We apply Social Network Analysis (SNA) to editorial review board membership data of 38 journals in the Operations and Technology Management list of the Academic Journal Quality Guide of the (UK) Association of Business Schools. The journals are grouped in to seven interest groups (communities) based on their network connections and attributes examined for the groups. Review board members are shown to be overwhelmingly male, affiliated to business schools and USA-based institutions. A key network feature is the strong connections between eight journals belonging to the logistics and supply chain area that surprisingly includes the Journal of Operations Management