• Title/Summary/Keyword: acceptance of innovative technology

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A Model of User Adoption of Mobile Games (모바일게임 플레이 의도의 영향요인 연구)

  • Han, Kwang-Hyun;Kim, Tae-Ung
    • Asia pacific journal of information systems
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    • v.16 no.2
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    • pp.123-141
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    • 2006
  • Mobile games have emerged as the most innovative entertainment technology, adding new revenue streams, taking advantage of the potential of wireless applications and service offerings. Mobile games, as well as PC games, Video games and online games, offer a unique value for users in providing an exciting digital experience in virtual worlds. The overall trend for mobile games is towards bigger, more colorful, more involving and exciting contents, which might build upon the developing capabilities of mobile phones and networks, in order to bring new styles, concepts and experiences of game play to the users. In this paper, we investigate the factors influencing the usage and acceptance of the mobile games, based on the extended version of the Technology Acceptance Model (TAM). Based on data collected from online survey, we show that perceived usefulness, ease of use are the major determinants for mobile game users to play games. Four factors, including ease of use, self-expressiveness, visibility, and innovativeness are empirically shown to determine the level of perceived usefulness; additionally, innovativeness and facilitating conditions are shown to directly affect ease of use. Based upon the statistical results, some useful guidelines for game development and market penetration strategies are also provided.

2009-2022 Thailand public perception analysis of nuclear energy on social media using deep transfer learning technique

  • Wasin Vechgama;Watcha Sasawattakul;Kampanart Silva
    • Nuclear Engineering and Technology
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    • v.55 no.6
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    • pp.2026-2033
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    • 2023
  • Due to Thailand's nuclear energy public acceptance problem, the understanding of nuclear energy public perception was the key factor affecting to re-consideration of the nuclear energy program. Thailand Institute of Nuclear Technology and its alliances together developed the classification model for the nuclear energy public perception from the big data comments on social media using Facebook using deep transfer learning. The objective was to insight into the Thailand nuclear energy public perception on Facebook social media platform using sentiment analysis. The supervised learning was used to generate up-to-date classification model with more than 80% accuracy to classify the public perception on nuclear power plant news on Facebook from 2009 to 2022. The majority of neutral sentiments (80%) represented the opportunity for Thailand to convince people to receive a better nuclear perception. Negative sentiments (14%) showed support for other alternative energies due to nuclear accident concerns while positive sentiments (6%) expressed support for innovative nuclear technologies.

A Study on the Effect of Personal Innovativeness on QR Code Users' Behavioral Intention (개인 혁신성이 QR코드 사용자의 행동의도에 미치는 영향)

  • Lee, Seung-Bae
    • Journal of the Korea Management Engineers Society
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    • v.23 no.4
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    • pp.33-48
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    • 2018
  • Despite that QR codes are spreading worldwide in Pin Tech, logistics distribution, etc., South Korea is staying at the level of using QR codes in limited areas such as website connection and marketing communication. The purpose of this study is to propose measures for more effective use of QR codes by examining the effects of personal innovativeness on user's behavioral intentions by applying personal innovativeness to QR codes. To this end, this study was intended to examine the relationships between performance expectancy (PE), effort expectancy (EE), social expectancy (SE), and personal innovativeness, which are variables used in the Unified Theory of Acceptance and Use of Technology (UTAUT) model among innovative technology acceptance models, and behavioral intentions. For this study, a questionnaire survey was conducted with students in collages in the metropolitan area in May 2018 and the results were statistically verified using IBM SPSS 21. The results showed that PE, EE, and SE had significant positive(+) effects on personal innovativeness and behavioral intentions of QR code users. The mediating effects of personal innovativeness were tested and the results indicated that personal innovativeness partially mediates between PE and behavioral intentions and between EE and behavioral intentions but not between SE and behavioral intentions. The fact that since QR codes are expressed as a component to users through other media rather than its internal factors, the personal innovativeness of QR code users plays an important role in increasing the use of QR codes could be identified through this study.

Extended Technology Acceptance Model for Enhanced Distribution Strategies to Online Learning: Application of Phantom Approach

  • Izzat ISMAIL;Asyraf AFTHANORHAN;Noor Aina Amirah MOHAMAD NOOR;Nurul Aisyah Awanis A RAHIM;Sheikh Ahmad Faiz Sheikh Ahmad TAJUDDIN;Muhammad Takiyuddin Abdul GHANI
    • Journal of Distribution Science
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    • v.22 no.4
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    • pp.1-10
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    • 2024
  • Purpose: This study is aimed to introduce the application of phantom approach with structural equation modelling method for online learning. By integrating these innovative methodologies, the research seeks to advance the understanding of how the phantom approach can effectively complement and augment structural equation modeling techniques. Research design, data and methodology: A theoretical framework of Technology Acceptance Model (TAM) was modified and updated. A questionnaire was developed and used to extract information from 189 instructors who used online learning as their primary medium. The Covariance Based Structural Equation Modelling (CBSEM) was applied to test the direct effects and the phantom approach is used to handle the 2 mediators in the model. Results:social influence, perceived usefulness, and perceived ease of use exerted discernible impacts on instructors' intentionsto engage in online learning. These findings illuminate the intricate dynamics influencing instructor behavior within the realm of online education, underscoring the significance of various factors in shaping their intentions. Conclusions: In additions, the perceived usefulness and perceived ease of use had mediated the effect of social influence and instructor intention using phantom approach. Therefore, one can have concluded that this modified model was also confirmed, thereby reinforcing distribution strategies to online learning and overall education presence.

The Structural Relationships among Innovation Characteristics, Consumer Characteristics, Innovation Resistance, and Intention to Acceptance of Wearable Device Customers: Based on Innovation Resistance Model and Theory of Perceived Risk (웨어러블 디바이스 소비자의 혁신특성, 소비자특성, 혁신저항, 그리고 수용의도와의 구조적 관계: 혁신저항모형과 인지된 위험이론을 기반으로)

  • Bae, Jae Kwon
    • The Journal of Information Systems
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    • v.25 no.4
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    • pp.87-104
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    • 2016
  • Purpose As the smartphone market arrived at its saturation, from world leading information and communications technologies (ICT) businesses to startups, companies are competing to develop innovative wearable device products and suitable contents. Utility, technology, design, price, and various killer contents development targeting every customer's need should be considered for a success in the wearable device market. Design/methodology/approach Prior studies on innovation technology of ICT field have mainly focused on the innovation diffusion theory, expectation confirmation theory, and technology acceptance model, this study suggested the innovation resistance factors of adopting the smart wearable devices based on the innovation resistance model and theory of perceived risk. The model comprises the following two characteristics factors: 1) innovation characteristics which include perceived relative advantages, perceived compatability, perceived complexity, and perceived risk, 2) consumer characteristics which include attitudes towards innovation and existing products (i.e., mobile devices and analog watches). This study developed an extended innovation resistance model to explain the intention to acceptance of wearable devices consumers and collected 284 online survey responses from the non-consumers of the wearable devices. Findings The findings of this study suggest that perceived relative advantage, perceived compatibility, perceived complexity, perceived risk, attitudes towards innovation and attitudes towards existing analog watches affected the innovation resistance which has negative influence on the intention to adoption of wearable devices.

A Study on the Key Factors in User Acceptance of the Smart Clothing (스마트웨어의 수용 요인에 대한 연구)

  • Hong, Ji-Young;Chae, Haeng-Suk;Han, Kwang-Hee
    • Science of Emotion and Sensibility
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    • v.9 no.spc3
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    • pp.235-241
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    • 2006
  • This paper predict user acceptance of smart clothing. The present research develops and validates new products for smart clothing. Studies suggest that further analysis of the process be undertaken to better establish properties for smart clothing, underlying structures and stability over innovative technologies. The findings reported in this paper should be useful methods which identify user needs. such findings in now provide a way to explain technology acceptance. Both of qualitative and quantitative methods, were applied to this study in order to find out user needs for smart clothing. We are writing scenarios and conducting both focused group interviews and a survey to assess the user's interest. The purpose of the survey is to evaluate the importance of the functions and to evaluate the degree of the participant's feeling and attitude. Furthermore, we explore the nature and specific influences of factors that may affect the user perception and usage.

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A Study on the Factors Affecting the Acceptance of Logistics Robot in the Fulfillment Center Using the Technology Acceptance Model (기술수용모형을 통한 물류센터 내 물류로봇 구매의도에 영향을 미치는 요인에 관한 연구)

  • Hwang, Hyeon-Chul;Song, Sang-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.12
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    • pp.287-297
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    • 2019
  • Responding to the rapid delivery demands and variety of small-volume products through human resource-dependent logistics operations in online markets is difficult. Logistics robots in fulfillment centers are expected to increase due to difficulties in hiring workers and rising labor costs. Amazon operates more than 100,000 robots in its Fulfillment centers. Alibaba, DHL, and UPS are also introducing robot technology to improve the logistics efficiency. Logistics robots are being used actively in the fierce online market competition of the global distribution industry. On the other hand, Korea is relatively sluggish. To revitalize the introduction of logistics robots in Korea, it is necessary to examine the factors that influence acceptance. The description of acceptability was based on an expanded technology acceptance model that has been verified through various studies. Studies have shown that both the ease and usefulness of purchasing have significant effects, and that ease has the greatest effect. The more experience involved, the more innovative, the more positive. The usefulness was shown to be positive as the perceived risks are low, price efficiency is good, and social impact is greater. This study provides theoretical and practical implications for logistics robot development and marketing.

A Study on the Factors Influencing on the Intention to Continuously Use a Smart Factory (스마트 팩토리 지속사용의도에 영향을 미치는 요인에 관한 연구)

  • Kim, Hyun-gyu
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.2
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    • pp.73-85
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    • 2020
  • While Korea became one of manufacturing powers in the world through a fast-follower strategy as well as implementing the approach of advancing manufacturing business focused on quantitative input, The advent of the fourth industrial revolution and demand becoming more complicated than ever both require a system that quickly detects the change of markets in advance and reflects it in the manufacturing strategy. Accordingly, the introduction of a smart factory is not optional but mandatory in order to strengthen the competitiveness of manufacturing business using ICT. This paper aims to investigate key factors having influence on the intention to continuously use a smart factory, the innovative IT device, on the basis of the technology acceptance model. This paper analyzed the influence of the leadership of CEO, organizational learning and perceived switching costs on the intention to continuously use a smart factory by the parameters of perceived ease of use and usefulness, the major belief valuables of the IT acceptance model.

Factors Affecting the Adoption of Innovative Service System in Public Sectors : A Case Study on Implementing Double Entry Bookkeeping With Accrual Basis in Government Accounting System (공공부문의 서비스 혁신 수용에 관한 실증연구 : 중앙정부 및 지방자치단체 회계담당자의 복식부기${\cdot}$발생주의 회계시스템 도입에 관한 사례를 중심으로)

  • Pyun Ho-Bum;Han Kwang-Hyun;Kim Tae Ung
    • Korean Management Science Review
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    • v.22 no.1
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    • pp.103-125
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    • 2005
  • Korean government is planning to adopt double entry bookkeeping with accrual basis in the government accounting system. This paper attempts to identify influencing attitudes of information producers toward the acceptance of the new service system. Several models are introduced, including Luder's Contingency Model, Cheng's Politico-Economic Model of Accounting Policy Choice, Roger's Diffusion of innovation, and Davis's Technology Acceptance Model(TAM). A set of constructs are developed as fellows : information producers' knowledges, experiences, altitudes toward the reform, characteristics of cash based accounting system and new accrual based system, a chief executive officer's willingness to support, availability of supporting systems, and social Influences from external environment. This study also incudes hey factors used in TAM, such as perceived usefulness and ease of use. Survey responses are gathered from accounting officers in government ministries and agencies as well as from local governments. Regression analysis shows that, for information producers, both 'perceived ease of use' and 'perceived usefulness' of the new system are the best explanatory variable for the dependent variable. It has also found that 'perceived usefulness' is explained best by individual characteristics such as knowledge and experiences, quality of current cash based s1n91e entry bookkeeping system, chief executive's support, Positive supporting systems and social influences. The useful guidelines for implementing double-entry bookkeeping system with accrual basis are also provided.

Urban Uses of Underground Space around the World

  • Nelson, Suasn R.
    • Tunnel and Underground Space
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    • v.2 no.1
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    • pp.1-10
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    • 1992
  • As our global population grows each day, it is apparent that we must find new ways to provide space for habitation and the services necessary to support large urban areas. It is no longer advisable nor acceptable to continue to expand our cities on the surface, encroaching on valuable agricultural land and open space. We must also find ways to be more energy efficient in every aspect of our societies. Effective use of underground space can provide the space necessary to accommodate larger populations and the services necessary for their support in existing urban areas we can also find new ways to utilize underground facilities to improve urban efficiency and function. Underground technology has improved dramatically in the last two decades and continues to evolve to meet a great variety of applications. The confluence of available technology, economic feasibility, and greater acceptance of underground solutions with recognition of the need to change the ways we build and use out urban areas and their surrounding environment indicates that we are witnessing only the beginning of appropriate and innovative use of underground space future generations will indeed 'Think deep'.

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