Loyalty Formation for Different Customer Journey Segments

TL;DR: In this paper, a framework for customer segmentation for overall products and major online-focused product categories, which reflect dynamic purchasing needs in multiple channels, using latent class cluster analysis and focusing on demographic characteristics, is presented.

TL;DR: In this paper, the authors provide a purposeful overview of research in the field of digital transformation with a focus on retailing and customer-facing functions of digital technologies such as managing customer journeys, assessing the impact of sensory marketing and the use of service robots, and their strategic implications for business models such as servitization.

TL;DR: In this article , a conceptual framework for B2B customer journeys is presented, connecting the concept with goal-oriented buying and usage center members, placing equal importance on the purchase and usage stages of the journey and acknowledging its iterative nature and embeddedness in relationships.

TL;DR: In this article , the authors outline four consumer-retailer domains relevant to digital communication, which in turn frame their discussion of the properties of communication dynamics (e.g., trends, variations) within messages, communicators, and their interaction, as well as communication multimodality.

TL;DR: In this article, the authors aim to develop a stronger understanding of customer experience and the customer journey in this era of increasingly complex customer behavior by examining existing definitions and conceptualizations of customer experiences as a construct.

TL;DR: Brand experience is conceptualized as sensations, feelings, cognitions, and behavioral responses evoked by brand-related stimuli that are part of a brand's design and identity, packaging, communications, and environments.

TL;DR: In this paper, a cardinal utility theory with an associated set of axioms is presented, which is a generalization of the von Neumann-Morgenstern expected utility theory, which permits the analysis of phenomena associated with the distortion of subjective probability.

TL;DR: This article discusses alternatives to single-step mixture modeling for latent class predictor variables in several different settings, including latent class analysis, latent transition analysis, and growth mixture modeling.