• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.75-85
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• 2008

The construction industry has been leading the growth of the nation's economy not only by providing with various infrastructure projects but also by positively impaction related industries such as crating numerous job opportunities. Relevant statistics show the production amount of construction taking about 17.5% of the GDP (Gross Domestic Product). In spite of its positive impacts on the economy, image of Korea construction industry is generally reflected as negative mainly because of its environmental disruption, low payment, bribe, fraudulent work and inefficiency. It brings students to be reluctant choosing the construction industry as their carrier path and governmental and principal research status. Therefore it has been difficult to recruit highly qualitied human resources to the industry while the morale of the whole industry has gradually become demoralized. To improve this stand, many domestic researchers carried out research projects for improving the image of Korea Construction Industry. This study also sympathizes with necessity of improving the negative image of construction industry to remain as one of the leading industry in the 21st century. Especially, this study focused on finding important factors which have significant influences on the image of the industry. Through out the research, image influence factors was identified by rigorous literature review and interviews as industrial and academic experts. Factors, then, categorized and used as the main framework for the survey which designed to fine the degree of impacts on the image of the construction industry. In analyzing the survey results, various statistical techniques was employed including factor analysis, Chi-Square-Test, Correlation Analysis and Multiple Linear Regression. Identified as the most influent factors to the image of the construction industry include morale of construction employee, and prospects the industry which of the judgement by payment, impacts on nation's economy, future of the industry, etc.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.16 no.1
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• pp.43-69
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• 2005

Generally, brand is the title for discriminating their own goods and service from other competitive company, brand-image means customer's good and bad affection or loyalty the brand of specific company. Customers often choose the goods according to the value of goods brand. In terms of this viewpoint, the value of company's brand is very important factor to the company's success. Brand-image also effects customers on selling company's goods. Specially, to the hotel business that should ensure lots of customer for a long period with the interest and credit of customers, its brand-image is more significant. What the image is looked upon as a important factor in marketing is due to the difficulty of discrimination against goods standardized in price and quality. Therefore, the company's image acts as a more important marketing factor in the high industrial society. Also it means a lot to the customer's purchasing behavior. When the company's brand-image is recognized or discriminated, customer's memory is longer and customer's reliability is raised than other company's advertisement and public information. Nowadays, most of hotels are perceiving the importance on their own brand-image but in the lack of deep study and systematic strategy in reality. The purpose of this study is to research the effect on customer's purchasing intention of hotel brand-image and choice-attribution. The empirical research has been done from 23April, 2004 to 20May, 2004. Data were collected from general customers who are using hotel located in Taegu. In conclusion, hotel brand-image depends highly on, the service quality of hotel staff and reputation of hotel. Besides, this acts on customer's hotel choice decisively.

• Journal of Global Scholars of Marketing Science
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• v.10
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• pp.165-185
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• 2002

The extant study on virtual store loyalty has not been comprehensive and has focused on identifying limited variables such as design, product value, contents, communication, security, that have influence on virtual store loyalty. Their limited perspectives have frequently yielded empirical studies with fragmented results and contributed to the research with low explanation. This paper thus examines the effects of virtual store image, satisfaction and trust on loyalty. The study results confirm that virtual store image have significant effects on satisfaction, trust, and loyalty. Also, satisfaction and trust directly influence vitrual store loyalty. This study contributes to the understanding of the role of virtual store providers in online shopping situation.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.426-438
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• 2016

The purpose of this study was to examine whether or not social media could have influence upon diplomatic activities and become effective means of diplomatic communication, focusing on the communication channel of public diplomacy. Study subjects were 301 foreigners from 42 countries in 7 continents, and influencing relationship among the fondness of social media-utilized public diplomacy cultural contents, country images and country brands was examined, together with its effectiveness. The results attained are as follows: First, all independent variable except interactivity and immediacy had significant influencing relationship with the fondness of public diplomacy cultural contents. Second, the fondness of public diplomacy cultural contents had significant influence upon country images, whereas country images had significant influence upon the fondness of country brands and the loyalty of country brands. Based on study findings, the influence of social media as effective means of communication of public of diplomacy policy in the 21st century was confirmed. In addition, This study contribute to expansion of public diplomacy research area from pre-exisiting study and provide basic information to future activities.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.223-231
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• 2017

This study examined the effects of CSR characteristics on company image, CSV, customer satisfaction, customer citizenship behavior for customers using mobile phones of Samsung, LG, Apple, and Pantech in domestic market. 213 questionnaire samples are used to test 10 hypotheses using structural equation model with AMOS. Results of testing are as follows: First, economic responsibilities, law-ethical responsibilities and philanthropic responsibilities factors of CSR influence positively to company image. Second, economic responsibilities does not influence to CSV. Third, company image influence positively to customer satisfaction and customer citizenship behavior, but CSV does not influence to customer satisfaction This study shows that CSR, company image, CSV are important for customers' increasing customer satisfaction and customer citizenship behavior. Implications and limitations of this study also suggested.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.185-192
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• 2019

The purpose of this study examines the effects of corporate CSR on corporate image, customer satisfaction, and customer citizenship behavior in order to provide implications for CSR. To verify hypotheses, we conducted a questionnaire survey on university students using Apple, Sony, Sharp, and Kyocera mobile phones, and used structural equation model analysis for 294 units. As a result, four factors, economic responsibility, legal responsibility, ethical responsibility and philanthropic responsibility were derived from corporate social responsibility, and all three factors except for ethical responsibility factors were proved to have a positive effect on corporate image. In addition, corporate image has a positive effect on customer satisfaction and customer civic behavior. As an implication, Japanese companies will need to take a systematic approach to CSR to help them understand their CSR and improve the level of CSR they can sympathize with.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.263-270
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• 2019

This study was done to identify the relationship between safisfaction with major, critical thinking disposition and nurse image of nursing students. Subjects were 280 associates nursing students (2nd, 3rd, 4th grade) in M university. SPSS 21.0 was used to analyze the data for the descriptive statistics, t-test, ANOVA, Scheffe's test, and Pearson correlation coefficients. The score for satisfaction of major was 3.81, critical thinking disposition scoring 3.52, nurse image scoring 3.85. Satisfaction of major was significantly positive correlation between critical thinking disposition and nurse image of nursing students. Therefore, increase to satisfaction of major in nursing student, it is necessary to study how to improve the nurse image by improving the critical thinking disposition of nursing students.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.361-369
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• 2021

This study is a descriptive research to investigate the effects of nursing college student', body Image and self-efficacy on health promotion lifestyle. The participants were conducted in 3 universities in G and J city university and targeted 175 nursing students. The data were analyzed using SPSS 24.0 program, frequency analysis, t-test, ANOVA, Pearson's correlation, and Multiple regression. The factors influencing on health promotion lifestyle of nursing students were found to have positive effects on body Image, self-Efficacy. Therefore, it is necessary to develop a systematic education strategy and program designed to positively recognize the body image and improve self-efficacy in order to improve the performance of the health promotion lifestyle.

• Archives of design research
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• no.16
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• pp.173-182
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• 1996

Recent Ci(Corporate Identification) booming in korea is representing the importance of managing corporate imge through design. This study aims to identify how corporations can establish desirable corporate image through the selection of basic elements (symbol, logotype, corporate color and others). One of the major reasons for the study is that the selecting procedure and evaluating criteria for basic elements are not well organuzed(or developed) yet. As the first step, the nature of managing corporato imnge, corporate identification and the needs of establishing process for CI basic system and field work. Then, the study suggested a systematic process for cstablishing basic systcm of corporate identity program. Finally, overall procedure and specific guidelines in each stage of the process in relation to the objectives of corporate activitice, basic corporate image strategios and the adoption patterns of CI have developed.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.191-203
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• 2022

In this paper, we developed a system that intelligently identifies skin image data from big data collected from social media Instagram and extracts standardized skin sample data for skin condition diagnosis and management. The system proposed in this paper consists of big data collection and analysis stage, skin image analysis stage, training data preparation stage, artificial neural network training stage, and skin image identification stage. In the big data collection and analysis stage, big data is collected from Instagram and image information for skin condition diagnosis and management is stored as an analysis result. In the skin image analysis stage, the evaluation and analysis results of the skin image are obtained using a traditional image processing technique. In the training data preparation stage, the training data were prepared by extracting the skin sample data from the skin image analysis result. And in the artificial neural network training stage, an artificial neural network AnnSampleSkin that intelligently predicts the skin image type using this training data was built up, and the model was completed through training. In the skin image identification step, skin samples are extracted from images collected from social media, and the image type prediction results of the trained artificial neural network AnnSampleSkin are integrated to intelligently identify the final skin image type. The skin image identification method proposed in this paper shows explain high skin image identification accuracy of about 92% or more, and can provide standardized skin sample image big data. The extracted skin sample set is expected to be used as standardized skin image data that is very efficient and useful for diagnosing and managing skin conditions.