• Title/Summary/Keyword: Information Acceptance

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The effect of information seeking style and news literacy of card news users on recommendation intention: Focused on Technology Acceptance Model (TAM) (카드뉴스 이용자의 정보추구성향과 뉴스 리터러시가 추천의도에 미치는 영향: 기술수용모델(TAM) 모델을 중심으로)

  • Choi, Myung-Il
    • Journal of the Korea Convergence Society
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    • v.10 no.1
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    • pp.141-148
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    • 2019
  • In this study, the Technology Acceptance Model (TAM) was applied to explore the process of using card news. Card news users are found to be active in searching and selecting appropriate news for themselves, information seeking style and news literacy were established as antecedent variables that can influence card news usage. A survey of 400 university students with experience of using card news was conducted. For statistical analysis, SEM was conducted. The analysis showed that information seeking style significantly affects perceived ease of use (PEU) and that news literacy influences neither PEU nor PU. PEU was found to have a significant effect on PU, and both PEU and PU had a significant effect on recommendation intention.

A Study of The Relationship between Consumption Value, Advertising Acceptance Attitude and Purchase Intention according to MBTI personality type - Focusing on the Consumption of Digital Products by MZ Generation

  • Jae-Woo Lee;Chang-Bae Ko
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.5
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    • pp.75-83
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    • 2024
  • The purpose of this study is to analyze the relationship between consumption value, advertisement acceptance attitude, and purchase intention according to the MBTI personality type. The results of a survey and analysis targeting the MZ generation with experience in purchasing digital products are as follows. 1.There was no difference between consumption value and advertisement acceptance attitude according to the MBTI personality type. 2. Among the consumption values, Factors of rarity value and emotional value had an effect on purchase intention. 3. Among the attitude of accepting advertisements, advertising favors, information trust and negative cognition had a positive effect on purchase intention. Accordingly, providing advertising content including information and interest about digital products is considered effective in marketing of the MZ generation, which represents flex consumption and minus-out consumption.

Comparison of Models for Stock Price Prediction Based on Keyword Search Volume According to the Social Acceptance of Artificial Intelligence (인공지능의 사회적 수용도에 따른 키워드 검색량 기반 주가예측모형 비교연구)

  • Cho, Yujung;Sohn, Kwonsang;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.27 no.1
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    • pp.103-128
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    • 2021
  • Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

Factors Influencing Acceptance Resistance of Personal Health Record Apps: Focusing on the Privacy Calculus Model (개인건강기록 앱 수용저항에 영향을 미치는 요인: 프라이버시 계산모형을 중심으로)

  • Sang Ho Kim;Eunkyung Kang;Sung-Byung Yang
    • Information Systems Review
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    • v.25 no.1
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    • pp.165-187
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    • 2023
  • The continuous increase in life expectancy and high interest in health has brought about significant changes in the use of health information by the public according to the development of information technology represented by the Internet and smartphones. As the medical market expands to the mobile health environment, many health-related apps have been created and distributed, but the acceptance rate is slow as it has become challenging to provide services due to various regulations. In this study, perceived value, perceived risk factors (psychological risk, risk of time-loss, legal risk), and perceived benefits (usefulness, interaction, autonomy) were derived and verified as factors that affect the acceptance resistance of personal health record apps based on the privacy calculation model. In addition, by analyzing the moderating effect of trust in the manufacturer, how the perceived risk and perceived benefit affect the perceived value was verified. A survey was conducted on Korean college students who recognized the personal health record apps but did not use them, and 127 samples were analyzed using structural equations. As a result of hypothesis verification, perceived value has a negative effect on acceptance resistance, perceived risk (risk of time-loss) has a negative effect on perceived value, and perceived benefits (usefulness, interaction, autonomy) were found to have a positive effect on perceived value. Trust in manufacturers has weakened the impact of perceived risks (legal risk) on perceived values. This study is expected to play an important role in maintaining a competitive advantage in the personal health record app market environment by identifying and proposing detailed criteria for reducing the acceptance resistance of personal health record apps.

The Effect of Technology Readiness, Fashion Innovativeness, and Participation Level Perception on Acceptance Intention of 3D Virtual Fitting Systems (소비자의 기술 준비성, 패션 혁신성 및 참여수준 지각이 3차원 가상 피팅 시스템 수용의도에 미치는 영향)

  • Yang, Hee-Soon;Park, Chang-Kyu
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.3
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    • pp.269-281
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    • 2012
  • This study investigates the influence of technology readiness, fashion innovativeness, and participation level perception on the acceptance intention of 3D virtual fitting systems. We presented a 3D virtual fitting system with detailed information that was watched by respondents who subsequently completed a research questionnaire. The data were collected from 300 subjects with an age range of 21 to 39 who have experienced Internet shopping. Descriptive statistics, Cronbach's alpha, factor analysis, correlation analysis, and multiple regression analysis were conducted. The results were as follows. First, fashion innovativeness, technology innovativeness, participation level perception, and optimism significantly influenced the acceptance intention. Second, fashion innovativeness, technology innovativeness, participation level perception, and optimism positively influenced the acceptance intention in the male group; however, technology innovativeness, participation level perception, optimism, and insecurity significantly influenced the acceptance intention in the female group. The results indicated that a marketing strategy has to be designed that focuses on consumers with high technology, fashion innovativeness, and optimism to increase the acceptance intention. In addition, markers have to enhance a participation level perception that will contribute to the introduction of 3D virtual fitting systems. Another notable finding was the importance to differentiate marketing strategies according to gender.

A Study on factors affecting physician's acceptance of Electronic Health Record(EHR) System (의사들의 의료정보 시스템 수용도에 영향을 미치는 요인에 관한 연구)

  • Jung, Se-Young;Lee, Kee-Hyuck
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.6
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    • pp.117-125
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    • 2019
  • For successful EHR implementation, it is important to understand physicians's acceptance and attitude for EHR. This study aims to provide basic information for the overseas expansion of Korean EHR by studying Saudi Arabia's physicians' acceptance for the Korean EHR exported to Saudi Arabia. Except for physician autonomy and physician-patient relationship, Likert scales of physician involvement, adequate training, ease of use, usefulness, and attitude about EHR usage were over 3.5 points, which are relatively high. The Physicians' experience of Korean EHR may have influenced the EHR acceptance score. Based on the positive research results of this study, we can say that Korean EHR can be competitive in the overseas EHR business.

A study on online word-of-mouth effect through blog reviews on fashion products - Based on the theory of planned behavior - (패션제품 블로그 리뷰를 통한 온라인 구전효과에 대한 연구 - 계획된 행동이론을 중심으로 -)

  • Kwon, Su Kyung;Kim, Sun-Hee
    • The Research Journal of the Costume Culture
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    • v.21 no.4
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    • pp.478-493
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    • 2013
  • The purpose of this study is to examine the online WOM effect of blog review depending on brand awareness and message direction. The theory of planned behavior was applied to understand online WOM acceptance. A survey was conducted targeting female in 20s and 30s and 312 questionnaires were used for analysis. Frequency analysis, reliability analysis, t-test, and regression analysis were conducted using SPSS ver. 18.0. The results are as follows. First, purchase intention and online re-WOM intention are higher when brand awareness is higher. Second, subjective norm, perceived behavioral control, WOM acceptance intention, purchase intention and off-line re-WOM intention show higher values when negative information is afforded. Third, in type 1 (high brand awareness/positive message) and type 3 (low brand awareness/positive message), attitude, subjective norm and perceived behavioral control have a positive effect on WOM acceptance intention. In type 2 (high brand awareness/negative message), subjective norm and attitude have a positive effect on WOM acceptance intention. In type 4 (low brand awareness/negative message), subjective norm and perceived behavioral control have a positive effect on WOM acceptance intention. Forth, in type 1 and type 3, WOM acceptance intention has a positive effect on purchase intention, offline re-WOM intention and online re-WOM intention. In type 2 and type 4, WOM acceptance intention has a negative effect on purchase intention, and a positive effect on offline re-WOM intention. The results show that blog review has ripple effect on consumer behavior by affecting purchase intention and offline re-WOM intention.

Investigating the acceptance of the reopening Bataan nuclear power plant: Integrating protection motivation theory and extended theory of planned behavior

  • Ong, Ardvin Kester S.;Prasetyo, Yogi Tri;Salazar, Jose Ma Luis D.;Erfe, Justine Jacob C.;Abella, Arving A.;Young, Michael Nayat;Chuenyindee, Thanatorn;Nadlifatin, Reny;Redi, Anak Agung Ngurah Perwira
    • Nuclear Engineering and Technology
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    • v.54 no.3
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    • pp.1115-1125
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    • 2022
  • Nuclear power plant (NPP) is currently considered as one of the most reliable power sources. However, 182 of them are considered decommissioned and inactive including the one in Bataan, Philippines. The aim of this study was to investigate the acceptance of the reopening of Bataan Nuclear Power Plant (BNPP) by integrating the Theory of Planned Behavior and Protection Motivation Theory. A total of 815 Filipinos answered an online questionnaire which consisted of 37 questions. The Structural Equation Modeling (SEM) indicated that knowledge towards nuclear power plants was the key factor in determining people's acceptance towards NPP reopening. In addition, knowing the benefits would lead to positive perceived behavioral control (PBC) and attitude towards intention. Results showed that PBC and attitude are mediators towards the acceptance of people regarding the reopening of BNPP. If an individual's knowledge gravitates towards the perceived risk, then this can lead to the negative acceptance of the NPP reopening. On the other hand, if an individual's knowledge gravitates towards the perceived benefits, then this will lead to positive acceptance. This study is the first study that explored the acceptance of the reopening BNPP. Finally, the study's model construct would also be very beneficial for researchers, government, and even private sectors worldwide.

A Study on the Moderating Effect of Perceived Voluntariness in the Organizational Information System Usage and Performance (정보시스템 사용과 성과에 있어서 자발성의 조절효과에 관한 연구)

  • Lee, Seung-Chang;Lee, Ho-Geun;Jung, Chang-Wook;Chung, Nam-Ho;Suh, Eung-Kyo
    • Asia pacific journal of information systems
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    • v.19 no.2
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    • pp.195-221
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    • 2009
  • According to an industry report, a large number of organizations have invested in Organizational Information System(OIS) in the past few years. Several research results indicate that successful investments in OIS lead to productivity enhancement, while failed ones result in undesirable consequences such as financial losses and dissatisfaction among employees. In spite of huge investments, however, many organizations have failed in achieving the hoped-for returns from OIS. Thus, understanding user acceptance, adoption, and usage of new IS(Information Systems) is an important issue for IS practitioners. Indeed, study of the user acceptance of new information system has been one of the most important research topics in the contemporary IS literature. Several theoretical models are tested to examine 'user acceptance' and 'usage behavior' in IS context. While many research models incorporate 'ease of use' or 'usefulness' as important factors in explaining user acceptance, Technology Acceptance Model(TAM) has been one of the most widely applied models in user acceptance and usage behavior. Even in recent IS studies that employ theories of innovation diffusion in the area of IS implementation, a major focus has been on the user's perception of information technologies. In this research, we study 'voluntariness' as an important factor in IS acceptance by users. Voluntariness is defined as "the degree to which the use of the innovation is perceived as being voluntary, or of free will" When examining the diffusion of accepting OIS, a thoughtful consideration should be given to 'perceived voluntariness.' Current article has following research questions: 1) What models are appropriate to explain the success of OIS? and 2) How does the 'voluntariness' affect the success of OIS? In order to answer these questions, a research model is proposed to describe the detailed nature of association among three independent variables (IT usage level, task interdependency, and organizational support), a mediating variable (IS usage), a dependent variable (perceived performance), and a moderating variable(perceived voluntariness). The central claim of this article is that organizations hardly realize expected returns from OIS investments unless perceived voluntariness is effectively managed after operating OIS. As an example of OIS in this study we have selected the Intranet of Republic of Korea Air Force (ROKAF). ROKAF has implemented the Intranet in an attempt to improve communication and coordination within the organization. To test our research model and hypotheses, survey questionnaires were first sent out to 400 Intranet users. With the assistance of ROKAF, Intranet users were initially identified among its members, and subjects were randomly drawn from the pool. 377 survey responses were finally returned. The unit of measurement and analysis in this research is a personal level. Path analysis based on structural equation modeling was used to test research hypotheses. Construct validity represents accordance between the theoretical base concept of constructs and its measurement items. Tests for the reliability and discriminant validity are accepted, thus verifying our survey instrument. In this research, we have proposed a conceptual framework to highlight the importance of perceived voluntariness after organization deploys OIS. The results of our analysis present several key finding. First, all three independent variables (IT usage level, task interdependency, and organizational support) have significant effects on IS usage, which will eventually improve performance. Thus, IS usage plays a mediating role between antecedent variables (IT usage level. task interdependency, and organizational support) and performance improvement. Second, the effect of the task dependency was the highest for IS usage among the three antecedent variables. This is highly plausible since one of the Intranet's major capabilities is to facilitate communication among members within an organization. Accordingly, we conclude that the higher the task dependency, the higher Intranet usage. The effect of user's IT usage level was the second, while the effect of the organizational support was the third. Finally, the perceived voluntariness plays a pivotal role in enhancing perceived performance in personal level after launching the Intranet. Relationships among investigated variables were significantly different between groups with a high level and a low level of voluntariness. The impact of the Intranet usage on the performance was greater in the higher level voluntariness group than in the lower one. For the lower level voluntariness group, the user's IT usage had the highest effect on the Intranet usage among the three antecedent variables. In short, our study suggests that the higher the perceived voluntariness is the more IS usage will be. Perceived voluntariness was found to have a moderating effect on the relationships among user IT usage level, task interdependency, IS usage, and perceived performance, supporting all the hypotheses on the moderating effect. Most of all, user IT usage level has the strongest influence on IS usage, indicating that users with superior IT usage are more likely to enjoy a high level of perceived performance.

A Study on the Acceptance of Wearable Computers based on the Extended Technology Acceptance Model (확장된 혁신기술수용모델을 이용한 웨어러블 컴퓨터의 수용에 관한 연구)

  • Lee, Hyun-Mee
    • The Research Journal of the Costume Culture
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    • v.17 no.6
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    • pp.1155-1172
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    • 2009
  • Wearable computers can be defined as next generation clothing integrated with various digital functions and devices. Unlike existing computers, they are viewed as human-centric computers customized for information utilization and other specific human needs. This study is intended to discover how consumers are accepting wearable computers, which are different from existing computers, based on Technology Acceptance Model(TAM) and to extend the model by adding variable regarding acceptance of wearable computers. A total of 683 copies of questionnaires, distributed to those aged 19 and older, both male and female, were collected online. The data was statistically analyzed for this study using the extended TAM. In order to test hypotheses, the structural equation model using the Lisrel 8.30 version was performed. For analyzing constructs(or traits) of research model, exploratory factor was conducted and the measurement model was assessed from the result. Reliability was assessed through confirmatory factor analysis and the calculation of Cronbach's alpha coefficients. Overall, model fit was assessed by statistical indexes: Chi-square value, GFI, AGFI, and RMR. This study analyzed the process of acceptance of wearable computers with the extended TAM that includes a variable, perceived value, on the basis of previous studies. The results of the analysis revealed that attitude toward wearable computer was directly influenced by perceived usefulness and perceived value but indirectly influenced by perceived ease of use. Acceptance intention of the wearable computer was directly influenced by perceived value and attitude toward wearable computer. To be more specific, perceived usefulness was significantly correlated with both attitude toward wearable computer and acceptance intention of the wearable computer. Perceived value was also significantly correlated with both attitude toward wearable computer and acceptance intention of the wearable computer. The results of this study also suggested that perceived ease of use was actually a causal antecedent to perceived usefulness and perceived value. This research revealed that extended TAM to investigate the acceptance of wearable computer was appropriate. This study is intended to provide a theoretical framework for adoption of wearable computer and suggest empirical analysis that can serve as a guide for wearable computer.

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