• Journal of Information Technology Services
• /
• v.16 no.2
• /
• pp.139-156
• /
• 2017

Since the global financial crisis of 2008, the continuous development and innovation in technology-related fields such as information and communications technology (ICT) are likely to swim against the recession. In this paradoxical situation, the necessity of financial innovation through ICT is on the rise. For this reason, the appearance of Fintech is more meaningful as a new converged industry with the potential to lead financial innovation. The term of Fintech is derived from combining 'Finance' and 'Technology.' In South Korea, one of the most popular types of Fintech is mobile payment. KakaoPay, which is the first mobile easy payment service in Korea, is a much more simplified type of mobile payment service than ones used in the past, and is provided by the most popular mobile messenger service in Korea, KakaoTalk. However, KakaoPay has few active users in spite of its many advantages, which include convenience, simplicity, and a powerful platform. Thus, the main purpose of this paper is to investigate influencing factors of user resistance on KakaoPay. In order to investigate specific factors, a research model is developed based on the unified understanding of user resistance put forth by Laumer and Eckhardt (2012). After gathering online survey data from KakaoTalk users, an empirical analysis is conducted to verify this research model. The results of this study give insights regarding user resistance factors in the Fintech sector, and by so doing, it is expected that the important factors of user resistance could help the diffusion of new services when new mobile payment services appear in the near future.

• Journal of Korea Multimedia Society
• /
• v.25 no.2
• /
• pp.269-279
• /
• 2022

Though easy payment service is the most well accepted one among various fin-tech services, the users still face difficulties and feel embarrassed when they use it. Over the past few years, many studies have been done on the users' experiences of easy payment service but there are little studies directly exploring the users' inquiries on the web. In this paper, we analyzed users' questions on Kakao Pay, Naver Pay, and Samsung Pay in Naver Jisik-iN, the biggest inquiry service in Korea from 2019 to 2020. We used keyword analysis, association analysis, and sentiment analysis. We found out that each payment service has distinct inquiries from the users according to its platform which it is based on.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.6
• /
• pp.514-523
• /
• 2021

Recently, the proliferation of mobile simple payment services has been increasingly affecting people's lives. In addition, the increase in research from both China and Korea shows that the continuous development of simple mobile payment services will be very important in the future. The blog posts mentioning Kakao Pay and Alipay were collected, and keyword analysis was performed to investigate differences in consumers' responses to Kakao Pay and Alipay on social media. The frequency of keywords for each part of speech and the frequency of co-occurred words mentioned in one sentence were analyzed. Specifically, common words that appear in both Kakao Pay and Alipay blogs were extracted. The cooccurred words were analyzed to examine how different reactions were made on the same subject. As a result of the analysis, there were concerns among consumers about the trust of Kakao Pay and Alipay's benefits. For a mobile payment service to become competitive, it is necessary to add various additional services or solve security problems.

• International Journal of Internet, Broadcasting and Communication
• /
• v.9 no.3
• /
• pp.44-58
• /
• 2017

The purpose of this study is to prove the Korean Internet company, Kakao's resilience capacity. For it, this paper reviews the previous literatures regarding Kakao's business models and discusses 'resilience' theory. Then, it organizes the research questions based on the theoretical background and explains the research methodology. It investigates the case of Kakao's business and organization. The case analysis shows that five levers of resilience are a good indicator for a successful platform business evolution. The five levers are composed of coordination, cooperation, clout, capability, and connection: First lever, coordination that makes the company to restructure its silo governance in order to respond to actual business flow starting from the basic asset like game and music content; second lever, cooperation where the firm provides creative people with playground for startups such as KakaoPage; third lever, clout where the company shares its data by opening its API of AI and chatbot to $3^{rd}$ party developers; fourth lever, capability where the firm establishes AI R&D center, KakaoBrain as the function of multi-domain generalist for developing diverse platforms tackling customer needs; and the last fifth lever, connection where the firm continues to expand its platform business to the peripheries, O2O businesses such as KakaoTaxi, KakaoOrder, KakaoPay, and KakaoBank. In conclusion, this study proposes Internet companies to be a resilient platform utilizing those five levers of resilience in order to form successful platform. This study contributes to the agile innovation of Internet platform with ecological sense.

• Informatization Policy
• /
• v.23 no.3
• /
• pp.26-42
• /
• 2016

Recently, with the rapid growth of the O2O market, Fintech combining the finance and ICT technology is drawing attention as innovation to lead "O2O of finance", along with Fintech-based payment, authentication, security technology and related services. For new technology industries such as Fintech, technical sources, related systems and regulations are important but previous studies on Fintech lack in-depth research about systems and technological trends of the domestic Fintech industry. Therefore, this study aims to analyze domestic Fintech trends and find the insights for the direction of technology and systems of the future domestic Fintech industry by comparing Kakao Pay and Samsung Pay, the two domestic representative mobile payment services. By conducting a complete enumeration survey about the tweets mentioning Fintech until June 2016, this study visualized topics extraction, sensitivity analysis and keyword analyses. According to the analysis results, it was found that various topics have been created in the technologies and systems between 2014 and 2016 and different keywords and reactions were extracted between topics of Samsung Pay based on "devices" such as Galaxy and Kakao Pay based on "service" such as KakaoTalk. This study contributes to analyzing the unstructured data of social media by period by using social media mining and quantifying the expectations and reactions of consumers to services through the sentiment analysis. It is expected to be the foundation of Fintech industry development by presenting a strategic direction to Fintech related practitioners.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.6
• /
• pp.59-66
• /
• 2018

Recently, the use of mobile payment, called "Pay" payment, is increasing such as 'KakaoPay' and 'SamsungPay'. In Korea, various mobile payment services are running and emerging. The purpose of this study is to examine the intention to switch from using existing credit cards or check card to mobile payment service based on the two-factor theory. We empirically examined the effect of the two factors, the factors that enable switching and the factors that inhibit switching. Therefore, the study use switching cost and switching benefit as parameters to confirm the effect on the switching intention. In addition, this study intends to analyze the differences between two subgroups by the degree of personal innovativeness. We survey smartphone users and credit card or check card users, and analyzed the Smart PLS 3.0 using structural equation model to verify the significance of the research hypothesis.

• Journal of Information Technology Services
• /
• v.17 no.1
• /
• pp.155-170
• /
• 2018

This study examines a data-driven approach for software test automation at an online shopping site. Online shopping sites typically change prices dynamically, offer various discounts or coupons, and provide diverse delivery and payment options such as electronic fund transfer, credit cards, mobile payments (KakaoPay, NaverPay, SyrupPay, ApplePay, SamsungPay, etc.) and so on. As a result, they have to test numerous combinations of possible customer choices continuously and repetitively. The total number of test cases is almost 584 billion. This requires somehow automation of tests in settling payments. However, the record playback approach has difficulties in maintaining automation scripts due to frequent changes and complicated component identification. In contrast, the data-driven approach minimizes changes in scripts and component identification. This study shows that the data-driven approach to test automation is more effective than the traditional record playback method. In 2014 before the test automation, the monthly average defects were 5.6 during the test and 12.5 during operation. In 2015 after the test automation, the monthly average defects were 9.4 during the test and 2.8 during operation. The comparison of live defects and detected errors during the test shows statistically significant differences before and after introducing the test automation using the data-driven approach.

• Journal of Information Technology Services
• /
• v.15 no.1
• /
• pp.299-319
• /
• 2016

This study first introduces platform services and their business models. On the basis of the concepts of business ecosystem, we present a framework for distinguishing types of the platform service business models. Two key characteristics of business ecosystems-ecosystem configuration and value production process-are employed as fundamental dimensions for constructing typology. In particular, we also present the notion of value ecosystem, where not a single platform provider but a federation of platforms constitutes a virtual platform and completes a service system. The value ecosystem represents two distinct types of platform service business models : meta-platform ecosystem and platform coalition ecosystem. They show different governance structure in the platform federation and service flows across the ecosystem. We present detailed analyses of these two value ecosystems focusing on relevant cases of e-payment FinTech : Apple Pay as an example of meta-platform and Kakao Pay for platform coalition. Our conceptual typology contributes to platforms' proper strategy formulation and presents policy implications to, for example, platform neutrality.

• Journal of Information Technology Services
• /
• v.15 no.2
• /
• pp.185-201
• /
• 2016

Recently, due to the rapid development of IT (information technologies), a variety of attempts have been made to incorporate IT into other fields such as finance and manufacturing. Among them, a novel concept in the spotlight is FinTech, which is a combined word of finance and technology. FinTech is a line of business demonstrating an innovation development through IT in the financial service industry. One of the most popular types of FinTech is a third-party mobile payment service (MPS), the examples of which can be easily found in South Korea while the actual use of the service is relatively inactive. Therefore, the main purpose of this paper is to empirically investigate influencing factors of intention to use the third-party MPS. Based on individual characteristics and the task-technology fit model, the research model of the study is developed, with switching cost included as a moderating variable. The results of structural equation model testing with 316 potential users of Kakao Pay, one of the most popular business models of the third-party MPS, show that innate innovativeness, task characteristics, and technology characteristics are positively influencing task-technology fit, which in turn significantly affects intention to use the third-party MPS. The negative moderating role of switching cost is also found. These results could help managers develop better strategies to motivate potential users to participate in their services.

• The Journal of the Korea Contents Association
• /
• v.19 no.5
• /
• pp.426-442
• /
• 2019

This study identifies possible determinants that may have influences on the switching behavior from the current payment system of credit or check cards to the easy payment service based on push-pulling-mooring model. And this research empirically tests how those determinants affect switching intention to the easy payment service. The moderating effect of policy expectation is also taken into account. The findings show switching intention to the easy payment service is influenced by the followings: dissatisfaction with the current payment system as a pushing factor, perceived easy of use and trust in easy payment service as pulling factors, and affective/cognitive inertia and unfavorable subjective norm as mooring factors. The results also show that moderating effect of policy expectation exists in the relationship between perceived ubiquitousness and switching intention.