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The purpose of this paper is to present several opportunities that can emerge from using a multilevel approach to study the antecedents of export venture performance, and provide scholars with the conceptual and practical tools for developing multilevel models of export venture success.

Essay.

The paper shows the problems which scholars face if they continue to engage in using single venture data to test models that are inherently multilevel in nature.

There may be a need to revisit previous works that utilize samples of single ventures to assess models of export venture performance that are implicitly multilevel.

This paper outlines the practical issues that researchers need to consider when conducting multilevel research in the export venture performance field.

This paper is the first to focus on the multilevel nature of the export venture performance construct.

The purpose of this study is to explore the nature of the relationship between export customer responsiveness and export growth.

The study uses primary data obtained by questioning over 200 exporting firms. The model constructed predicts the export growth of those firms with export customer responsiveness data, together with a variety of moderator and control variables. The model is assessed using multiple regression.

Exporters with higher levels of export customer responsiveness often have higher export sales growth rates than those with lower levels of export customer responsiveness, but not always. For some firms, the opposite is true, such that those with lower levels of export customer responsiveness outperform those with higher levels.

The study is the first to provide export decision-makers with empirically grounded recommendations regarding (1) when it is advisable to have high export customer responsiveness levels and (2) those situations when firms may benefit from having lower export customer responsiveness levels.

This study aims to follow a rigorous approach to identify, critically analyze and synthesize 75 papers published from 2000 to 2022.

The study presents a systematic literature review on identity expressiveness (IE), clarifying and expanding what is currently known about the concept.

To synthesize current knowledge on IE, the study uses the overarching framework of antecedents-phenomenon-consequences, using this same framework to identify gaps and future research directions. The findings show individual and brand-related factors such as the need for uniqueness and anthropomorphism as antecedents of IE, and eWOM/WOM, impulse purchases and upgrading to more exclusive lines as consequences of IE.

The study contributes to theory by synthesizing and mapping current understanding of the state of knowledge on the concept of IE while highlighting gaps in the extant literature and paving future research directions for scholars in the field.

The study offers useful insights for practitioners, broadening marketers’ actionable options in identity-based marketing. Marketers can use insights from this study to inform marketing strategy and communication campaigns for different types of brands.

To the best of the authors’ knowledge, this study is the first of its kind and offers an integrative review of the current literature on IE, thus enhancing understanding of the concept, its antecedents and consequences. The study also contributes to knowledge by highlighting future research priorities for researchers in this field of enquiry.

This study aims to correct errors in, and comment on the claims made in the comment papers of Rigdon (2022) and Henseler and Schuberth (2022), and to tidy up any substantive oversights made in Cadogan and Lee (2022).

The study discusses and clarifies the gap between Rigdon’s notion of scientific realism and the metaphysical, semantic and epistemological commitments that are broadly agreed to be key principles of scientific realism. The study also examines the ontological status of the variables that Henseler and Schuberth claim are emergent using emergence logic grounded in the notion that variables are only truly emergent if they demonstrate a failure of generative atomism.

In scientific realism, hypothetical causal contact between the unobserved and the observed is a key foundational stance, and as such, Rigdon’s concept proxy framework (CPF) is inherently anti-realist in nature. Furthermore, Henseler and Schuberth’s suggestion that composite-creating statistical packages [such as partial least squares (PLS)] can model emergent variables should be treated with skepticism by realists.

Claims made by Rigdon regarding the realism of CPF are unfounded, and claims by Henseler and Schuberth regarding the universal suitability of partial least squares (PLS) as a tool for use by researchers of all ontological stripes (see their Table 5) do not appear to be well-grounded.

Those aspiring to do science according to the precepts of scientific realism need to be careful in assessing claims in the literature. For instance, despite Rigdon’s assertion that CPF is a realist framework, we show that it is not. Consequently, some of Rigdon’s core criticisms of the common factor logic make no sense for the realist. Likewise, if the variables resulting from composite creating statistical packages (like PLS) are not really emergent (contrary to Henseler and Schuberth) and so are not real, their utility as tools for scientific realist inquiry are called into question.

This study assesses PLS using the Eleatic Principle and examines H&S’s version of emergent variables from an ontological perspective.

The study aims to develop and test a model of export performance, focusing on the degree to which firms have different types of export flexibility and the degree to which firms adopt market‐oriented behavior in their export operations (i.e. their degree of export market‐oriented [EMO] behavior). Furthermore, the study seeks to examine the moderating roles that EMO behavior and export environment play with respect to the relationships between export flexibility dimensions and export performance.

The model is tested on a sample of 783 exporting firms. Data were collected via mail survey. Analysis was undertaken using structural equation modeling.

EMO behavior moderates the relationship between export flexibility and export sales performance. However, EMO behavior's moderating role differs depending on (a) the source of the export flexibility, and (b) the environmental conditions the firms face. Increasing levels of EMO behavior are associated with increased export sales performance under all conditions studied.

Reliance on cross‐sectional data may limit generalizability, as may the reliance on single country data. Additional sources of export flexibility should be modeled, as should more complex models of the export environment.

The findings identify several situations when EMO behavior is most beneficial and others where it is beneficial (but less so). Similarly, the results pinpoint situations where greater levels of export flexibility are a necessity. Managers should look to exploit this knowledge by enhancing EMO behavior and export flexibility.

This study is one of the very few that explicitly identifies export flexibility as a source of competitive advantage in the exporting literature. It is also the first study to suggest that EMO behavior's ability to shape export success is determined in part by other factors internal to the firm (e.g. export flexibility), as well as factors external to the firm (environment).

This study examines the issue of how export market‐oriented behaviors influence export success. Using survey data obtained from Hong Kong based manufacturing exporters, our findings suggest that export market‐oriented behaviors are important predictors of several dimensions of export performance. In particular, it appears that this behavior is most important for exporters operating under conditions of high environmental turbulence. The export market‐oriented behavior – export performance relationship for these firms, was generally positive and strong. However, under conditions of low environmental turbulence, the costs of developing and implementing high levels of export market‐oriented behavior may outweigh the benefits accrued.

This paper provides a balanced commentary on Rossiter’s paper “How to use C-OAR-SE to design optimal standard measures” in this issue of the “European Journal of Marketing”. It also relates the comments in general to Rossiter’s other C-OAR-SE work and throws light on a number of key measurement issues that seem under-appreciated at present in marketing and business research.

The authors use conceptual argument based on measurement theory and philosophy of science.

The authors find that Rossiter’s work makes a number of important points that are necessary in the current stage of development of marketing and social science. However, the authors also find that many of these points are also well made by fundamental measurement theories. When measurement theory is correctly interpreted, the idea of multiple measures of the same thing is not problematic. However, they show that existing social science measurement practice rarely takes account of the important issues at play here.

The authors show that marketing, management and social science researchers need to get better in terms of their appreciation of measurement theory and in their practices of measurement.

The authors identify a number of areas where marketing and social science measurement can be improved, taking account of the important aspects of C-OAR-SE and incorporating them in good practice, without needlessly avoiding existing good practices.

This study aims to determine whether partial least squares path modeling (PLS) is fit for purpose for scholars holding scientific realist views.

The authors present the philosophical foundations of scientific realism and constructivism and examine the extent to which PLS aligns with them.

PLS does not align with scientific realism but aligns well with constructivism.

Research is needed to assess PLS’s fit with instrumentalism and pragmatism.

PLS has no utility as a realist scientific tool but may be of interest to constructivists.

To the best of the authors’ knowledge, this study is the first to assess PLS’s alignments and mismatches with constructivist and scientific realist perspectives.