Journal of Engineering and Management in Industrial System
Vol. 13 No. 2 (2025): In Process

INTEGRATION OF NUDGING-BASED KANSEI ENGINEERING AND HUMAN-CENTERED DESIGN: A CONCEPTUAL FRAMEWORK IN HEALTHCARE SERVICE

Hartono, Markus (Unknown)



Article Info

Publish Date
08 Dec 2025

Abstract

This study presents a conceptual framework for the modification of Kansei Engineering (KE), incorporating nudging-enabled features with human-centered design (represented by Design Thinking (DT) methodology) principles applied in healthcare services. Kansei Engineering (KE) and Nudge Theory (NT) have a similar goal of influencing and directing users’ behavior and intentions based on the fulfillment of their critical needs. KE focuses on translating customer emotional needs into design parameters, whereas NT stresses changing customer behavior using indirect instructions and positive reinforcements. Once emotional satisfaction is obtained, it is hoped that positive behavior will be promoted. Addressing customers' emotional demands combined with nudge-based features in patients’s healthcare service experiences is a strategic necessity that can result in considerable commercial benefits. Healthcare that creates positive emotional connections can improve patient happiness, inspire loyalty, and build a strong, differentiated brand in a competitive environment. More importantly, it may boost patient recovery rates and promote more sustainability practices in hospitals or healthcare domains for a long-term period. Hence, this study introduces a novel integrated framework that combines KE, NT, and DT to align emotional satisfaction with behavioral outcomes in healthcare service design, particularly in developing emotionally and behaviorally supportive strategies for non-critical patient care.

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Journal Info

Abbrev

jemis

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Journal of Engineering and Management in Industrial System is a peer reviewed journal. The journal publishes original papers at the forefront of industrial and system engineering research, covering theoretical modeling, inventory, logistics, optimizations methods, artificial intelligence, bioscience ...