Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/316665 
Erscheinungsjahr: 
2024
Quellenangabe: 
[Journal:] Journal of Marketing Analytics [ISSN:] 2050-3326 [Volume:] 12 [Issue:] 4 [Publisher:] Palgrave Macmillan [Place:] London [Year:] 2024 [Pages:] 746-760
Verlag: 
Palgrave Macmillan, London
Zusammenfassung: 
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.
Schlagwörter: 
cIPMA
Importance–performance map analysis (IPMA)
Necessary condition analysis (NCA)
Partial least squares (PLS)
PLS–SEM
Structural equation modeling (SEM)
Technology acceptance model (TAM)
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