Andrew Smith

Innovative marketers can now leverage augmented reality to craft immersive brand experiences, create more interactive advertising, and enable consumers to experience products and spaces in novel ways. Augmented reality (AR) is the practice of displaying digital information over people’s real-time view of objects, people, or spaces in the physical world. While AR can play a valuable role in integrated marketing programs, little is known about the practice and how to execute effective AR programs in the marketplace. We address this gap and discuss a framework that describes the active and passive ingredients of augmented reality. We describe the basic design decisions that marketers need to make when planning an augmented reality campaign. We also explain how understanding and addressing the dynamics between various active and passive AR ingredients can help marketers to optimize their AR campaigns and enhance various types of consumer engagement: user-brand engagement, user-user engagement, and user-bystander engagement. Through our framework and analysis, we develop eight actionable recommendations for marketing managers. We advise marketers to follow the ENTANGLE acronym to design immersive AR experiences that maximize consumer engagement.

Using theories of sensegiving and sensemaking, I explore how people engage in word-of-mouth about stocks, which are conceptualized as epistemic objects. I draw on netnographic and interview data related to an online investment community, and find that people employ five broad types of word-of-mouth strategies – framing, cuing, connecting, action facilitating, and
unsettling – in giving sense about epistemic objects. I also identify the ways in which audiences respond to this form of word-of-mouth, as a part of a collective sensemaking process, and find that their responses pertain to the speaker, the account, as well as their own behavior. Finally, I develop propositions that describe the relationships between sensegiving word-of-mouth strategies and the responses they elicit. This research makes a number of conceptual contributions. It develops the concept of discursive response, an important component of networked word-of-mouth and a manifestation of engagement, and identifies the word-of-mouth strategies associated with higher volumes and types of discursive response. It generates knowledge about word-of-mouth processes.  It also provides learning about collective sensemaking and sensegiving. Along with these contributions, this research offers important insights for managers and public policy makers, such as how to elicit online engagement and assist in the collective sensemaking process.

This study tests hypotheses regarding differences in brand-related user-generated content (UGC) between Twitter (a microblogging site), Facebook (a social network) and YouTube (a content community). It tests them using data from a content analysis of 600 UGC posts for two retail-apparel brands
(Lululemon and American Apparel), which differ in the extent to which they manage social media proactively. Comparisons are drawn across six dimensions of UGC; the dimensions were drawn from a priori reading and an inductive analysis of brand-related UGC. This research provides a general framework for comparing brand-related UGC, and helps us to better understand how particular social media channels and marketing strategies
may influence consumer-produced brand communications.