An integrated three-layered foresight framework

Cornelis van Dorsser*, Poonam Taneja

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)
139 Downloads (Pure)

Abstract

Purpose: The paper aims to present an integrated foresight framework and method to support decision-makers who are confronted with today’s complex and rapidly changing world. The method aims at reducing the degree of uncertainty by addressing the inertia or duration of unfolding trends and by placing individual trends in a broader context. Design/methodology/approach: The paper presents a three-layered framework and method for assessing megatrends based on their inertia or duration. It suggests that if long-term trends and key future uncertainties are studied in conjunction at a meta-level and placed in a broader multi-layered framework of trends, it can result in new insights. Findings: The application of the proposed foresight method helps to systematically place a wide range of unrelated trends and key uncertainties in the context of a broader framework of trends, thereby improving the ability to understand the inertia, direction and mutual interaction of these trends. Research limitations/implications: The elaboration of identified trends and key uncertainties is partly case-specific and subject to interpretation. It is aimed at illustrating the potential use of the framework. Practical implications: The paper presents a new approach that may, by itself or in combination with existing foresight methods, offer new means for anticipating future developments. Social implications: The use of the proposed framework has potential to provide better insight in the complexity of today’s rapid-changing world and the major transitions taking place. It aims to result in sharper foresight by reducing epistemic uncertainty for decision-makers. Originality/value: The paper demonstrates how megatrends, Kondratieff waves and century-long trends can be placed in an integrated framework and analysed in conjunction.

Original languageEnglish
Pages (from-to)250-272
Number of pages23
JournalForesight
Volume22
Issue number2
DOIs
Publication statusPublished - 2020

Keywords

  • Decision-making
  • Foresight
  • Kondratieff
  • Megatrends
  • Uncertainty

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