• Korean Institute of Interior Design Journal
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• v.14 no.4 s.51
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• pp.27-34
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• 2005

One of the most famous designers of our age, Philippe Starck designed eight hotels among fan Schrager's of which hotels are not so big but have huge popularity all around the world located in major cities such as New York, London, Miami, L.A., and San Francisco. These hotels have brought significant influence particularly to the aspects of their recent fashion and strategies in Boutique hotels. Therefore, this paper intends to examine the space composition and design methods by analyzing the eight hotel projects by him. The research started with reviewing his design background first and analyzed the characteristic of his designs of above hotels. The analysis results were arranged from the aspects of narrative spatial configuration and dramatic presentation. From the aspect of narrative spatial configuration, the hotels by Philippe Starck mainly consisted of 1) boundaries and gateways, 2) spaces of passage, 3) center spaces, and 4) the spaces surrounding the center spaces. For the latter's aspects, it was found that various design methods such as 1) objectification, 2) intended ambiguity, 3) depaysement 4) eclectic hybrid, 5) distortions of scale, and 6) sensuous clues were employed. A study on the hotels by tan Schrager, which owe their big success to the emotional design of Philippe Starck's, not only widens the understanding of his design world, but also serves to the appreciation of today's hotel marketing strategies and design.

• Journal of Home Health Care Nursing
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• v.25 no.3
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• pp.191-203
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• 2018

Purpose: The purpose of this study is to investigate the problems experienced by Korean adolescents due to smartphone use and related factors. Methods: The subjects were 57,463 middle school and high school students nationwide as the 13th The Korea Youth Risk Behavior Web-Based Survey, 2017. Data were analyzed using means, standard deviations, and composite sample multiple logistic regression analysis. Results: This study confirms that negative experiences were related to general characteristics of sex, academic background, socio-economic level, residential area and form, academic performance, and parental education; health behavior characteristics of subjective health cognition, depression, and stress; and characteristics related to smartphone use. Smartphone usage time amd use of services were factors related to the problems experienced from using smartphones. Conclusion: Based on the results of this study, it is necessary to plan for the use of smartphones in consideration of physical and emotional health and to educate adolescents to promote social communication between family and friends. It is also necessary to develop and apply a smartphone use management program to maintain a balance between smartphone use, academic performance, and school life.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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• pp.14-25
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• 2019

Purpose: This was a methodological study that aimed to develop a measurement scale for aging anxiety among middle-aged women. Methods: In this study, construct factors were extracted, and a conceptual framework was established through an extensive literature review and in-depth interviews with middle-aged women. Under the conceptual framework, 44 preliminary items were constructed, and a preliminary scale of 25 items was completed after two rounds of expert validation and item review. For this study, data were collected from 201 women aged 40~59 years, and the construct validity and reliability of the preliminary scale were verified. Results: To verify the construct validity, exploratory factor analysis was conducted. Four factors containing 19 items were extracted. Concurrent validity of the developed scale was verified with Pearson's correlation analysis. The final scale comprised 4 factors ("Social valueless", "Physical weakness", "Concern about changes in appearance", and "Expectations of old age") and 19 items. The Cronbach's ${\alpha}$ value was .91. Conclusion: The scale for measuring aging anxiety in middle-aged women developed in this study validly reflected the peculiarities of aging anxiety in middle-aged women, who experience many physical, emotional, and social changes. The scale can be said to reflect the cultural background, as it reflected real experiences gained through in-depth interviews with middle-aged women.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.258-270
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• 2019

The purpose of this research is to investigate the effects of the participation type of members of consumer cooperatives on social connectedness, collaboration intention and psychological well-being. For this, research hypotheses and models were developed from the theoretical background, and an empirical study was conducted with a survey. The results of this research are as follows: first, among the customer participation types, emotional participation and physical participation promoted social connectedness. Second, physical participation showed positive effects on collaboration intention. Lastly, social connectedness improved collaboration intention, and collaboration intention had significant effects on psychological well-being.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.238-246
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• 2021

The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.

• The Korean Journal of Pain
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• v.34 no.1
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• pp.94-105
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• 2021

Background: Many patients with complex regional pain syndrome (CRPS) have been known to be at risk of suicide, due to severe pain and its comorbid conditions. The risk of suicide may be associated with affective instability, which is an indicator of emotional dysregulation. Particularly, unstable shifts in negative emotions are difficult to cope with, which may result in individuals feeling uncontrollable, hopeless, and entrapped. This study aimed to examine the role of affective instability in the relationship between pain intensity and suicide risk (suicidal ideation and impulsivity) in patients with CRPS, by employing a daily diary. Methods: Twenty-three patients registered at the CRPS Association in Korea were asked to complete a day-to-day routine for 15 days, followed by a diary composed of pain intensity, suicidal ideation, impulsivity, and positive and negative affects. Results: Results showed that the interactions between negative affective instability and daily pain intensity were statistically significant on daily suicidal ideation (coefficient = 0.41, t (21) = 2.56, P < 0.050) and daily impulsiveness (coefficient = 1.20, t (19) = 3.35, P < 0.010). However, those between positive affective instability and daily pain intensity were not. Conclusions: This study is the first attempt to investigate the role of affective instability on the relationship between daily pain intensity and daily suicide risk in patients with CRPS. Our findings suggest that health professionals pay considerable attention to the instability of negative affects when assessing and managing patients with CRPS at risk of suicide.

• International Journal of Contents
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• v.17 no.1
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• pp.1-10
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• 2021

Visual analytics is an emerging research field that combines the strength of electronic data processing and human intuition-based social background knowledge. This study demonstrates useful visual analytics with Tableau in conjunction with semantic network analysis using examples of sentiment flow and strategic communication strategies via Twitter in a blockchain domain. We comparatively investigated the sentiment flow over time and language usage patterns between companies with a good reputation and firms with a poor reputation. In addition, this study explored the relations between reputation and marketing communication strategies. We found that cryptocurrency firms more actively produced information when there was an increased public demand and increased transactions and when the coins' prices were high. Emotional language strategies on social media did not affect cryptocurrencies' reputations. The pattern in semantic representations of keywords was similar between companies with a good reputation and firms with a poor reputation. However, the reputable firms communicated on a wide range of topics and used more culturally focused strategies, and took more advantages of social media marketing by expanding their outreach to other social media networks. The visual big data analytics provides insights into business intelligence that helps informed policies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.56-64
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• 2022

Many studies have suggested that e-commerce value creation potential depends on four interdependent factors Lock-In, Complementarity, Efficiency, and Novelty. In order to survive in the recent fierce competition, companies have also secured e-Trust that strengthens long-term business relationships by reducing consumer uncertainty. This study, while analyzing the value creation factors (Lock-in, Complementarity, Efficiency, Novelty, e-Trust) of recent e-commerce (online shopping mall) companies from the point of view of purchase intention, customer value (Functional value, Emotional value, Social value) We present an academic proposition that can also examine the mediating effect of value). First, through previous studies on value-based strategy and value creation in e-commerce, various discussions on the theoretical background necessary for effective value-based strategy establishment and strategy execution of e-commerce (online shopping mall) companies were reviewed. Second, it provides academic discussion and practical implications by presenting academic propositions on the value creation factors of e-commerce (online shopping mall) companies, purchase intentions, and customer value, and confirming the basis through empirical analysis.

• Safety and Health at Work
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• v.13 no.1
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• pp.104-111
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• 2022

Background: The IMPPAC cohort (Implications of the COVID-19 pandemic on psychosocial aspects and work ability among Brazilian workers) seeks to understand the impact of the pandemic on Brazilian workers. This article describes the occupational profile, psychosocial aspects, and work ability determined during the baseline and follow-up measurements of the cohort. Methods: Workers were invited to participate through media advertisements, social networks, and emails. From June to September 2020, 1211 workers were included in the cohort. Follow-up measurements finished on October 2021 with 633 workers. Data were collected through standardized questionnaires using Google Forms. Psychosocial aspects were assessed using the COPSOQ II-Br. Work ability was assessed using the Work Ability Index (WAI). Results: At baseline and follow-up, high proportion of workers were in the risk zone with regard to work pace, emotional work demands, influence on work, work-family conflict, burnout, and stress. Approximately 75% of the workers reported good to excellent work ability at baseline and follow-up. Conclusion: The occupational profile, psychosocial aspects, and work ability of Brazilian workers from the IMPPAC cohort were described. Psychosocial aspects and WAI were similar at baseline and follow-up.

• Safety and Health at Work
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• v.13 no.2
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• pp.201-206
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• 2022

Background: The present objective was to verify whether burnout (emotional exhaustion [EE], depersonalization [DP] and low professional efficacy [PE]) is a risk factor for long-term sickness absence (LTSA; 30 consecutive days) from the teaching role. Methods: This was a prospective cohort study with two years of follow-up that investigated 509 elementary and high-school teachers. Burnout was identified by Maslach Burnout Inventory. Poisson regression with robust variance was used to adjust for possible confounders. Results: The incidence of LTSA was 9.4%. High EE levels were associated with LTSA in the crude analysis, but the association lost statistical significance after adjustments (for sex, age, perception of work-life balance, general self-rated health, chronic pain and depression). High DP levels were associated with this outcome, even after all adjustments (relative risk = 1.80; 95% confidence interval: 1.05-3.09). Low PE levels were not related to LTSA. Conclusion: The results reinforce the need to improve teachers' work conditions to reduce burnout, particularly DP, and its consequences.