Co-Evolutionary Coupling via a Digital-bio Ecosystem – A Suggestion for a New R&D Model in the Digital Economy

International Journal of Managing Information Technology (IJMIT) Vol.11, No.2, May 2019

23 Pages Posted: 25 Jun 2019

See all articles by Nasir Naveed

Nasir Naveed

University of Jyväskylä - Faculty of Information Technology

Chihiro Watanabe

Tokyo Institute of Technology

Pekka Neittaanmäki

University of Jyväskylä - Faculty of Information Technology

Multiple version iconThere are 2 versions of this paper

Date Written: June 14, 2019

Abstract

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.

Keywords: co-evolutionary coupling, uncaptured GDP, transformation, Amazon and Finland, dilemma between R&D and productivity

Suggested Citation

Naveed, Nasir and Watanabe, Chihiro and Neittaanmäki, Pekka, Co-Evolutionary Coupling via a Digital-bio Ecosystem – A Suggestion for a New R&D Model in the Digital Economy (June 14, 2019). International Journal of Managing Information Technology (IJMIT) Vol.11, No.2, May 2019, Available at SSRN: https://ssrn.com/abstract=3404007 or http://dx.doi.org/10.2139/ssrn.3404007

Nasir Naveed (Contact Author)

University of Jyväskylä - Faculty of Information Technology ( email )

Seminaarinkatu 15
(C, main building)
Agora, FI-40014
Finland

Chihiro Watanabe

Tokyo Institute of Technology ( email )

2-12-1 O-okayama, Meguro-ku
Tokyo 152-8550, 52-8552
Japan

Pekka Neittaanmäki

University of Jyväskylä - Faculty of Information Technology ( email )

Seminaarinkatu 15
(C, main building)
Agora, FI-40014
Finland

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