate the proposed environment and agent in a simulation environment and compare it with two tabular reinforcement learning algorithms (Q-learning and SARSA). The computational results demonstrate that our proposed real-time pricing learning framework for joint inventory impact can effectively maximize retailers’ profits and has universal applicability to a wide range of presale models. Furthermore, according to a series of experiments, we find that retailers should not neglect the impact of the presale or previous prices on consumers’ purchase behavior. If consumers pay more attention to past prices, the retailer must decrease the current price. When the cost of inventory backlog increases, they need to offer deeper discounts in the early selling period. Additionally, introducing blockchain technology can improve the transparency of commodity traceability information, thus increasing consumer demand for purchase.

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Dynamic pricing, reference price, and price-quality relationship

Cited by 11 publications

References 83 publications

Unveiling Consumer Choices: Navigating Tupperware's Market in Cimahi City - The Dynamic Interplay of Perceived Value, Price, and Brand Image on Repurchase Intentions, Mediated by Customer Satisfaction in the Era of Evolving Trends

Unveiling Consumer Choices: Navigating Tupperware's Market in Cimahi City - The Dynamic Interplay of Perceived Value, Price, and Brand Image on Repurchase Intentions, Mediated by Customer Satisfaction in the Era of Evolving Trends

Operation Strategies of Green Supply Chain Members with Short-Sighted and Far-Sighted Behavior: A Differential Game Theory Approach

Distributed Dynamic Pricing Strategy Based on Deep Reinforcement Learning Approach in a Presale Mechanism

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