• Design Convergence Study
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• v.17 no.3
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• pp.109-123
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• 2018

This exploratory research examines a new approach to the healing environment in the changed health paradigm, and seeks to conceptualize the extended characteristics of the healing environment in the context of mental health promotion. This study aims to, first, define the concepts of health, mental health, and the healing environment in the changed paradigm, and second, develop the healing characteristics of the physical environment for mental health promotion and create indicators. For these purposes, this study performed a theoretical exploration that could support the concept of the healing environment for mental health promotion by expanding its scope into not only architecture, psychology, and psychiatry but also philosophy of architecture and environment psychology, which concerns the relationship between humans and the environment. This study considers related theories and attempts to establish a new concept from a convergent perspective. The characteristics of the healing environment categorized as a result of exploratory research on previous studies and theories include (a) physical protection promotion, (b) psychological comfort promotion, (c) social exchange promotion, and (d) personal self-esteem promotion. Establishing the concept of the healing environment for mental health promotion is important to implement the actual healing environment. Based on the concept, more specific design indicators and guidelines could be developed to conduct applied research.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1035-1043
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• 2020

Project manager plays a very important role in the success of any project. The primary duty of the project manager is to combine the outcomes or results of the various processes and activities of project management into a systematic project management strategy or plan for the project. In the construction industry, a lack of motivation is an urgent problem for many project managers in construction and engineering projects. Lack of motivation affects the quality and productivity of jobs, reducing profits and growth for companies, businesses, contractors or organizations that rely on human resources. The reasons for this lack of motivation are diverse ranging from salary to culture to life and working environment, among others. Through surveys and data analysis using Cronbach's Alpha reliability and EFA (Exploratory Factor Analysis), our research scaled the factors affecting work motivation of project managers in the construction industry in Vietnam. The research results identified six major groups of relevant factors including (i) salary and benefits, (ii) work environment, (iii) promotion opportunities, (iv) organizational culture, (v) interest in the job, and (vi) relationship with the organization. From there, this paper contributed useful information as well as measures for businesses, companies, contractors or organizations in the construction industry.

• Safety and Health at Work
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• v.7 no.4
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• pp.326-330
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• 2016

Background: The Nordic Safety Climate Questionnaire-50 (NOSACQ-50) was developed by a team of Nordic occupational safety researchers based on safety climate and psychological theories. The aim of this study was to develop and validate the Persian version of NOSACQ-50 and assess the score of safety climate on a group of workers in a steel company in Iran. Methods: The Persian version of NOSACQ-50 was distributed among 661 employees of a steel company in Qazvin Province (Iran). Exploratory factor analysis (EFA) and confirmatory factor analysis were used to determine the dimensions of the questionnaire. The reliability of the questionnaire was assessed using Cronbach ${\alpha}$ coefficient. Pearson correlation test was applied to investigate the correlation between different dimensions. Results: The results of EFA showed that the Persian version of NOSACQ-50 consisted of six dimensions. The Cronbach ${\alpha}$ coefficient of the questionnaire was 0.94. The mean score of safety climate in all dimensions was 2.89 (standard deviation 0.60). Conclusion: The Persian version of NOSACQ-50 had a satisfactory validity for measuring safety climate in the studied Iranian population.

• 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.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.648-657
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• 2018

The purpose of this study was to analyze the labeling of commercial protein bars in Korea and USA to develop Korean protein bars. Furthermore, we compared protein contents of products with daily protein intake, DRI, and AMDR. The protein bars were sampled in off- and on-line markets of both countries, with 17 in Korea and 113 in the US. As the results, since US products have bigger than one serving size than Korean ones, the intake of overall nutrients is higher, especially protein and sodium. Protein contents (per 100 g) of products in US were higher than those of Korea. The highest protein was soy protein isolate (SPI) in Korea and whey protein isolate (WPI) in the US. This is thought to be influenced by the preference and familiarity of food according to the country. In conclusion, since there are difference in eating habits, intake and preference of the protein source, it is necessary to develop suitable protein bars for Koreans. Therefore, this research provides the baseline of protein bars for consumers to choose products.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.249-260
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• 2006

This study is to investigate how mobile internet service users recognize that Wibro service providers should be equipped with what type of organizational capabilities. Especially. this stud y, in exploratory point of view, examines the recognition is differed by characteristics of Wibro service users. This study also is to suggest a few of research propositions regarding the relations hips between organizational capabilities and characteristics of Wibro service users from various statistical analyses. To accomplish these research purposes, this study defined characteristics of Wibro service users (sender, age, job) and organizational capabilities of Wibro service provide rs ( accounting/finance capabilities, production/service capabilities, marketing/sales capabilities. research and development/technology capabilities) based on the review of past mobile interne t service related studies. And then, this study performed not only questionnaire survey on latent Wibro service users but also various statistical analyses.

• Smart Structures and Systems
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• v.26 no.4
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• pp.507-520
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• 2020

In order to achieve effective corrosion monitoring of buried metal pipelines, a Novel nondestructive Testing (NDT) methodology using ultra-long (250 mm) Polymer Optical Fiber (POF) sensors coated with the Fe-C alloy film is proposed in this study. The theoretical principle is investigated to clarify the monitoring mechanism of this method, and the detailed fabrication process of this novel POF sensor is presented. To validate the feasibility of this novel POF sensor, exploratory research of the proposed method was performed using simulated corrosion tests. For simplicity, the geometric shape of the buried pipeline was simulated as a round hot-rolled plain steel bar. A thin nickel layer was applied as the inner plated layer, and the Fe-C alloy film was coated using an electroless plating technique to precisely control the thickness of the alloy film. In the end, systematic sensitivity analysis on corrosion severity was further performed with experimental studies on three sensors fabricated with different metal layer thicknesses of 25 ㎛, 30 ㎛ and 35 ㎛. The experimental observation demonstrated that the sensor coated with 25 ㎛ Fe-C alloy film presented the highest effectiveness with the corrosion sensitivity of 0.3364 mV/g at Δm = 9.32 × 10^-4 g in Stage I and 0.0121 mV/g in Stage III. The research findings indicate that the detection accuracy of the novel POF sensor proposed in this study is satisfying. Moreover, the simple fabrication of the high-sensitivity sensor makes it cost-effective and suitable for the on-site corrosion monitoring of buried metal pipelines.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.57-68
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• 2013

Recently, cloud computing has been viewed as a technology of great influence. Despite the importance of personal cloud services, the majority of cloud computing studies has been focused on an enterprise level. Therefore, in this research, we list variables of personal cloud computing characteristics (accessibility, storage, trust, perceived ease of use, availability) from preceding research done on an enterprise level. So, through pilot testing, we analyze whether examined characteristic variables affect the intention to use personal cloud computing. Next, we investigate the relevancy between user characteristics, including gender, age, and occupation, and the usage rate of personal cloud computing. Lastly, we implement an analysis of variance in order to speculate whether there is any difference between the five characteristic variables in using personal cloud computing between cloud service enterprises. For empirical testing people with experience in personal cloud computing are surveyed. Frequency analysis, exploratory factor analysis, internal consistency analysis, T-test, ANOVA, and multiple regression analysis are implemented with 325 valid samples. The analysis results are as follows: First, among user characteristic variables, 'occupation' shows a significant relationship with cloud service usage, Second, between cloud service enterprises, all five characteristic variables of 'Naver N Drive' are thoroughly evaluated and 'Google Drive' receives a high evaluation in availability and accessibility. Third and finally, all of the selected characteristic variables affect the intention to use personal cloud computing. However, availability is identified to be the most important factor. This research will serve as a reference to enterprises for the practical implementation of personal cloud computing service.

• Journal of Industrial Convergence
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• v.16 no.4
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• pp.27-32
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• 2018

In this research, in order to prevent the fire of multiple users who are concerned about many human life damage, based on the statistical data of the National Fire Protection Agency's National Fire Information Center and the Fire Defense Administration Fire Defense Administration, Attempts were made on the exploratory approach to measures that can reduce the topic of. In this research, using the preventive firefighting administrative statistics of the Fire and Disaster Management Agency, we analyzed by focusing on the effectiveness of multiple users' firefighting safety education. Through analysis results we could infer that fire safety education does not have effectiveness in actual fire prevention. Through previous research, we found out that the cause is insufficient for the management of fire safety education, thereby deriving an improvement plan to develop a systematic fire safety education system.

• 한국체육학회지인문사회과학편
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• v.56 no.4
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• pp.397-413
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• 2017

The purpose of this study is to introduce the case and to provide related information for the physical education major to handle and utilize the social big data through the exploratory study for the application of sports industry in the fourth industrial revolution. For this study, data was collected from the article database, which covers the keyword such as 'Social Big Data', 'Sports' and so on. The analyzed articles were 86 articles. As a results, The research on social big data applied to sports industry are as follows: 1) Analysis of major issues related to sports fans' interests and sports events, 2) A study on media sports engagement, 3) The prediction analysis of sports game based on the sentiment analysis, 4) Development of salary estimation model for professional player in sports, 5) Research trend analysis and so on. In conclusion, the social big data analysis technology in the sports industry and management can be utilized variously. Therefore, the specialists of the sports industry and management field need to learn the techniques, to acquire the know-how for the research project, to convert the convergence thinking.