• 제목/요약/키워드: Intentions of Acceptance

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사용자유형을 조절변수로 한 스마트헬스케어서비스 수용의도의 구조모형 (Structural Model for Users's Accepting Smart Health Care Services by Moderating the User Types)

  • 최영남;김근형;오성렬
    • 한국콘텐츠학회논문지
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    • 제15권9호
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    • pp.541-554
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    • 2015
  • 본 논문에서는 첫째, 스마트헬스케어서비스(Smart Health Care Services)의 수용의도에 영향을 미치는 요인들을 규명하였고, 둘째 스마트헬스케어서비스의 수용의도에 대한 영향요인들의 영향력이 의료인과 비의료인에 따라서 어떻게 달라지는지 살펴보았다. 연구모형의 독립변수로는 개인혁신성, 자기효능감, 촉진조건, 보안성을 적용하였으며, 매개변수로는 인지된 용이성과 유용성을, 종속변수로는 수용의도, 조절변수로는 사용자유형(의료인 vs. 비의료인)을 적용하여 연구가설을 수립하여 데이터를 수집하고 분석하였다. 분석결과, 스마트헬스케어서비스 사용자들의 자기효능감은 인지된 용이성과 유용성에 유의한 영향을 미쳤으며, 그 영향력은 의료인과 비의료인 사이에 유의한 차이가 없었다. 스마트헬스케어서비스에 대한 촉진조건은 인지된 용이성과 유용성에 유의한 영향을 미쳤으며, 용이성의 경우 그 영향력은 비의료인이 더 민감하였다. 스마트헬스케어서비스의 보안성은 인지된 용이성에 유의한 영향을 미쳤으며, 그 영향력은 의료인이 더 민감하였다. 스마트헬스케어서비스의 용이성과 유용성은 각각 수용의도에 유의한 영향을 미쳤으며, 용이성의 영향력은 비의료인이 더 민감하였고 유용성은 의료인이 더 민감하였다.

인터넷 서점의 이용의도에 영향을 미치는 요인 (The Factors Affecting on Intentions to Use Online Bookstores)

  • 서창교;정현정
    • 한국정보시스템학회지:정보시스템연구
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    • 제17권3호
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    • pp.111-134
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    • 2008
  • As students can purchase textbooks online or from local bookstores, we proposed a model to study the predictors of textbook purchasing from online bookstores based on the theory of reasoned action (TRA) and technology acceptance model (TAM). The survey instrument consisted of 51 items to assess 10 constructs of the proposed model, where the items used to measure the constructs were adapted from previous literature. Pre-testing and pilot testing of the measures were conducted by selected users of online bookstores. Data were collected from 220 university students who have purchased and intend to purchase their textbooks from online bookstores. The findings of this research are summarized as follows. First, navigation, previous experience, and innovation have a significant impact on the buyer's perception of ease of use. Second, price and delivery services have a significant impact on the buyer's perception of usefulness. Third, the perception of ease of use also has a significant impact on the buyer's perception of usefulness. Fourth, the perception of ease of use, perception of usefulness, and subjective norms all significantly support the purchasing intention in the case of online bookstores.

Use of 3D Printing Technology to Create Personal Fashion: UTAUT and Need for Uniqueness

  • Popov, Darinka;Koo, Sumin
    • 패션비즈니스
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    • 제24권6호
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    • pp.1-17
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    • 2020
  • This study investigated the perceptions, attitudes, and behaviors of potential consumers toward using 3D printers to create their personal clothes. An online survey and a series of Welch's t-tests and ANOVA were conducted to investigate the differences in demographic characteristics, prior experiences in 3D printing, and levels of need for uniqueness among the sub-groups. A multiple linear regression analysis was performed to test the relationships among variables of the modified Unified Theory of Acceptance and Use of Technology (UTAUT). There were significant differences in gender and prior experiences regarding the UTAUT of personal 3D printing. The need for uniqueness has a positive effect on consumers' intention to use 3D printing technology for designing personal clothes and perception of the price of the 3D printer used to create individual clothes is important. Positive relationships were found between UTAUT variables as well as the use and purchase intentions. This study analyzed the potential for popularization of 3D printing technology to create fashion items and explore consumer willingness to embrace and use personal fashion designs. The results of this study are expected to assist consumers, designers, retailers and marketers, and experts in 3D printing technology by providing insight into consumer awareness and acceptance of personalized 3D-printed fashion and products.

Factors Influencing Behavioral Intention to Use Online Learning Systems from Student's Perspective: An Extended TAM Model

  • 양이;김민용
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권4호
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    • pp.95-118
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    • 2023
  • Purpose This study employed the Technology Acceptance Model (TAM) to understand students' acceptance of online learning systems. Specifically, this study investigated the factors influencing the behavioral intention of South Korean major university students to use online learning systems for educational purposes in the period when their university life had largely returned to the state it was in before the COVID-19 pandemic. Design/methodology/approach This study examined the impact of four external factors: self-efficacy, personal innovativeness, perceived enjoyment, and system quality, on two TAM constructs: perceived ease of use and perceived usefulness. Additionally, this study explored how perceived ease of use and perceived usefulness affect the behavioral intention to use online learning systems. We conducted an online-based survey using a structured questionnaire. The data collected from the survey were then subjected to Structural Equation Modeling (SEM) analysis to test the study's hypotheses and examine the relationships among the various constructs. Findings The findings reveal that perceived usefulness and ease of use significantly influence students' behavioral intentions to use online learning systems. Furthermore, factors of self-efficacy, perceived enjoyment, and system quality positively affect perceived usefulness and ease of use. Notably, personal innovativeness impacts ease of use but not perceived usefulness.

Understanding the Acceptance of Mobile Food Ordering Applications: Role of Confidence in Food Safety Measures

  • Yaou Hu;Hyounae (Kelly) Min;Saehya Ann
    • Journal of Smart Tourism
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    • 제4권2호
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    • pp.25-33
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    • 2024
  • This study examines the factors influencing the use of mobile food ordering applications and their impact on consumption behavior amidst recent societal changes. It re-evaluates the relevance of factors from the UTAUT2 theory in predicting customers' behavioral intentions. Additionally, the study explores the moderating effect of confidence in food safety measures (CFSM). Quantitative research methods are employed. A structured questionnaire that measures the psychological factors, behavioral intention, and actual usage of mobile food ordering applications was used to collect customer data. Regression and moderation analyses are conducted to test the hypotheses and examine the moderating role of CFSM. The findings reveal that performance expectation, effort expectation, and habit significantly predict customers' intention to use mobile food ordering applications. Moreover, for customers with high CFSM, social influence, facilitating conditions, and hedonic motivation add additional contributions to their behavioral intention. This study extends the UTAUT2 theory by applying it to mobile food ordering applications and examining the influence of CFSM. It identifies the specific factors that drive customers' intention to use these applications and highlights the importance of CFSM as a moderating factor. The findings offer theoretical insights and practical implications for researchers and practitioners in the mobile food ordering industry.

Research on Factors Influencing Consumers' Willingness to Use Community Group Buying Platform

  • Youwei QI;Jing SONG;Yiming LIU;Zhuoqi TENG
    • 유통과학연구
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    • 제22권5호
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    • pp.1-10
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    • 2024
  • Purpose: The study aims to identify the key factors that influence consumers' propensity to utilize community group buying platforms, employing the Technology Acceptance Model (TAM) as a theoretical framework. Research design, data and methodology: The research design involved selecting 192 consumers with experience in community group buying and analyzing the data statistically using SPSS 23.0. Hypotheses were tested utilizing the structural equation modeling software AMOS. Results: Key findings indicate that the attributes of products offered on community group buying platforms significantly enhance consumers' perceptions of usefulness and ease of use. Furthermore, these perceptions directly correlate with consumers' intentionsto use the platform. Conclusions: Thisresearch, grounded in the TAM, delves into how external factors of the community group buying platform impact perceived usefulness and ease of use, and subsequently, how these perceptions affect consumers' purchasing intentions. Based on these insights, several recommendations can be proposed for the platform's development: The platform should strive to enhance product quality and cultivate a positive reputation. Strategic promotional initiatives should be designed to attract new users while retaining existing customers. Continuous optimization of platform functionalities is necessary to augment users' perception of usefulness. These measures are anticipated to foster user engagement, increase adoption rates, and contribute to the overall success and sustainability of the community group buying platform.

포스트 코로나 시대의 원격진료 앱 사용 의도에 대한 연구: 테크노 스트레스의 영향을 중심으로 (The Impact of Technostress on Telemedicine App Usage Intentions in the Post-COVID19 Era)

  • 이동언;정세윤
    • 대한안전경영과학회지
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    • 제26권1호
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    • pp.1-8
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    • 2024
  • This study explores the impact of technostress on the intention to use telemedicine applications (apps) in the post-COVID19 era, a period marked by the rapid popularization of such apps to mitigate COVID19 infection risks. Utilizing the Technology Acceptance Model (TAM), the study identifies variables and proposes a research model. A questionnaire survey involving 364 adults is analyzed through Partial Least Squares-Structural Equation Modeling. Results indicate positive significance for variables linked to the TAM (perceived usefulness, perceived ease of use, attitude, and intention to use). Notably, techno-complexity negatively affects perceived ease of use, while techno-unreliability negatively impacts perceived usefulness and ease of use. Surprisingly, techno-uncertainty has a positive effect on both perceived usefulness and ease of use. Techno-overload, although negatively impacting perceived usefulness and ease of use, does not reach statistical significance. The study underscores the need to consider both positive and negative aspects, including technostress, when evaluating telemedicine app usage. Additionally, recognizing the varying impact of technostress based on users' ICT(Information and Communication Technology) confidence levels is crucial. Overall, these findings contribute academically to telemedicine app adoption literature and hold industrial significance by providing a user perspective on these apps.

공항이용객의 자동출입국심사 시스템 사용의도에 관한 연구 (Investigating factors influencing the usage of Korea Immigration Smart Service)

  • 최진호;박진우
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2011년도 춘계 종합학술대회 논문집
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    • pp.277-278
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    • 2011
  • 기존 공항이용객들은 공항의 입출국시 출입국 심사관에게 직접 여권을 제시하여 출입국 심사를 받아왔다. 이런 기존 출입국 심사제도의 비효율성을 개선하기 위하여 인천국제공항은 자동출입국심사제도를 도입하여 공항이용객들이 간편하게 출입국 심사를 받을 수 있게 하고 있다. 본 연구는 인천국제공항의 자동출입국심사 시스템의 사용의도에 영향을 미치는 변수를 파악하고, 이들 변수가 자동출입국심사 시스템의 지속적 사용의도에 어떠한 영향을 미치는 지를 파악하는데 그 목적이 있다. 자동출입국심사 시스템의 사용의도를 파악하기 위하여 기술수용모형(Technology Acceptance Model)를 토대로 한 연구모형을 개발하였고, 구조방정식을 사용하여 중요변수들 간의 관계를 파악하고자 한다. 본 연구의 결과는 향후 자동출입국심사 시스템 사용인원의 증가를 위한 전략제시와 자동출입국심사 시스템의 개선을 위한 기초자료로 활용할 수 있을 것이다.

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Mobile Banking 사용 의도 결정 요인 (Determinants of the user's Intention to use of Mobile banking)

  • 한상일
    • 한국전자거래학회지
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    • 제10권3호
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    • pp.135-157
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    • 2005
  • 기술수용모델과 계획행동이론 관련 연구들을 기반으로 본 연구에서는 기술수용모델의 구조를 유지하면서 한 가지의 신뢰 관련 요인(인지된 신뢰성)과 두 가지의 인지된 행위 통제 요인(인지된 유효성과 인지된 비용),그리고 국내의 특성을 고려한 기술적 적합성 항목을 모델에 추가하여 모바일 뱅킹 분야에 적합하게 기술수용모델의 적응성을 확장하였다. 국내에서 182개의 데이터를 수집하여, 구조방정식 모델 기법을 이용, 확장된 기술수용모델을 검증하였다. 본 연구의 결과는 모바일 뱅킹 채택에 대한 사용자 의도를 예측하는데 있어서 본 연구에서 사용된 확장된 기술수용모델을 지지하고 있다. 또한 정보기술/시스템 수용과 모바일 뱅킹 시스템 운영의 실제적인 시사점들이 논의되어졌다.

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White striping degree assessment using computer vision system and consumer acceptance test

  • Kato, Talita;Mastelini, Saulo Martiello;Campos, Gabriel Fillipe Centini;Barbon, Ana Paula Ayub da Costa;Prudencio, Sandra Helena;Shimokomaki, Massami;Soares, Adriana Lourenco;Barbon, Sylvio Jr.
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권7호
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    • pp.1015-1026
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    • 2019
  • Objective: The objective of this study was to evaluate three different degrees of white striping (WS) addressing their automatic assessment and customer acceptance. The WS classification was performed based on a computer vision system (CVS), exploring different machine learning (ML) algorithms and the most important image features. Moreover, it was verified by consumer acceptance and purchase intent. Methods: The samples for image analysis were classified by trained specialists, according to severity degrees regarding visual and firmness aspects. Samples were obtained with a digital camera, and 25 features were extracted from these images. ML algorithms were applied aiming to induce a model capable of classifying the samples into three severity degrees. In addition, two sensory analyses were performed: 75 samples properly grilled were used for the first sensory test, and 9 photos for the second. All tests were performed using a 10-cm hybrid hedonic scale (acceptance test) and a 5-point scale (purchase intention). Results: The information gain metric ranked 13 attributes. However, just one type of image feature was not enough to describe the phenomenon. The classification models support vector machine, fuzzy-W, and random forest showed the best results with similar general accuracy (86.4%). The worst performance was obtained by multilayer perceptron (70.9%) with the high error rate in normal (NORM) sample predictions. The sensory analysis of acceptance verified that WS myopathy negatively affects the texture of the broiler breast fillets when grilled and the appearance attribute of the raw samples, which influenced the purchase intention scores of raw samples. Conclusion: The proposed system has proved to be adequate (fast and accurate) for the classification of WS samples. The sensory analysis of acceptance showed that WS myopathy negatively affects the tenderness of the broiler breast fillets when grilled, while the appearance attribute of the raw samples eventually influenced purchase intentions.