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

Sabri Ahmad, Wan Mohamad, Asyraf Bin, W. Afthanorhan
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引用次数: 35

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.
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用Smartpls 2.0 M3进行偏最小二乘结构方程建模(PLS-SEM)中的重要性-性能矩阵分析
重要绩效矩阵分析法(IPMA)是一种广泛应用于顾客满意管理的分析技术。IPA是一个基于顾客满意度重要性和表现的二维网格。然而,本文打算以志愿者为研究对象,以确定外生变量和内生变量之间的关系强度可以推导到什么程度。作为教学理论和过去的实证研究,属性水平的表现和重要性具有相关性和显著性。这些发现揭示了IPA在开展志愿服务项目方面的能力。利用SmartPLS 2.0的偏最小二乘结构方程建模,给出了不对称关系的重要性和性能。进一步表明,利益因素是激励建立的重要因素和表现。
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