Biases and heuristics in chatbot enabled everyday fashion rental in the UK
Rebecca Beech et al.
Abstract
Purpose This research presents a novel theoretical framework by examining chatbots in an under-explored context of everyday clothing rental. We apply an interdisciplinary lens, behavioural economics theory, nudge theory and choice architecture, to a marketing exploration, to simplify consumers’ decision-making. Design/methodology/approach Three focus groups and 28 interviews were conducted with UK consumers across two qualitative phases. Findings As shown in Figure 2, identifying rental barriers and drivers led to the development of four digital, four green nudges, boosts and sludges. This choice architecture is specifically designed to steer consumer behaviour towards everyday renting. Practical implications This study provides managerial implications for circular and non-profit companies by leveraging green and digital nudges to enhance choice architecture and consumer footfall. Policy implications suggest reforms for UK consumer laws, specifically proposing a “consumer warrant” to enforce sustainability transparency. Originality/value This paper offers novel insights into using nudge theory to shape consumer heuristics and decisions regarding everyday clothing rentals via chatbots. It introduces specific digital and green nudges designed to transform the consumer choice environment.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.16 × 0.4 = 0.06 |
| M · momentum | 0.53 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.