Strategic AI adoption in SMEs: A Prescriptive Framework
Atif Hussain, Rana Rizwan

TL;DR
This paper presents a structured, phased framework to help SMEs adopt AI technologies effectively by systematically overcoming barriers like cost, skills, and acceptance, thereby enhancing their competitiveness.
Contribution
It introduces a comprehensive, step-by-step framework tailored specifically for SMEs to facilitate successful AI adoption and integration.
Findings
Framework guides incremental AI adoption in SMEs
Addresses barriers like cost, skills, and acceptance
Supports sustained growth and competitiveness
Abstract
Artificial Intelligence (AI) is increasingly acknowledged as a vital component for the advancement and competitiveness of modern organizations, including small and medium enterprises (SMEs). However, the adoption of AI technologies in SMEs faces significant barriers, primarily related to cost, lack of technical skills, and employee acceptance. This study proposes a comprehensive, phased framework designed to facilitate the effective adoption of AI in SMEs by systematically addressing these barriers. The framework begins with raising awareness and securing commitment from leadership, followed by the adoption of low-cost, general-purpose AI tools to build technical competence and foster a positive attitude towards AI. As familiarity with AI technologies increases, the framework advocates for the integration of task-specific AI tools to enhance efficiency and productivity. Subsequently, it…
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Taxonomy
TopicsBig Data and Business Intelligence · Impact of AI and Big Data on Business and Society · AI in Service Interactions
