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    Importance-Induced Customer Segmentation Using Explainable Machine Learning 

    Source: Journal of Mechanical Design:;2024:;volume( 147 ):;issue: 004:;page 44501-1
    Author(s): Park, Seyoung; Jiang, Yilan; Kim, Harrison
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Customer segmentation plays a critical role in enhancing a company’s product penetration rate in the market. It enables numerous downstream applications such as customer-oriented product development and trend analysis. ...
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    Finding Social Networks Among Online Reviewers for Customer Segmentation 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 012:;page 121703
    Author(s): Park, Seyoung;Kim, Harrison M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Recently, online usergenerated data have emerged as a valuable source for industrial applications. In the consumer product area, many studies analyze online data and draw implications on product design. However, most of ...
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    Optimal Modular Remanufactured Product Configuration and Harvesting Planning for End-of-Life Products 

    Source: Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 004:;page 42001-1
    Author(s): Kim, Jinju; Park, Seyoung; Kim, Harrison M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Remanufacturing is a representative product recovery strategy that can improve economic profitability and sustainability, but many companies are struggling because of the lack of understanding of the market and the design ...
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    An Automated Data-Driven Approach for Product Design Strategies to Respond to Market Disruption Following COVID-19 

    Source: Journal of Mechanical Design:;2024:;volume( 147 ):;issue: 003:;page 31402-1
    Author(s): Park, Seyoung; Lin, Kangcheng; Joung, Junegak; Kim, Harrison
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Online reviews provide a source to identify customer needs. While many studies have analyzed online reviews during the pandemic, it is worth noting that many customer preference studies in this period were not conducted ...
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    Analysis of Dynamic Changes in Customer Sentiment on Product Features After the Outbreak of COVID-19 Based on Online Reviews 

    Source: Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 002:;page 24501-1
    Author(s): Kim, Jinju; Park, Seyoung; Kim, Harrison M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Sudden changes in life and work patterns due to COVID-19 have affected customer requirements for the products. Under these circumstances, companies can achieve high profitability and customer satisfaction when they can ...
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