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Importance and performance in PLS-SEM and NCA : introducing the combined importance-performance map analysis (cIPMA)
Publikationstyp
Journal Article
Publikationsdatum
2024-05-01
Sprache
English
Enthalten in
Volume
78
Article Number
103723
Citation
Journal of Retailing and Consumer Services 78: 103723 (2024)
Publisher DOI
Scopus ID
Publisher
Elsevier Science
This research offers a novel approach that extends the application of importance-performance map analysis (IPMA) in partial least squares structural equation modeling (PLS-SEM) by incorporating findings from a necessary condition analysis (NCA). The IPMA comprises assessing latent variables and their indicators' importance and performance, while an NCA introduces an additional dimension by identifying factors that are crucial for achieving the desired outcomes. An NCA employs necessity logic to identify the must-have factors required for an outcome, while PLS-SEM follows an additive sufficiency logic to identify the should-have factors that contribute to high performance levels. Integrating these two logics into the performance dimension is particularly valuable for prioritizing actions that could improve the target outcomes, such as customer satisfaction and employee commitment. Although the combined use of PLS-SEM and NCA is a recent suggestion, this study is the first to combine them with an IPMA (i.e., in a combined IPMA; cIPMA). A case study illustrates the combined use of PLS-SEM and an NCA to undertake a cIPMA. This innovative approach enhances researchers' and practitioners' decision making, enabling them to prioritize their efforts effectively.
Schlagworte
cIPMA
Importance-performance map analysis
IPMA
NCA
Necessary condition analysis
Partial least squares
PLS
PLS-SEM
SEM
Structural equation modeling
DDC Class
330: Economics