Human-Centric AI Integration in Retail Workplaces Examining Digital Readiness, Organizational Learning, and Employee Resilience as Drivers of Performance

Abstract

Purpose: The concept of Artificial Intelligence (AI) finds more and more applications in the retail workplaces where it is aimed at enhancing efficiency, decision-making, and performance. Nevertheless, this does not always go well in many organizations as AI implementation is described to be more technology-centric than people-centric. This paper gives an analysis of how AI integration, which is humancentric, its digital readiness, organizational learning, and employee resilience can affect employee performance in the retail work environment.

Methodology: The quantitative research design was chosen to provide a structured survey of 312 employees working with the AI-based systems to gather the information. Descriptive statistics, correlation analysis, regression analysis, and the moderation analysis were used as a means of statistical analysis.

Findings: The results indicate that all the four factors significantly impact on the performance of employees in a positive way. Of them, employee resilience was found to be the most effective predictor of performance. The findings further suggest that employee resilience enhances the positive correlation between human centric AI integration and employee performance.

Implications: These conclusions indicate that AI systems can be more effective when the employees are digitally prepared, supported in learning, and feel emotionally qualified to be able to adapt to change. The paper shows the relevance of prioritizing the human factor in terms of AI incorporation in retail work environments. With formulation of emphasis on the technological as well as human aspects, the organisations can enhance their performance alongside maintaining the well-being of the employees and their long-term sustainability.