GfK Marketing Intelligence Review

Aims & Scope

TheNIM Marketing Intelligence Reviewis a leading global journal for marketing decision makers. It offers marketing knowledge from well-known academic think tanks all over the world, and focuses on all aspects of marketing intelligence enabling more effective marketing decision making. TheNIM Marketing Intelligence Review (NIM MIR)is a leading global journal for marketing decision makers. It offers marketing knowledge from well-known academic think tanks all over the world, and focuses on all aspects of marketing intelligence enabling more effective marketing decision making. The NIM MIR uses practical and accessible language, supported by professional journalists who "translate" academic papers and focus on practical insights. We publish articles that contribute new and often fascinating knowledge, on a wide range of marketing-related topics, such customer behavior, brand management, AI integration, new technologies, sustainability, virtual reality, retailing, data analysis or decision making techniques. All articles are intensively reviewed from an academic as well as a practical perspective. Our mission is to present high-quality articles by renowned scholars whose work has appeared in leading academic marketing journals, thereby allowing readers to follow the progress of marketing science in a rapidly evolving society. We further work with professional designers to present insights in attractive designs. The NIM MIR is directed at top level marketing managers and executives and marketing instructors interesting in the latest marketing concepts and managerial marketing insights. The NIM MIR is managed by a team of managers and marketing scholars from universities all over the world (See editorial board). Each issue has a special topic and is edited by a leading researcher in the respective field.The journal is published biannually in May and October of each year.ISSN of the printed edition: ISSN 1865-5866

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

Subject Classification