Assessing product and warranty sales: Impact of assessments and supply chains

IF 6.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2025-02-01 Epub Date: 2024-12-05 DOI:10.1016/j.cie.2024.110758
Keang Zhang , Tao Zhang , Shang Gao
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Abstract

Extended warranties are widely utilized in our lives to help mitigate potential losses. They can be offered either by the manufacturer (in supply chain M) or by a platform (in supply chain R). The decision of a customer to purchase an extended warranty primarily depends on the perceived quality. Customers derive their perceived quality through online assessments of the product found on video-sharing platforms. However, both unbiased and biased online assessments can lead to varying perceptions among customers. In this paper, we propose four models based on two assessments (biased and unbiased) and two supply chain structures (supply chain M and supply chain R). Furthermore, to explore the endogenous nature of biased assessments, we investigate the sponsorship dynamics concerning online assessment bloggers. Key findings include: (1) Underestimation (overestimation) can lead to reduced (increased) profits for both the manufacturer and the platform in supply chain M. However, in supply chain R, underestimation (overestimation) may prove advantageous (detrimental) for the platform. (2) Under unbiased assessments, the optimal retail price of a product in supply chain R consistently surpasses that in supply chain M. With biased assessments, when the actual quality is relatively high, the manufacturer earns more in supply chain M, while the platform earns more in supply chain R. (3) Sponsorship costs escalate with higher actual quality, prompting the manufacturer to allocate a higher sponsorship budget compared to the platform. (4) The extended warranty provider is advised against sponsoring online assessment bloggers. Conversely, the party not providing the extended warranty is recommended for sponsorship of bloggers.
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评估产品和保修销售:评估和供应链的影响
延长保修在我们的生活中被广泛使用,以帮助减少潜在的损失。它们既可以由制造商(在供应链M中)提供,也可以由平台(在供应链R中)提供。客户购买延保的决定主要取决于感知质量。消费者通过视频分享平台上对产品的在线评估来获得他们对产品质量的感知。然而,无偏见和有偏见的在线评估都可能导致客户的不同看法。在本文中,我们提出了基于两种评估(有偏和无偏)和两种供应链结构(供应链M和供应链R)的四种模型。此外,为了探索有偏评估的内生性质,我们研究了在线评估博客的赞助动态。主要发现包括:(1)低估(高估)会导致供应链m中制造商和平台的利润减少(增加)。然而,在供应链R中,低估(高估)可能对平台有利(有害)。(2)在无偏评价下,产品在供应链R中的最优零售价格始终优于供应链M中的最优零售价格。在有偏评价下,当产品的实际质量较高时,制造商在供应链M中的收益较高,而平台在供应链R中的收益较高。(3)赞助成本随着实际质量的提高而上升,促使制造商比平台分配更高的赞助预算。(4)建议延保提供商不要赞助在线评估博客。相反,对于博客的赞助,建议不提供延长保修的一方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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