Many thanks to Professors Marko Sarstedt, Manfred Schwaiger, and Charles R. Taylor, Volume 22 has assembled a set of outstanding articles addressing the methodological issues in international marketing research. Readers should find these articles informative and valuable. In addition to these articles on the special topic of international marketing research methods, a regular article is included in Volume 22. Advances in International Marketing encourages innovative research and “out-of-the-box” research ideas in international marketing. In future volumes, it will continue to promote special topic-based volumes, while also publishing “regular” papers that are reviewed outside of the themed volumes. The regular papers must show innovative research that addresses any significant issues in international marketing and should be submitted to the Series Editor.
“Garbage in, garbage out” is a common expression that academics and practitioners use to emphasize that empirical analysis is only as good as the basis on which it relies…
“Garbage in, garbage out” is a common expression that academics and practitioners use to emphasize that empirical analysis is only as good as the basis on which it relies. Although the importance of sound data and valid measures has long been acknowledged, it is nevertheless often problematic to follow required quality standards in concrete research situations. Potential sources of error are usually unknown, methods to ensure data quality are unavailable, and existing methods for scale development, index construction, data collection, and data analysis are insufficient or erroneously applied. This is especially true of international marketing research, which often makes great demands on the data and measures used, as well as on the research methodology applied. Against this background, this volume addresses issues pertaining to measurement and research methodology in an international marketing context. Thanks to the efforts of authors and reviewers, we are pleased to present nine articles that deal with cutting-edge topics such as formative measurement, response-bias in cross-cultural research, marketing efficiency measurement, and segmentation methods.
The purpose of this paper is to examine the value‐relevance of corporate reputation during times of crisis. The paper seeks to extend the view beyond the traditional focus…
The purpose of this paper is to examine the value‐relevance of corporate reputation during times of crisis. The paper seeks to extend the view beyond the traditional focus on the cognitive component of reputation, shed light on its affective component, and integrate the perceptions of different stakeholder groups.
The paper uses two large‐scale surveys, one from before and one from after the financial crisis year of 2008, to ascertain the reputation evaluations of the largest publicly listed corporations in Germany. The paper employs a model augmented with standard accounting variables (i.e. sales, return on assets, etc.) to analyse the link between corporate reputation as noted by different stakeholder groups and future firm value.
Even though corporations are not able to elude the overall negative impact of an economic crisis, the magnitude of influence depends on the individual firm dynamics as related to the firm's reputation. In particular, firm value dynamics are significantly associated with a reputation's affective component as perceived by the general public and its cognitive component as perceived by opinion leaders.
The paper analyses only very large corporations in Germany over a limited period of time.
Managers cannot influence the course of a trans‐national crisis, but they can immunise their company against its impacts by managing financial and non‐financial drivers of firm reputation within the various stakeholder groups.
The paper extends previous research on the value‐relevance of corporate reputation by exploring the roles of different stakeholder groups' perceptions of the affective and cognitive component of reputation.
Theory has made many assumptions about the consequences of a “good” corporate reputation. The aim of this paper is to provide evidence of the effect of a positive…
Theory has made many assumptions about the consequences of a “good” corporate reputation. The aim of this paper is to provide evidence of the effect of a positive corporate reputation on the firm's future financial performance by means of a more differentiated concept of reputation than the one commonly used in literature.
In contrast to prior research, reputation is conceptualised by means of a two‐dimensional approach. Therefore, two distinct reputational components are hypothesised as affecting financial performance differently. A large‐scale representative survey of 30 of the largest German firms is conducted to gain reputational evaluations of these firms. The overall assessment of reputation is differentiated into a part that is explained by past financial performance and an idiosyncratic part to control for the effect of past performance on today's reputation. Finally, the idiosyncratic effect of reputation on future performance is assessed with an econometric model.
Both the cognitive and the affective reputational dimension significantly influence future financial performance after controlling for past performance. Furthermore, the results suggest that the decompositional model outperforms a non‐decompositional approach in terms of goodness of fit.
There is only a limited possibility to generalise the results to all firms.
The results imply a need for differentiated reputation management, since the cognitive and affective components of corporate reputation drive financial performance differently.
The two‐dimensional reputational approach broadens prior research with a focus on the differences in performance – the effects of both the reputational components.
Purpose – Marketers are under increasing pressure to demonstrate the financial return associated with marketing expenditures. Concurrently, more attempts at measuring…
Purpose – Marketers are under increasing pressure to demonstrate the financial return associated with marketing expenditures. Concurrently, more attempts at measuring return on investment from marketing as well as achieving other long-term goals such as building brand equity and increasing shareholder value have been made. As a result of this emphasis, the degree to which advertising budgets are spent efficiently and the impact of these expenditures on the bottom line are an important topic to study.
Methodology/approach – This study applies data envelopment analysis (DEA) to a group of large firms to assess the degree to which companies spend advertising dollars efficiently and to examine the impact of advertising efficiency on investor behavior and, ultimately, stock prices.
Findings – The analysis reveals that firms that advertise more efficiently are rewarded by investors by positive stock returns.
Research limitations/implications (if applicable) – The study is limited to large enterprises with strong brands within a time frame of only four years.
Practical implications (if applicable) – The results imply that it is advisable for marketing managers not to limit their focus to increasing market-based assets at any cost. The efficiency of their efforts can send a positive signal to investors and contribute to shareholder value enhancement.
Originality/value of the chapter – The chapter finds investors to pay attention not only to the effectiveness of advertising activities but also to their efficiency. The study also demonstrates how DEA and stock return response modeling can be combined to investigate the link between advertising efficiency and investor behavior.
Purpose – Partial least squares (PLS) path modeling has become a pivotal empirical research method in international marketing. Owing to group comparisons' important role…
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.