• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.4
• /
• pp.352-359
• /
• 2024

We analyze the digital marketing strategies of Rare Beauty, a cosmetic brand founded by Selena Gomez in 2020, focusing on inclusivity and mental health advocacy as core pillars of its brand mission. Through an in-depth review of the brand's website design, SEO performance, social media engagement, and online review management-the key elements of a firm's digital marketing activities-we reveal Rare Beauty's success in authentically connecting with diverse audiences and fostering brand loyalty. Our analysis uncovers noteworthy findings: while Rare Beauty excels in creating a mission-driven aesthetic across digital platforms, there are areas for improvement, particularly in enhancing user experience by improving website readability, refining the review filtering system, and expanding social media engagement. Optimizing technical SEO could further increase discoverability. We propose these recommendations to strengthen Rare Beauty's online presence and demonstrate how the brand's unique approach offers valuable insights for industry professionals aiming to integrate social values into digital marketing strategies.

• Journal of Information Processing Systems
• /
• v.17 no.5
• /
• pp.989-1003
• /
• 2021

With the recent increase in the types of services provided by Internet companies, collection of various types of data has become a necessity. Data collectors corresponding to web services profit by collecting users' data indiscriminately and providing it to the associated services. However, the data provider remains unaware of the manner in which the data are collected and used. Furthermore, the data collector of a web service consumes web resources by generating a large amount of web traffic. This traffic can damage servers by causing service outages. In this study, we propose a website search engine that employs a system that controls user information using blockchains and builds its database based on the recorded information. The system is divided into three parts: a collection section that uses proxy, a management section that uses blockchains, and a search engine that uses a built-in database. This structure allows data sovereigns to manage their data more transparently. Search engines that use blockchains do not use internet bots, and instead use the data generated by user behavior. This avoids generation of traffic from internet bots and can, thereby, contribute to creating a better web ecosystem.

• Journal of Korea Society of Industrial Information Systems
• /
• v.19 no.4
• /
• pp.133-146
• /
• 2014

This paper mainly focuses on the design factors of a website targeted at shopping mall websites in China and Korea. We formulated 15 different hypotheses regarding how those design factors are different. The targeted websites are "Gmarket" in Korea and "Taobao" in China. The selected design factors of a shopping mall website are (1) color and design, (2) photo, graphic, and font size, (3) the clarity of information delivery, (4) website structure, (5) screen balance, (6) product display, (7) product harmony, (8) a form of font and icon, (9) visual atmosphere, (10) differentiated color, (11) interesting words, (12) technical skills, (13) entire visual design and atmosphere, (14) navigation, (15) search function for products or information. As a result of analyzing the result using the SAS 9.2 package tool, we figured out that there was a difference between design factors. Additionally, we analyzed this difference and suggested a strategy to design the effective shopping mall web sites.

• Journal of Digital Convergence
• /
• v.8 no.3
• /
• pp.19-37
• /
• 2010

One of the core issues in the realization of e-government is the effective implementation of a website. The current trend of e-government is developing individual web sites and portals, covering such fields as education, tax, economics, real estate, travel, and health. Evaluating e-government web sites is essential for improving web sites. These principles can be included in usability in a broader concept. Website usability has attracted considerable research on website evaluation and has been regarded as one of the most important criteria for measuring and evaluating websites. Usable e-government web sites make citizens willing to search for helpful information or solve their civil applications. The objective of this paper is to suggest an Analytic Hierarchy Process (AHP) method for evaluating e-government web sites. The proposed AHP method has two special characteristics compared to general AHP approaches. First, all citizens who are e-government users can evaluate both the usability criteria and the web sites, but the weighting mechanism differs between criteria and web sites. Secondly, a pairwise comparison is time-consuming and not cost effective with many criteria. Therefore for evaluating a website with respect to a sub-criterion, we develop checklist items as measure scales with a seven-point rating. This method is efficient as it enable us to avoid the pairwise comparison mechanism between sub-criteria. A new computation procedure for the AHP is developed that combines and synthesizes priorities of portals in the case that two decision maker groups are involved.

• Journal of the Korean Society for information Management
• /
• v.33 no.1
• /
• pp.181-196
• /
• 2016

The objective of this study is to evaluate the organization system and the labeling system of information architecture of a website for the elderly. To achieve this aims, we selected a representative website, i.e., Naver, and the participants were conducted given three types of search tasks using their own information literacy skills and they were answered to the questionnaire and an additional interview, if necessary. A total of 74 valid data were collected through the experiment, and we analyzed the data using SPSS Ver. 20. It revealed that Naver received a positive evaluation in the organization system aspect, particularly its systematic subject categorization and chronological browsing mechanisms. Old adults were preferred the icon-based labeling than the text-based labeling system, and showed a significant difference among their academic backgrounds.

• Journal of Korean Society of Archives and Records Management
• /
• v.24 no.1
• /
• pp.205-230
• /
• 2024

Recently, as user demand to receive various information through one integrated institution has increased, "Larchiveum," which integrates the functions and services of archives, libraries, and museums, has been established. Thus, web information services are provided in an integrated manner through the Larchiveum website. This study attempted to analyze the information services on the Larchiveum website in detail. To this end, the researchers developed a web information service evaluation index reflecting the characteristics of Larchiveum that are differentiated from information services offered by websites of general archives, libraries, and museums. Recognizing the importance of evaluation indicators, the researchers developed evaluation indicators, and an evaluation of the three institutions' websites was conducted. The assessment showed that the currently operating Larchiveum website provides ample basic business introduction and interface navigation, but the use of search results in the information search area was insufficient. Complementary points were presented in these areas, and measures that would be effective if additionally operated were also suggested. This research sought to provide practical assistance in configuring and providing web services for the newly established Larchiveum in hopes that the evaluation indicators used in this study will be applied, supplemented, and utilized well in the future.

• Journal of Distribution Science
• /
• v.19 no.7
• /
• pp.5-17
• /
• 2021

Purpose: The distribution of goods and the flow of information, determined by consumer behavior toward online shopping, is drastically popular worldwide. This study examines some factors such as brand trust, online sales promotion, consumer personality, delivery service, quality assurance, information search, and online consumer satisfaction influence online shopping behavior. Research design, data, and methodology: A constructed questionnaire in an online survey was conducted with 241 random cluster respondents in the greater Jakarta Area. Structure equation model was utilized to analyze and verify all the data. Results: Research finding indicates online sales promotion, delivery service, quality assurance, and online consumer satisfaction positively influence information search. Meanwhile, brand trust, quality assurance, and information search positively influence online shopping behavior. However, the result illustrates that consumer personality negatively influences both information search and online shopping behavior. Conclusions: To influence online shopping behavior, the most important factors that need to be considered by marketplaces are quality assurance. It positively motivates Indonesia's citizens to collect information and make unplanned purchases. The study finding can be a reference for brands to maintain and build outstanding product quality, an informational website, and an excellent marketing strategy so that customers can meet their expectations. Besides, it also broadens both companies' and individuals' knowledge about the digital revolution on consumer behavior.

• Journal of Korean Foot and Ankle Society
• /
• v.25 no.3
• /
• pp.126-132
• /
• 2021

Purpose: This study examined whether there are seasonal variations in the number of plantar fasciitis cases from the database of the Korean Health Insurance Review & Assessment Service and an internet search of the volume data related to plantar fasciitis and whether there are correlations between variations. Materials and Methods: The number of plantar fasciitis cases per month was acquired from the Korean Health Insurance Review & Assessment Service from January 2016 to December 2019. The monthly internet relative search volumes for the keywords "plantar fasciitis" and "heel pain" were collected during the same period from DataLab, an internet search query trend service provided by the Korean portal website, Naver. Cosinor analysis was performed to confirm the seasonality of the monthly number of cases and relative search volumes, and Pearson and Spearman correlation analysis was conducted to assess the correlation between them. Results: The number of cases with plantar fasciitis and the relative search volume for the keywords "plantar fasciitis" and "heel pain" all showed significant seasonality (p<0.001), with the highest in the summer and the lowest in the winter. The number of cases with plantar fasciitis was correlated significantly with the relative search volumes of the keywords "plantar fasciitis" (r=0.632; p<0.001) and "heel pain" (r=0.791; p<0.001), respectively. Conclusion: Both the number of cases with plantar fasciitis and the internet search data for related keywords showed seasonality, which was the highest in summer. The number of cases showed a significant correlation with the internet search data for the seasonality of plantar fasciitis. Internet big data could be a complementary resource for researching and monitoring plantar fasciitis.

• International Journal of Contents
• /
• v.4 no.1
• /
• pp.7-11
• /
• 2008

This research analyzes the need for technical elements based on related articles and empirical experience when culture tourism homepage is to be developed or renewed focused on the research of main elements in 6 web sites. Technological elements required for the development of culture tourism homepage are use, contents, structure, linkage, search, and appearance. Tourism information service provides many conveniences to tourists, and help to maximize profits and additional income for urban tourism.

• Journal of Practical Engineering Education
• /
• v.11 no.2
• /
• pp.175-180
• /
• 2019

Existing fashion web sites show only the search results for one type of clothes in items such as tops and bottoms. As the fashion market grows, consumers are demanding a platform to find a variety of fashion information. To solve this problem, we devised the idea of linking image classification through deep learning with a website and integrating SNS functions. User uploads their own image to the web site and uses the deep learning server to identify, classify and store the image's characteristics. Users can use the stored information to search for the images in various combinations. In addition, communication between users can be actively performed through the SNS function. Through this, the plan to solve the problem of existing fashion-related sites was prepared.