Co-Evolutionary Coupling Between Captured and Uncaptured GDP Cycles : Cross Learning from Amazon and Finland Models for Sustainability
Kuniko, Moriya; Tou, Yuji; Watanabe, Chihiro; Neittaanmäki, Pekka (2019). Co-Evolutionary Coupling Between Captured and Uncaptured GDP Cycles : Cross Learning from Amazon and Finland Models for Sustainability. International Journal of Managing Information Technology, 11 (2), 33-54. DOI: 10.5121/ijmit.2019.11203
© Authors, 2019
A solution to the critical problem of a dilemma between R&D expansion and productivity decline that a majority of information and communication technology (ICT) leaders have been confronting in the digital economy 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 global ICT 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 elucidation frontier were conducted, thereby enabling a new concept of co-evolutionary coupling between two cycles to be postulated. An insightful suggestion regarding possible consequences in the future stemming from the trajectory option was thus provided. ...