A study on the adoption of IoT smart home service: using Value-based Adoption Model
Abstract
This study aims to comprehensively examine the adoption of smart home service. A new model combining VAM (Value-based Adoption Model) and TAM (Technical Acceptance Model) was developed and analysed with a set of variables from Unified Theory of Acceptance and Use of Technology and Elaboration Likelihood Model.
Overview
This highly-cited research (481 citations) examines the adoption factors of IoT smart home services through an integrated theoretical framework combining multiple adoption models.
Research Framework
We developed a comprehensive model integrating:
- VAM (Value-based Adoption Model)
- TAM (Technology Acceptance Model)
- UTAUT (Unified Theory of Acceptance and Use of Technology)
- ELM (Elaboration Likelihood Model)
Methodology
- Sample: Smart home service users and potential adopters
- Analysis: Structural equation modeling (SEM)
- Variables: Perceived usefulness, ease of use, perceived value, social influence, facilitating conditions
Key Findings
Value Perception Factors
- Perceived Usefulness: Strong positive effect on adoption intention
- Perceived Ease of Use: Significant mediating role
- Perceived Value: Critical determinant of adoption decision
Social and Contextual Factors
- Social Influence: Moderate effect on adoption intention
- Facilitating Conditions: Enable actual usage behavior
- Trust: Essential foundation for smart home adoption
Theoretical Contributions
- Integration of multiple adoption theories for comprehensive understanding
- Identification of unique characteristics of IoT smart home services
- Validation of value-based approach in IoT context
Practical Implications
- Service providers should focus on demonstrating tangible value
- Ease of installation and use are critical for market penetration
- Building trust through security and privacy protection is essential
Impact
With 481 citations, this paper has become a foundational reference in IoT and smart home adoption research, widely cited in technology acceptance and innovation diffusion studies.
Publication Details
Journal: Total Quality Management & Business Excellence
Impact Factor: 3.9 (Q1)
Citations: 481
DOI: 10.1080/14783363.2017.1310708