Platforms · Cluster analysis and decision-tree analysis of firm profiles.
Developing the Profiles of Business Analytics Adopters and Non-Adopters using Data Mining Tools
Journal of Computer Information Systems · 2021
Summary
Adopter profiles are characterized using firm size, organizational readiness, financial resources, and IT expertise/infrastructure; the study offers implementation-oriented profiles.
For your marketing
Possible founder application
Build ICP and onboarding segments around readiness, resources, IT capability, and size; use the profile variables to anticipate implementation friction.
Reported result
What the study found
Adopter profiles are characterized using firm size, organizational readiness, financial resources, and IT expertise/infrastructure; the study offers implementation-oriented profiles.
Research question
What the authors investigated
What firm characteristics distinguish business-analytics adopters from non-adopters?
Design
Cluster analysis and decision-tree analysis of firm profiles.
Sample and setting
224 Korean firms representing various industry sectors.
Scope and transfer
Limitations to keep in view
The Korean, cross-sectional firm sample and profiling design limit transferability and do not establish causal effects.
Research sources
Fetched Missouri S&T repository abstract establishes authors, DOI link, 224-firm Korean sample, analytical design, variables, and stated practical contribution; fetched Taylor & Francis page establishes publisher landing page. Firecrawl research job 01a1436c-f86b-77df-af1c-9a2f87e3535e returned this citation and metadata.