All Journals

Language Teaching Research Quarterly

European Journal of Studies in Management and Business

International Journal of Behavior Studies in Organizations

Studies in Educational Management

New Challenges in Accounting and Finance

Language Testing in Focus: An International Journal

Marketing and Branding Research

Individual Differences in Language Education: An International Journal 

Feedback Research in Second Language 

Management Issues in Healthcare System

Language Teacher Education Research

Artificial Intelligence Knowledge Development

Small firms in emerging economies are often unaware of technology&rsquo;s benefits. Technology assimilation tools are not common in their skill domain or business culture. Their absorptive capacity is very low, since they are usually pressed with operational problems. But artificial intelligence and digital technologies are powerful changes, modifying their competitive environment. The use of AI tools, and particularly generative AI, represents a further domain in which traditional businesses&rsquo; ability to assimilate the technology will be further challenged. Our research operationalizes specific capabilities that small firms must develop to assimilate and use AI in their operations, particularly in strategic decision-making. Evidence from case studies and AI use-case analyses from small firms in Latin America is used to illustrate the stages and capabilities that enable a firm to assimilate AI into strategic decision-making. Use case analysis explains the relationship between the use of artificial intelligence in small firms and their innovation capabilities in the Latin American economic context. A model of the process of dynamic capability development and the growth of absorptive capacity is proposed for guidance in future research in the Latin American context.

mbrq.2025.35.04.pdf

Original Research 

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AI Readiness and Technology Adoption Processes in SME’s in Emerging Economies

This research examines how Small and Medium-sized Enterprises (SMEs) in Guadalajara&rsquo;s Metropolitan Area are incorporating Large Language Models (LLMs) into their operations. Beyond simply mapping adoption, it explores the specific tools in use, the tasks they support, the organizational areas they influence, and the benefits companies perceive from their implementation. Adopting a quantitative design, the study will draw on data collected through a questionnaire administered to a representative sample of SMEs across diverse sectors. Key variables, namely frequency of use, user profiles, functional areas involved, types of tasks performed, perceived advantages, and decision-making factors, will be systematically analyzed. Statistical techniques, including descriptive, comparative, and correlational analyses, will be applied to reveal usage patterns and relationships among variables. The resulting evidence will provide a nuanced picture of how LLMs are transforming the local business landscape. These insights aim to inform public policy and guide technological adoption strategies, fostering broader and more effective integration of Artificial Intelligence tools within SMEs in Jalisco.

mbrq.2025.35.02.pdf

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Analysis of the use of Large-Scale Language Models (LLMs) in SMEs in the Guadalajara Metropolitan Area: Tools, Tasks, and Perceived Benefits