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

Author

Listed:
  • Marko Sarstedt

    (Ludwig-Maximilians-University Munich
    Babeş-Bolyai University)

  • Nicole F. Richter

    (University of Southern Denmark)

  • Sven Hauff

    (Helmut Schmidt University)

  • Christian M. Ringle

    (Hamburg University of Technology
    James Cook University)

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.

Suggested Citation

  • Marko Sarstedt & Nicole F. Richter & Sven Hauff & Christian M. Ringle, 2024. "Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 746-760, December.
    • Handle: RePEc:pal:jmarka:v:12:y:2024:i:4:d:10.1057_s41270-024-00325-y
    DOI: 10.1057/s41270-024-00325-y
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