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

Marko Sarstedt (), Nicole F. Richter, Sven Hauff and Christian M. Ringle
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Marko Sarstedt: Ludwig-Maximilians-University Munich
Nicole F. Richter: University of Southern Denmark
Sven Hauff: Helmut Schmidt University
Christian M. Ringle: Hamburg University of Technology

Journal of Marketing Analytics, 2024, vol. 12, issue 4, No 2, 746-760

Abstract: 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.

Keywords: cIPMA; Importance–performance map analysis (IPMA); Necessary condition analysis (NCA); Partial least squares (PLS); PLS–SEM; Structural equation modeling (SEM); Technology acceptance model (TAM) (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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DOI: 10.1057/s41270-024-00325-y

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