Big Data Analytics Capability
Information SystemsReliability: alpha 0.923 sample items
About this scale
A multi-item measure of organizational big-data-analytics capability across tangible (data, technology), human (skills), and intangible (data-driven culture) dimensions.
Sample item(s)
“Our organization has the technological infrastructure for big data analytics”
“Our employees have the analytics skills needed”
“Our culture is data-driven”
Reliability
Reported internal consistency: alpha 0.92. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Pair with AI capability and digital-transformation readiness.
Source & citation
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2017): Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, Vol. 70, pp. 356–365.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
Use it in your research
Need to check the reliability or psychometrics of this scale in your own data? Use the free DrAIStudio research tools:
Cronbach’s alpha calculator
All statistical calculators
Search the full Scale Atlas
Academic writing humanizer