Joined the Sequence Analysis Association & Presented Ongoing Research on AI Adoption

I am pleased to share that my membership with the Sequence Analysis Association (SAA) has officially been approved. This marks an important milestone in my methodological journey as I deepen my engagement with event-series analysis and process-based theorizing in Information Systems research. Shortly after my admission, I had the opportunity to present my work-in-progress study…


I am pleased to share that my membership with the Sequence Analysis Association (SAA) has officially been approved. This marks an important milestone in my methodological journey as I deepen my engagement with event-series analysis and process-based theorizing in Information Systems research.

Shortly after my admission, I had the opportunity to present my work-in-progress study titled:

“Event Series Research on AI Adoption”

This presentation took place during the Work-in-Progress Seminar on Sequence Analysis, which featured emerging research applying sequence methods across disciplines. The session was structured to encourage open discussion and collective refinement of research designs.

🧩 Seminar Details

  • Subject: Work-in-progress
  • Format: Two applied research presentations using sequence analysis, followed by methodological discussion
  • Original Speakers:
    • Jan Einhoff(Cancelled) Combining sequence and age-period-cohort analysis to study change in retirement entries over time
    • Chinonso AnyaehieEvent Series Research on AI Adoption
  • Host: Sequence Analysis Association Seminar Series
  • Mode: Virtual (Zoom)

🔍 About My Research

My study applies sequence analysis techniques to 21 adoption trajectories of generative AI tools collected through event-series interviews with professionals. By converting qualitative narratives into analytically comparable sequences, I explore how different adoption logics unfold over time—from early informal experimentation to organizational integration and governance.

This work contributes to:

  • Computational process theory-building in Information Systems
  • Methodological integration of qualitative event coding and quantitative sequence clustering
  • Understanding bottom-up adoption dynamics of new AI technologies in real organizational contexts

🚀 Why This Matters

Joining the SAA offers direct exposure to cutting-edge techniques in temporal pattern analysis, optimal matching, and longitudinal process modeling. Presenting at this early stage allowed me to:

  • Receive method-focused feedback from experts in sequence methodology
  • Position Information Systems research within broader methodological conversations
  • Strengthen my academic profile within an international research network

This presentation and membership reinforce my commitment to advancing process-oriented theorizing in IS, using computational sequence analysis to uncover the hidden logics that shape technology futures.

📌 This update is being documented as part of my academic trajectory and appears in my professional CV to mark my engagement with the Sequence Analysis scholarly community.


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