• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.629-635
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• 2021

This study seeks to examine and analyze the influence of institutional strengthening factors, and capacity building - communication, resources, and training - on the performance of defense policy implementation. This study conducted a quantitative analysis related to the implementation of the institutional strengthening policy. The data used are primary data with a research instrument in the form of a questionnaire. The population in this study were all people in the city of Bandung, Indonesia. The sample of this study consisted of 200 respondents consisting of civilians and soldiers who served in the city of Bandung. Data analysis uses the Structural Equation Model (SEM) measurement model. The results of this study reveals that institutional strengthening (X1) influences positively and significantly capacity building's communication (Y1), resources (Y2), and training (Y3). On the other hand, the performance of defense policy implementation (Y4) is positively and significantly affected by capacity building's communication (Y1), resources (Y2), and training (Y3). The interaction between institutions, consumption support, role of the healthcare sector, and effectiveness are the most important indicators reflecting capacity building (communication, resources, training) and the performance of defense policy implementation. Essentially, this study analyzes the performance of defense policy implementation based on capacity building.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.573-581
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• 2021

This paper examines the effect of e-service quality on the users of the Facebook marketplace. Users can always have stickiness intention. Stickiness intention is regarded as repetitive visits to and use of a certain website because of a commitment to continue using that website. Hence, we examine and explain the influence of e-service quality variables on stickiness intention. The variables used for e-service quality include efficiency, fulfillment, system availability, and privacy. The researchers related stickiness intention variable to online media users who always use the Facebook marketplace longer than other marketplaces, and users who visit the Facebook marketplace more often than other marketplaces. The method of data analysis was using inferential statistics GeSCA method. The GeSCA method is a Structural Equation Modeling (SEM) technique that can directly analyze latent variables, indicators, and measurement errors. The results of the GeSCA method before the COVID-19 pandemic states that an increase in e-service quality by 77.5% will increase stickiness intention by 61.2%. The results of the GeSCA method after the COVID-19 pandemic states that an increase in e-service quality by 85.2% would increase stickiness intention by 81.1%. This indicates that Facebook marketplace users had more stickiness intention for the Facebook marketplace.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.1
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• pp.17-25
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• 2021

Ammunition Demilitarization facility (ADF) should be set up the feasible goals and continue to operate, taking into account non-profit characteristics. However, due to the lack of performance measurement methods in ADF, which are essential to national policy at a significant cost each year, the reliability of the evaluation results can be insufficient. In this paper, the Balanced Score Card (BSC) method was applied that could be evaluated to reflect the financial and non-financial features. The relevant literature research and army regulations reflected the results of various interviews of the expert group. The extraction of success performance area in ADF was confirmed using the BSC method and the Decision Variable (DV) candidate was created to use regression for selecting the DV. Additionally, the key performance indicator was presented by verification the feasibility of content by conducting the survey of experts. The implications of this paper are as follows. First, the proposed BSC model was found to be suitable for practical use in ADF reflecting the non-profit characteristics. Second, accurate evaluation of ADF can contribute to long-term development of ADF. Finally, it can be applied to the management process of the other military sector, so it can be expected to play a role in providing basic data and spreading it to other areas.

• The Journal of Information Systems
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• v.31 no.1
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• pp.271-287
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• 2022

Purpose This research aims to study the changes in recruitment needed for the growth and survival of companies in the rapidly changing industry. In particular, we built a real company's worklist accounting for the rapidly advancing data-driven digital transformation, and presented the capabilities and conditions required for work. Design/methodology/approach we selected 37 jobs based on NCS to develop the employment search requirements by analyzing the business characteristics and work capabilities of the industry and company. The business specification indicators were converted into a matrix through the TF-IDF process, and the NMF algorithm is used to extract the features of each document. Also, the cosine distance measurement method is utilized to determine the similarity of the job specification conditions. Findings Companies tended to prefer "IT competency," which is a specification related to computer use and certification, and "experience competency," which is a specification for experience and internship. In addition, 'foreign language competency' was additionally preferred depending on the job. This analysis and development of job requirements would not only help companies to find the talents but also be useful for the jobseekers to easily decide the priority of their specification activities.

• International Journal of Contents
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• v.17 no.4
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• pp.46-51
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• 2021

This pilot study examined the contribution of citizen science approach to the datification of factors influencing the progress of cognitive health of the older adults. Newspapers were reviewed and FGIs of field workers at a Day Care Center gathered relevant data from citizen. Two questions were put forward; whether new factors are drawn from citizen knowledge; if yes, whether they represent a new type of data. 'Aesal', personality of the older adults with dementia is noted as a new dementia affecting factor. The data on personality also present a new challenge for scientific measurement. The relationship between personality or psychology of the older adults and the risk of getting dementia has been a research field for a long time, yet the impact of personality on the progress of dementia has not been examined scientifically. Because of communication difficulties with the older adults with dementia, new types of indicators and new ways of measurements thus need to be developed.

• Asian Journal of Innovation and Policy
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• v.11 no.2
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• pp.258-276
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• 2022

The historical aspects, policies, institutions, awards and measurement results of scientific literacy and scientific culture development in Indonesia have currently attracted further exploration. This paper utilizes secondary data research, further analyzed by employing the Supplementary Analysis technique. The results revealed that the tradition of writing and publishing scientific journals in Indonesia has existed ever since the Dutch East Indies with the journal's publication entitled 'Natuurkundig tijdschrift voor Nederlandsch Indië' in 1850. To date, Indonesia has owned 5,990 nationally accredited journals. Policy support has been provided at the national and regional levels, despite limitations in cultivating literacy and reading habit. From the institutional perspective, Indonesia provides a wide array of public support, including the effort of the Ministry of Education and Culture for advocating the national literacy movement and the availability of a reference database and scientific access established by the National Library; the Indonesian Institute of Sciences, and the Ministry of Research and Technology. Similarly, in the award-related perspective, the Indonesia government has granted awards to individuals or groups and local governments engaging in the cultivation of scientific literacy and scientific culture. However, among the global measurements for literacy development in Indonesia (in 2020) recorded that three indicators scored less than those in 2019.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.757-763
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• 2022

In the NATM tunnel construction method for urban subway and underpass construction, various causes of disaster exist. In this study, in order to analyze the importance of disaster influencing factors during NATM tunnel excavation, the possible risk factors were analyzed through prior research such as drilling, charging and blasting, It was divided into the work items of wrinkle treatment, pumice cleanup, and support materials. Next, the final 21 detailed measurement indicators were selected through the FGI survey of related experts, and AHP (Analytic Hierarchy Process) analysis were conducted. As a result, it was found that the workers involved in the tunnel construction were the most influential disaster influencing factor.

• Journal of Yeungnam Medical Science
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• v.40 no.3
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• pp.233-240
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• 2023

The purpose of this study aims to analyze research trends related to 'evaluation' in Korean medical education through a systematic review. This study used a systematic review method, which is a research methodology for research trends and 'literature analysis.' Researchers searched the Korean journal literature published until the end of December 2020 in the Korean research database with keywords related to medicine and evaluation. Thus, 5,205 cases were identified. Based on these data, 143 papers were selected through a logical screening process, requiring 1 month to complete the data search and analysis process. In terms of publications, medical journals overwhelmingly outnumbered nonmedical journals until 2015; however, after 2016, the number of papers published in nonmedical journals increased, and the number of published papers was similar to that of medical journals. In terms of evaluation-related research, research on student and program evaluations has been very active compared to that on accreditation. As the number of evaluation studies has gradually decreased over the past 10 years, preparing a plan to revitalize them in Korean medical education is necessary. Considering that the role of evaluation in education has been emphasized in recent years, research on reestablishing the concept of evaluation; developing evaluation indicators; analyzing the status of student evaluation, program evaluation, and accreditation; and deriving measures to improve medical education through evaluation is required.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.191-202
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• 2023

This study aims to propose a framework for evaluating the impact of artificial intelligence (AI) services, based on the concept of AI service impact. It also suggests a model for evaluating this impact and identifies relevant factors and measurement approaches for each item of the model. The study classifies the impact of AI services into five categories: ethics, safety and reliability, compliance, user rights, and environmental friendliness. It discusses these five categories from a broad perspective and provides 21 detailed factors for evaluating each category. In terms of ethics, the study introduces three additional factors-accessibility, openness, and fairness-to the ten items initially developed by KISDI. In the safety and reliability category, the study excludes factors such as dependability, policy, compliance, and awareness improvement as they can be better addressed from a technical perspective. The compliance category includes factors such as human rights protection, privacy protection, non-infringement, publicness, accountability, safety, transparency, policy compliance, and explainability.For the user rights category, the study excludes factors such as publicness, data management, policy compliance, awareness improvement, recoverability, openness, and accuracy. The environmental friendliness category encompasses diversity, publicness, dependability, transparency, awareness improvement, recoverability, and openness.This study lays the foundation for further related research and contributes to the establishment of relevant policies by establishing a model for evaluating the impact of AI services. Future research is required to assess the validity of the developed indicators and provide specific evaluation items for practical use, based on expert evaluations.

• Smart Structures and Systems
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• v.32 no.2
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• pp.83-99
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• 2023

The temperature prediction approaches of three important locations in an operational longitudinal slab track-bridge structure by using three typical neural network methods based on the field measuring platform of four meteorological factors and internal temperature. The measurement experiment of four meteorological factors (e.g., ambient temperature, solar radiation, wind speed, and humidity) temperature in the three locations of the longitudinal slab and base plate of three important locations (e.g., mid-span, beam end, and Wide-Narrow Joint) were conducted, and then their characteristics were analyzed, respectively. Furthermore, temperature prediction effects of three locations under five various meteorological conditions are tested by using three neural network methods, respectively, including the Artificial Neural Network (ANN), the Long Short-Term Memory (LSTM), and the Convolutional Neural Network (CNN). More importantly, the predicted effects of solar radiation in four meteorological factors could be identified with three indicators (e.g., Root Means Square Error, Mean Absolute Error, Correlation Coefficient of R2). In addition, the LSTM method shows the best performance, while the CNN method has the best prediction effect by only considering a single meteorological factor.