• Journal of Information Technology Applications and Management
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• 제27권1호
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• pp.75-95
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• 2020

Smart Factory is the decisive factor of the Fourth Industrial Revolution and is a key field for national competitiveness. Until now, most smart factory research has focused on policy and technology. In order to spread more technology, it is necessary to study what factors influence the adoption of smart factory technology in the enterprise. Nevertheless, little research has been done. In this study, based on the UTAUT (Unified Theory of Acceptance and Use of Technology), which has been proved through many years of research, I have studied the factors that influence the acceptance of smart factory technology. As a result of research, performance expectancy, social influence, and facilitating conditions of UTAUT model had a positive(+) effect on behavior intention. Their relationship of influence was in the order of performance expectancy (β = .459)> facilitating conditions (β = .212)> social influence (β = .210). However, it was found that the effort expectancy did not affect the behavior intention, and the impact of the newly perceived risk on the behavior intention to use was not confirmed. The main reason is that the acceptance of smart factory technology is not a matter of personal interest but a matter of organizational choice. Trust, on the other hand, was found to be partially mediated between performance expectancy, facilitating conditions, social influence and behavior intention. For many years, many researchers have validated the UTAUT, which has been validated through various empirical studies. It is academically meaningful to begin the study of factors affecting the acceptance of smart factory technology in terms of the UTAUT. In practice, it is necessary to provide SME employees with more information related to the introduction of smart factories, to provide advanced services related to the establishment of smart factories, and to establish a standardized model for each industry.

• Journal of Information Technology Applications and Management
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• 제26권6호
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• pp.29-46
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• 2019

This study analyzed the factors influencing the technology acceptance of the general public in the drones and ARs, one of the key technologies of the industry 4.0. The theoretical basis was the extended unified theory of acceptance and use of technology model(UTAUT2), which uses performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation as factors common to both services. The price value factor was excluded considering that most ARs were free, and the perceived risk factors, including privacy, which were not in UTAUT2, were included because they are important factors for ICT technology acceptance. The hypothesis was tested by structure equation model. Social influence and hedonic motivation had a positive(+) effect on intention to use technology. On the other hand, in the case of effort expectancy, neither the AR nor the drone had a significant influence on intention to use technology. Furthermore, performance expectancy had a positive(+) effect on intention to use in AR, but no significant influence was found out in drones. On the contrary, in the case of the facilitating conditions, the influence of the drones was positive (+), but the relation of AR was not investigated. The perceived risk was tested for the negative (-) influence of use intention of AR, but no significant relationship was found out for the drones. Among the significant influencing factors, hedonic motivation was the most powerful factor in AR and drones. Theoretical and practical implications are presented based on these results.

• 한국콘텐츠학회논문지
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• 제22권2호
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• pp.630-646
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• 2022

본 연구에서는 온라인 미술품 플랫폼을 새로운 정보기술의 유형으로 보고 사용자의 지각된 가치와 신기술 수용이 수용 의도에 어떤 영향을 미치는지 검증하고자 하였다. 이를 위해 온라인 미술품 플랫폼 사용자 489명을 대상으로 설문 조사를 시행하였다. 지각된 가치는 정서적 가치, 기능적 가치, 사회적 가치, 금전적 가치로 선정하였고, 통합기술수용이론에서 활용된 예상성과, 예상노력, 촉진조건을 신기술 수용변수로 선정하였다. 지각된 가치의 정서적 가치와 사회적 가치는 신기술 수용에 전체적으로 유의한 영향을 미쳤고, 기능적 가치는 촉진조건에, 금전적 가치는 수용 의도에만 영향을 미치는 것으로 확인되었다. 신기술 수용요인에서 예상성과와 촉진조건은 수용 의도에 유의한 영향을 미치는 것으로 확인되었다. 본 연구는 온라인 미술품 플랫폼 사용자의 지각된 가치와 신기술 수용 측면에서 실증하였다. 이에 플랫폼 공급자가 사용자의 요구사항을 이해하고 반영하는 기초자료로 활용할 수 있을 것으로 기대한다.

• Asian Pacific Journal of Cancer Prevention
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• 제14권5호
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• pp.3143-3149
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• 2013

Background: Breast cancer is the most common type of cancer among women in Turkey and around the world. Treatment adversely affects women's physical, psychological, and social conditions. The purpose of this study was to identify the experiences of Turkish women with breast cancer and the facilitating coping factors when they receive chemotherapy. Methods: A phenomenological approach was used to explain the experiences and facilitating factors of breast cancer patients during the treatment period. Data were collected through individual semi-structured interviews. The sample comprised 11 women with breast cancer receiving treatment. Results: At the end of the interviews conducted with women with breast cancer, two main themes were identified: adjustment and facilitating coping factors. The adjustment main theme had two sub-themes: strains and coping. Women with breast cancer suffer physical and psychological strains as well as stress related to social and health systems. While coping with these situations, they receive social support, turn to spirituality and make new senses of their lives. The facilitating coping factors main theme had four sub-themes: social support, disease-related factors, treatment-related factors and relationships with nurses. It has been determined that women receiving good social support, having undergone preventive breast surgery and/or getting attention and affection from nurses can cope with breast cancer more easily. Conclusions: Women with breast cancer have difficulty in all areas of their lives in the course of the disease and during the treatment process. Therefore, nurses should provide holistic care, teaching patients how to cope with the new situation and supporting them spiritually. Since family support is very important in Turkish culture, patients' relatives should be informed and supported at every stage of the treatment.

• 한국유기농업학회지
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• 제28권3호
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• pp.315-334
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• 2020

This study was conducted to analyze factors affecting acceptance of smart farm technology. Smart farm technology is rapidly being introduced to agriculture in accordance with the progress of the 4th Industrial Revolution, but research on this is still little. Therefore, in this study, based on the unified theory of acceptance and use of technology (UTAUT), a research model reflecting the characteristics of smart farm technology was constructed. To test this, empirical analysis was performed. A survey was conducted for students in smart farm technology education and adult male and female farmers who are currently planning to operate smart farms. Valid 204 sample were used for analysis. The hypothesis test was based on multiple regression analysis using SPSS 24 statistical package. For the mediating effect and moderating effect, Process Macro 3.4 based on the regression equation was used. The results of testing the hypothesis are as follows. First, in the causal hypothesis test, it was shown that performance expectancy, social influence and price value have a significant positive effect on the intention to use smart farm technology. On the other hand, effort expectancy, facilitating conditions were not tested for a significant influence on the use of smart farm technology. As a result of analyzing the mediating effect of trust, it was found that trust plays a mediating role between performance expectancy, effort expectancy, social influence, facilitating conditions, price value and intention to use smart farm technology. In particular, the effort expectancy has not been tested for a direct significant effect on intention to use smart farm technology, but it has been shown to have an impact through trust. Trust was found to be a full mediating between the effort expectancy and the intention to use the smart farm technology. The current IT level of prospective users has been shown to play a moderating role between performance expectancy, facilitating conditions and intention to use smart farm technology. In particular, the IT level was found to strengthen the relationship between performance expectancy and intention to use smart farm technology. Based on the results of these studies, academic and practical implications were suggested.

• 한국빅데이터학회지
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• 제9권1호
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• pp.169-186
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• 2024

본 연구는 중소기업의 AI 도입 확대를 위한 수용요인을 분석하고 실무적, 정책적 시사점을 도출하는 것이다. 이를 위해 전국에 소재한 제조, 서비스, 정보통신 분야 등 다양한 업종의 중소기업 315명을 대상으로 AI 수용요인을 실증 분석하였다. UTAUT를 기반으로 의사결정 신뢰성, 지각된 인식, 정책지원, 교육훈련, 인지된 비용, 지각된 위험성, 시스템 복잡성의 영향력을 검증한 결과, 의사결정 신뢰성은 성과기대와 사회적 영향에 긍정적인 영향을, 지각된 인식은 성과기대와 노력기대에 긍정적인 영향을, 정책지원은 사회적 영향과 촉진조건에 긍정적 영향을 교육훈련은 노력기대 및 촉진조건에 긍정적인 영향을 미치는 것으로 나타났다. 인지된 비용은 사회적 영향과 촉진조건에 부정적 영향을 미치며 지각된 위험성은 성과기대와 사회적 영향에 부정적인 영향을 미쳤다. 시스템 복잡성은 노력기대에 부정적인 영향을 미쳤으나 촉진조건에는 영향을 미치지 않는 것으로 나타났다. 이러한 결과는 산업계의 AI 확산을 위한 기초 연구로 폭넓게 활용되고, 중소기업의 AI 도입을 촉진할 수 있도록 실무적, 정책적 시사점을 제공하기를 기대한다.

• 벤처창업연구
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• 제19권4호
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• pp.103-113
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• 2024

본 연구는 UTAUT 이론을 적용하여 온라인 쇼핑몰 챗봇 서비스 이용의도를 살펴보고 이들 간의 관계에서 의인화의 매개효과를 규명하는데 그 목적이 있다. 이를 위해 경남지역 A대학 재학생들 표본집단으로 2024년 5월 1째 주부터 2째 주까지 약 2주간 온라인 설문조사(Google Docs)를 진행하였으며, 응답한 250명 중에서 불성실응답자 5명을 제외한 245명을 최종분석에 사용하였다. 주요 결과는 다음과 같다. 첫째, 온라인 쇼핑몰 챗봇 서비스에 대한 UTAUT 요인 중에서 성과기대, 노력기대, 촉진조건, 사회적 영향은 의인화에 유의미한 정(+)의 영향을 미치는 것으로 나타났다. 상대적 영향력은 성과기대, 사회적 영향, 촉진조건, 노력기대 순으로 나타났다. 둘째, 온라인 쇼핑몰 챗봇 서비스에 대한 의인화는 이용의도에 유의미한 정(+)의 영향을 미치는 것으로 나타났다. 셋째, 온라인 쇼핑몰 챗봇 서비스에 대한 UTAUT 요인 중에서 성과기대, 노력기대, 촉진조건, 사회적 영향은 이용의도에 유의미한 정(+)의 영향을 미치는 것으로 나타났다. 상대적 영향력은 촉진조건, 사회적 영향, 성과기대, 노력기대 순으로 나타났다. 넷째, 온라인 쇼핑몰 챗봇 서비스에 대한 UTAUT 요인과 이용의도간의 관계에서 의인화의 매개효과가 확인되었다. 연구결과는 학술적으로 인간-컴퓨터 상호작용 이론에 기여한다. 또한 챗봇 의인화가 고객의 기술 수용을 촉진할 수 있음을 확인하였다는데 실무적 의의가 있다. 이러한 결과는 챗봇 서비스의 인간적 요소가 기술 수용에 중요한 역할을 하며 이를 통해 사용자 경험과 만족도를 향상시킬 수 있음을 시사한다. 본 연구는 경남지역 A대학 재학생을 대상으로 한정되어 있어 결과의 일반화에 제한이 있을 수 있으며, 향후 연구에서는 지역적, 인구학적 다양성을 고려한 더 광범위한 표본을 선정하고, 다양한 수집 방법을 활용하여 데이터의 신뢰성과 타당성을 강화할 필요가 있다.

• 한국유기농업학회지
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• 제28권2호
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• pp.119-138
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• 2020

The purpose of this study was to examine the intention of consumer acceptance of technology in agricultural production by applying the unified theory of acceptance and use of technology (UTAUT) to smart farm. In particular, this study analyzed the intention to accept the technology of agricultural students, farmers, start-up farmers, returning farmers, and returnees in the general manufacturing industry and high-tech industries, and in agricultural sectors corresponding to primary industries. The results showed that performance expectancy, social influence, facilitating conditions, IT development level, and reliability had a significant influence on the intention to use smart farm technology. However, effort expectancy and price value were rejected because no significant impact on use intention was tested. In addition, the influences of the variables showing their influence were reliability (β=.569) > IT development level (β=.252) > social influence (β=.235) > performance expectancy (β=.182) > facilitating conditions (β=.134).

• 산업융합연구
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• 제21권1호
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• pp.95-102
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• 2023

본 연구는 UTAUT 모델을 기반으로 간호사의 디지털 헬스케어 사용의도에 미치는 영향요인을 파악하고 임상경력의 조절효과를 확인하고자 하였다. 문항은 성과기대 3문항, 촉진조건 3문항과 지각된 위험 3문항을 추가하여 구성하였고, 구성 타당도 검증을 위하여 확인적요인분석을 실시하였다. 그 결과 평균분산추출 .5이상, 개념신뢰도 .7이상, CMIN/df=1.797, GFI=.955, CFI=.979, TLI=.968, IFI=.979, RMSEA=.063으로 타당도와 모델적합도를 확인하였으며 내적신뢰도는 성과기대 .93, 촉진조건 .84, 지각된위험 .64로 나타났다. 회귀분석 결과 성과기대, 촉진조건, 지각된 위험은 사용의도에 유의한 영향을 미쳤고 임상경력은 지각된 위험이 사용의도에 미치는 영향에서 조절효과를 나타냈다(t=-2.159, p=.032). 따라서 디지털 헬스케어의 사용의도를 증진시키기 위해서는 성과기대, 촉진조건을 높이고 지각된 위험을 감소시켜야 하는데, 경력간호사의 역량을 활용하여 지각된 위험을 감소시킬 수 있을 것으로 생각된다.

• 한국정보시스템학회지:정보시스템연구
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• 제19권4호
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• pp.111-136
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• 2010

This study examined the difference in the usage of internet banking users between Korea and China. This model tests various theoretical research hypotheses relating to internet banking, The Unified Theory of Acceptance and Use of Technology(UTAUT). The factors influencing on the use intention of Internet banking have been classified as performance expectancy, effort expectancy, social influence and facilitating conditions. The proposed model was empirically tested using data collected from a survey of internet banking users in Korea and China. The model is used by SPSS 15.0 and AMOS 7.0 for analysis on the sample collected from 272 respondents. The result of hypothesis testing are as follows. First, performance expectancy and social influence positively influence use intention of internet banking user both Korea and China. Second, facilitating conditions only positively influence on the usage of internet banking users in Korea. On the other side, effort expectancy do not influence the use intention of internet banking users in both two countries. The results of study will provide practical implications on the internet banking in Korea and China.