Consumer Switching Behavior in Digital Services

Consumer switching behaviour in digital services refers to the processes and motivations by which users abandon one online platform or application in favour of another. This phenomenon has become central to understanding competition in sectors such as finance, retail, education and entertainment. Theoretical models emphasise three broad forces: push factors, which drive dissatisfaction with incumbent services; pull factors, which attract consumers to new offerings; and mooring factors, which mediate individual capacity and contextual constraints. Key influences include perceived service quality, user experience design, personal innovativeness and social norms. Switching behaviour carries profound implications for service providers seeking to retain customers and for policymakers aiming to accelerate adoption of public-interest digital services. The interplay of network externalities, switching costs and habit formation shapes both the likelihood and the timing of consumer migration across competing digital ecosystems.

Research from Nature Portfolio

Recent studies have extended models of technology acceptance to reveal how fairness perceptions, habitual use, social influence and cultural identity shape the shift from traditional payment mechanisms to central bank digital payments. Using an augmented acceptance framework, researchers demonstrated that perceived fairness and established habits exert direct effects on adoption, while social influence reinforces usage intentions. Moreover, national identity was shown to moderate risk perceptions and habitual pathways, emphasising that consumer migration to novel payment platforms is embedded within broader institutional and cultural contexts. These findings inform efforts to design inclusive and trustworthy digital currency systems that facilitate seamless migration from incumbent payment services.

Consumer Switching Behavior in Digital Services publication trend

The graph below shows the total number of articles in consumer switching behavior in digital services across all publications each year (not limited to Nature Index journals).

Technical terms

Push–Pull–Mooring theory: A framework that explains switching behaviour through push factors (dissatisfaction), pull factors (attractions) and mooring factors (personal and contextual constraints).

Switching intention: A user’s stated likelihood of abandoning one service in favour of an alternative.

Conversational agent: An interactive software system designed to simulate human dialogue using natural language processing.

Structural equation modelling: A statistical technique for testing complex relationships between observed and latent variables.

References

1. Extending UTAUT with national identity and fairness to understand user adoption of DCEP in China. Scientific Reports (2022).
2. Chatbots or me? Consumers’ switching between human agents and conversational agents. Journal of Retailing and Consumer Services (2023).
3. Switch or Stay? Applying a Push–Pull–Mooring Framework to Evaluate Behavior in E-Grocery Shopping. Sustainability (2023).
4. Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory. Sustainability (2021).