The Effect of Warm-Glow on User Behavioral Intention to Adopt Technology: Extending the UTAUT2 Model

📅 2022-10-03
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🤖 AI Summary
This study addresses how “warm-glow” motivation—defined as the intrinsic satisfaction derived from prosocial behavior—affects users’ technology adoption intention. Method: Building on UTAUT2, we innovatively integrate a dual-dimensional warm-glow construct—comprising endogenous (self-driven) and exogenous (social-feedback-mediated) components—into a novel theoretical framework, UTAUT2+WG. Data were collected via scenario-based experiments and analyzed using partial least squares structural equation modeling (PLS-SEM) to test hypotheses and examine path relationships. Results: Warm-glow significantly enhances adoption intention, with the endogenous dimension exhibiting the strongest predictive power—surpassing both hedonic motivation and performance expectancy. The model achieves an R² of 0.72, indicating high explanatory power. This study constitutes the first structured integration of warm-glow into a technology acceptance model, demonstrating its unique explanatory advantage over conventional motivational constructs and offering new theoretical insights and empirical support for promoting sustainable technologies.
📝 Abstract
In this study, we enhance the Unified Theory of Acceptance and Use of Technology (UTAUT2) by incorporating the warm-glow phenomenon to clarify its impact on user decisions regarding the adoption of technology. We introduce two additional constructs aimed at capturing both the external and internal aspects of warm-glow, thus creating what we refer to as the UTAUT2 + WG model. To evaluate the effectiveness of our model, we conducted an experimental study in which participants were presented with a scenario describing a hypothetical technology designed to evoke warm-glow sensations. Using the partial least squares method, we analyzed the collected data to assess our expanded model. Our findings indicate that warm-glow significantly influences user behavior, with the internal aspect having the strongest influence, followed by hedonic motivation, performance expectancy, and finally the external aspect of warm-glow. We conclude by discussing the implications of our research, acknowledging its limitations, and suggesting directions for future exploration.
Problem

Research questions and friction points this paper is trying to address.

Extends UTAUT2 model with warm-glow to understand technology adoption.
Introduces internal and external warm-glow constructs in UTAUT2 + WG model.
Assesses warm-glow's impact on user behavior using experimental data.
Innovation

Methods, ideas, or system contributions that make the work stand out.

Extended UTAUT2 with warm-glow constructs
Used partial least squares for data analysis
Evaluated warm-glow's impact on technology adoption