• Title/Summary/Keyword: Technical Acceptance Model (TAM)

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An Exploratory Study for Artificial Intelligence Shopping Information Service (인공지능 쇼핑 정보 서비스에 관한 탐색적 연구)

  • Kim, Hey-Kyung;Kim, Wan-Ki
    • Journal of Distribution Science
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    • v.15 no.4
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    • pp.69-78
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    • 2017
  • Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

Empirical Study about Relationship between Factors Influencing Korean User's Intention to Use the Internet Banking Service (국내 인터넷 뱅킹 사용자의 이용의도에 영향을 미치는 요인간 관계에 관한 실증연구)

  • Lee, Kun-Chang;Chung, Nam-Ho;Lee, Jong-Shin
    • Asia pacific journal of information systems
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    • v.12 no.3
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    • pp.191-212
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    • 2002
  • Recently, Internet banking becomes a major trend in the financial marketplace. However, there are few researches to investigate relationship between factors influencing user's intention to use the Internet banking service. Therefore, this paper is aimed at analyzing the Internet banking service user's intention to use empirically. Our research framework is basically based on TAM(Technology Acceptance Model) proposed by Davis(1989). Empirical results using path analysis revealed that experience has a direct relationship with intention to use, while those three factors like perceived risk, self-efficacy, technical support indirectly affect intention to use.

A study on the effect of online shopping mall characteristics on consumers' emotional response, perceived value and intention to revisit based on the Extended Technology Acceptance Model(TAM2) (온라인 쇼핑몰 특성이 감성적 반응과 지각된 가치, 재이용의도에 미치는 영향: 확장된 기술수용모델(TAM2)을 중심으로)

  • Shim, Taeyong;Yoon, Sungjoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.4
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    • pp.374-383
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    • 2020
  • This study verified the difference in the influence on the value principles held by the consumers while examining the influence of the characteristics of the online shopping mall on the purchase intent by using a TAM2 model. First, the characteristics of online shopping malls were proven to have a positive effect on the perceived ease of use and perceived utility. Second, a look at the effect of the online shopping mall characteristics on the emotional response shows that only the system quality and product quality variables had a positive effect on the emotional response. Third, the perceived ease of use, perceived utility and emotional response of online shopping mall users had a positive effect on their perceived value. Fourth, multi-group analysis was conducted to examine the difference between utilitarian goods and hedonic goods by categorizing what was purchased at online shopping malls. The results showed differences between the groups. This study is attempted to investigate various influencing factors on consumers' intention to revisit online shopping malls. In addition, the author also attempted to understand the behavior of online shopping mall visitors by dealing with more than the technical attributes and emotional aspects of shopping malls.

A Study on Factors Affecting the Acceptance of E-Learning Class Using Technology Acceptance Model (기술수용모델을 이용한 사이버강의 수용의 영향요인)

  • Chang, Chung-Moo;Kim, Tae-Ung;Lee, Won-Jun
    • Journal of Technology Innovation
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    • v.12 no.3
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    • pp.1-24
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    • 2004
  • E-Learning is another way of teaching and learning. E-learning is a networked phenomenon allowing for instant revisions and distribution, and goes beyond training and instruction to the delivery of information and tools to improve performance. The benefits of e-learning are many, including cost-effectiveness, enhanced responsiveness to change, consistency, timely content, flexible accessibility, and providing customer value. The proponents of e-learning stress the importance of using communities of interest to support and enhance the learning process. They also emphasizes that people learn more effectively when they interact and are involved with other people participating in similar endeavors. Although the role of e-learning in higher education has significantly increased, the resistance to new technology by professors and lecturers in university and colleges worldwide remains high. The purpose of this study is to identify the determinants of attitude and planned behavior toward e-learning class in universities. A survey methodology was used to investigate a proposed model of influence, and structural equation modeling was used to analyze the results. The hypothesized model was largely supported by this analysis, and the overall results indicate that attitude toward e-learning systems is mostly influenced by the perceived ease of use as well as the level of perceived usefulness, where both factors are influenced by years of experiences in using cyber system and the technical support level. As in other TAM related research, it can be concluded that the perceived ease of use and perceived usefulness contribute to the future use of e-learning system.

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A Study of Factors Affecting Continuous Intention of Social Network Games : Focusing on Smart Device Users (소셜 네트워크 게임의 지속사용의도에 영향을 미치는 요인에 관한 연구 : 스마트 기기 사용자를 중심으로)

  • Kim, Jeongwook;Jang, Choulho
    • Journal of Information Technology Services
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    • v.13 no.3
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    • pp.235-255
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    • 2014
  • Social Network Service (SNS) with emergence of Web 2.0 have been developed rapidly. Unlike other games, social network game is based on the relationship with smart devices and studied for user-centered behavior as a potential factor derived from the Technical Acceptance Model (TAM). This research is conducted for finding out influencing factors on continuous intention for smart device users. Therefore, the independent variables consist of subjective norm, mobility, playfulness, self-efficacy, and ease of use. The intermediate variables also compose of flow, and user satisfaction and the dependent variables as continuous intention. The result of study shows the following: First, subjective norm, playfulness, self-efficacy and ease of use except mobility have the positive effect on user flow. Second, subjective norm, mobility, playfulness and ease of use except self-efficacy have significantly the positive effect on user satisfaction. Finally, user flow has significantly the positive effect on user satisfaction and continuance intention and a factor of user satisfaction have significantly the positive effect on continuance intention.

A Study on the Behavioral Factors to Influence Adoption of an Innovative Financial Product (금융서비스 유통상의 혁신수용에 관한 연구 - 인터넷뱅킹을 중심으로-)

  • 제진훈;박윤재;김광용
    • Journal of Distribution Research
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    • v.7 no.1
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    • pp.61-86
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    • 2002
  • The number of people who perform their banking business on Internet has been increasing drastically during the recent period and the trend still continues. Banks and other types of financial institutions are now competing intensely with each other in attracting customers to this new innovative banking service. The marketers in charge of formulating and implementing the strategies for this new banking business need to understand the behavioral factors as well as the technical factors in order to succeed in attracting more customers to this new service. products. A deep understanding as to why and how the customers are adopting the new service developed on information technology is a prerequisite for a successful marketing effort. The purpose of this dissertation is to find out what factors are playing important roles in the customers'decision related to the adoption of the Internet banking services. The focus of the research is threefold. First. by testing the hypotheses proposed by the Technology Adoption Model, a well-known theory in the IT-related behavioral science, an analysis was made as to which factors are more important in affecting the attitudes and adoption of the Internet banking on the part of customers. Secondly, an analysis was made as to whether the three criteria of the Technographics- -the attitude toward new technology, level of income, and the motivational factor- -are useful as the criteria for segmenting the Korean users of the online banking. Thirdly, an analysis was made as to whether each customer group segmented by the criteria of the Technographics reveal a differential decision process and thus requires a differential approach strategywise.

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A Study on the Factors Affecting the Usage Intentions of 5G Mobile Communication Service (5G 서비스의 이용의도에 영향을 미치는 요인에 관한 연구)

  • Jeong, Man Soo;Hong, Dae Sik;Ji, Yong Gu
    • The Journal of Society for e-Business Studies
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    • v.25 no.1
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    • pp.135-176
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    • 2020
  • This study is to investigate the factors affecting the usage intentions of 5G service between 5G service subscribers and non-subscribers based on the Integratively Extended Technology Acceptance Model in the initial B2C 5G service market. We designed the integratively extended technology acceptance model to find the more specific factors to affect the usage intentions by integrating the exogenous factors including the technical factors, the social factors, and the personal factors with the ETAM(Extended Technology Acceptance Model). Referring to the previous studies, we constructed the hypotheses of structural influence relationship from the exogenous factors to the dependent usage intentions factors through the mediating belief factors. We designed the 5G service usage intentions model based on these hypotheses and operational definitions of the factors. Using the analysis of SEM(Structural Equation Model), the proposed model and the hypotheses were empirically tested by the data collected from 245 subscribed respondents and 245 non-subscribed respondents. As a result, the perceived ease of use has an effect on the perceived usefulness and enjoyment, and the perceived usefulness/enjoyment and the personal innovativeness have positive effects on the usage intentions of both groups.

A Study on the Determinants of Blockchain-oriented Supply Chain Management (SCM) Services (블록체인 기반 공급사슬관리 서비스 활용의 결정요인 연구)

  • Kwon, Youngsig;Ahn, Hyunchul
    • Knowledge Management Research
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    • v.22 no.2
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    • pp.119-144
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    • 2021
  • Recently, as competition in the market evolves from the competition among companies to the competition among their supply chains, companies are struggling to enhance their supply chain management (hereinafter SCM). In particular, as blockchain technology with various technical advantages is combined with SCM, a lot of domestic manufacturing and distribution companies are considering the adoption of blockchain-oriented SCM (BOSCM) services today. Thus, it is an important academic topic to examine the factors affecting the use of blockchain-oriented SCM. However, most prior studies on blockchain and SCMs have designed their research models based on Technology Acceptance Model (TAM) or the Unified Theory of Acceptance and Use of Technology (UTAUT), which are suitable for explaining individual's acceptance of information technology rather than companies'. Under this background, this study presents a novel model of blockchain-oriented SCM acceptance model based on the Technology-Organization-Environment (TOE) framework to consider companies as the unit of analysis. In addition, Value-based Adoption Model (VAM) is applied to the research model in order to consider the benefits and the sacrifices caused by a new information system comprehensively. To validate the proposed research model, a survey of 126 companies were collected. Among them, by applying PLS-SEM (Partial Least Squares Structural Equation Modeling) with data of 122 companies, the research model was verified. As a result, 'business innovation', 'tracking and tracing', 'security enhancement' and 'cost' from technology viewpoint are found to significantly affect 'perceived value', which in turn affects 'intention to use blockchain-oriented SCM'. Also, 'organization readiness' is found to affect 'intention to use' with statistical significance. However, it is found that 'complexity' and 'regulation environment' have little impact on 'perceived value' and 'intention to use', respectively. It is expected that the findings of this study contribute to preparing practical and policy alternatives for facilitating blockchain-oriented SCM adoption in Korean firms.

Impact of the Physical Characteristics of Smart Wristbands and Smartwatches on Perceived Functional, Aesthetic, And Symbolic Values (스마트팔찌와 스마트워치의 물리적 특성이 지각된 기능적, 심미적, 상징적 가치에 미치는 영향)

  • Soo In Shim;Heejeong Yu
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.525-532
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    • 2024
  • This study explores the impact of physical characteristics (e.g., shape, color, material, size, weight, technical features) of smart wristbands and smartwatches on consumers' perceived functional, aesthetic, and symbolic values using an extended technology acceptance model. An online survey was conducted with adult residents of the United States who had experience using smart wristbands or smartwatches. Participants were asked about various physical characteristics of products they had used in the past year or were currently using, and their evaluations of these characteristics. The results revealed that the shape of the front display shape significantly influenced symbolic value, with circle shape and square shpae showing significantly higher symbolic value than rectangle shape. Wristband materials also had a significant impact on symbolic value, with metal and leather showing higher symbolic value among various materials. Additionally, an increase in product size was associated with higher symbolic value. Moreover, certain technical features such as activity tracker, alarm clock, and distance tracking influenced perceived functional value, while functions like time display, GPS, and email influenced perceived aesthetic value. Pedometer, GPS, and email were found to enhance perceived symbolic value. These findings provide valuable insights into consumer preferences for smart wristbands and smartwatches, serving as valuable information for product improvement and new product development.