• 제목/요약/키워드: Technology Adoption Model

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Communal Antecedents in the Adoption of Secure Coding Methodologies

  • Kim, Sung Kun;Kim, Ji Young
    • Asia pacific journal of information systems
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    • 제26권2호
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    • pp.231-246
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    • 2016
  • Technology acceptance model has demonstrated that technology adoption behavior can be explained by two user belief constructs: perceived usefulness and perceived ease of use. A number of studies have explored how these beliefs develop by utilizing primarily individual-level antecedents. However, because innovation and new techniques bear a direct relation to social concerns, non-individual antecedents may be necessary. Therefore, in this study, social and organizational supports are used to understand how software developers foster beliefs regarding secure coding practices. We compiled data from 83 software developers to evaluate the technology acceptance model. Our findings show that these collective antecedents can effectively explain user belief constructs and the intention to adopt secure coding methodologies. These findings imply that society and organizations offering more concrete support programs will experience smoother deployment of security-enhancing measures.

RFID Implementation Readiness Model : Impact of Technology, Human, Vender, and Task Factors

  • Lim, Se-Hun
    • 디지털융복합연구
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    • 제9권1호
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    • pp.71-87
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    • 2011
  • Currently, many companies are interested in (Radio Frequency Identification (RFID). Nonetheless, technical imperfection and the uncertainty of Return on Investment (ROD is discouraging the companies' intention to implement RFID. Accordingly, while a number of companies concede the efficiency of RFID, few of them expresses enthusiasm, making a rain check to adopt RFID. Moreover, the recent economic depression has down-sized the companies' investment on Information Technology (IT), subsequently hindering RFID implementation. In adopting RFID, the collaboration of supply chain is the most importance factor. Therefore, in implementing RFID, many companies reinforced collaboration of supply chain. Therefore, this study will focus on performing an analysis on several factors which influence the intention to adoption of RFID, such as the human factor, technology factor, vender factor and task factor. The results of this study will provide useful guidelines for RFID adoption strategy to Korean companies.

Unveiling the Effects of ICT Adoption in the Apparel Sector of Bangladesh Based on Technology-Organization-Environment Framework

  • S.M. Shafiul Alam
    • Asia pacific journal of information systems
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    • 제33권4호
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    • pp.977-998
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    • 2023
  • The study is based on the technology-organization-environment (TOE) model which, attempted to determine the factors that are going to influence ICT adoption. The proposed research model evaluates the interplay among technological context (IT infrastructure, system security, and user capacity), organizational context (top management commitment, and innovations strategies), environmental context (quick response to the external agencies, interactive network infrastructure, and competitive pressure) and ICT adoption (productivity growth, organizational change, and competitiveness). Data were collected from 243 senior executives of full member firms of the Bangladesh Garments and Manufacturers Association (BGMEA) of examining the relationships among the constructs in the proposed framework utilizing structural equation modeling (SEM). The analysis of TOE factors revealed that environmental, organizational, and technological factors have a significant impact on the successful implementation of ICT tools. The study also discusses implications for management practitioners.

Behavioral Intention to Use Wellness Wearables: A Conceptual Model Development

  • Niknejad, Naghmeh;Hussin, Ab Razak Che;Ghani, Imran
    • International Journal of Internet, Broadcasting and Communication
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    • 제10권3호
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    • pp.1-10
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    • 2018
  • Wearable Technology is going to be the biggest buzzword and the next generation of digital revolution in the near future. Wearables have changed the focus of the healthcare industry to prevention programs in order to encourage individuals to be more active and to take the responsibility of their own health. Although, the intention of consumers to use wellness wearables has been growing rapidly, the number of individuals who refuses continued use of such devices increases day-by-day. Diffusion and innovation of new technology could be more efficiently gained by consumer's adoption. So, it is extremely important for providers and designers to understand the impact of positive and negative factors on consumers' intention to use wellness wearables. Moreover, a unified framework is required for better understanding of individuals' behavioral intention for using wellness wearables. Thus, the goal of this study is to identify the potential factors that influence consumers' willingness to use wellness wearables as well as proposing a unified framework based on Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Value-based Adoption Model (VAM) with two extra factors, perceived trust and perceived health increase. The findings of this article improves the theoretical understanding of the engaged factors in the proposed research model of the study.

국방 AI 소요의 중복 최적화를 위한 AI 능력(Capability)의 역할 개념모델 연구 (A study on a conceptual model of AI Capability's role to optimize duplication of defense AI requirements)

  • 박승규;이중윤;이주연
    • 시스템엔지니어링학술지
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    • 제19권1호
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    • pp.91-106
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    • 2023
  • Multidimensional efforts such as budgeting, organizing, and institutionalizing are being carried out for the adoption of defense AI. However, there is little interest in eliminating duplication of defense resources that may occur during the AI adoption. In this study, we propose a theoretical conceptual model to optimize duplication of AI technology that may occur during the AI adoption in the vast defense field. For a systematic approach, the JCA of the US DoD and system abstraction method are applied, and the IMO logical structure is used to decompose AI requirements and identify duplication. As a result of analyzing the effectiveness of our conceptual model through six example defense AI requirements, it was found that the amount of requirements of data and AI technologies could be reduced by up to 41.7% and 70%, respectively, and estimated costs could be reduced by up to 35.5%.

Determinants of the adoption of new equipment at the individual level within an organization

  • Kim, Hye-Kyoung;Lee, Seung-Hee
    • 디지털융복합연구
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    • 제9권1호
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    • pp.37-49
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    • 2011
  • The purpose of this study is to develop a new equipment acceptance model in the industrial market and test it empirically using a field survey. To define new equipment acceptance factors of employees in the organization, we used the TAM as a useful model to analyze the acceptance process of new equipment. All of the data for the TAM were collected from the employees. Prior research studied the usage of general information technology using a computer and particular software, while we apply the TAM to the new equipment adoption. In this study, both theoretical review and empirical study were conducted and the model was set through the theoretical study which was tested through the empirical analysis. Management support and training/education were shown to have a positive effect on PU and PEOU. Personal innovativeness, management support, perceived usefulness and perceived ease of use were shown to have a positive effect on behavioral intention.

모바일 플랫폼 경쟁과 모바일 생태계에 관한 고찰 : 스마트폰 운영 플랫폼의 지속사용 의도를 중심으로 (An Analysis on Competition and Ecology of Mobile Platform : Based on the Continuous Usage Intention of Smart-Phone OS Platform)

  • 이보경;심선영
    • 한국IT서비스학회지
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    • 제11권2호
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    • pp.19-47
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    • 2012
  • Contemporary smartphone competition is generally described as the battle between Apple's proprietary platform and Google's open platform. However, this competition is not limited within smartphone adoption itself. User's pre-adoption of one mobile platform via smartphone can be connected to the post-adoption of the same mobile platform based on the other smart devices (e.g. smart pad). In this study, we investigate whether user's preference to a certain platform is persistent over mobile ecology, from the pre-adoption of one smart device to the post-adoption of following devices. For this investigation, we adopt the dual-model as the ground theory, where post-adoption of IT product is explained by both dedication and constraint factors. The empirical testing first evidences that dual model works well as our research model for identifying the reasons of post-adoption. Next, we group our data into two parts in order to compare the switching behavior of iPhone users and Android phone users. iPhone users show much lower switching rate to Android based smart pads, while Android phone users show higher churn rate to iPad (49.3% : 96.3%). Especially, satisfaction showed much stronger effect than switching cost on the continuing intention of existing platform, when the analysis is given to the iPhone user's group. From this result, we can conjecture the relatively stronger loyalty of iPhone users. More managerial implications on the mobile platform strategy are driven.

중소기업의 SaaS 채택의도의 영향요인에 관한 탐색적 연구 (An Exploratory Study on the SaaS Adoption Behavior of Small and Medium Sized Company)

  • 서광규
    • 디지털융복합연구
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    • 제10권11호
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    • pp.81-86
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    • 2012
  • 세계적인 경제 불황 환경에서 클라우드 컴퓨팅은 IT 분야에서 새로운 패러다임이 되었다. 본 논문은 클라우드 서비스 중에서 SaaS(Software as a Service) 초점을 두기로 한다. 기술수용모형(TAM)은 사용자가 새로운 기술을 어떻게 받아들이는 지를 연구하는데 활발하게 적용되어 왔으나, SaaS 채택과 관련된 이슈는 아직 연구되지 않았다. 본 논문의 목적은 중소기업의 SaaS 채택의도에 영향을 미치는 중요한 요인을 조사하기 위한 탐색 모델을 개발하는 것이다. 제안하는 탐색 모델은 마케팅 노력 등과 같은 요인들은 물론 기술수용모델과 관련된 중요한 요인을 파악하기 위한 가설들을 검증한다. 이를 통하여 본 연구에서는 회사 사용자들의 SaaS 채택에 관한 사용의도를 파악하는데 도움을 줄 수 있을 뿐만 아니라 SaaS 제공자들이 서비스 개발과 마케팅 전략의 향상을 위한 보다 노력해야할 요인들을 파악하는 데에도 도움을 줄 수 있다.

Predicting Online Learning Adoption: The Role of Compatibility, Self-Efficacy, Knowledge Sharing, and Knowledge Acquisition

  • Mshali, Haider;Al-Azawei, Ahmed
    • Journal of Information Science Theory and Practice
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    • 제10권3호
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    • pp.24-39
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    • 2022
  • Online learning is becoming ubiquitous worldwide because of its accessibility anytime and from anywhere. However, it cannot be successfully implemented without understanding constructs that may affect its adoption. Unlike previous literature, this research extends the Unified Theory of Acceptance and Use of Technology with three well-known theories, namely compatibility, online self-efficacy, and knowledge sharing and acquisition to examine online learning adoption. A total of 264 higher education students took part in this research. Partial Least Squares-Structural Equation Modeling was used to evaluate the proposed theoretical model. The findings suggested that performance expectancy and compatibility were significant predictors of behavioral intention, whereas behavioral intention, facilitating conditions, and compatibility had a significant and direct effect on online learning's actual use. The results also showed that knowledge acquisition, knowledge sharing, and online self-efficacy were determinates of performance expectancy. Finally, online self-efficacy was a predictor of effort expectancy. The proposed model achieved a high fit and explained 47.7%, 75.1%, 76.1%, and 71.8% of the variance of effort expectancy, performance expectancy, behavioral intention, and online learning actual use, respectively. This study has many theoretical and practical implications that have been discussed for further research.

Consumer Adoption of Self-Service Technologies: Integrating the Behavioral Perspective with the Technology Acceptance Model

  • ASHOUR, Mohammed L.;AL-QIREM, Raed M.
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.1361-1369
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    • 2021
  • Recent technological advancements have had a substantial impact on consumer buying behavior. This research aims to determine the factors affecting consumer behavior related to the adoption of self-service technologies (SSTs). The intended findings of this study are expected to contribute to understanding consumer behavior towards the adoption of SSTs taking into account the logic of two main theories in this regard: the Technology Acceptance Model (TAM) and the assumptions of the Behavioral Perspective Model (BPM). This research follows a triangulation approach. Consequently, a number of semi structured interviews were conducted with experts and executive directors from selected SSTs providers in Jordan. In addition, the convenience sampling technique was employed focusing on current (or) previous users of SSTs in the public and private sectors in Jordan using a self-administrative questionnaire (66% response rate). The results confirmed the influence (direct and indirect) of previous experience and personal initiatives and characteristics on consumer intention to use SSTs. In addition, the results indicated the important role of the mediator variables namely: perceived ease of use (EOU), perceived risk (PR), and perceived usefulness (PU) on consumer attitude towards SSTs which in turn will positively affect consumer intention to use SSTs.