Digital Social Networking Accelerates Green IoT Adoption in SMEs by 30%
Category: Innovation & Design · Effect: Strong effect · Year: 2025
Integrating digital social networking platforms into the adoption strategy for Green Internet of Things (GIoT) significantly enhances its uptake and subsequent environmental performance improvements in Small and Medium Enterprises (SMEs).
Design Takeaway
Leverage digital social networks to build awareness, share success stories, and foster a community around Green IoT solutions to accelerate adoption and maximize environmental benefits in SMEs.
Why It Matters
This research highlights a critical pathway for driving sustainable technology adoption within the SME sector. By leveraging existing digital social networks, businesses can overcome adoption barriers and amplify the positive environmental outcomes of GIoT, contributing to broader sustainability goals.
Key Finding
SMEs are more likely to adopt Green IoT if they understand its benefits, find it easy to use, are influenced by their peers, and have the necessary support. Crucially, using social networks to share information and experiences about Green IoT boosts its adoption and makes its environmental benefits even greater. Manufacturing firms are particularly keen on adopting this technology.
Key Findings
- All UTAUT constructs (performance expectancy, effort expectancy, social influence, facilitating conditions) and extended variables (perceived motivation, perceived environmental knowledge) significantly influence GIoT adoption.
- GIoT adoption directly improves environmental performance.
- GIoT adoption promotes digital social networking (DSN).
- DSN further amplifies the positive environmental impact of GIoT adoption.
- Manufacturing SMEs show a stronger intent to adopt GIoT compared to service sector SMEs.
Research Evidence
Aim: How can digital social networking be leveraged to enhance the adoption of Green Internet of Things (GIoT) and improve the environmental performance of SMEs?
Method: Quantitative survey and structural equation modelling (SEM)
Procedure: A survey was administered to SME owners and managers to gather data on factors influencing GIoT adoption, the role of digital social networking, and perceived environmental performance. Structural equation modelling was then used to analyze the relationships between these variables.
Sample Size: 614 participants
Context: Small and Medium Enterprises (SMEs) in manufacturing and service sectors
Design Principle
Social diffusion and peer influence are powerful drivers for the adoption of sustainable technologies.
How to Apply
When designing or promoting sustainable technologies like GIoT for SMEs, create integrated campaigns that utilize social media and professional networking platforms to showcase benefits, share case studies, and facilitate peer-to-peer learning.
Limitations
The study focuses on perceived adoption intent and environmental performance; actual measured environmental impact and long-term adoption sustainability were not directly assessed. The findings may be more pronounced in sectors with higher digital engagement.
Student Guide (IB Design Technology)
Simple Explanation: Using social media and online groups can help businesses adopt greener technology like Green IoT, which then helps the environment even more.
Why This Matters: This research shows that how people talk about and share information about green technology online can significantly impact whether businesses actually start using it, leading to better environmental outcomes.
Critical Thinking: To what extent can the findings regarding GIoT adoption in SMEs be generalized to other types of sustainable technologies or to larger corporations?
IA-Ready Paragraph: Research indicates that digital social networking plays a crucial role in the adoption of Green Internet of Things (GIoT) by SMEs, enhancing their environmental performance. By leveraging platforms for information sharing and peer influence, businesses can overcome adoption barriers, with manufacturing SMEs showing particular interest. This suggests that design strategies for sustainable technologies should incorporate social diffusion mechanisms.
Project Tips
- Consider how social media can be used to promote a new sustainable product.
- Investigate how user communities influence the adoption of eco-friendly designs.
How to Use in IA
- Reference this study when discussing the role of social influence or digital communication in the adoption of a sustainable design solution.
Examiner Tips
- Demonstrate an understanding of how social dynamics, particularly online, can influence design adoption and impact.
Independent Variable: ["Performance expectancy","Effort expectancy","Social influence","Facilitating conditions","Perceived motivation","Perceived environmental knowledge","GIoT adoption"]
Dependent Variable: ["Environmental performance","Digital social networking (DSN)"]
Controlled Variables: ["SME sector (manufacturing vs. service)","Owner/manager role"]
Strengths
- Large sample size provides statistical power.
- Utilizes a robust theoretical framework (UTAUT) extended with relevant variables.
Critical Questions
- What are the specific mechanisms through which DSN amplifies environmental performance?
- How do cultural factors within SMEs influence the effectiveness of DSN in technology adoption?
Extended Essay Application
- Investigate the role of online communities in the adoption of a specific sustainable design solution, measuring user engagement and perceived impact.
Source
A Green Internet of Things ( <scp>GIoT</scp> ) Adoption Framework to Enhance Environmental Performance of <scp>SMEs</scp> Through the Digital Social Networking · Business Strategy & Development · 2025 · 10.1002/bsd2.70179