• Title/Summary/Keyword: Marketing Use

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An Analysis of Movie Consumption Behavior from Transaction Cost Perspectives (거래비용관점에서 본 영화 소비행위 분석)

  • Park, Hye Youn;Kim, Jai Beom;Lee, Chang Jin
    • Review of Culture and Economy
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    • v.20 no.3
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    • pp.3-33
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    • 2017
  • The present study analyzed movie consumption behavior from the perspective of transaction cost, taking into account the possible incurrence of additional costs in the process of consumers obtaining movie information to choose movies. Regression and multinomial logistic regression analyses were performed in the analysis by taking movie information and the individuals' social demographic characteristics as independent variables and the number and frequency of movies watched as dependent variables, using information from the "2015 movie consumer survey." The results showed that consumers considering elements such as "directors" and "online reviews" were found to be more active in movie consumption. The analysis of movie-watching frequency showed that the information considered when choosing a movie was different for high- and low-frequency movie viewers. Putting these factors together suggests that movie consumption can vary according to an individual's cultural capital, preferences, and their degree of movie information awareness. While existing studies have mostly analyzed the determinants of box office performance, the significance of the present study is its empirical analysis of individual movie information in terms of transaction cost. Based on the results above, it can be inferred that the cyclical structure of trading expenses influences movie consumption and, once preferences are formed through a certain level of consumption, the trading cost expenses decrease, which results in increasing consumption. Therefore, film makers need to establish and execute marketing strategies that appropriately use movie information so that consumers can reduce the trading costs necessary for movie watching.

An Analysis of the Effects of Customer Characteristics on Sales of Alley Market Area Using Geographically Weighted Regression (지리가중회귀분석을 이용한 고객특성별 골목상권 매출액 영향 연구)

  • Kang, Hyun Mo;Lee, Sang-Kyeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.6
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    • pp.611-620
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    • 2018
  • With the revitalization of alley market area becoming a major goal of the urban regeneration project, an understanding on customer characteristics that affect the sales of alley market areas is needed. As spatial heterogeneity appears to exist in alley market areas, the use of GWR (Geographically Weighted Regression) is required as an alternative to OLS (Ordinary Least Squares) regression. This study analyzes effects of customer characteristics on sales of 1007 alley market areas in Seoul. Comparing R squared and AICc, results show that GWR is better than OLS regression. According to OLS regression, the ratio of female, the ratio of 40's and 50's, the number of employees, the opening rate of establishment, the density of building and the size of alley market area have positive effects on sales, while the ratio of 20's and 30's, the distance of bus stop and that of subway station have negative effects. As a result of comparing local regression coefficients of geographically weighted regression analysis, the ratio of female customers has the greatest effect on the northwestern region, followed by the southwestern region, the central region and the northeastern region. The ratio of 20's and 30's and that of 40's and 50's effect on the southeastern and northeastern regions, and then the southwestern region. It is expected that this study will help to identify marketing target for each alley market area.

A Study on the Relationship among Attachment to Pet, Purchasing Attributes of Pet Products, Satisfaction, and Behavioral Intention (반려동물에 대한 애착도와 반려동물용품의 구매속성, 만족 및 행동의도와의 관계에 관한 연구)

  • Park, Eun-Ok;Shin, Jae-Ik;Park, Min-Yeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.9
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    • pp.279-289
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    • 2019
  • This study is conducted to provide marketing implications for the growing pet-related market by identifying the impact of attachment to pets on the purchasing attributes of pet goods and the relationship between the purchasing attributes, satisfaction, and behavioral intention.The survey was conducted on 173 respondents among the pet owners who had purchased pet products (beauty/bathing goods). The confirmatory factor analysis and path analysis were conducted using SPSS 22.0 and AMOS 21.0. This analysis results showed that attachment to a pet significantly influences the purchasing attributes of pet products: price appropriateness, quality, design, reputation and the sales environment. The relationship between the product purchasing attributes, satisfaction, and behavioral intention showed that price appropriateness, quality, and the sales environment of the product purchasing attributes had a significant impact on satisfaction, but the product's design and reputation do not. Satisfaction has a significant effect on behavioral intention. This study demonstrates that the pet product market should consider product quality, price appropriateness, use and an accessible sales environment based on the characteristics of pets rather than considering the design or reputation of the owner's preference of product.

Formulating Strategies from Consumer Opinion Analysis on AI Kids Phone using Text Mining (AI 키즈폰의 소비자리뷰 분석을 통한 제품개선 전략에 대한 연구)

  • Kim, Dohun;Cha, Kyungjin
    • The Journal of Society for e-Business Studies
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    • v.24 no.2
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    • pp.71-89
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    • 2019
  • In order to come up with satisfying product and improvement, firms use traditional marketing research methods to obtain consumers' opinions and further try to reflect them. Recently, gathering data from consumer communication platforms like internet and SNS has become popular methods. Meanwhile, with the development of information technology, mobile companies are launching new digital products for children to protect them from harmful content and provide them with necessary functions and information. Among these digital products, Kids Phone, which is a wearable device with safe functions that enable parents to learn childern's location. Kids phone is relatively cheaper and simpler than smartphone but it is noted that there are several problems such as some useless functions and frequent breakdowns. This study analyzes the reviews of Kids phones from domestic mobile companies, identifies the characteristics, strengths and weaknesses of the products, proposes improvement methods strategies for devices and services through SNS consumer analysis. In order to do that customer review data from online shopping malls was gathered and was further analyzed through text mining methods such as TF/IDF, Sentiment Analysis, and network analysis. Customer review data was gathered through crawling Online shopping Mall and Naver Blog/$Caf\acute{e}$. Data analysis and visualization was done using 'R', 'Textom', and 'Python'. Such analysis allowed us to figure out main issues and recent trends regarding kids phones and to suggest possible service improvement strategies based on sentiment analysis.

The Impacts of the Service Quality of Coffee Shop Adapting the CoffeeSERV on Customer's Perceived Value, Customer Satisfaction, Behavioral Intention: Focusing on Regulatory Focus Theory (CoffeeSERV측정모형을 활용한 커피전문점 서비스품질의 가치지각, 고객만족, 행동의도의 영향관계 연구: 조절초점동기의 조절효과를 중심으로)

  • KANG, Hwa-Seok
    • The Korean Journal of Franchise Management
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    • v.10 no.3
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    • pp.37-52
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    • 2019
  • Purpose - This study examined the relationship between service quality, perceived value, customer satisfaction and behavioral intention of coffee shop using CoffeeSERV scale. In this model, CoffeeSERV scale consists of fundamental characteristics, physical environment, confidence, beverage characteristics, and representation factors. In particular, this study tried to demonstrate the moderating effect of customer's regulatory focus orientation among in the relationships between service quality, perceived value, customer satisfaction and behavioral intention. Research design, data, and methodology - This study intends to expand the existing service quality research by using the coffee shop service quality measurement tool developed by domestic researchers. I wanted to find some implications for the trend. In particular, this study applied the regulatory focus theory to identify individual differences of customers regulatory focusing motivation. In order to verify several hypotheses, the data were 227 college students and analyzed with SPSS/PC 21.0 and SmartPLS 3 program. The moderating role of customer's regulatory focusing motivation was tested using multi-group analysis with SmartPLS 3 program. Results - The resutls are as follows. First, the fundamental characteristic factors only had a significant influence on the utilitarian value perception, but in the hedonic value perception, all other service factors except for the beverage characteristic had a statistically significant effect. Second, utilitarian and hedonic value had significant effects on customer satisfaction. Third, customer satisfaction had a significant effect on behavioral intention. Finally, the regulatory focus orientation played a moderating role in the relationship between beverage characteristic - utilitarian value, representation - utilitarian value, fundamental characteristic - hedonic value, physical environment - hedonic value, confidence - hedonic value, and utilitarian value - behavioral intention. Conclusions - The results of this study show that the various service quality factors that make up the CoffeeSERV scale have different effects on utilitarian and hedonic value. This means that perceived benefits from product and service experience have different impacts on the customer's experience. Therefore, marketers should identify the impacts of service quality dimension that customers who use coffee shops consider important, understand the impact process of these quality factors on experience value, customer satisfaction, and behavioral intention, and allocate limited marketing budget. The results also show that it is possible to establish differentiatied response strategies using customer's regulatory focus orientation to find ways to enhance utlitarian and hedonic value, customer satisfaction, and behavioral intention using various Coffeeshop service quality factors. At the end of this paper, some limitations and future research directions were suggested.

Big Data Analysis of Social Media on Gangwon-do Tourism (강원도 관광에 대한 소셜 미디어 빅데이터 분석)

  • JIN, TIANCHENG;Jeong, Eun-Hee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.3
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    • pp.193-200
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    • 2021
  • Recently, posts and opinions on tourist attractions are actively shared on social media. These social big data provide meaningful information to identify objective images of tourist destinations recognized by consumers. Therefore, an in-depth understanding of the tourist image is possible by analyzing these big data on tourism. The study is to analyze destination images in Gangwon-do using big data from social media. It is wanted to understand destination images in Gangwon-do using semantic network analysis and then provided suggestions on how to enhance image to secure differentiated competitiveness as a destination for tourists. According to the frequency analysis results, as tourism in Gangwon-do, Sokcho, Gangneung, and Yangyang were mentioned at a high level in that order, and the purpose of travel was restaurant tour, gourmet food, family trip, vacation, and experience. In particular, it was found that they preferred day trips, weekends, and experiences. Four suggestions were made based on the results. First, it is necessary to develop various types of hotels, accommodation facilities and experience-oriented tour packages. Second, it is necessary to develop a day-to-day travel package that utilizes proximity to the Seoul metropolitan area. Third, it is necessary to promote traditional restaurants and local food. Finally, it is necessary to develop tourist package suitable for healing and family travel. Through this research, the destination image of Gangwon-do was identified and a tourism marketing strategy was presented to improve competitiveness. It also provided a theoretical basis for the use of the big data of tourism consumers in the field of tourism business.

Effect of HMR Meal Kit Product Selection Attributes on Consumers Satisfaction and Other Recommendation Intention (HMR 밀키트 상품의 선택속성이 소비자만족 및 타인추천의도에 미치는 영향)

  • Kim, Dong-Soo;Kim, Chan-Woo
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.258-267
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    • 2021
  • This study attempted an empirical analysis study on the Meal Kit Product, whose interest and demand continued to increase according to the eating out trend in the Untact era. In addition, this study attempted to investigate the relationship between the factors of Home Meal Replacement Meal Kit Product Selection Attributes, Consumers Satisfaction, and Other Recommendation Intention. Convenience sampling was used for consumers with experience in using Meal Kit Products released by food service companies and start-up companies. The investigation period was conducted for about one month from July 01, 2020, and the final 285 copies were used for analysis. The SPSS 21.0 statistical package program was used to verify the hypothesis. As a result of the analysis, the price (β=.241), convenience (β=.317), and diversity (β=.191) of Hypothesis 1 had a significant effect on Consumers Satisfaction. Price (β=.482), convenience (β=.133), and diversity (β=.342) were found to have a significant effect on the intention to recommend others. It was analyzed that Hypothesis 3's Consumers Satisfaction (β=.443) had a significant effect on Other Recommendation Intention. Finally, through this study, we expect to be provided as basic research data related to Meal Kit Product. It is intended to be presented as a theoretical basis for the use of marketing and direction for the development of milk kit products for catering companies and restaurants.

A Study on the Policy Innovation Plan for Public Technology Commercialization (공공기술사업화의 정책 혁신 방안에 관한 연구)

  • Yun, Jeong-Keun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.212-220
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    • 2021
  • National R&D investment has steadily increased, reaching number 5 in the world as of 2018. However, for public technology commercialization, the level of discovery of policy models through various cooperation initiatives between government ministries is insufficient, and the performance system that can spread technology commercialization is also limited. In this respect, in order to create results in public technology commercialization, it is necessary to prepare alternatives to strengthen multi-ministerial policy cooperation and increase policy execution power. In this paper, we analyzed the current state of national R&D projects by major ministries and suggested an optimized technology commercialization plan through analysis of the structure, budget, and form of each project. In particular, an alternative in terms of policy efficiency was suggested by analyzing the problems of policy discovery that have not been studied previously. This study is of great significance in that it diagnosed problems of public technology commercialization in terms of the lack of systematic research on public technology commercialization and suggested policy advancement for the spread of technology use and the strategic direction in terms of commercialization.

The Current Situation and Development Strategies of Fashion Start-up Companies : Focused on Rising Fashion Designers in Busan (패션스타트업 기업의 현황과 발전에 관한 연구 : 부산 패션 신진디자이너를 중심으로)

  • Chang, Ji-Yean;Lee, Jin-Hwa
    • Journal of the Korea Convergence Society
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    • v.12 no.2
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    • pp.163-171
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    • 2021
  • The purpose of this study is to examine the current operation condition of fashion start-up companies and the characteristics of their founders in Fashion Creative Studio that is one of government programs supporting fashion start-up of rising fashion designer's brands in Korea and one of supporting facilities. For this purpose, this study surveyed 32 fashion start-up companies founders in Busan Fashion Creative Studio and analyzed the data based on the survey. The results are as follows. First of all, 82% of the founders have experience to start their business in 20s and 60% of founders with not more than 3 to 5 years of work experience related to fashion challenge to start a business. Secondly, major distribution channels of the fashion start-up companies are mainly on-line open-market consisting of 36% and SNS is up to 80% as the main promotion method. In addition, exports to China account for 71% of all exports. Lastly, 33% of businesses consider viral marketing by influencer and 50% of them make plan to export their items to East Asia. It is of research significance that this study can suggest the successful direction of establishing and operating fashion start-up companies through making good use of Fashion Creative Studio, the supporting program including facility.

Sell-sumer: The New Typology of Influencers and Sales Strategy in Social Media (셀슈머(Sell-sumer)로 진화한 인플루언서의 새로운 유형과 소셜미디어에서의 세일즈 전략)

  • Shin, Hajin;Kim, Sulim;Hong, Manny;Hwang, Bom Nym;Yang, Hee-Dong
    • Knowledge Management Research
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    • v.22 no.4
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    • pp.217-235
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    • 2021
  • As 49% of the world's population uses social media platforms, communication and content sharing within social media are becoming more active than ever. In this environmental base, the one-person media market grew rapidly and formed public opinion, creating a new trend called sell-sumer. This study defined new types of influencers by product category by analyzing the subject concentration of the commercial/non-commercial keywords of influencers and the impact of the ratio of commercial postings on sales. It is hoped that influencers working within social media will be helpful to new sales strategies that are transformed into sell-sumers. The method of this study classifies influencers' commercial/non-commercial posts using Python, performs text mining using KoNLPy, and calculates similarity between FastText-based words. As a result, it has been confirmed that the higher the keyword theme concentration of the influencer's commercial posting, the higher the sales. In addition, it was confirmed through the cluster analysis that the influencer types for each product category were classified into four types and that there was a significant difference between groups according to sales. In other words, the implications of this study may suggest empirical solutions of social media sales strategies for influencers working on social media and marketers who want to use them as marketing tools.