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  • 标题:Co-Evolutionary Coupling Between Captured and Uncaptured GDP Cycles:Cross Learning from Amazon and Finland Models for Sustainability
  • 本地全文:下载
  • 作者:Moriya Kuniko ; Yuji Tou ; Chihiro Watanabe
  • 期刊名称:International Journal of Managing Information Technology
  • 印刷版ISSN:0975-5926
  • 电子版ISSN:0975-5586
  • 出版年度:2019
  • 卷号:11
  • 期号:2
  • 页码:1-22
  • DOI:10.5121/ijmit.2019.11203
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:A solution to the critical problem of a dilemma between R&D expansion and productivity decline that amajority of information and communication technology (ICT) leaders have been confronting in the digitaleconomy is expected. It can be expected by a spinoff from economic functionality-seeking GDP-based coevolution cycle to supra-functionality beyond an economic value-seeking uncaptured GDP-driven coevolution cycle. However, the transformation dynamism remains a black box.By means of numerical simulations based on empirical analyses of the development trajectories of globalICT leaders, focusing on Amazon and Finland, together with an intensive review of preceding analyses,this paper attempted to elucidate the inside the black box of the above dynamism.By developing a practically applicable numerical approach, inspired attempts to explore a new elucidationfrontier were conducted, thereby enabling a new concept of co-evolutionary coupling between two cycles tobe postulated.An insightful suggestion regarding possible consequences in the future stemming from the trajectory optionwas thus provided..
  • 关键词:Co;evolutionary coupling; uncaptured GDP; transformation; Amazon and Finland; dilemma between R&Dand productivity
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