A new Pattern for evaluating the export ecosystem of knowledge-based products
Subject Areas :
Abbas Moeini
1
,
حسین وظیفه دوست
2
,
Fereydoon Rahnama Roodposhti
3
1 - PhD Candidate, Department of Management, UAE Branch, Islamic Azad University, Dubai, UAE.
2 - Professor, Department of Management, SR.C., Islamic Azad University, Tehran, Iran (Corresponding Author).
3 - Professor, Department of Accounting, SR.C., Islamic Azad University, Tehran, Iran.
Keywords: Ecosystem, Export, Evaluation, Export Ecosystem, Knowledge-based Products,
Abstract :
Introduction This study aims to present a new model for evaluating the export ecosystem of knowledge-based products, addressing the need for a comprehensive assessment framework to enhance national export performance.
Literature Review Existing literature often lacks a systemic perspective on export ecosystems; this research addresses this gap by developing an empirically grounded, holistic model that captures the complex interplay of various influencing factors.
Research Methodology Employing a qualitative approach with systematic grounded theory, data were collected through semi-structured interviews with 15 experts and analyzed using open, axial, and selective coding to construct a paradigmatic model.
Results The analysis yielded a model with 5 selective categories, 13 core categories, and 83 sub-categories. A frequency analysis identified the priority of these components, with ‘Strategies’ (31.3%) being the most prominent, followed by ‘Consequences’ (22.4%) and ‘Causal Conditions’ (19.7%).
Discussion and Conclusion The resulting framework provides a valuable tool for policymakers and practitioners to systematically assess and improve the export ecosystem for knowledge-based products, ultimately enabling the design of more effective executive strategies.
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