A Novel Neutrosophic Reliability and Variance Framework for Product Feature Trust Modeling the Digital Marketing Effectiveness in Cross-Border E-Commerce

Abstract

In cross-border digital marketing, product descriptions often present standardized 
attributes across diverse regions. However, customer perceptions of these attributes  such 
as durability, authenticity, or technical specifications—vary significantly across national 
and cultural contexts. This study introduces a novel statistical-neutrosophic framework 
to model the degree of trust, skepticism, and ambiguity that consumers assign to specific 
product attributes in different markets. We propose the Neutrosophic Cross-Border 
Attribute Reliability Estimation (NCBARE) model, which captures fragmented trust 
perceptions per feature per region. Furthermore, we develop the Neutrosophic Attribute 
Variance Influence Index (NAVII), a new metric that quantifies the volatility of attribute 
reliability across markets and its influence on campaign success. Through formal 
definitions, original equations, and worked examples, the study provides a full 
mathematical treatment of product feature uncertainty and its implications for 
international e-commerce strategy. 

DOI: 10.5281/zenodo.16754923