淡江大學機構典藏:Item 987654321/116391
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 56733/90513 (63%)
Visitors : 12081118      Online Users : 40
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116391


    Title: Evolutionary programming of product design policies. An agent-based model study
    Authors: Vermeulen, Ben;Chie, Bin-Tzong;Chen, Shu-Heng;Pyka, Andreas
    Date: 2017-11-15
    Issue Date: 2019-04-25 12:10:49 (UTC+8)
    Abstract: The new product development and operational marketing literature grapples with incorporation of uncertainty on the market and technological structure discovered over time. In contrast, market and technological uncertainty is at the heart of neo-Schumpeterian agent-based models used in evolutionary innovation economics. We present a novel agent-based model in which designer agents design products to cater to services desired by user agents. In this model, designers imitate and experiment with design policies with which they engage in contests to puzzle together products. This model thus `evolutionary programs' a commendable design policy for the given market and technological structure. We experimentally vary the segmentation of the market and the density of technological relationships ex ante unknown to designer agents and then study the emerging `winning' design policies. Preliminary simulation results reveal that there is no `one-size-fits-all' design policy, but that winning design policies are tailored to the structure of market and technology following particular rationales. Given that we present a novel model, we critically reflect on the operationalizations and propose further refinements.
    Relation: 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES)
    DOI: 10.1109/IESYS.2017.8233552
    Appears in Collections:[Graduate Institute & Department of Industrial Economics] Proceeding

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML62View/Open
    index.html0KbHTML63View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback