Projects per year
Abstract
Despite several benefits, the market penetration of battery electric vehicles (BEVs) is below expectation. In light of studies suggesting the significant role of society in enhancing the uptake of technology-driven products, it is important to better understand how social factors affect consumers' intention to use technologies. Data gathered from 120 self-administered surveys were analyzed using structural equation modelling (SmartPLS) to examine the effect of subjective norms (SN) and image (IM) on adoption intentions for BEVs. The result showed that social factors played important roles in the decision to adopt the technology. Image, in particular, was a significant behavioral drive for current BEV owners. Social norm and image factors should be considered in research frameworks and communication strategies, especially in contexts where the choices that individuals make are public and subject to the judgment of the members of society. The study's limitations and future research directions are also discussed.
| Original language | English |
|---|---|
| Number of pages | 13 |
| Journal | International Journal of Business Excellence |
| DOIs | |
| Publication status | Published - 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
Keywords
- Subjective norms
- Image
- Social influence
- Battery electric cars
- BEVs
- Structural equation modeling
- Smart PLS
Fingerprint
Dive into the research topics of 'The influence of society on the behavioral intention to use a technology: evidence from the battery electric vehicles domain'. Together they form a unique fingerprint.Projects
- 1 Active
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CEGE 2025-2029: CEGE - Research Centre in Management and Economics: UID/731/2025. Pluriannual 2025-2029
Vlačić, B. (PI)
1/01/25 → 31/12/29
Project: Research
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