• The Korean Journal of Franchise Management
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• v.14 no.2
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• pp.31-46
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• 2023

Purpose: Brand communication plays an important role in the credibility of consumer behavior as it enhances brand equity. This study investigates the effects of brand communication (firm-created communication, consumer-generated communication) on brand awareness, brand attitude, brand loyalty in the hotel business sector by applying the SOR theory (stimulus-organism-response theory). Research design, data, and methodology: This study was analyzed in a quantitative way using the survey results of 400 customers who had experience of visiting hotels. In this study, SmartPLS 4.0 was used to evaluate the research model. The reliability, convergent validity, and discriminant validity of the measurement tool were verified. Result: Result was found that consumer-generated communications had a positive effect on brand awareness and brand attitude, whereas firm-created communications had a significant effect on brand awareness. In addition, brand awareness had a positive effect on both brand attitude and brand loyalty. Finally, brand attitude was found to have a positive effect on brand loyalty. Conclusions: This study redefines the concept of where chain hotel groups should focus when providing consumers with information about their brands and services. As a result, the conceptual framework of brand communication to increase new customer visits to the hotel brand has been expanded.

• Asia Marketing Journal
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• v.22 no.3
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• pp.71-85
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• 2020

Social media has emerged as a major hub of engagement between brands and consumers in recent years, and allows user-generated content to serve as a powerful means of encouraging communication between the sides. However, it is challenging to negotiate user-generated content owing to its lack of structure and the enormous amount generated. This study focuses on the hashtag, a metadata tag that reflects customers' brand perception through social media platforms. Online users share their knowledge and impressions using a wide variety of hashtags. We examine hashtags that co-occur with particular branded hashtags on the social media platform, Instagram, to derive insights about brand perception. We apply text mining technology and network analysis to identify the perceptions of brand images among consumers on the site, where this helps distinguish among the diverse personalities of the brands. This study contributes to highlighting the value of hashtags in constructing brand personality in the context of online marketing.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.219-223
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• 2022

The Internet can deliver various information and services at the lowest cost without time and space constraints while targeting the world among all existing means of communication. Unlike traditional media such as TV, newspapers, and radio in the past, promotions through mobile environments allow target customers to use two-way low-cost, high-efficiency promotional strategies regardless of time and place. With the development of the Internet, social media has developed into a place to acquire information about favorite companies and their products. Social media greatly contributes to the production of text, photos, videos, and various networks, and has expanded global communication and communication media through the interaction and sharing of various information. In addition, through social media, users can communicate in various ways, reveal themselves, and share and exchange information such as knowledge and personal thoughts. In line with these changes, corporate marketers and sellers are striving to provide consumers with appropriate information more quickly. We aims to find out about social media marketing strategies useful for companies.

• Journal of Preventive Medicine and Public Health
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• v.50 no.2
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• pp.133-140
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• 2017

Objectives: The purpose of this study was to describe the source, length, number of views, and content of the most widely viewed Zika virus (ZIKV)-related YouTube videos. We hypothesized that ZIKV-related videos uploaded by different sources contained different content. Methods: The 100 most viewed English ZIKV-related videos were manually coded and analyzed statistically. Results: Among the 100 videos, there were 43 consumer-generated videos, 38 Internet-based news videos, 15 TV-based news videos, and 4 professional videos. Internet news sources captured over two-thirds of the total of 8 894 505 views. Compared with consumer-generated videos, Internet-based news videos were more likely to mention the impact of ZIKV on babies (odds ratio [OR], 6.25; 95% confidence interval [CI], 1.64 to 23.76), the number of cases in Latin America (OR, 5.63; 95% CI, 1.47 to 21.52); and ZIKV in Africa (OR, 2.56; 95% CI, 1.04 to 6.31). Compared with consumer-generated videos, TV-based news videos were more likely to express anxiety or fear of catching ZIKV (OR, 6.67; 95% CI, 1.36 to 32.70); to highlight fear of ZIKV among members of the public (OR, 7.45; 95% CI, 1.20 to 46.16); and to discuss avoiding pregnancy (OR, 3.88; 95% CI, 1.13 to 13.25). Conclusions: Public health agencies should establish a larger presence on YouTube to reach more people with evidence-based information about ZIKV.

• Journal of Fashion Business
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• v.18 no.2
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• pp.29-41
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• 2014

As the online shopping mall market faces severe competition, marketers have focused on visual factors that generate positive consumer responses in order to induce more consumers. Although product photos are crucial in the communication of product information as well as in the development of positive images of online shopping mall, there was little intention the effect of diverse types of product photo. In this study, three types of backgrounds (i.e., no background, indoor background, street background) are compared in order to explore whether consumer sensibility factors are different according to photo backgrounds. Moreover, it investigates the effect of sensibility toward photo backgrounds on consumer attitude. A total of 222 consumers participated in the experiments. As a result, six sensibility factors were generated from online model photos, including structure, upscale, uniqueness, interest, simpleness, and easiness factors. Among these factors, simpleness and structure showed the highest means; simpleness was the factor indicating the differences according to photo backgrounds. Sensibility factors affecting attitude toward online shopping malls were uniqueness in the case of no background, interest in the case of indoor background, and upscale in the case of street background photo.

• Journal of Multimedia Information System
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• v.9 no.3
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• pp.219-226
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• 2022

The advancement of realistic visual effects technology provides increasingly immersive experiences and consumer satisfaction with content. The explosion and destruction effects in live-action films and animations are some of the most frequently used visual effects, but they are relatively difficult to execute, so it is challenging to make them look realistic. This study tested a method of effectively realizing computer-generated explosions and destruction. Experiments for this study are as follows: first, the interlink according to density accumulation of the fluid; second, the interlink according to the temperature accumulation of the fluid; and third, the interlink according to the distance between the fluid and the involved objects. This study was conducted to identify an optimal solution for producing computer-generated explosions and destruction.

• Journal of Distribution Science
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• v.19 no.8
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• pp.81-89
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• 2021

Purpose: Traditional charity retail needs to change its communication in the online environment. This article examines the effectiveness of communication by online charity organizations in terms of the type of messages being delivered. Research design, data and methodology: Study 1 based on a sample of 120 Korean adults, we investigated whether charity asking messages for domestic people, compared to those for foreign people, prompt more favorable evaluations when framed with low (vs. high) construal levels. In Study 2, with 120 Korean adults sample, we tested whether emotional message appeals prompt a more favorable response than rational messages when framed in a socially close. Results: According to the result of Study 1, for the domestic recipients, donation messages situated in the near, compared to the distant, future induced more favorable reactions from potential donors. Moreover, in Study 2, emotional (vs. rational) message appeals generated more positive donation intentions when they were framed in the socially close situation. Conclusions: This research contributes that differing consumer construal have important implications for how marketing communication might best gain charitable support. This suggests that marketers who design a donation message should consider message's appeal and type to activate the potential donors' willingness to participate in the campaign.

• Journal of Internet Computing and Services
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• v.18 no.4
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• pp.121-131
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• 2017

With emergence of Internet, social media, and mobile service, the consumers have actively presented their opinions and sentiment, and then it is spreading out real time as well. The user-generated text data on the Internet and social media is not only the communication text among the users but also the valuable resource to be analyzed for knowing the users' intent and sentiment. In special, economic participants have strongly asked that the social big data and its' analytics supports to recognize and forecast the economic trend in future. In this regard, the governments and the businesses are trying to apply the social big data into making the social and economic solutions. Therefore, this study aims to reveal the capability of social big data analysis for the economic use. The research proposed a social big data analysis model and an online consumer sentiment index. To test the model and index, the researchers developed an economic survey ontology, defined a sentiment dictionary for sentiment analysis, conducted classification and sentiment analysis, and calculated the online consumer sentiment index. In addition, the online consumer sentiment index was compared and validated with the composite consumer survey index of the Bank of Korea.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.1
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• pp.45-53
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• 2018

The proliferation of distributed power sources such as renewable energy sources drives the changes of consumers to prosumers who actively want to deal with energy. The prosumer is a new type of consumer that can sell surplus energy or additionally generated energy to electric power companies, other energy service providers, or other consumers. To implement such a concept, a new technology and platform that can support the transaction of the prosumers are required. However, the study in the area is limited since it is in the early stage. This work examines the state-of-the-art transaction-based energy management technology through comparative analysis of representative technologies to show the future trends. Although, technologies and standards for transaction based energy are not much matured yet. related new research will be continued via competitions.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.187-194
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• 2019

Traditional demand forecasting methods are difficult to meet the needs of companies due to rapid changes in the market and the diversification of individual consumer needs. In a diversified production environment, the right demand forecast is an important factor for smooth yield management. Many of the existing predictive models commonly used in industry today are limited in function by little. The proposed model is designed to overcome these limitations, taking into account the part where each model performs better individually. In this paper, variables are extracted through Gray Relational analysis suitable for dynamic process analysis, and statistically predicted data is generated that includes characteristics of historical demand data produced through ARIMA forecasts. In combination with the LSTM model, demand forecasts can then be calculated by reflecting the many factors that affect demand forecast through an architecture that is structured to avoid the long-term dependency problems that the neural network model has.