• The Journal of Society for e-Business Studies
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• v.23 no.1
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• pp.65-88
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• 2018

This case is an analysis of how a late comer to the market of online dating in Korea, Dorsia, successfully develops its services called Amanda. Since 2010, the online dating market in Korea has been fast growing. Despite its short history, many corporations have attempted to make success in the market. But most of them were unable to gain foothold in a market where the first comer had a huge advantage. Amanda, however, has provided differentiated services to great success in a short period. This paper conducted a semi-structured interview with major executives of Dorsia to acquire data which were then used to interpret based on the theories of business management and psychology. This study presents a strategic insight into how competitiveness can be gained in internet-based businesses in the online dating market, as well as those in markets that have similar traits. Moreover, by identifying issues that need to be addressed in order for Amanda to continue its growth, the study seeks to simultaneously review the issues that need resolution related to online commerce, as well as the great potential of online commerce.

• Asia Marketing Journal
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• v.24 no.4
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• pp.169-177
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• 2023

In the current study, we explore how women decide whether to accept or reject a potential match offered by a dating app (Tinder). Specifically, we were trying to identify overlying factors that influence the decision and understand how women make a judgment based on limited cues provided by a Tinder profile. Women largely base their decision on the perceived attractiveness and character of the potential match. The findings suggest that attractiveness is highly subjective, with no universal rules that can be quantified; thus, it is hard to predict acceptance of the potential match. There are however factors that contribute significantly to profile rejection, such as a big age difference and the inability to clearly see the face of the person.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.336-345
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• 2014

Social dating contents that transformed from online dating service needs understanding about the market status, magnitude, business concept and related area, and its development process. Nowadays the field of dating service had expanded from off-line to on-line, and then started to be changed to social dating services with the development of the highest smart phone penetration rate. Therefore, we investigated about the market, business concept and its functions of social dating application, and then classified the typology of those social dating applications according to feature with utilization rate of user. We had described about its partial deficits and improvements on the social dating application through comparative analysis and business model analysis about successful case. As conclusions, we suggested future strategies of competition and directivity with an improving way about concrete plan for industry development of social dating application.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.1-11
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• 2018

This paper consider the MBTI match type in order to meet the customer's dating in internet and online. The MBTI match type is confirmed through appropriate surveys and identifies the appropriate type of preference for each type. The preference type is different according to each MBTI type, and even though the same preference type is used, the preference type of each of men and women is different. In order to solve these problems, the preference type of each man and woman is weighted, and the weighted weights are used to calculate the fitness between the two. The system that weights the MBTI match type is highly likely to match in an online dating system because it uses the social human nature of people, and can be used in interpersonal relationship systems and teaching and learning systems and calibration systems.

• Information Systems Review
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• v.14 no.3
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• pp.115-129
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• 2012

A matchmaking system is a type of recommender systems that provides a set of dating partners suitable for the user by online. Many matchmaking systems, which are widely used these days, require users to specify their preferences with regards to ideal dating partners based on criteria such as age, job and salary. However, some users are not aware of their exact preferences, or are reluctant to reveal this information even if they do know. Also, users' selection standards are not fixed and can change according to circumstances. This paper suggests a new matchmaking system called Decision Tree based Matchmaking System (DTMS) that automatically adjusts the stated standards of a user by analyzing the characteristics of the people the user chose to contact. AMMS provides recommendations for new users on the basis of their explicit preferences. However, as a user's behavioral records are accumulated, it begins to analyze their hidden implicit preferences using a decision tree technique. Subsequently, DTMS reflects these implicit preferences in proportion to their predictive accuracy. The DTMS is regularly updated when a user's data size increases by a set amount. This paper suggests an architecture for the DTMS and presents the results of the implementation of a prototype.

• Korean Journal of Culture and Social Issue
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• v.29 no.4
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• pp.569-593
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• 2023

The purpose of this study was to investigate the mediating effects of rejection sensitivity in pathological narcissism and dating violence, and to verify whether there is a gender difference in each variable, further examining the gender difference in the mediating pathways. The participants of this study were 381 men and women in 20s living across the country, and online self-report surveys was conducted regarding their experiences of pathological narcissism, rejection sensitivity, and four types of dating violence. As a result of verifying gender differences, it was found that women had a higher vulnerability to narcissism, rejection sensitivity and committed more psychological violence, sexual violence, and controlling behavior than men. As a result of the mediation analysis, it was found that rejection sensitivity partial mediated the effect of pathological narcissism on psychological violence and control behavior, but it showed a complete mediation effect on sexual violence. And there was no mediating effect of rejection sensitivity between pathological narcissism and physical violence. As a result of measuring the moderating effect of gender in this mediating pathways, the moderated mediating effect of gender was verified in the effect of naricissistic grandiosity and narcissistic vulnerability on control behavior through rejection sensitivity. These results show that pathological narcissism promotes psychological and sexual violence in both men and women, and rejection sensitivity acts as a mediator in this process. In addition, the effect of pathological narcissism on the control behaviors through rejection sensitivity was significantly higher in women than in men, indicating that there are gender differences in the mediated pathways. Finally, the implications and limitations of this study and suggestions for follow-up studies were discussed.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.177-192
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• 2012

This is a study of match-making systems that considers the mutual satisfaction of matching partners. Recently, recommendation systems have been applied to people recommendation, such as recommending new friends, employees, or dating partners. One of the prominent domain areas is match-making systems that recommend suitable dating partners to customers. A match-making system, however, is different from a product recommender system. First, a match-making system needs to satisfy the recommended partners as well as the customer, whereas a product recommender system only needs to satisfy the customer. Second, match-making systems need to include as many participants in a matching pool as possible for their recommendation results, even with unpopular customers. In other words, recommendations should not be focused only on a limited number of popular people; unpopular people should also be listed on someone else's matching results. In product recommender systems, it is acceptable to recommend the same popular items to many customers, since these items can easily be additionally supplied. However, in match-making systems, there are only a few popular people, and they may become overburdened with too many recommendations. Also, a successful match could cause a customer to drop out of the matching pool. Thus, match-making systems should provide recommendation services equally to all customers without favoring popular customers. The suggested match-making system, called Mutually Beneficial Matching (MBM), considers the reciprocal satisfaction of both the customer and the matched partner and also considers the number of customers who are excluded in the matching. A brief outline of the MBM method is as follows: First, it collects a customer's profile information, his/her preferable dating partner's profile information and the weights that he/she considers important when selecting dating partners. Then, it calculates the preference score of a customer to certain potential dating partners on the basis of the difference between them. The preference score of a certain partner to a customer is also calculated in this way. After that, the mutual preference score is produced by the two preference values calculated in the previous step using the proposed formula in this study. The proposed formula reflects the symmetry of preferences as well as their quantities. Finally, the MBM method recommends the top N partners having high mutual preference scores to a customer. The prototype of the suggested MBM system is implemented by JAVA and applied to an artificial dataset that is based on real survey results from major match-making companies in Korea. The results of the MBM method are compared with those of the other two conventional methods: Preference-Based Matching (PBM), which only considers a customer's preferences, and Arithmetic Mean-Based Matching (AMM), which considers the preferences of both the customer and the partner (although it does not reflect their symmetry in the matching results). We perform the comparisons in terms of criteria such as average preference of the matching partners, average symmetry, and the number of people who are excluded from the matching results by changing the number of recommendations to 5, 10, 15, 20, and 25. The results show that in many cases, the suggested MBM method produces average preferences and symmetries that are significantly higher than those of the PBM and AMM methods. Moreover, in every case, MBM produces a smaller pool of excluded people than those of the PBM method.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.10
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• pp.1-9
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• 2018

The purpose of this exploratory study is to identify the mobile phone applications (apps) used by foreign tourists visiting South Korea through a pilot study using focus groups and individual interviews. Concentrating on tourist mobile app use in a smart tourism environment and categorized through a taxonomy of mobile applications lays the framework and determines the factors boosting tourism smartphone app trends by foreign tourists visiting South Korea. Researchers collected data through ethnographic methods and analyzed it through qualitative research to uncover major themes within the smart tourism app use phenomenon. The researchers coded, counted, analyzed, and then divided the findings gleaned from a pilot study and interviews into a taxonomy of seven logical smartphone app categories. The labeling and coding of all the data accounting for similarities and differences can be recognized and are logically discussed in the implications of the apps used by tourists to assist tourist destinations. More specifically these findings will assist smart tourism destinations by better understanding foreign tourist smartphone app use behavior. Tourists visiting South Korea interviewed in this study exhibited significant mastery of Internet of Things (IoT) technologies, craved free WiFi access, and utilized smartphone apps for all facets of their travel. Findings show major concentrations of app use in bookings of accommodations, tourist attractions, online shopping, navigation, wayfinding, augmented reality, information searching, language translation, gaming, and online dating while traveling in South Korea.

• Journal of Conservation Science
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• v.35 no.4
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• pp.295-307
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• 2019

In the process of the conservation treatment of the glass eyes of the stone standing Maitreya of Daejosa temple, Buyeo (Treasure No. 217), a blackish material, expected to be the adhesive for fixing the glass eyes, was collected and analyzed. Infrared spectroscopy and pyrolysis/gas chromatography/mass spectrometry (pyrolysis/GC/MS) were employed to identify the organic material in the sample. The IR analysis revealed the presence of materials such as apatite or bone black. The pyrogram of the sample was similar to that of Asian lacquer, among traditional adhesives. In particular, the pyrolysis/GC/MS analysis with online methylation detected 1,2-dimethoxy-3-pentadecylbenzene, methyl 7-(2,3- dimethoxyphenyl) heptanoate, and methyl 8-(2,3-dimethoxyphenyl)octanoate. These are known to be the pyrolysis products of catechol and its oxidation product, which indicated the presence of Asian lacquer in the sample. X-ray diffraction, X-ray fluorescence, and thermal gravimetry analysis showed that the sample contained ca. 60% inorganic substances, including apatite. Radiocarbon dating of the sample suggested that the blackish material was applied between the late 13^th and early 15^th century, revealing some discrepancy with the art-historical manufacturing time of the Maitreya. From the above analysis, it was concluded that Asian lacquer and bone ash were used to attach the glass eyes by forming a thick blackish lacquer layer.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.467-474
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• 2018

This study was conducted to investigate the effect of unmarried women's self-efficacy and sex role stereotypes on sexual assertiveness. This study is a descriptive research study. The subjects of this study were unmarried women who had experience of dating. Data collection was conducted by online from July 17th to 19th, 2018. The final 190 subjects were the subject of the study and data analysis was performed using the SPSS 24.0 program. Pearson's correlation was used for correlations between variables, and multiple regression analysis was performed to determine the effect on sexual assertiveness. The results showed that there was a significant difference in the scores of the sexual assertiveness according to the age, having a boyfriend, number of intimate relationship, and sexual intercourse experience. There was a positive correlation between sexual assertiveness and self-efficacy, while there was a negative correlation between sexual assertiveness and sex role stereotypes. Factors influencing sexual assertiveness were sexual intercourse experience and sex role stereotypes, which accounted for 41.7%. This study was meaningful in that it analyzed the factors influencing sexual assertiveness among unmarried women who are not college students. In order to increase the sexual assertiveness of unmarried women, it is necessary to have a program that takes into account stereotypes of sex roles.