Influence of Artificial Intelligence on Promoting Adaptability and Decision-Making Processes among SME Operators in Anambra State, Nigeria

Authors

  • Orabueze Martha Chidiebere Author
  • Alonta Gabriel Chidiebere Author
  • Ikpat Nzube Happiness Author

Keywords:

Adaptability, Anambra State, Artificial Intelligence, Decision-Making, Nigeria, SMEs

Abstract

This study investigates the influence of Artificial Intelligence (AI) on promoting adaptability and enhancing decision-making processes among Small and Medium Enterprise (SME) operators in Anambra State, Nigeria. In the face of an increasingly dynamic business environment, SMEs must respond swiftly to market fluctuations, consumer behaviour, and competitive pressures. AI technologies such as predictive analytics, real-time data processing, and trend forecasting, offer significant potential to support these responses by equipping SMEs with tools for strategic adaptability and informed decision-making. A descriptive survey research design was adopted, and data were gathered from 105 SME operators selected using an accidental sampling technique. The instrument used for data collection was a structured questionnaire titled “Influence of AI on Promoting Adaptability and Decision-Making Processes among SME Operators Questionnaire”, structured on a five-point Likert scale. The instrument was validated by experts and demonstrated high reliability with Cronbach’s alpha values of 0.86 for adaptability and 0.79 for decision-making components. Data were analyzed using the weighted mean and standard deviation. The findings reveal that AI significantly contributes to improving SME operators’ adaptability through personalized learning, real-time market tracking, and behavioural insights. Similarly, AI enhances decision-making by enabling data-driven judgments, identifying patterns, and supporting risk assessment and opportunity recognition. Based on the results, it is recommended that SME operators adopt AI tools to strengthen operational flexibility and strategic thinking. Investments in AI literacy and digital capacity-building are also advised to ensure effective adoption

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Published

2025-09-11