Purpose The purpose of this paper is to systematically review the body of work featured in the International Journal of Wine Business Research (IJWBR) since its transition from the International Journal of Wine Marketing (IJWM) in 2007, and to assess the collective evolution of the topical structure of published research against the Journal’s aims as described in the inaugural editorial. Design/methodology/approach A scientometric study using both network analysis and narrative methods was used to evaluate the research contents of the IJWBR. Findings Results lead to four conclusions. Overall, the research published in IJWBR has met the editorial aim of expanding beyond the marketing focus of IJWM. Second, the Journal has become increasingly international in its approach to research activities, both in terms of authorship and sites of study. Third, the methods used in the study of wine business have advanced from descriptive univariate to more complex or predictive multivariate approaches. Finally, despite all of these desired advances, research grounded in marketing and consumer behavior perspectives still predominates the Journal. Originality/value This is the first review of IJWBR to use a scientometric method; and this paper provides a description and assessment of progress made toward the publishing goals first envisioned for the Journal at its transition from IJWM to IJWBR.

There is a growing use of actor-network theory (ANT) throughout management and organization studies. While earlier ANT research used ethnography to "follow the actors" in the production of organization/knowledge, more recent studies use archival sources to examine developments over time. We extend the latter approach using qualitative social network analysis (SNA) and apply this to a case study of the Atlantic Schools of Business (ASB). Our contribution is two-fold: first, through an examination of actors in the ASB networking processes over 26 years, we demonstrate how the seemingly stable surface of an organization can hide the precariousness of organizing; second, we reveal the potential fusion of ANT with SNA as a method for dealing with large qualitative datasets over long periods of time.

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