Rodney Thomas, Stephanie Thomas, Molly Rapert, Brent Williams, Andy Murray
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引用次数: 0
Abstract
A retail media network (RMN) is an advertising driven business model that leverages first party data and closed loop reporting to sell enhanced opportunities to market products to consumers through online and offline retailer-owned platforms. Growth of this new phenomenon is robust as retailers increasingly recognize the benefits of additional revenue streams, higher margins, increased omnichannel sales, and enhanced consumer engagement. Extant literature is limited in this domain thus providing an opportunity to define RMNs, trace the evolutionary origins of the approach, and identify the differentiators that drive performance results. This research leverages exploratory qualitative methodology to develop a grounded theory based on the experiences of industry professionals. Essential capabilities emerged from the data and helped conceptualize an overall value stream framework. Results suggest the most successful RMNs will efficiently and effectively manage buyer–seller relationship inversion, first party data access, closed loop reporting validity, personalization and privacy balance, and trust. These strategic insights have meaningful implications for retailing theory, practice, and policy.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.