Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/316665 
Year of Publication: 
2024
Citation: 
[Journal:] Journal of Marketing Analytics [ISSN:] 2050-3326 [Volume:] 12 [Issue:] 4 [Publisher:] Palgrave Macmillan [Place:] London [Year:] 2024 [Pages:] 746-760
Publisher: 
Palgrave Macmillan, London
Abstract: 
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)
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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