• Title/Summary/Keyword: Online Market Analysis

Search Result 515, Processing Time 0.031 seconds

A Study on the Purchasing Factors of Color Cosmetics Using Big Data: Focusing on Topic Modeling and Concor Analysis (빅데이터를 활용한 색조화장품의 구매 요인에 관한 연구: 토픽모델링과 Concor 분석을 중심으로)

  • Eun-Hee Lee;Seung- Hee Bae
    • Journal of the Korean Applied Science and Technology
    • /
    • v.40 no.4
    • /
    • pp.724-732
    • /
    • 2023
  • In this study, we tried to analyze the characteristics of color cosmetics information search and the major information of interest in the color cosmetics market after COVID-19 shown in the text mining analysis results by collecting data on online interest information of consumers in the color cosmetics market after COVID-19. In the empirical analysis, text mining was performed on all documents such as news, blogs, cafes, and web pages, including the word "color cosmetics". As a result of the analysis, online information searches for color cosmetics after COVID-19 were mainly focused on purchase information, information on skin and mask-related makeup methods, and major topics such as interest brands and event information. As a result, post-COVID-19 color cosmetics buyers will become more sensitive to purchase information such as product value, safety, price benefits, and store information through active online information search, so a response strategy is required.

Development of dental services markets segmentation and strategy by use of conjoint analysis (컨조인트 분석을 이용한 치과 의료서비스 시장 세분화와 전략 개발)

  • Kim, Jin-Hwan;Kim, Jae-Hwan;Kim, Myeng-Ki
    • Health Policy and Management
    • /
    • v.20 no.3
    • /
    • pp.1-20
    • /
    • 2010
  • Objectives : This study is purposed to segment dental service markets with reflecting customer's preference and to suggest some marketing strategies applied to each segmented market. Methods : The customer's data collected from a series of online survey comprise such factors as expertise of dentist, courtesy, clinic size, equipment, price and distance, including some socio-demographics. A conjoint analysis and a clustering analysis with estimated coefficients were performed to find out some dental market segments for three dental service types such as dental caries, esthetic treatments and dental implants. Results : Three or four market segments for each dental service type are derived from the analysis, and subsequently market characteristics for each derived segment are explored. Furthermore, some dental marketing strategies for each segment are suggested for better management. Conclusion : A conventional way of developing dental marketing strategies can be improved, while specific customer's preference are responded.

Designing OLAP Cube Structures for Market Basket Analysis (장바구니 분석용 OLAP 큐브 구조의 설계)

  • Yu, Han-Ju;Choi, In-Soo
    • Journal of the Korea Society of Computer and Information
    • /
    • v.12 no.4
    • /
    • pp.179-189
    • /
    • 2007
  • Every purchase a customer makes builds patterns about how products are purchased together. The process of finding these patterns, called market basket analysis, is composed of two steps in the Microsoft Association Algorithm. The first step is to find frequent item-sets. The second step which requires much less time than the first step does is to generate association rules based on frequent item-sets. Even though the first step, finding frequent item-sets, is the core part of market basket analysis, when applied to Online Analytical Processing(OLAP) cubes it always raises several points such as longitudinal analysis becomes impossible and many unpractical transactions are built up. In this paper, a new OLAP cube structures designing method which makes longitudinal analysis be possible and also makes only real customers' purchase patterns be identified is proposed for market basket analysis.

  • PDF

A survey on consumers' purchase status of clothing products via online platforms - Focusing on the demographic characteristics of men and women in their 10s to 50s - (소비자들의 온라인 플랫폼 의류제품 구매실태 조사 - 10대~50대 남녀의 인구통계학적 특성을 중심으로 -)

  • Younghee Park
    • The Research Journal of the Costume Culture
    • /
    • v.31 no.5
    • /
    • pp.669-691
    • /
    • 2023
  • This study aims to analyze the variations in online clothing purchasing patterns based on demographic attributes and purchasing behavior. The survey subjects comprised individuals in their 10s to 50s who had prior experience with online shopping. The survey was conducted in Gyungnam from May to June 2022. A total of 397 questionnaires were analyzed using the χ2-test statistical method. The analysis of clothing purchase type based on demographic characteristics revealed differences in terms of gender, marital status, age, monthly income, and occupation. Notably, when analyzed by demographic characteristics and clothing purchase types, monthly online purchase frequency displayed significant differences in marital status, age, and occupation. Similarly, monthly purchase amounts through online platforms exhibited significant variations based on marital status, age, monthly income, and occupation. The online fashion platforms, when examined in relation to demographic characteristics and purchase types, showed significant differences across all variables. Clothing purchases by consumers seeking individuality and differentiation exhibited significant differences in age, occupation, and purchase types. Furthermore, the reasons for choosing online platforms for clothing purchases varied significantly based on age and occupation. These findings indicate diverse purchasing behaviors on online platforms influenced by demographic characteristics. These findings can be valuable for effectively segmenting the online fashion market.

Big data analysis on NAVER Smart Store and Proposal for Sustainable Growth Plan for Small Business Online Shopping Mall (네이버 스마트스토어에 대한 빅데이터 분석 및 소상공인 온라인쇼핑몰 지속성장 방안 제안)

  • Hyeon-Moon Chang;Seon-Ju Kim;Chae-Woon Kim;Ji-Il Seo;Kyung-Ho Lee
    • The Journal of Bigdata
    • /
    • v.7 no.2
    • /
    • pp.153-172
    • /
    • 2022
  • Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

Soccer Transfer Gossip Analysis using Keyword Ranking

  • Sinn, Seung-Woo;Kang, Dae-Ki
    • International Journal of Advanced Culture Technology
    • /
    • v.5 no.4
    • /
    • pp.51-56
    • /
    • 2017
  • In every Summer and Winter, there open soccer transfer markets. And these markets draw huge attention from soccer fans and other ordinary people all around world. This phenomenon might indicate great interest of people from the amount of news, blog articles, public messages and replies from online community and forums about popular players and clubs of many leagues. Especially, transfer markets in the year 2017 have generated many gossips than before. In this research, we performed keyword analysis and ranking of news and messages collected and analyzed from online news sites and online forum sites, in order to investigate who and what clubs are mainly discussed.

A Comparative Study on Players' Satisfaction, Trust toward Game Publishers, and Roles of Community in Korean and Japanese Online Game markets (한국과 일본 온라인 게이머의 게임 만족도, 신뢰도, 온라인 게임커뮤니티 인식에 관한 실증적 비교연구: 멀티그룹 공분산 구조분석을 중심으로)

  • Um, Myoung-Yong;Kim, Tae-Ung
    • Asia pacific journal of information systems
    • /
    • v.16 no.1
    • /
    • pp.103-125
    • /
    • 2006
  • Online game business has emerged as the most lucrative entertainment industry, with over 10 million players in South Korea and over 30million in Japan in 2005. While the interactive entertainment market continues to expand, with many new online game publishers entering the market, relatively little theory has been developed about which factors influence online gamers' behavioral intentions (i.e., loyalty, satisfaction, words of mouth, etc.) in this area. The purpose of this research is to investigate the relationships among the gamers' satisfaction, trust toward game publishers, the role of online game community, social reputation, and the managerial support of game publishers. We also examine the differences between Korean and Japanese gamers concerning the relationships of these key success factors. The structural model is tested with the data from entire data samples (i.e., Korean and Japanese gamers pooled together) and each of the sub-samples (i.e., Korean and Japanese gamers taken separately). Properties of the causal paths, including standardized path coefficients, the significance of difference, and variance explained for Trust and Satisfaction in the hypothesized model, are presented. Following the model test, we conduct a test of the differences in path coefficients between Korean and Japanese gamers. Statistical results show that, compared to Japanese gamers, Korean gamers had a greater salient effect on Social Reputation in determining. Trust, in addition to placing a greater emphasis on Support of Game Publishers in determining Social Reputation. Other interesting results concerning game Publishers' strategy are also presented.

The Impact of Coupang Reviews on Product Sales : Based on FCB Grid Model (쿠팡 리뷰가 상품 매출에 미치는 영향 분석 : FCB Grid Model을 기준으로)

  • Ryu, Sung Gwan;Lee, Ji Young;Lee, Sang Woo
    • The Journal of Information Systems
    • /
    • v.31 no.2
    • /
    • pp.159-177
    • /
    • 2022
  • Purpose Online reviews are critical for sales of online shopping platforms because they provide useful information to consumers. As the eCommerce market grows rapidly, the role of online reviews is becoming more important. The purpose of this study is to analyze how online reviews written by domestic consumers affect product sales by classifying the types of products. Design/methodology/approach This study analyzed how the effects of review characteristics(reviewer reputation, reviewer exposure, review length, time, rating, image, and emotional score) on the usefulness of online reviews differ depending on the product types. Subsequently, how the impact of review attributes (review usefulness, number of reviews, ratings, and emotional scores) on product sales differs according to each product type was compared. Based on the FCB Grid model, the product type was classified into high involvement-rational, high involvement-emotional, low involvement -rational, and low involvement-emotional product types. Findings According to the analysis result, the characteristics of reviews useful to consumers were different for each product type, and the review attributes affecting product sales were also different for each product type. This study confirmed that it revealed that product characteristics are major consideration in evaluating the review usefulness and the factors affecting product sales.

Quantitative Analysis of Flow in MMORPG Games (MMORPG 기반 게임의 몰입에 대한 정량적 분석 방법)

  • Nam, Byeong-Cheol;Bae, Ki-Tae
    • Journal of Korea Game Society
    • /
    • v.11 no.3
    • /
    • pp.73-84
    • /
    • 2011
  • Online game market accounts for 56.4% of entire game industry in Korea. MMORPG games account for a great part of online game market which have 45.27%. However, most of them are wholly reliant on their subjective criteria - not general rule or standard in the planning and developing process. For this reason, they can be easily misunderstood imitation game which has no difference or creativeness from masterpiece. In this paper to solve this problem especially deals with the quantification of flow through analysis of MMORPG to propose common information or method of quantitative analysis. The method of quantitative analysis which deals with the quantification of flow through analysis of successful MMORPG verifies the effectiveness of the proposed method.

An Analysis of Low-Carbon Certification Premium of Fresh Agricultural Products on Online (온라인 거래 신선 농산물의 저탄소 인증 프리미엄 분석)

  • Lee, Choon-Soo;Kim, Hyeon-Seo;Kim, Hyeon-Sik;Oh, Jin-A
    • Korean Journal of Organic Agriculture
    • /
    • v.30 no.3
    • /
    • pp.375-391
    • /
    • 2022
  • This study investigated the online transaction status of low-carbon certified fresh agricultural products and analyzed the low-carbon certified premium. For two months from March to April 2022, eight products (rice, apple, pear, sweet persimmons, paprika, tomatoes, cherry tomatoes, and lettuce) were surveyed at major online shopping malls. The low-carbon certification premium was analyzed using hedonic price analysis model. As a result of the online market survey, the low-carbon certified agricultural products were not traded in the case of rice, cherry tomatoes, and paprika. And the proportion of low-carbon certified agricultural products in the case of tomatoes and lettuce was low. As a result of the low-carbon premium analysis, of the five products that analyzed the low-carbon certification premium, four products excluding pear did not have a low-carbon certification premium. Thus, it is necessary to expand the sale of the low-carbon certified agricultural products by distributors, and various efforts to secure the premium of certified agricultural products are important.