Leveraging neuroleadership and AI-integrated capabilities: empowering entrepreneurial leaders to drive SME performance
Year: 2026
Type: article
Abstract: This conceptual article applies the RBV theory and the Technology Acceptance Model (TAM) in SMEs, intending to offer insights into entrepreneurial leadership and SME performance relationships. The research article restructures the emerging conclusions within the existing literature of entrepreneurship, leadership, neuroscience, artificial intelligence, and SMEs. It also provides an integrated new theoretical framework that consists of entrepreneurial leadership, neuroleadership, AI-integrated capabilities, and SME performance. In addition, it responds to the extant research questions on the possible connections between constructs and puts forward several connections that might develop the present organizational literature. This research article has begun the empirical investigation of small and medium enterprises’ performance with this theoretical model. Entrepreneurial leadership applies unique resources (RBV) to boost SME performance, and neuroleadership and AI-combined talents moderate this association based on perceived ease of use and usefulness (TAM) for better performance quality. This research article also fills the gap in the literature identified. To the best of the author’s knowledge, it is the first to synthesize and develop outcomes of entrepreneurship, neuroscience, and AI literature in the SME world. It also proposes a novel, integrated method to explain the entrepreneurial leadership and SME performance relationship.
Language: English
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,890
OpenAlex ID: W7202201007