Metaverse, entrepreneurial learning and opportunity exploitation

Abstract

Purpose

In the cosmic expanse of the digital universe, a new celestial body emerges the Metaverse. This study embarks on an interstellar journey to scrutinize the dynamics of entrepreneurial learning (EL) and opportunity in the burgeoning realm of the metaverse. This study aims to understand how personal entrepreneurial characteristics (PEC) and Metaverse environment characteristics (MEC) influence these processes.

Design/methodology/approach

The study devotes a dual-lens approach, combining the power of interviews (Phase I) and the precision of a survey (Phase II). It harnesses the insights of the entrepreneurial event model (EEM) and the technology acceptance model (TAM), serving as twin beacons guiding our exploration of the constructs under PEC/MEC.

Findings

The study uncovers a fascinating tapestry of interwoven variables. Certain threads in the PEC/MEC weave significantly into the fabric of EL, which in turn embroiders the pattern of opportunity exploitation. However, some threads, namely, Metaverse scalability, entrepreneurial risk-taking and innovativeness, do not significantly contribute to the design of EL.

Practical implications

The findings serve as a compass for various stakeholders in the metaverse. They guide the design of entrepreneurial education programs, inform the development of user-friendly metaverse platforms, shape policies promoting entrepreneurship in the metaverse and provide strategic insights for entrepreneurs and investors.

Originality/value

This study is a trailblazer, being among the first to apply the EEM and TAM in the context of the Metaverse. It offers fresh perspectives on entrepreneurial processes in virtual environments, enriching the emerging narrative on metaverse entrepreneurship and charting unexplored territories for future research.

Citation

Abaddi, S. (2024), "Metaverse, entrepreneurial learning and opportunity exploitation", Journal of Entrepreneurship in Emerging Economies, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEEE-04-2024-0163