Location and competition in retail banking

We investigate the impact of banking deregulation during the 1990s on consumer welfare. We estimate a spatial model of consumer demand for retail bank deposits that explicitly accounts for consumer disutility from distance traveled. This is important given the substantial changes in banks' branch networks observed in the data. Our model indicates that cross-price elasticities between banks whose branches are close to consumers (‘close’ banks) are larger than those between ‘far’ banks and more than double the cross-price elasticity of ‘close’ banks with respect to ‘far’ banks. We distinguish between thrifts and other banks and find that within-thrift competitive effects are stronger than within-bank effects or those between thrifts and banks. We use our estimates to predict the effect of changes in market structure on consumer welfare following the branching deregulation of the Riegle–Neal Act of 1994. Our results indicate that the median household gained around $60 per year from the changes. Approximately two thirds of the gains come from within-market changes in market structure. The gains were greater in markets with high initial numbers of banks than elsewhere.     

Advertising and Cultural Values: Reflections in the Distorted Mirror

This paper reviews the regrets and fears expressed by North American scholars about the commercialization of culture and presents a method for measuring the cultural character of advertising. This content analysis of manifest values yields a value profile of advertising and shows high consistency over time and across media. There is, however, a low correlation between this value profile and that of either the population at large or of heavy media users. This seriously challenges the conventional notion that advertising merely mirrors social values.     

Capturing the Evolution of Customer–Firm Relationships: How Customers Become More (or Less) Valuable Over Time

Few studies have examined the influence of marketing activities while accounting for customer dynamics over time. The authors contribute to this growing literature by extending the hurdle model to capture customer dynamics using a hidden Markov chain. We find our dynamic model performs better than static and latent class models. Our results suggest the customer base can be segmented into four segments: Deal-prone, Dependable, Active, and Event-driven. Each segment reacts differentially to marketing activities. Although catalogs influence both purchase incidence and the number of orders, this marketing activity has the largest impact on purchase incidence across all four segments. In contrast, retail promotions are more likely to influence the number of orders a customer will make for all of the segments except for the Deal-prone segment. For this segment, retail promotions have the strongest impact on purchase incidence.     

Marketing via smart speakers: what should Alexa say?

ABSTRACT

A smart speaker is a wireless device with artificial intelligence that can be activated through voice command. The artificial intelligence interacts in the form of a virtual personal assistant, such as Amazon’s “Alexa”. Companies are currently creating voice applications for smart speakers that allow consumers to use the personal assistant to perform tasks, such as acquiring information and ordering products. This is the dawn of a new type of interaction between brands and consumers, a new touchpoint. Brands need to catch the vision and create content for this new technology, content that is useful in the buying process. The purpose of this study is to determine what types of marketing messages people find acceptable on smart speakers. Based on the findings, a cognitive message strategy is effective with smart speakers. The paper presents three types of executional frameworks that are best suited for the design of a cognitive message: authoritative, testimonial, and slice-of-life. The overriding requirement for marketing on smart speakers is that the message must provide value to the listener.     

Hospital Marketing and Communications Via Social Media

Social media usage by health care organizations has increased dramatically. Findings from this research show that 95% of the top ranked hospitals use social media. The purpose of this study is to examine whether social media usage varies according to size of hospital and types of services provided. Since social media platforms appeal to different groups of people, this prompts the question of whether certain platforms are more appealing to people who partake in different health services. Findings reveal differences in social media usage depending on the services provided by a hospital.