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Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial
Citation Link: https://doi.org/10.15480/882.13753
Publikationstyp
Journal Article
Date Issued
2024-06-04
Sprache
English
TORE-DOI
Journal
Volume
12
Issue
4
Start Page
746
End Page
760
Citation
Journal of Marketing Analytics 12 (4): 746-760 (2024)
Publisher DOI
Scopus ID
Publisher
Palgrave Macmillan
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
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Name
s41270-024-00325-y.pdf
Type
Main Article
Size
3.25 MB
Format
Adobe PDF