Abstract

This paper aims to present an overview of the framework and methodology that might help Qatari decision makers understand and identify factors affecting the transition towards a knowledge-based economy in a non-static fast-changing real-world setting, with a specific focus on clarifying some of the key dynamics and characteristics of its establishment. In this regards, it aims to quantify the effect of government policies, ICT infrastructure, and society norm dimensions by seeking to provide an insight on the main driving forces behind its emergence—exploring the core pillars, potential pitfalls, and bottlenecks. In addition, it attempts to help close the existing gaps resulting from the discrepancy between the pace of the knowledge-based economy foundation and inadequate supporting institutional framework. Country-specific characteristics of the Qatar economy are considered in order to determine the right approach for adopting the knowledge-based economy orientation that would be aligned with Qatar National Vision 2030. Finally, the expert-driven fuzzy-logic approach has been proposed to help decision-makers in providing guidance for outlining and evaluating the relevant strategies.

Highlights

  • The last couple of decades have been characterized by the rapid transformation of economic concepts that have had profound influence on the establishment of innovation-driven economies

  • The main aim of this paper was to outline the most effective model that would help Qatari decision-makers evaluate their efforts towards predetermined knowledge-based economy establishment goals

  • The underlying pillars and initiator factors pertaining to knowledge-economy establishment and the associated bottlenecks are scrutinized in greater detail to help understand potential challenges that might be encountered during the transition stage

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Summary

Introduction

The last couple of decades have been characterized by the rapid transformation of economic concepts that have had profound influence on the establishment of innovation-driven economies. The main aim of this paper was to outline the most effective model that would help Qatari decision-makers evaluate their efforts towards predetermined knowledge-based economy establishment goals. The expert-driven fuzzy-logic methodology has been proposed to test the suggested research model that aims to quantify the effect of government policies, ICT infrastructure, and society norm dimensions on influencing decision making in a transition towards knowledge-based economy. Following a detailed discussion on the research model stages and their associated factors, the paper outlines the benefits resulting from the utilization of the proposed methodology with a recommendation for further model development to evaluate the knowledge-based economy level. It is worthy in this regards to mention that this paper is a conceptual paper, where the authors are inviting researcher to apply the developed model and proposed methodology for factors evaluation

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