Consumer Innovativeness and Adoption Behavior
Summary
Consumer innovativeness describes the tendency of individuals to seek out and employ new products, services or experiences ahead of their peers. Research in this field examines how personal traits, motivational drivers and contextual factors combine to shape adoption behaviour. Distinct dimensions of innovativeness – such as functional, cognitive, hedonic and social – influence how consumers learn about innovations, evaluate their perceived value and translate interest into purchase intentions. The diffusion of innovation is affected by both individual predispositions and external cues, including visibility of the innovation, guidance or support structures, cultural norms and interpersonal interactions. Studies have also emphasised the moderating role of demographic variables, income or product knowledge in strengthening or weakening the link between innovativeness and adoption. Overall, consumer innovativeness research provides insights into the psychological and social mechanisms that underpin the uptake of technologies, services and novel experiences, with direct implications for marketing strategy, product design and policy interventions to accelerate sustainable or equitable diffusion.
Research from Nature Portfolio
No recent Nature Portfolio content available.
Research from all publishers
Recent work has shown that global product learning mediates the impact of multiple innovativeness dimensions on purchase of international brands. In a study of Japanese consumers, cognitive, social and hedonic innovativeness were found to influence global purchasing indirectly, while proactive engagement by store managers amplified the effect of learning on actual buying behaviour. Another strand of enquiry has applied diffusion of innovation theory to emerging technologies. A survey of Chinese users of high-speed communications uncovered that the visibility of the technology and the availability of usage guidance foster consumers’ intrinsic innovativeness, which in turn drives intention to adopt 5G services; environmental awareness and safety concerns were shown to mediate this relationship. In the context of artificial intelligence, research on intelligent personal assistants has revealed that customer innovativeness and perceived value are pivotal for loyalty. Perceived value emerged as a direct predictor of repeat usage, while product knowledge and corporate image moderated the influence of both functional and hedonic innovativeness on satisfaction and ongoing engagement.
Consumer Innovativeness and Adoption Behavior publication trend
The graph below shows the total number of articles in consumer innovativeness and adoption behavior across all publications each year (not limited to Nature Index journals).
Technical terms
Consumer innovativeness: A personality trait reflecting a consumer’s propensity to seek out and experiment with new products or services.
Motivated consumer innovativeness: The component of innovativeness driven by specific psychological needs or aspirations, such as hedonic enjoyment or social recognition.
Diffusion of Innovations (DOI) theory: A framework explaining how, why and at what rate new ideas and technologies spread through populations.
Perceived value: The consumer’s overall assessment of a product’s utility based on perceptions of benefits relative to costs.
Early adopter: A consumer segment characterised by willingness to embrace innovations ahead of the majority, often influencing broader diffusion.
References
- Relationships among consumer innovativeness, learning, and global product purchases: Store manager perspectives in retailing. Journal of Retailing and Consumer Services (2025).
- Modeling consumer’s innovativeness and purchase intention relationship regarding 5G technology in China. Frontiers in Environmental Science (2022).
- Analyzing Determinants for Adoption of Intelligent Personal Assistant: An Empirical Study. Applied Sciences (2021).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.