Applying Multigroup Analysis in PLS-SEM: A Step-by-Step Process

Matthews, Lucy

doi:10.1007/978-3-319-64069-3_10

Cited by 208 publications

(215 citation statements)

References 40 publications

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“…Particularly, the percentile below 5% indicates that the bootstrapping results of group A are higher than those of group B. The percentile above 95% shows that the results of group B are higher than those of group A [75].…”

Section: Multi-group Analysismentioning

confidence: 94%

Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Wang

Sun

et al. 2019

Sustainability

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This paper aims to examine the determinants of green purchasing intentions among different resident groups in a developing-country context. We first expand the theory of planned behaviour (TPB) and build a theoretical model based on green purchasing intention, including attitude, perceived behavioural control, subjective norms, environmental concern, habit, and socio-demographic characteristics (i.e., age, gender, residential area, and educational level). Following this, we collect 552 questionnaires from residents in Tianjin Municipality, China. We use partial least squares structural equation modelling (PLS-SEM) to analyse the green purchasing intention of the population sample and then employ a multi-group analysis (MGA) to explore the group differences in residents' green purchasing intention. The results show that green purchasing intention is significantly and positively influenced by attitude, perceived behavioural control, subjective norms, and environmental concern but not by habit. The relationship chain of environmental concern→subjective norms→purchasing intention is the strongest. The results of the MGA show that for residential-area groups, the relationships between attitudes, perceived behavioural control, and habits and purchasing intention differ significantly between the downtown group and the outside-the-city group. For the educational-level groups, the relationship between environmental concern and subjective norms differs significantly between the high-education group and the low-education group. Finally, these findings contribute to the literature on the TPB model on green purchasing intention and provide some suggestions for the local government and green marketers.

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Section: Multi-group Analysismentioning

confidence: 94%

Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Wang

Sun

et al. 2019

Sustainability

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“…First, the SRMR, d ULS and d G of group 1 are 0.025, 0.032, 0.057, and group 2 are 0.045, 0.056, and 0.045 which means the overall goodness of fit of two groups' model was verified. And the results of Table 4 also provide clear support for the measures' reliability and validity [66].…”

Section: Partial Least Squares Multi Analysis (Pls-mga): the Moderatimentioning

confidence: 54%

“…A permutation test was set at 5000 samples, and the test type was set as two-tailed with a significance level of 0.05. As shown in Table 7, the original correlations are equal to or greater than the 5.00% quantile correlations (shown in the 5% column), indicating that compositional invariance has been demonstrated for all the constructs [66]. The data in the mean original difference column fall within the 95% CI, and the permutation p-values are greater than 0.05, indicating that the construct passes the variance test.…”

Section: Partial Least Squares Multi Analysis (Pls-mga): the Moderatimentioning

confidence: 83%

“…Our method of PLS-MGA followed that of Matthews [66]. First, the SRMR, d ULS and d G of group 1 are 0.025, 0.032, 0.057, and group 2 are 0.045, 0.056, and 0.045 which means the overall goodness of fit of two groups' model was verified.…”

Section: Partial Least Squares Multi Analysis (Pls-mga): the Moderatimentioning

confidence: 95%

“…Second, we use the measurement invariance of composite models (MICOM) procedure to test the measurement invariance for all groups. Configural invariance was fulfilled since the measurement models for the two groups meet the three requirements of "identical indicators per measurement model, identical data treatment, and identical algorithm settings criteria" [66]. Then, a permutation test was executed to verify compositional invariance.…”

Section: Partial Least Squares Multi Analysis (Pls-mga): the Moderatimentioning

confidence: 99%

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The Effect of Customer Participation Types on Online Recovery Satisfaction: A Mental Accounting Perspective

shao

2018

Future Internet

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With the high popularity of the Internet, online trading has gradually replaced the traditional shopping model and extended to every corner of social life. However, online trading cannot avoid failures; thus, understanding how firms can best recover customers in online contexts to keep customer loyalty is very important. This study investigates the mechanisms by which customer participation types (physical, mental, and emotional) promote customers’ perceived justice and post-recovery satisfaction from a mental accounting perspective. Furthermore, the moderating effects of two modes of online apology speech acts (direct and indirect) on customer participation and perceived justice are investigated. A total of 1083 Chinese tourists who have purchased a Wi-Fi rental service in the past year were contacted according to the database provided by two travel agencies, and 329 stated having experienced an online recovery service and participated in the survey; 297 valid questionnaires were collected. Among them, 48.82% were males and 51.18% females. Most of the respondents were aged 20–35 years. By carrying out data analysis by partial least squares structural equation modeling (PLS-SEM) using SmartPLS, the results show that, first, only mental and physical participation can enhance perceived justice, while emotional participation does not influence perceived justice. Second, the positive influence of mental participation on perceived justice is most significant. Third, only when the service staff adopts the indirect mode to express an online apology, mental and physical participation can enhance perceived justice.

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Unveiling synergies: Business intelligence nexus with environmental and financial performance in Bangladeshi manufacturing firms

Rahman,

Abdul Kader Jilani

2024

Bus Strat Dev

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In recent years, the rise in the utilization of business intelligence (BI) as a pivotal tool for enhancing economic performance has spurred considerable interest. This study, anchored in resource‐based theory, delves into the intricate relationships among BI, environmental performance (EP), financial performance (FP), green accounting (GA), and energy efficiency (EE) within manufacturing firms in Bangladesh. Employing a multistage stratified random sampling technique, a structured questionnaire was administered to 368 participants over 5 months starting in June 2023. The study employs a comprehensive analytical method that includes disjoint two‐stage PLS‐based structural equation modeling, artificial neural networks, and fuzzy set qualitative comparative analysis to ensure robust and insightful results. The findings highlight the positive and significant impact of BI on EP, FP, GA, and EE for manufacturing firms, demonstrating the efficacy of BI in driving improvements across environmental and financial metrics. Notably, the study unveils the mediating effects of EE between GA and FP, as well as between BI and FP, emphasizing the crucial role of EE in bolstering financial outcomes. Moreover, EP emerges as a mediator between BI and GA, underscoring the connectedness of these constructs within the organizational frame. Pioneering in offering a BI‐integrated concepts for environmental and FP, exploring mediating effects, and applying the integrated modeling approach, this research provides theoretical insights and practical implications, offering valuable guidance for stakeholders aiming to leverage BI strategies effectively.

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Applying Multigroup Analysis in PLS-SEM: A Step-by-Step Process

Cited by 208 publications

References 40 publications

Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

The Effect of Customer Participation Types on Online Recovery Satisfaction: A Mental Accounting Perspective

Unveiling synergies: Business intelligence nexus with environmental and financial performance in Bangladeshi manufacturing firms

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