Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7256615 | Technological Forecasting and Social Change | 2015 | 20 Pages |
Abstract
Ecosystem forecasting is a challenge for any forecaster since it has a large number of variables, which vary dynamically, tightly coupled with environmental factors under a complex ecosystem architecture. The ecosystem behaves like a complex system as a whole where one variable may serve as a hierarchical pillar to other variables, while others interact with each other in non-linear forms of substitution, complementarity, synergy and externalities. This paper is targeted to develop a profound structured approach to the ecosystem forecasting which combines scenario planning with technological forecasting. Three key planning principles are derived and incorporated into the structured ecosystem forecasting methodology. To demonstrate its effectiveness, the Korean multi-screen service market is analyzed and prospected toward the year 2016. Policy and strategic implications from the structured ecosystem forecasting are also discussed to validate the practicality of the suggested methodology.
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Authors
Suk-Gwon Chang,