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

Sarstedt, Marko ; Richter, Nicole F. ; Hauff, Sven und Ringle, Christian M. (2024): Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial. In: Journal of Marketing Analytics [Forthcoming]

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.

• Item Type: Journal article
• Keywords: Partial least squares (PLS); structural equation modeling (SEM); importance–performance map analysis (IPMA); necessary condition analysis (NCA); combined importance–performance map analysis (cIPMA); technology acceptance model (TAM)
• Faculties: Munich School of Management > Institute for Marketing
• Subjects: 300 Social sciences > 330 Economics
• ISSN: 2050-3318
• Language: English