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Artificial Intelligence: Understanding the determinants of adoption and intention to recommend the technology in Mobile Stock Market Trading
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Autores
Orientador(es)
Resumo(s)
As Artificial Intelligence continues to reshape the financial sector, providing numerous
benefits and improvements, mobile stock trading is also becoming crucial for firms and
individuals interested in investing. Both areas are playing an increasingly important role in the
financial sector, reinforcing capabilities, empowering investors, and improving trading
experiences. Nevertheless, the expeditious rise of AI in the financial sector has given rise to
some ethical, security and privacy concerns, thus resulting in the need to study the
determinants of adoption and intention to recommend such a disruptive technology regarding
mobile stock trading. We advance the body of knowledge on this subject by exploring an
almost unexplored area of research through the creation of an innovative research model,
combining the well-known Delone and McLean information systems success model with the
SOR theory. The data was collected in a south European country, in a quantitative study,
analyzed using SEM - structured equation modeling. The results show that there is a direct
strong relationship between perceived intelligence and perceived anthropomorphism, risk,
cost, task technology fit and trust. Intention to use positively affects intention to recommend,
satisfaction and net benefits. Understanding the main determinants of adoption of AI in the
mobile stock trading sector is of extreme usefulness for practitioners, decision makers, and
researchers, providing insights for user experience enhancement, revenue and efficiency
increase, and cost reduction.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Artificial Intelligence Mobile Stock Trading Technology Adoption SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 12 - Responsible production and consumption