Innovation Systems and Nano‐Macromolecular Translation: Market Structures, Behavioral Gaps, and Regional Asymmetries

ABSTRACT The commercialization of nanotechnology‐enabled macromolecular materials remains uneven despite strong scientific progress. This study reconceptualizes commercialization as a system‐mediated stage of translation and comparatively analyzes the United States, the European Union, and India. Using a systems‐oriented mixed‐methods design, the research integrates cross‐regional market‐structure data, firm‐level commercialization architectures, institutional configurations, and behavioral survey evidence. Results reveal pronounced asymmetries in product scale, certification intensity, ecosystem dependence, and revenue logic, despite broadly comparable scientific capabilities. Commercial activity converges toward structurally simpler morphologies, primarily nanoparticles and nanocomposites, and is dominated by business‐to‐business models, reflecting scale‐up and validation constraints. Behavioral analysis identifies persistent awareness–confidence and confidence‐commitment gaps that limit consumer‐driven demand. The findings demonstrate that commercialization outcomes are shaped less by intrinsic material performance and more by institutional alignment, validation infrastructure, and ecosystem maturity, positioning nanotechnology commercialization as a system‐conditioned process embedded within innovation architectures.

Authors

Publication Details

Journal
Macromolecular Symposia
Published
2026-10-15
DOI
https://doi.org/10.1002/masy.70500
Primary Topic
Nanotechnology research and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Innovation Systems and Nano‐Macromolecular Translation: Market Structures, Behavioral Gaps, and Regional Asymmetries

Mayank Punetha, Jainish Bhagat, Ankit Shah
Macromolecular Symposia
Nanotechnology research and applications
article

Innovation Systems and Nano‐Macromolecular Translation: Market Structures, Behavioral Gaps, and Regional Asymmetries

Mayank Punetha, Jainish Bhagat, Ankit Shah
article en

Abstract

ABSTRACT The commercialization of nanotechnology‐enabled macromolecular materials remains uneven despite strong scientific progress. This study reconceptualizes commercialization as a system‐mediated stage of translation and comparatively analyzes the United States, the European Union, and India. Using a systems‐oriented mixed‐methods design, the research integrates cross‐regional market‐structure data, firm‐level commercialization architectures, institutional configurations, and behavioral survey evidence. Results reveal pronounced asymmetries in product scale, certification intensity, ecosystem dependence, and revenue logic, despite broadly comparable scientific capabilities. Commercial activity converges toward structurally simpler morphologies, primarily nanoparticles and nanocomposites, and is dominated by business‐to‐business models, reflecting scale‐up and validation constraints. Behavioral analysis identifies persistent awareness–confidence and confidence‐commitment gaps that limit consumer‐driven demand. The findings demonstrate that commercialization outcomes are shaped less by intrinsic material performance and more by institutional alignment, validation infrastructure, and ecosystem maturity, positioning nanotechnology commercialization as a system‐conditioned process embedded within innovation architectures.

Macromolecular Symposia
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Nanotechnology research and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.