Re-Architecting Platform-Embedded AI as Hybrid Intelligence: Complementarity and Alignment in Entrepreneurial Decision-Making

Research context & significance

Research questions & objectives

• To develop and evaluate an empirically informed architecture for platform-embedded AI as hybrid intelligence.
• To study how can human, collective and machine intelligence be configured within platform-embedded AI to support entrepreneurial decision-making and platform-entrepreneur alignment.

Progress since last update

• Scope defined across three literature streams: hybrid intelligence in sociotechnical system design; digital entrepreneurial decision in platform AI Age; and platform governance, algorithmic control and AI alignment.
• Gap mapped: platform diagnosis and hybrid intelligence design have developed separately.

Tangible outputs & evidence

• Literature review Draft + Gap
• Research training completed: Introduction to Qualitative Research and Data Analysis Course; academic writing workshop

Key result

• Re-architect the platform loop: from AI steering with downstream human evaluation to hybrid intelligence supporting strategic complementarity and platform-entrepreneur alignment.

Next steps

1. 1

   Discuss the proposed hybrid intelligence architecture and research topic with the principal supervisor

   05 Oct 2026

2. 2

   Submit the refined literature review to the supervisor team, then submit to PELA

   09/23 Oct 2026

3. 3

   Complete the research proposal draft for supervisor team review

   30 Oct 2026

Success by next forum: Milestone-ready proposal

Risks & blockers

• Scope risk: the argument may spread too wide across hybrid intelligence design, entrepreneurial strategy, platform governance and ecosystem outcomes. Mitigation: bound the study to entrepreneurs’ decision domains and treat governance as context.
• Interdisciplinary research risk: sufficient technical depth may be required to support the proposed hybrid intelligence architecture and AI-application contribution. Mitigation: agree the level of instantiation with supervisor at the milestone.

Support needed

• Confirmation on three foundations before the proposal is drafted: whether the identified gap that platform diagnosis and hybrid intelligence design have developed separately holds against the current literature; whether the re-architecting scope is appropriate for a doctoral study; and whether Dellermann et al.’s hybrid intelligence is the right base model, or whether a more suitable framework exists in the AI and sociotechnical design literature.