ENHANCING COMMUNITY ENTREPRENEURSHIP COMPETITIVENESS: THE EVOLUTION TO THE AI-INTEGRATED SPEED-X MODEL
DOI:
https://doi.org/10.14456/aamr.2026.24Keywords:
Community Entrepreneurship, Business Competitiveness, SPEED-X Model, Artificial Intelligence Integration, Sustainable Local EconomyAbstract
This study empirically evaluates the efficacy of the SPEED Model strategy—comprising Social networking, Perception, Extra value, Excitement, and Design—in strengthening community entrepreneurship and business competitiveness. Utilizing a mixed-methods quasi-experimental design, empirical data were gathered from 50 targeted community entrepreneurs in Pak Kret Municipality, Thailand. Quantitative analysis using paired-samples t-tests revealed that entrepreneurial capabilities improved significantly post-implementation, particularly in the critical domains of strategic business and risk management. Furthermore, qualitative insights derived from intensive focus group discussions strongly validated these statistical enhancements but simultaneously uncovered a crucial necessity for rapid digital adaptation to sustain long-term market relevance. Consequently, this study proposes an evolved strategic framework, the "SPEED-X Model," which fundamentally integrates Artificial Intelligence (AI) to augment the original five dimensions. Ultimately, the findings provide a robust, actionable roadmap for policymakers and community enterprises, demonstrating that systematically combining foundational strategic models with modern AI technologies is essential for achieving sustainable economic competitiveness.
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