• Educational Technology International
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• v.11 no.1
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• pp.119-143
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• 2010

This study was conducted to find out the relationship between teaching presence and self-directed learning readiness in e-learning environment. 219 cyber university students finished the web-formatted questionnaires. The Self-Directed Learning Readiness Scale-Adult Based Education instrument and Teaching Presence Scale instrument were used. The results of the present study can be concluded as follow. First of all, teaching presence and self-directed learning readiness have a very high relationship in e-learning environment. Secondly, all five components of teaching presence have significant correlations with self-directed learning readiness. Thirdly, depending on the results of multiple regression analysis, only components of instructional contents and facilitating communication predict the self-directed learning readiness.

• Journal of the Korean Society of Systems Engineering
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• v.11 no.2
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• pp.1-11
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• 2015

During the industrial plant system life cycle, required technologies are developed and assessed to analyze their performance, risks and costs. The assessment is called technology readiness assessment (TRA) and the measure of readiness is called technology readiness level (TRL). The TRL consists of 9 levels and through the TRL assessment, the technology to be developed and its components are assigned to their appropriate TRL. TRL assessment should be performed in each life cycle stages to monitor the technology readiness and analyze the potential risks and costs. However, even though the concept of TRL has been largely adopted by numerous organizations and industry, direct and clear assignment of target TRL for each life cycle stage has been overlooked. Direct mapping/assignment of target TRL for each life cycle has benefits as follow: (1) the technical risks condition of each life cycle stage can be better understood, (2) cost incurred if the technology development is failed can be analyzed in each life cycle stage, and (3) more effective decision making because the technology readiness achievement for each life cycle stages is agreed beforehand. In this paper, we propose a steel-making plant system life cycle and TRL assignment to each of the system life cycle stage. By directly assigning target TRL for each life cycle stages, we look forward to a more coordinated (in terms of exit criteria) and highly effective (in terms of technical risks identification and eventually prevent project failure) technology development and assessment processes.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.730-742
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• 2019

This study investigated the influence of the perceived characteristics of AR fashion retail technology on value co-creation and continued use intention. This study also examines the moderating role of technology readiness in the effects of the perceived characteristics of AR fashion retail technology on value co-creation. A total of 241 university students who had experience using AR fashion retail technology completed the questionnaire. The results were as follows. First, there were five factors in the perceived characteristics of AR fashion retail technology: presence, aesthetic attractiveness, ease of use, shopping usefulness, and perceived enjoyment. Second, aesthetic attractiveness, shopping usefulness, and perceived enjoyment had positive impacts on value co-creation. Third, value co-creation had a positive impact on continued use intention of AR retail technology. Fourth, there were significant differences in the effect of aesthetic attractiveness and shopping usefulness on value co-creation by the innovativeness dimension of technology readiness. Fifth, there was a significant difference in the effect of ease of use on value co-creation by the optimism dimension of technology readiness. The results of this study should provide guidance for marketers or retailers interested in the application of AR fashion retail technology in their stores.

• Journal of Korean Academy of Rural Health Nursing
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• v.17 no.1
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• pp.34-41
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• 2022

Purpose: This study attempted to investigate the influence of attitude toward the use of new technology and technological readiness on the intention of new technology acceptance among the elderly aged 65 or older living in small and medium-sized cities. Methods: Ninety-eight people age 65 or above participated in the study. The collected data were analyzed using an independent t-test and ANOVA with the Scheffé test. The Pearson correlations between attitude, technology readiness, and intention of new technology acceptance were analyzed, and factors affecting intention of new technology acceptance were analyzed using multiple regression analysis. Results: The factors affecting the elderly's intention to accept new technologies were innovation in technology readiness (β=.52, p<.001) and educational level (β=-.22, p=.018). Conclusion: Based on these findings, it is necessary to develop strategies and educational programs for the socioeconomically vulnerable elderly to improve their intention to accept new technologies.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.6
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• pp.835-843
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• 2017

The Technology Readiness Assessment(TRA) has the advantage of identifying immature technologies in promoting weapon system research and development project. However, a more diverse set of information is required for the determination of phase shift and technical risk management for weapons system R&D projects. In this paper, we investigate the various indexes the various indexes proposed to overcome the limitations of the Technology Readiness Level(TRL) and analyze the possibility of applying to the actual weapons system R&D projects. Based on the analysis, it was possible to provide additional information that could not be presented in TRA using technical risk indexes other than TRL, confirming that it could be used for technical risk management for weapons system R&D projects.

• Health Policy and Management
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• v.20 no.3
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• pp.58-72
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• 2010

The purpose of this study is to investigate determinants of intent to use a wireless information technology(WIT) of University Hospital Nurses. The independent variables used in the study are usefulness, compatibility, social environment, perceived readiness, technical readiness, organizational readiness and socio-demographic characteristics. The dependent variable is the intent to use a wireless information technology(WIT). The sample used in this study consisted of 297 nurses selected from a university hospital located in Wonju, Gangwon-do, Korea Data were collected with self-administered questionnaires and analyzed using multiple regression analysis. The results of the study revealed that 5 independent variables of usefulness, compatibility, perceived readiness, technical readiness, and organizational readiness were found to have significant effects on the nurses' intent to use a WIT. As a conclusion, it is important to make organizational, clinical, and technical environment WIT-friendly prior to applying WIT to hospital nurses. In addition, it is also important to provide an education and training for nurses to improve their skill of using WIT and to make the new WIT compatible with the existing nursing information system.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.1
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• pp.60-69
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• 2009

Recently, request far application of advanced commercial technology to the defense acquisition process, to reduce the budget and shorten development time, has been increased. To accomplish these goals, the Advanced Concept Technology Demonstration(ACTD) is used for the defense acquisition process in Korea. And User Utility Assessment is tested to make a decision for transition to acquisition process. But this process does not include measurement of technology maturity and impacts of interface and interaction among the technologies. In this research, we propose the needs of measurement of TRL and IRL and application of SRL to reduce the risk during development phase, to understand the relations of technologies, and to fulfill the requirement far transition of the ACTD project to system development and demonstration process.

• Journal of Preventive Medicine and Public Health
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• v.56 no.1
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• pp.77-87
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• 2023

Objectives: It is critical to assess community readiness (CR) when implementing childhood obesity prevention programs to ensure their eventual success and sustainability. Multiple tools have been developed based on various conceptions of readiness. One of the most widely used and flexible tools is based on the community readiness model (CRM). This study aimed to adapt the CRM and assess the validity of a community readiness tool (CRT) for childhood obesity prevention programs in Iran. Methods: A Delphi study that included 26 individuals with expertise in 8 different subject areas was conducted to adapt the CRM into a theoretical framework for developing a CRT. After linguistic validation was conducted for a 35-question CR interview guide, the modified interview guide was evaluated for its content and face validity. The quantitative and qualitative analyses were performed using Stata version 13 and MAXQDA 2010, respectively. Results: The Delphi panelists confirmed the necessity/appropriateness and adequacy of all 6 CRM dimensions. The Persian version of the interview guide was then modified based on the qualitative results of the Delphi study, and 2 more questions were added to the community climate dimension of the original CRT. All questions in the modified version had acceptable content and face validity. The final CR interview guide included 37 questions across 6 CRM dimensions. Conclusions: By adapting the CRM and confirming linguistic, content, and face validity, the present study devised a CRT for childhood obesity prevention programs that can be used in relevant studies in Iran.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.1-19
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• 2023

This study is a study on the effect of technical readiness factors on counselors' intention to use when applying AICC. AICC counselors experience improved customer service and emotional stability by receiving various monitor notification window services based on artificial intelligence algorithms such as customer counseling history, prohibited word control system, and customized counseling system. Accordingly, this study tried to verify using factors derived from technology readiness theory and technology acceptance theory among the factors affecting the intention to continue using AICC provided to counselors. To verify the research hypothesis, the causal relationship between variables such as Optimism, Innovativeness, Discomfort, Insecurity, and Technology Acceptance Theory, such as Team Support, Ease of Usage, and Innovation Resistance, was verified. As a result of empirical analysis, first, it was verified that Optimism has a positive (+) effect on Team Support and Ease of Usage, and Discomfort and Insecurity have a negative (-) effect on Ease of Usage and Team Support. Second, it was confirmed that Team Support and Ease of Usage had a positive effect on the Intention to use AICC. Based on the above empirical analysis results, the concepts of Technical Readiness were clearly proved, and in practical terms, AICC helped inquiry, quality evaluation, recording, and management of counseling history, ultimately increased corporate work efficiency.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.2
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• pp.144-149
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• 2015

In this study, the effective technology readiness assessment (TRA) method for system development project is suggested. We analyze the domestic and foreign TRA practice and derive the new idea to resolve the problems found from the analysis. Domestic and foreign organizations develop and use checklist for the precise TRA, but the checklist has some problems in type of questions and analysis of assessment. TRA method using the original TRL definition or the checklist should be selected depending on the project characteristic. Questions of the checklist should be classified into critical or non-critical according to their importance. Finally, Test and evaluation master plan (TEMP) in system engineering process can provide an obvious criteria to assess technology readiness level (TRL) of critical technology elements (CTE) composing the system.