Matching Items (3)
Description
We apply a Bayesian network-based approach for determining the structure of consumers' brand concept maps, and we further extend this approach in order to provide a precise delineation of the set of cognitive variations of that brand concept map structure which can simultaneously coexist within the data. This methodology can operate with nonlinear as well as linear relationships between the variables, and utilizes simple Likert-style marketing survey data as input. In addition, the method can operate without any a priori hypothesized structures or relations among the brand associations in the model. The resulting brand concept map structures delineate directional (as opposed to simply correlational) relations among the brand associations, and differentiates between the predictive and the diagnostic directions within each link. Further, we determine a Bayesian network-based link strength measure, and apply it to a comparison of the strengths of the connections between different semantic categories of brand association descriptors, as well as between different strategically important drivers of brand differentiation. Finally, we apply a precise form of information propagation through the predictive and diagnostic links within the network in order to evaluate the effect of introducing new information to the brand concept network. This overall methodology operates via a factorization of the joint distribution of the brand association variables via conditional independence properties and an application of the causal Markov condition, and as such, it represents an alternative approach to correlation-based structural determination methods. By using conditional independence as a core structural construct, the methods utilized here are especially well- suited for determining and analyzing asymmetric or directional beliefs about brand or product attributes. This methodology builds on the pioneering Brand Concept Mapping approach of Roedder John et al. (2006). Similar to that approach, the Bayesian network-based method derives the specific link-by-link structure among a brand's associations, and also allows for a precise quantitative determination of the likely effects that manipulation of specific brand associations will have upon other strategically important associations within that brand image. In addition, the method's precise informational semantics and specific structural measures allow for a greater understanding of the structure of these brand associations.
ContributorsBrownstein, Steven Alan (Author) / Reingen, Peter (Thesis advisor) / Kumar, Ajith (Committee member) / Mokwa, Michael (Committee member) / Arizona State University (Publisher)
Created2013
Description
Color as a communication medium plays an important role in conveying meaning. It has been identified as a major element in marketing and advertising, and has shown to influence consumer's emotions (Labrecque & Milne, 2012). Despite the large volume of color-centered research, the literature on the subject remains largely abstract and unreliable. Academic research on the impact of color on brand personality it is still in its early stages of investigation, and therefore fragmented and inadequate. The goal of this study is to identify and visually represent patterns of association between colors and specific brand personality traits. We hypothesized that such patterns exist, although the exact associations are difficult to predict. If such patterns are found, they can assist in creating a valuable design tool with wide range of applications in product design, manufacturing, and marketing.
ContributorsToteva, Maya (Author) / Branaghan, Russell (Thesis advisor) / Gray, Rob (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2017
Description
ABSTRACT
This research is focused on technology in the arts, social media, and the opera singer. Topics include recent performance trends, social media, marketing techniques, and creating a successful brand. This paper also focuses on how to leverage social media platforms build a digital persona, and create an engaged audience. The same techniques used by corporations and opera companies for their social media and marketing strategy can be leveraged to increase brand awareness, build a strong network, and may aid in generating new opportunities for the opera singer.
Key Words: Social Media, Opera Singer, Branding, Marketing, Technology
This research is focused on technology in the arts, social media, and the opera singer. Topics include recent performance trends, social media, marketing techniques, and creating a successful brand. This paper also focuses on how to leverage social media platforms build a digital persona, and create an engaged audience. The same techniques used by corporations and opera companies for their social media and marketing strategy can be leveraged to increase brand awareness, build a strong network, and may aid in generating new opportunities for the opera singer.
Key Words: Social Media, Opera Singer, Branding, Marketing, Technology
ContributorsJones, Jennifer E. (D.M.A.) (Author) / Kopta, Anne Elgar (Thesis advisor) / Mills, Robert (Committee member) / Rogers, Rodney (Committee member) / Dreyfoos, Dale (Committee member) / Arizona State University (Publisher)
Created2016