A Cross-Disciplinary Review of Blockchain Research Trends and Methodologies: Topic Modeling Approach
Authors:
Muhammad Nauman Shahid & Jungpil Hahn
Venue / Institution:
Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS-53)
Plain English Executive Summary
Where has blockchain research been heading, and where are the gaps? By analyzing thousands of blockchain studies across disciplines, this research maps the evolution of the field, identifies recurring themes and methodological shifts, and reveals areas where researchers have yet to fully connect technological developments with broader organizational and societal questions.
Abstract
This study applies computational topic modeling to systematically examine the evolution of blockchain scholarship across disciplines and over time. By analyzing a large corpus of blockchain research, the study identifies dominant research themes, methodological trajectories, disciplinary convergence, and emerging areas of inquiry. The findings provide a structured map of the intellectual development of blockchain research and identify opportunities for greater methodological and interdisciplinary integration.
Keywords & Empirical Focus:
#Conference Paper
#NLP
#Topic Modeling
#Blockchain
Citation Formats
1-Click CopyMuhammad Nauman Shahid & Jungpil Hahn (2020). A Cross-Disciplinary Review of Blockchain Research Trends and Methodologies: Topic Modeling Approach. Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS-53). https://doi.org/10.24251/HICSS.2020.551