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Effect of Perceived Risk on the Intention to Adopt Nanotechnology Products as Moderated by Institution, People, and Technology Trust

지각된 위험이 나노기술 제품 수용의도에 미치는 영향 : 기관, 사람, 기술신뢰의 조절효과를 중심으로

  • Received : 2017.05.16
  • Accepted : 2017.08.16
  • Published : 2017.08.31

Abstract

TVarious studies in different industries have proven the effectiveness of nanotechnology, which is considered as a representative technology that makes lives faster and more convenient and economical. However, as nanomaterials are tiny, consumers are concerned on whether they can do any physical harm. Therefore, based on the perceived usefulness and ease of use from the generally used Technology Acceptance Model (TAM), this study added additional variables including perceived risk. Moreover, this study introduced three kinds of trust (institution, people, and technology trust) as moderating variables, which can reduce the negative effect of perceived risk. Based on the analysis using the Structural Equation Model, we determined that perceived usefulness and ease of use positively influenced the intention to adopt nanotechnology products. Thus, when consumers regarded nanotechnology products as efficient and convenient, they showed increased intention to adopt the technology. Furthermore, perceived risk negatively affected the intention to adopt nanotechnology products, that is, when customers' perceived risk increased, the adoption intention of nanotechnology product decreases because of the potential risk from nanotechnology. On the one hand, the negative effect of perceived risk on adoption intention decreased when trust in nanotechnology washigh and when consumers highlytrust experts or administrators. On the other hand, trust in government, public institutions, and companies which produce nanotechnology products showed no significant moderating effect. This study is meaningful as it generalized TAM by applying the model to new nanotechnology products and extended existing studies by the addition of perceived risk and various trust factors to the model.

Keywords

References

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