Knowledge that Transforms

AbstractCustomer experience is a key marketing concept, yet the growing number of studies focused on this topic has led to considerable fragmentation and theoretical confusion. To move the field forward, this article develops a set of fundamental premises that reconcile contradictions in research on customer experience and provide integrative guideposts for future research. A systematic review of 136 articles identifies eight literature fields that address customer experience. The article then compares the phenomena and metatheoretical assumptions prevalent in each field to establish a dual classification of research traditions that study customer experience as responses to either (1) managerial stimuli or (2) consumption processes. By analyzing the compatibility of these research traditions through a metatheoretical lens, this investigation derives four fundamental premises of customer experience that are generalizable across settings and contexts. These premises advance the conceptual development of customer experience by defining its core conceptual domain and providing guidelines for further research.

AbstractIn the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice, the authors propose a multidimensional framework for understanding the impact of AI involving intelligence levels, task types, and whether AI is embedded in a robot. Prior research typically addresses a subset of these dimensions; this paper integrates all three into a single framework. Next, the authors propose a research agenda that addresses not only how marketing strategies and customer behaviors will change in the future, but also highlights important policy questions relating to privacy, bias and ethics. Finally, the authors suggest AI will be more effective if it augments (rather than replaces) human managers.