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Economic globalization is leading large companies to focus on international strategic management. Nowadays, the assets referred to as “corporate intangibles,” such as corporate reputation, are becoming increasingly important because they are considered a key factor for the viability of an organization, and companies therefore need to incorporate them into their scorecards for management. The problem is that their measurement is subjective and latent. These two characteristics impede direct international comparison and require demonstrating the accuracy of comparison via a minimum of two tests – construct equivalence and metric equivalence. As regards corporate reputation, construct equivalence was verified by Naomi Gardberg (2006). However, the subsequent studies did not address metric equivalence. Based on the results of a survey provided by the Reputation Institute (n = 5,950, 50 firms evaluated in 17 countries in the Americas, Europe, Asia and Australia), the degree of RepTrak metric equivalence has been tested, using two different methodologies, multigroup analysis (structural equation model), and a new technique from 2016, the Measurement Invariance of Composite Model procedure from the Partial Least Square Path Modeling family. As one would expect from other cross-cultural studies, reputation metrics do not meet the full metric equivalence, which is why they require standardization processes to ensure international comparability. Both methodologies have identified the same correction parameters, which have allowed validation of the mean and variance of response style by country.

This study investigates the determinants of students’ intention to major in accounting (IMA) in pre-recessionary, recessionary, and post-recessionary time periods. By examining four factors (perceived professional ethics (PE), job market consideration (JMC), social influence (SI), and self-efficacy (SE)) in accordance with the theory of planned behavior (TPB), we address two primary research questions. The first question concerns whether the four factors are related to students’ IMA before, during, and after the recession. The second deals with whether there is a shift in the relative importance of the factors between the pre-recessionary, recessionary, and post-recessionary periods. We use structural equation modeling and multigroup analysis of structural invariance to analyze these issues. The results show that all four factors have significant structural weights in each period, with the exception of perceived PE in the pre-recessionary period. In terms of students’ IMA over the three periods, perceived PE, JMC, and SI become factors of greater importance during the recessionary and post-recessionary periods, while SE decreases in relative importance.

Purpose – Partial least squares (PLS) path modeling has become a pivotal empirical research method in international marketing. Owing to group comparisons' important role in research on international marketing, we provide researchers with recommendations on how to conduct multigroup analyses in PLS path modeling.

Methodology/approach – We review available multigroup analysis methods in PLS path modeling and introduce a novel confidence set approach. A characterization of each method's strengths and limitations and a comparison of their outcomes by means of an empirical example extend the existing knowledge of multigroup analysis methods. Moreover, we provide an omnibus test of group differences (OTG), which allows testing the differences across more than two groups.

Findings – The empirical comparison results suggest that Keil et al.'s (2000) parametric approach can generally be considered more liberal in terms of rendering a certain difference significant. Conversely, the novel confidence set approach and Henseler's (2007) approach are more conservative.

Originality/value of paper – This study is the first to deliver an in-depth analysis and a comparison of the available procedures with which to statistically assess differences between group-specific parameters in PLS path modeling. Moreover, we offer two important methodological extensions of existing research (i.e., the confidence set approach and OTG). This contribution is particularly valuable for international marketing researchers, as it offers recommendations regarding empirical applications and paves the way for future research studies aimed at comparing the approaches' properties on the basis of simulated data.

This study extends the budgetary participation–performance/cultural effects literature by isolating and examining the moderating effect of one cultural dimension, power distance, on the budgetary participation–performance relationship. Isolating the impact of power distance is important to this literature because of the fact that participative budgeting remains a possibly underutilized management tool in high power distance countries.

We regroup our multinational sample of managers by power distance level, and employ multigroup structural equation modeling (SEM) and a set of nonparametric bootstrap tests to triangulate our findings.

We find that the majority of our managers from three high power distance countries (Mexico, Korea, and China) score in the lower half of the power distance scale, that there is significant correlation between participation and performance in both the high and low power distance subsamples, but that the mechanisms connecting participation to performance are quite different. While job satisfaction plays a role in connecting budgetary participation and performance among low power distance managers, job relevant information alone connects budgetary participation and performance among their high power distance counterparts.

The primary contribution of our work is that we not only demonstrate that budget participation can improve the performance of subordinate managers in high power distance cultures, but also provide evidence of how and why this is plausible. First managers may not share the same high power distance tendencies of their countrymen, and second, the communication aspect of budget participation appears to be more important for increased performance among those with high power distance tendencies.

There is currently a great deal of attention in psychometric and statistical methods on ensuring measurement invariance when examining measures across time or populations. When measurement invariance is established, changes in scores over time or across groups can be attributed to changes in the construct rather than changes in reaction to or interpretation of the measurement instrument. When measurement in not invariant, it is possible that measured differences are due to the measurement instrument itself and not to the underlying phenomenon of interest. This chapter discusses the importance of establishing measurement invariance specifically in postsecondary settings, where it is anticipated that individuals' perspectives will change over time as a function of their higher education experiences. Using examples from several measures commonly used in higher education research, the concepts and processes underlying tests of measurement invariance are explained and analyses are interpreted using data from a US-based longitudinal study on bioscience PhD students. These measures include sense of belonging over time and across groups, mental well-being over time, and perceived mentorship quality over time. The chapter ends with a discussion about the implications of longitudinal and group measurement invariance as an important conceptual property for moving forward equitable, reproducible, and generalizable quantitative research in higher education. Invariance methods may further be relevant for addressing criticisms about quantitative analyses being biased toward majority populations that have been discussed by critical theorists engaging quantitative research strategies.