Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results

Streukens, Sandra; Leroi‐Werelds, Sara

doi:10.1016/j.emj.2016.06.003

Cited by 658 publications

(405 citation statements)

References 47 publications

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“…To create intervals of confidence and t-values, we used bootstrapping (4000 re samples) to check for imagined associations between the concerned constructs of the planned structured model. Streukens, S., et al [82] stated that bootstrap replications can vary considerably from a minimum of 500 to a maximum of 5000.In other words, statistic inconsistency is checked using the inconsistency of data using bootstrapping, which is a nonparametric resampling method, instead of using parametric statements to check the accuracy of approximation [83]. Efron, B., et al [84] proposed using more than 1000 bootstrap samples.…”

Section: Structured Model Assessmentmentioning

confidence: 99%

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Yasir

Ahmad

et al. 2020

IJERPH

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Although social presence plays an essential role under general conditions, its role becomes significant for societal protection during the quarantine period in epidemic outbreak. In this study, we attempted to identify the role of E-government and COVID-19 word of mouth in terms of their direct impact on online social presence during the outbreak as well as their impacts mediated by epidemic protection and attitudes toward epidemic outbreaks. For this purpose, a unique multi-mediation model is proposed to provide a new direction for research in the field of epidemic outbreaks and their control. Through random sampling, an online survey was conducted and data from 683participants were analyzed. Partial least squares structural equation modeling was used to test the relationships between the variables of interest. The study results revealed that the roles of E-government and COVID-19 word of mouth are positively related to online social presence during the outbreak. Epidemic protection and attitude toward epidemic outbreak were found to positively moderate the impact of the role of E-government and COVID-19 word of mouth on online social presence during the outbreak. The key findings of this study have both practical and academic implications. health protection. This phenomenon encouraged us to formulate a theoretical model based on social presence theory and the role of social media to help examine safety and participation in quarantine. The conceptual model is presented in Figure 1.Word of mouth can be defined as "the intention to share a certain story using one's own social media account" [2]. Many researchers proved that communication has more of an impact through social media with regards to different health issues, and message sharing was found to be the best predictor of emotive and passionate response [3]. Online health information is regularly updated [4]. Nowadays, universal and worldwide flow cannot be ignored [5] and search engines are the most effective method to find information [6]. The Internet is also a useful source for people in the medical field for discussions and interactions about medical issues [7]. A nine-year big data study showed that the use of computers projected emotive improvement [8]. From the health protection point of view, many factors were found to affect the dispersal of cancer information, including anxiety, courage, anticipation, and sharing of experience [9].A study proved that the gestation time of infection (corona virus) was assessed at about 2-14 days [7]. So, a research question was raised about protection during an epidemic outbreak. Social media campaigns with complete research frameworks with theoretical and statistical support for these time periods are essentially to protect society during emergencies. To address this need, our research model includes the factors that trigger safety campaigns and the main effects (direct) of direct relations and the association of mediators on online social presence.The literature shows that for different disease management programm...

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Section: Structured Model Assessmentmentioning

confidence: 99%

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Yasir

Ahmad

et al. 2020

IJERPH

View full text Add to dashboard Cite

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“…To assess discriminant validity, according to Fornell and Larcker [79], we calculated the average variance extracted (AVE) for all of the constructs that obtained values higher than the limit of 0.50. To test the hypotheses, we used the nonparametric bootstrap resampling technique [80], which provides values for both the standard error and Student's t-test. In particular, in order to calculate the path coefficient's significance, we applied this technique to 500 sub-samples using a two-tailed Student's t distribution with n-1 degrees of freedom, where n is the number of sub-samples.…”

Section: Resultsmentioning

confidence: 99%

The Challenge to Foster Foreign Students’ Experiences for Sustainable Higher Educational Institutions

Palacios

Hernández

2018

Sustainability

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While most companies are developing strategies that focus on responsibility and sustainability, recent discussions in higher educational institutions query the contribution of university social responsibility. Based on the theory of stakeholders and the new strategic paradigm of universities becoming sustainable corporations, the purpose of this paper is to determine Erasmus students' opinions on their experiences abroad, as they relate to the importance they attribute to their emotions, and their relationship with and loyalty to their host university's country as a tourism destination. The method inquired into Erasmus students' impressions when studying in Spain through an ad hoc questionnaire based on academic literature and the Delphi technique. Survey data was analyzed through an exploratory factor analysis and partial least squares structural equation modeling. The study is a first attempt at analyzing experiential marketing in Erasmus students, who we considered tourists. The results support experiential marketing as a key approach for achieving sustainability in universities. The paper draws attention to the need for institutions to be more aware of the needs of foreign students as important stakeholders when designing mobility programs, as well as suggestions on how this awareness can be cultivated, in order to contribute to the consolidation of the selected country as a tourism destination.

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“…In the following section, we present the results of the PLS modeling, considering that we followed strict recommendations in order to guarantee the rigor and the richness of the description of data analysis (Chin, 2010;Peng & Lai, 2012;Richter et al, 2016;Streukens & Leroi-Werelds, 2016 …”

Section: Methodsmentioning

confidence: 99%

Section: Structural Modelmentioning

confidence: 99%

“…This estimation is gathered through a resampling procedure that assesses the variability within sample data (Peng & Lai, 2012;Streukens & Leroi-Werelds, 2016). For our model, we adopted a consistent number of bootstrap samples (J=10,000) for improving the level of accuracy of the estimations (Streukens & Leroi-Werelds, 2016). We assessed the explained variance (R²) and StoneGeisser test (Q²>0) through blindfolding procedure (omission distance D=7) for evaluating the predictive power of the structural model (Figure 2), as well as path coefficient (β), effect size (f²), confidence intervals, t-value and p-value of each path (Table 4) in order to support or refute our hypotheses and assess their explanatory power (Chin, 2010;Evermann & Tate, 2016;Peng & Lai, 2012;Richter et al, 2016 Regarding variance explained (R²) we adopted the cut-off value of 0.10, with values between 0.19 and 0.33 considered weak explanation, values between 0.33 and 0.67 considered moderate explanation, and values higher than 0.67 considered strong explanation (Peng & Lai, 2012;Streukens & LeroiWerelds, 2016).…”

Section: Structural Modelmentioning

confidence: 99%

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Exploring Risk Perception and Degree of Internationalization of Brazilian Small-and-Medium Enterprises

Bonfim

Silva

Prado

et al. 2018

BAR, Braz. Adm. Rev.

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This research investigates managerial risk perception regarding internationalization of small and medium-sized enterprises in the Brazilian context. We examine how managers' perception of risk influences firms' degrees of internationalization. Likewise, we assessed how risk perception is influenced by managers' cognitive traits, such as tolerance for ambiguity and cognitive style. We provided empirical evidence for the relationships we proposed through a partial least squares structural equation model with data gathered from a survey of 149 SMEs from the State of Paraná, Brazil. Our results suggest that managers' tolerance for ambiguity is only significant for explaining risk perception for the managers with a preference for a deliberative style. Still, the research suggests that the Brazilian SMEs in our sample presented a higher degree of internationalization even when their managers perceived higher levels of risk.

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Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results

Cited by 658 publications

References 47 publications

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

The Challenge to Foster Foreign Students’ Experiences for Sustainable Higher Educational Institutions

Exploring Risk Perception and Degree of Internationalization of Brazilian Small-and-Medium Enterprises

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