| Quality measurement strategies for information services and information technology (IS/IT) projects gauge complex system functions and relationships; therefore, they require a systematic approach. This requirement is amplified by the ostensibly conceptual nature of information processes and data. Using logical models for the selection of Lean and Six Sigma (LSS) descriptive and analytical tools limits the scope of tool choices, enabling meaningful pairings of tools with processes. Although technology improvement research, inventions, and case study evidence corroborate claims that critical-to-quality data dimensions and information processes are measured, effective approaches to tool selection and applications are arguably absent. To bridge this gap, causal-comparative evidence of the use of IS/IT and LSS models is presented to suggest a systematic tool selection method. To be fully realized, this method needs to accommodate numerous and dissimilar IS/IT processes; therefore, its viability is contingent upon continuous refinements and relevant testing. |
