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December 4, 2025Quality Innovation ProsperityOpen Access

Improving Quality of B2B Customer Satisfaction Using Innovative Predictive Model

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Authors

KDKarel DoubravskýIŠIveta Šimberová

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Overview

Analysis reveals a predictive model enhances B2B customer satisfaction, suggesting fuzzy logic can aid decision-making.

Key Points

  • Satisfaction improves with predictive model focusing on quality factors like website navigation and design.
  • Key strategies formed show a transition from declining satisfaction to growth using a dynamic approach.
  • Assessment using a numerical correlation matrix highlights past states and future potentials for managing satisfaction.
  • Model addresses Quality 5.0 challenges, suggesting strategic simulation to guide decision-making in data-limited scenarios.

Cite This Study

Doubravský et al. (2025) studied this question.

synapsesocial.com/papers/6930dc6bea1aef094cca1f71https://doi.org/10.12776/qip.v29i3.2262
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