Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, which has become an integral component of regression analysis applications. This lack of attention is surprising, given that the PLS-SEM method is grounded in regression analysis for which numerous approaches for handling endogeneity have been proposed. To identify and treat endogeneity, and create awareness of how to deal with this issue, this study introduces a systematic procedure that translates control variables, instrumental variables, and Gaussian copulas into a PLS-SEM framework. We illustrate the procedure's efficacy by means of empirical data, and offer recommendations to guide international marketing researchers on how to effectively address endogeneity concerns in their PLS-SEM analyses.

A higher degree of digitalization in new ventures' product/ service offerings and their processes can lead to a faster time to market and the ability to rapidly scale. Hence, it has the possibility to significantly impact the performance. To increase the degree of digitalization in new ventures, they can implement a digital strategy. Currently there is no evidence if this measure has a strong impact on the degree of digitalization. We therefore empirically investigate the influence of a digital strategy on the degree of digitalization in new ventures' products/ services and processes. We analyzed 102 new ventures using SEM. Building on the contingency theory, we show that only having a digital strategy is insufficient to achieve a high degree of digitalization. The digitalization of products/services is partially mediated by digital IT capabilities, and the effect of digital strategy on process digitalization is partially mediated by digital IT capabilities and a digital culture.

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