The Use of Partial Least Squares Path Modeling in International Marketing

By Jörg Henseler, Christian M. Ringle, Rudolf R. Sinkovics. 2009

1,042 citations recorded by the source corpus.

In order to determine the status quo of PLS path modeling in international marketing research, we conducted an exhaustive literature review. An evaluation of double-blind reviewed journals through important academic publishing databases (e.g., ABI/Inform, Elsevier ScienceDirect, Emerald Insight, Google Scholar, PsycINFO, Swetswise) revealed that more than 30 academic articles in the domain of international marketing (in a broad sense) used PLS path modeling as means of statistical analysis. We assessed what the main motivation for the use of PLS was in respect of each article. Moreover, we checked for applications of PLS in combination with one or more additional methods, and whether the main reason for conducting any additional method(s) was mentioned.

Subfields: Management Information Systems, Marketing, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/24824343a450dc4ce00ed618e680e431968ea558

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

In Marketing

In Organizational Behavior and Human Resource Management

Citations in the corpus

Home and away: cross-contextual consistency in tourists’ pro-environmental behavior (2020, neutral): “The explained variance (R(2)) coefficients of the endogenous constructs were examined (Henseler et al., 2009): R(2) indicates the model’s in-sample explanatory power.”
Structural Equation Modeling in Information Systems Research Using Partial Least Squares (2010, methodology): “Accordingly, both significant and insignificant formative indicators should be kept in the measurement model as long as this is conceptually justified (Henseler et al. 2009).”
Incorporating Formative Measures into Covariance-Based Structural Equation Models (2011, neutral): “Focusing initially on the formative indicators, a comparison of Table 5 and Table 6 indicates that the addition of the new outcome variable, η 4 , has not materially changed the influence of the four indicators on η 1 ; as was the case with the three construct model, only x 1 , x 3 , and x 4 return…”
Developing and analyzing framework for understanding the effects of GSCM on green and economic performance (2018, neutral): “As suggested by Henseler et al. (2009) that Q2 values above 0 indicated that values are well reconstructed and that the model has predictive relevance.”
On being attractive, social and visually appealing in social media: The effects of anthropomorphic tourism brands on Facebook fan pages (2018, neutral): “The results indicate that Cohen’s effect size ƒ 2 values are above .02, which indicates satisfactory effects for the endogenous latent constructs (Henseler, Ringle, & Sinkovics, 2009).”
Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions (2018, methodology): “To establish predictive criteria, we use the Stone-Geiss r’s Q2 (Geisser, 1975; Henseler et al., 2009; Stone, 1974), which was measured using a blindfolding technique in which all endogenous values that are positive are considered predictive (Wold, 1982).”
The role of inspiring role models in enhancing entrepreneurial intention (2019, background): “The table illustrates that the remaining three indices also show acceptable values exceeding the cut-off thresholds, namely, 0.7 and 0.5 for the internal reliability and convergent validity of reflective respectively (Henseler, Ringle, & Sinkovics, 2009; Mackenzie, Podsakoff, & Podsakoff, 2011).”
Modeling the efficacy of persuasive strategies for different gamer types in serious games for health (2014, neutral): “PLS is a prediction-oriented approach to SEM that has less stringent requirements concerning data distribution assumptions (Henseler et al. 2009).”
How smartphone advertising influences consumers' purchase intention (2019, methodology): “5 to be considered sufficient and explain more than half of the variance of its indicators on average (Henseler et al., 2009; Hair and Anderson, 2010).”
When to use and how to report the results of PLS-SEM (2019, methodology): “25 can be considered substantial, moderate and weak (Henseler et al., 2009; Hair et al., 2011).”
Revisit intention and satisfaction: The role of destination image, perceived risk, and cultural contact (2020, background): “The values of Q2 were between 0.308–0.401, all above the required value of zero (Henseler et al., 2009).”