Trade-in operations under retail competition: Effects of brand loyalty

Tang, Fei; Ding, Ying; Ma, Zhenjun; Choi, Tsan‐Ming

doi:10.1016/j.ejor.2023.03.020

Cited by 18 publications

(5 citation statements)

References 50 publications

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“…This, in turn, helps in gaining brand loyalty from users. This brand loyalty often stems from high consumer satisfaction with the company's products and the unique position of these products in the market (Molinillo et al, 2019; Tang et al, 2023). Szymanski et al (1993) also assert that market share is a critical factor in enhancing a company's profitability.…”

Section: Discussionmentioning

confidence: 99%

How to achieve the high‐quality development of SRDI enterprises? Evidence from machine learning

Qu,

Bai

2024

Manage Decis Econ

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Exploring how SRDI enterprises achieve high‐quality development constitutes a pivotal task for small and medium‐sized enterprises (SMEs) and niche leaders. While prior research primarily concentrated on the influence of innovative policies on SRDI enterprises, it has disregarded the intrinsic propelling forces intrinsic to these enterprises. To bridge this research gap, our study leverages a machine learning model that incorporates 19 feature variables spanning four dimensions—“specialization, refinement, distinctiveness, and innovation”—to anticipate high‐quality development in enterprises. Drawing on a sample of 667 A‐share SRDI‐listed enterprises from 2012 to 2022, and after subjecting the data to preprocessing, the study employs the mean of five machine learning models to predict high‐quality development in enterprises. Moreover, we discern pivotal feature variables and dimensions. Notably, outcomes underscore the paramount significance of market share in achieving high‐quality progress within SRDI enterprises, with refinement emerging as the foremost feature dimension among the four. Moreover, during the three stages delineated by SRDI policies, research and development intensity, equity financing, and market share emerge as the preeminent feature variables within their respective stages.

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Section: Discussionmentioning

confidence: 99%

How to achieve the high‐quality development of SRDI enterprises? Evidence from machine learning

Qu,

Bai

2024

Manage Decis Econ

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“…Faced with the above challenges, this paper proposes to trade-in via a supplier that has the capability and willingness to process recycling [62][63][64]. This approach has been adopted in several scenarios such as in manufacturing product supply chains or dualchannel supply chains.…”

Section: Relief Supply-chain Coordinationmentioning

confidence: 99%

Integrating Trade-In Strategies for Optimal Pre-Positioning Decisions in Relief Supply-Chain Systems

Ju,

Hou,

Yang

et al. 2024

Systems

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This paper delves into optimizing the rotation of relief supplies within the relief supply chain system, concentrating on reserve quantity decisions for governments and humanitarian organizations involved in disaster response. By integrating a trade-in strategy with suppliers, it ensures a precise and timely response to the fluctuating demand for relief supplies post-disaster. Utilizing the newsvendor model, optimization theory, and supply chain coordination principles, we developed a comprehensive model that calculates optimal reserve quantities for pre-positioning demanders. It also outlines the expected profit function for suppliers and a robust supply chain coordination model. The findings highlight that optimal stockpiling decisions for relief supplies are heavily influenced by cost parameters, material characteristics, and the relationship between trade-in pricing and market resale values. Notably, higher trade-in prices generally reduce the government’s optimal reserve quantities, impacting strategic decisions within supply chain coordination. This research adds to disaster management literature by offering strategic insights into how coordination and pricing strategies can improve disaster preparedness and response efficiency and effectiveness.

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“…Li et al (2023) developed manufacturing-remanufacturing models for two market scenarios when cores for remanufacturing are limited by used product collection and found that the determining factors of optimal decisions are different across the two market scenarios. Tang et al (2023) examined the impact of brand loyalty on exclusive and nonexclusive trade-in programs, showing that an exclusive trade-in program effectively retains consumers when brand loyalty is sufficiently weak. Hu et al (2023) studied a manufacturer's trade-in and refurbishment strategy in the face of strategic consumers and analyzed how heterogeneous consumers make purchase and trade-in decisions.…”

Section: Literature Reviewmentioning

confidence: 99%

Updated‐generation product introduction decisions under trade‐in programs and different pricing strategies

Fan,

Zhao,

Zhu

2024

Manage Decis Econ

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Manufacturers introduce updated‐generation products to meet intensified competition under trade‐in programs. Based on this phenomenon, we built a two‐period game‐theoretic model, in which the manufacturer sells the old‐generation product during both periods and considers whether to introduce the updated‐generation product in the second period. We find that under a static pricing strategy, if the costs of both products are low, the updated‐generation product's entry increases the old‐generation product's retail price. The manufacturer cannot benefit from introducing the updated‐generation product if the updated‐generation product's cost is high. Under a dynamic pricing strategy, the updated‐generation product entry benefits both the manufacturer and the consumer.

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Trade-in operations under retail competition: Effects of brand loyalty

Cited by 18 publications

References 50 publications

How to achieve the high‐quality development of SRDI enterprises? Evidence from machine learning

How to achieve the high‐quality development of SRDI enterprises? Evidence from machine learning

Integrating Trade-In Strategies for Optimal Pre-Positioning Decisions in Relief Supply-Chain Systems

Updated‐generation product introduction decisions under trade‐in programs and different pricing strategies

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