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3D프린터 소비자의 지각된 인식과 사용자 특성이 지각된 가치와 지속사용 의도에 미치는 영향

Influence of Perceptual Recognition and User Characteristics of 3D Printer Consumers on Perceived Value and Intent to Use Continuously

  • Park, Jun-Hong (Department of Business Administration, Honam University) ;
  • Lee, Junsang (Department of Product Design Engineering, Dong-Eui University)
  • 투고 : 2019.03.26
  • 심사 : 2019.04.03
  • 발행 : 2019.06.30

초록

본 연구는 3D프린터의 지각된 인식 및 사용자 특성이 지각된 가치와 지속사용 의도에 미치는 영향이 무엇인지를 살펴보았다. 자료수집은 국내에 거주하고, 3D프린터를 사용해 본 직장인 등을 대상으로 300명의 설문을 수행하였다. 연구결과, 첫째, 지각된 인식은 지각된 가치와 사용 의도에 영향을 미치는 것으로 나타났다. 둘째, 사용자 특성은 지각된 가치 및 사용 의도에 영향을 끼치는 것으로 나타났다. 셋째, 지각된 가치와 지속적 사용 의도에 긍정적인 영향을 미치는 것으로 나타난다. 따라서 소비자들에게 3D프린터의 유용성과 용이성을 충분히 인식시키고, 소비자 중심의 편의성, 신뢰성을 함께 지각시킴으로써, 소비자들의 3D프린터 지속적 사용 의도를 제고 하여 3D프린터가 보급화, 대중화, 활성화를 할 수 있도록 관련 업계와 학계 등 많은 관심과 노력을 기울인 전략이 수립되면 효과적일 것이라고 사료 된다.

This study looked at what the perceived recognition and user characteristics of 3D printers have to do with perceived value and intention of continuing use. The data collection was conducted by 300 people, including employees who lived in Korea and used 3D printers. Research has shown that firstly, perceptual perception affects perceived values and intended use. Second, user characteristics have been shown to affect perceived value and intended use. Third, it appears to have a positive effect on perceived values and the intention of continuous use. Therefore, by fully recognizing the usefulness and ease of 3D printers to consumers, and by making them aware of the convenience and reliability of consumers, it will be effective if a strategy is established that has put a lot of interest and effort into making 3D printers more popular and active by enhancing consumers' intention to continuously use 3D printers.

키워드

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Fig. 1 Model of Study

Table. 1 Results of Reliability and Feasibility Analysis

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Table. 2 Result of Correlation coefficient and discriminant validity analysis

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Table. 3 multiple Regression analysis result

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Table. 4 multiple Regression analysis result

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Table. 5 multiple Regression analysis result

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Table. 6 multiple Regression analysis result

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Table. 7 multiple Regression analysis result

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