Customer retention

Machine learning

Conceptual model

Service quality

Conceptual framework

Sociology

Business

Dynamics (music)

Psychology

Marketing

Extant taxon

Chemistry

Pedagogy

Sample (material)

Consumer behaviour

Affect (linguistics)

Service (business)

Customer experience

Customer advocacy

Social science

Computer science

Voice of the customer

Chromatography

Communication

Knowledge management

Customer intelligence

Structural equation modeling

Database

Evolutionary biology

Biology

Customer relationship management

Computers in Human Behavior

Increased use of smart technologies by customers is leading to recognition of their influence on the shopping experiences of customers by practitioners. However, the academic literature fails to acknowledge the influence of smart technology usage, combined with behavioural intention of the customer, on the dynamics and experience of customers. This research utilises explanatory research at the preliminary stage to examine this phenomenon in a retail setting. A conceptual framework was created, based on the scholarly knowledge available in extant literature, and was tested using a survey of a convenience sample of 330 consumers shopping in a high-end retail store in London, United Kingdom. Structural Equation Modelling (SEM) via AMOS was employed to test the proposed model. This study contributes to technology adoption based consumer behaviour literature, by explaining the ability of learning commitment to drive the participation of an individual, but its inability to influence their behavioural intention. Findings of this research also reflect on the role of customer dynamics and customer experience in embracing innovative application of smart technologies in a retail setting. The results and implications included in our study also contribute to the understanding of the determinants that affect customer dynamics and customer experience when making use of smart technologies.

Investigating the effects of smart technology on customer dynamics and customer experience