Data-driven simulation method for strategic decision-making in circular economy business design.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Data-driven simulation method for strategic decision-making in circular economy business design.
Συγγραφείς: Tsurusaki, Yudai, Hwangbo, Yongsil, Matsushima, Shinichiro, Kimita, Koji
Πηγή: Proceedings of the Design Society; Aug2025, Vol. 5, p1101-1110, 10p
Θεματικοί όροι: Circular economy, Consumer preferences, Consumer behavior, Supply chains, Strategic planning, Simulation methods & models, Profitability, Business planning
Περίληψη: The circular economy (CE) seeks to replace traditional linear models by focusing on resource reuse and circulation. However, developing effective CE business strategies is difficult due to complex user behaviors and product flows. Existing scenario analysis tools often rely on survey-based conjoint methods, raising concerns about discrepancies with real purchasing patterns. This study introduces a data-driven simulation approach that employs a consumer preference model and product circulation processes based on actual operational data. Applied to a second-hand PC rental business, our method more accurately reproduces market behavior and reveals that targeting certain customer segments can enhance profitability and resource utilization. These findings underscore the approach's value as a practical tool for pre-evaluating strategies in CE businesses. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the Design Society is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Data-driven simulation method for strategic decision-making in circular economy business design.
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  Data: <searchLink fieldCode="AR" term="%22Tsurusaki%2C+Yudai%22">Tsurusaki, Yudai</searchLink><br /><searchLink fieldCode="AR" term="%22Hwangbo%2C+Yongsil%22">Hwangbo, Yongsil</searchLink><br /><searchLink fieldCode="AR" term="%22Matsushima%2C+Shinichiro%22">Matsushima, Shinichiro</searchLink><br /><searchLink fieldCode="AR" term="%22Kimita%2C+Koji%22">Kimita, Koji</searchLink>
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  Data: Proceedings of the Design Society; Aug2025, Vol. 5, p1101-1110, 10p
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  Data: <searchLink fieldCode="DE" term="%22Circular+economy%22">Circular economy</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+preferences%22">Consumer preferences</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+behavior%22">Consumer behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink><br /><searchLink fieldCode="DE" term="%22Strategic+planning%22">Strategic planning</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Profitability%22">Profitability</searchLink><br /><searchLink fieldCode="DE" term="%22Business+planning%22">Business planning</searchLink>
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  Label: Abstract
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  Data: The circular economy (CE) seeks to replace traditional linear models by focusing on resource reuse and circulation. However, developing effective CE business strategies is difficult due to complex user behaviors and product flows. Existing scenario analysis tools often rely on survey-based conjoint methods, raising concerns about discrepancies with real purchasing patterns. This study introduces a data-driven simulation approach that employs a consumer preference model and product circulation processes based on actual operational data. Applied to a second-hand PC rental business, our method more accurately reproduces market behavior and reveals that targeting certain customer segments can enhance profitability and resource utilization. These findings underscore the approach's value as a practical tool for pre-evaluating strategies in CE businesses. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Proceedings of the Design Society is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1017/pds.2025.10124
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 1101
    Subjects:
      – SubjectFull: Circular economy
        Type: general
      – SubjectFull: Consumer preferences
        Type: general
      – SubjectFull: Consumer behavior
        Type: general
      – SubjectFull: Supply chains
        Type: general
      – SubjectFull: Strategic planning
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      – SubjectFull: Simulation methods & models
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      – SubjectFull: Profitability
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      – SubjectFull: Business planning
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      – TitleFull: Data-driven simulation method for strategic decision-making in circular economy business design.
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            NameFull: Tsurusaki, Yudai
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            NameFull: Hwangbo, Yongsil
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            NameFull: Matsushima, Shinichiro
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 5
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