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The Importance-Performance Matrix Analysis in Partial Least Square Structural Equation Modeling (PLS-SEM) with Smartpls 2.0 M3

Author

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  • Sabri Ahmad
  • Wan Mohamad Asyraf Bin Wan Afthanorhan

Abstract

The Important-Performance Matrix Analysis (IPMA) is widely used in analytical technique that yields prescription for the management of customer satisfaction. IPA is a two-dimensional grid based on importance and performance of customer satisfaction. Yet, this paper intend to use the volunteers as a research subject to identify to what extent the strength of the relationship between exogenous and endogenous variable that can be derived. As pedagogical theoretical and past empirical studies, attribute level of performance and importance is relevance and significant. These finding reveals the capabilities of IPA towards a volunteerism program. Using Partial Least Square Structural Equation Modeling with SmartPLS 2.0, the asymmetric relationship importance and performance is provided. Futhermore, it shown that benefits factor is a major importance and performance for establishing Motivation.

Suggested Citation

  • Sabri Ahmad & Wan Mohamad Asyraf Bin Wan Afthanorhan, 2014. "The Importance-Performance Matrix Analysis in Partial Least Square Structural Equation Modeling (PLS-SEM) with Smartpls 2.0 M3," International Journal of Mathematical Research, Conscientia Beam, vol. 3(1), pages 1-14.
    • Handle: RePEc:pkp:ijomre:v:3:y:2014:i:1:p:1-14:id:2167
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    Cited by:

    1. Summaira Malik & Muhammad Taqi & José Moleiro Martins & Mário Nuno Mata & João Manuel Pereira & António Abreu, 2021. "Exploring the Relationship between Communication and Success of Construction Projects: The Mediating Role of Conflict," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    2. Pilawa, Joanna & Witell, Lars & Valtakoski, Aku & Kristensson, Per, 2022. "Service innovativeness in retailing: Increasing the relative attractiveness during the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).

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