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Consumer-Driven Decision-Making Service Model Selection Using Contextualization and Personalization for Consumer Electronics in E-Commerce
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DOI：10.1109/TCE.2024.3367296.png)
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Abstract
En 中文
Online retailers' profits are jointly affected by cognitive differences and service differences, not only directly related to price but also highly related to unit service cost, brand recognition, and competitor's price strategy. Technology for energy-efficient wireless networks of sensors has potential to improve this customer experience for consumer electronics in e-commerce. Several applications for sensor networks exist, such as wireless data collecting, environmental monitoring, machine monitoring and maintenance, automated on-site tracking of costly goods, safety management, transport layer, network layer, data link layer, and many more. Intelligent systems wireless sensor networks are already used in numerous facets of our daily lives to fully understand the state of development customization tourism in the EBD's tourism e-commerce. Online retailers also have the advantage of dynamic decision-making in the game. The party who decides first is better than party who decides later in terms of profit and price and is also significantly better than the equilibrium under static decision-making. There is theoretical threshold in the service level of online retail, and merchants will not provide services exceeding the threshold. This research conclusion provides theoretical reference for retailer network competition equilibrium pricing decision-making and service model selection under the background of big data.
Keywords:
Wireless sensor networks
Consumer electronics
Electronic commerce
Sensors
Business
Supply chains
Cognition
Discrete price effect
low-cognitive service
energy efficient
wireless sensor networks
contextualization and personalization
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10.9
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5.1K
Citations:
6.8K
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