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After expressing an initial disquiet about the nature of many studies that are published using structural equation modelling (SEM), a rationale for using the technique is provided. Given the advantages provided by the technique, the differences between covariance-based and partial least squares techniques are briefly described. The argument progresses by indicating assumptions behind the techniques and what it is that referees require before being able to properly referee the paper. Some issues are fundamental to survey-based materials and include the requirement to distinguish between importance and discriminatory power, and the over-dependency on cross-sectional analysis when making claims of generalisation. Other issues of scale creation and sample size are touched upon. This paper finishes by suggesting a checklist for referees who are asked to review papers using SEM.

This paper aims at understanding the role of customer inspiration in driving loyal (versus competitive) showrooming behaviour and positive word of mouth towards a retailer.

This paper designed a model of customer inspiration in the showrooming context and tested it with data from more than 600 showroomers.

Showroomers are inspired in-store by salesperson quality and offline-to-online integration services. Inspired-by is positively related to inspired-to, which in turn drives loyal showrooming behaviour and positive word of mouth.

This paper develops the construct of customer inspiration in an omnichannel context and uncovers novel antecedents and consequences. The outcome provides useful implications for retailers in dealing with showroomers, with the aim of increasing their loyalty.