Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial

Recent research on partial least squares structural equation modeling (PLS–SEM) extended the classic importance–performance map analysis (IPMA) by taking the results of a necessary condition analysis (NCA) into consideration. By also highlighting necessary conditions, the combined importance–performance map analysis (cIPMA) offers a tool that enables better prioritization of management actions to improve a key target construct. In this article, we showcase a cIPMA’s main steps when using the SmartPLS 4 software. Our illustration draws on the technology acceptance model (TAM) used in the cIPMA’s original publication, which features prominently in business research.

Subjects

cIPMA

Importance–performance map analysis (IPMA)

Necessary condition analysis (NCA)

Partial least squares (PLS)

PLS–SEM

Structural equation modeling (SEM)

Technology acceptance model (TAM)

DDC Class

330: Economics

Lizenz

https://creativecommons.org/licenses/by/4.0/

Name

s41270-024-00325-y.pdf

Type

Main Article

Size

3.25 MB

Format

Adobe PDF

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Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial