Buyer Behavior in Personalized Shopping Environments

One of the most exciting aspects of electronic shopping environments (such as online stores) is that they allow firms to create personalized customer interfaces. That is, user interfaces of commercial web sites can be designed to be adaptive to the specific interests, needs, and preferences of individual shoppers at particula

With a little help from my peers

\u3cp\u3eHow can recommender interfaces help users to adopt new behaviors? In the behavioral change literature, nudges and norms are studied to understand how to convince people to take action (e.g. towel re-use is boosted when stating that '75% of hotel guests' do so), but what is advised is typically not personalized. Most recommender systems know what to recommend in a personalized way, but not much research has considered how to present such advice to help users to change their current habits. We examine the value of presenting normative messages (e.g. '75% of users do X') based on actual user data in a personalized energy recommender interface called 'Saving Aid'. In a study among 207 smart thermostat owners, we compared three different normative explanations ('Global', 'Similar', and 'Experienced' norm rates) to a non-social baseline ('kWh savings'). Although none of the norms increased the total number of chosen measures directly, we show evidence that the effect of norms seems to be mediated by the perceived feasibility of the measures. Also, how norms were presented (i.e. specific source, adoption rate) affected which measures were chosen within our Saving Aid interface.\u3c/p\u3

Consumer decisions with artificially intelligent voice assistants

Consumers are widely adopting Artificially Intelligent Voice Assistants (AIVAs). AIVAs now handle many different everyday tasks and are also increasingly assisting consumers with purchasing decisions, making AIVAs a rich topic for marketing researchers. We develop a series of propositions regarding how consumer decision-making processes may change when moved from traditional online purchase environments to AI-powered voice-based dialogs, in the hopes of encouraging further academic thinking and research in this rapidly developing, high impact area of consumer-firm interaction. We also provide suggestions for marketing managers and policymakers on points to pay attention to when they respond to the proposed effects of AIVAs on consumer decisions

Choice under restrictions

Choice, Restrictions, Constraints,