• The Journal of Economics, Marketing and Management
• /
• v.6 no.1
• /
• pp.1-8
• /
• 2018

Purpose - Local social commerce market has grown up remarkably. And, Coupang has shown new delivery strategy of rocket delivery. Making new paradigm at local market, Coupang has expanded market scale. This study investigated state of local social commerce market, weight and promotion strategy of Coupang market to find out competitiveness edge of Coupang. Research design, data, and methodology - The study investigated state and concept of social commerce to find out state, problems and competitiveness of social commerce. New distribution service was short of precedent studies. Statistical analysis and experimental analysis were not used, and interview was done to investigate three of social commerce businesses. Results - CRM construction is insufficient to have poor system, Local delivery system could not be made enough at overnight delivery and customers were dissatisfied with ties with another company. Promotion shall be done by delivery system for increase of profitability, funding for more investment, chatbot to build new customer control system, and new delivery system to produce profit. Conclusions - Coupang and others have grown up rapidly to worsen profit and to jeopardize survival. Excessive initial investment has threatened the businesses, for instance, low sales of Amazon, excessive expenses, bench marking of logistics system, and others.

• Journal of Distribution Science
• /
• v.21 no.4
• /
• pp.91-101
• /
• 2023

Purpose: Research on the valuation of the e-commerce distribution companies is necessary because the traditional valuation methodology cannot be easily applied. Considering the valuation and initial public offering (IPO) of Coupang, Korea's leading e-commerce company, this study contributes to the literature by examining various valuation methods applicable to corporate valuation in the e-commerce industry and provides their implications. Research design, data and methodology: This case study investigates research, analyst reports, news articles, and magazines to review the valuation methods for companies in the e-commerce industry and analyzes the case of the Coupang IPO. Results: A valuation method that considers growth potential, which is important for companies in the e-commerce industry, is used for IPOs. This led to Coupang's successful IPO on the New York Stock Exchange despite its accumulated losses. However, the continued price decline since listing suggests that Coupang's valuation should have considered more factors. Conclusions: This study provides guidelines for the valuation of companies in the e-commerce industry, which eventually improves the overall industry. Moreover, this study provides directions for improving the valuation methods for e-commerce firms.

• The Journal of Society for e-Business Studies
• /
• v.27 no.2
• /
• pp.105-135
• /
• 2022

As COVID-19 has led to a surge in e-commerce Buy Now Pay Later(BNPL) has become preferred choice among millennials. In Korea Coupang followed by Naver Pay offers a deferred payment, aiming to create customer lock-in effect, save credit card processing fee and lay the groundwork for entering into new financial services. However the literature related to the influential factors of customers' usage intention toward a deferred payment is scarce. For the study, a multi-group analysis was carried out to find differences between Naver shopping and Coupang. The results revealed that the important factors that affect a deferred payment adoption were compatibility, impulsive buying tendency in Naver shopping, whereas compatibility, relative advantage, additional value in Coupang(listed in order of most important). In addition, impulsive buying tendency had a positive effect on adoption intention in Naver shopping and on perceived risk in Coupang. The results imply that Naver shopping need to focus on managing delinquency while Coupang should provide sufficient information on how late fees and credit rating downgrade work and try not to make a deferred payment option stand out. In order to increase adoption rate it is recommendable to narrow down target segment of a deferred payment and expand it to a specialized vertical such as travel.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.36 no.1
• /
• pp.37-48
• /
• 2020

Logistics centers, distribution centers, or warehouse facilities increasingly dominate urban and suburban landscapes, their enormous but blank, repetitive facades completely overshadowing adjacent buildings. Mostly ignored by architects, this new building type symbolically represents the arrival of post-anthropocene, or post-urbicene era of architecture, in which an increasing portion of our built environment will not be intended for human occupancy, but rather for use by machines and artificial intelligence. As a new wave of logistics centers are becoming more automated, and more supersized, it is important to deepen architects' understanding of the organizational logic and programming factors that inform the overall design decisions for these facilities. With a particular focus on three case studies--Coupang, E-Mart, and Amazon Fulfillment Centers, this research examines the current trends in automation and expansion of logistics centers, and offers an analysis and forecast for future facilities in South Korea.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.1
• /
• pp.150-156
• /
• 2023

In a recent study, the phenomena of attention being drawn to the media business, particularly over-the-top (OTT) services, was the focus. Particularly, after the Squid Game was broadcast in September 2021, the total number of Netflix users had topped 213.6 million since the company first entered the domestic market. Domestic companies have also introduced OTT services like 'Wave', 'Tving', and 'Watcha Play' to capitalize on this market trend. However, questions persist about how Korea's native OTT providers, both large and small, are being harmed by Netflix's strong financial position and massive content quantity. In order to offer realistic performance metrics, we analyze Coupang Play among domestic OTT service providers after reviewing the business model and management strategy of representative OTT service firms.

• The Journal of Information Systems
• /
• v.33 no.1
• /
• pp.133-157
• /
• 2024

Purpose The purpose of this study is to identify the utility and sacrifice factors of paid membership in domestic e-commerce based on the value-based acceptance model, and to determine its impact on perceived value and intention to continue using e-commerce. Design/methodology/approach This study confirmed the perceived benefits and sacrifice factors of e-commerce paid membership through in-depth interviews, and verified the research model through an online survey. Findings The study identifies seven perceived benefit factors(differentiation, enjoyment, sharing, point benefit, discount benefit, contents benefit, and delivery benefit) and three perceived sacrifice factors(fee, opportunity loss, complexity). Structural model verification reveals that discount benefit, delivery benefit, and opportunity loss significantly impact the perceived value in Coupang Rocket Wow, while discount benefit, point benefit, and fee significantly influence the perceived value in Naver Plus membership. The perceived value of both memberships positively influences the intention to continue using the respective e-commerce platforms. A comparison highlights a significant difference in the impact of opportunity loss on perceived value between Coupang Rocket Wow and Naver Plus memberships.

• Journal of the Korean Society of Industry Convergence
• /
• v.27 no.2_2
• /
• pp.445-456
• /
• 2024

This study aims to suggest service improvement opportunities by analyzing user review data of the top three OTT service apps(Netflix, Coupang Play, and TVING) on Google Play Store. To achieve this objective, we proposed a framework for uncovering service opportunities through the analysis of negative user reviews from OTT service providers. The framework involves automating the labeling of identified topics and generating service improvement opportunities using topic modeling and prompt engineering, leveraging GPT-4, a generative AI model. Consequently, we pinpointed five dissatisfaction topics for Netflix and TVING, and nine for Coupang Play. Common issues include "video playback errors", "app installation and update errors", "subscription and payment" problems, and concerns regarding "content quality". The commonly identified service enhancement opportunities include "enhancing and diversifying content quality". "optimizing video quality and data usage", "ensuring compatibility with external devices", and "streamlining payment and cancellation processes". In contrast to prior research, this study introduces a novel research framework leveraging generative AI to label topics and propose improvement strategies based on the derived topics. This is noteworthy as it identifies actionable service opportunities aimed at enhancing service competitiveness and satisfaction, instead of merely outlining topics.

• Asia pacific journal of information systems
• /
• v.29 no.2
• /
• pp.165-180
• /
• 2019

As game industry prospers, the negative side of games becomes highlighted as well as its contributions to economy growth. In spite of strong arguments for the necessity to regulations as a means to decrease addiction or overindulgence, research has produced future suggestions rather than quantifiable evidence. In this paper, we propose adopting a simulation approach in addition to quantitative approaches to better understand optimal regulatory levels since a simulation approach can visualize unexpected side effects of regulations. In this study, we suggest the application of an agent-based model (ABM) as a smart service to measure the effects of regulatory policies. We review cases applying ABM in various domains and consider the possibility of using an ABM to understand the effectiveness of web board-game regulations. We find that the ABM approach would be useful in several areas, such as the analysis of regulatory effects that reflect a variety of characteristics, the measurement of micro-regulatory effects, and the simulation of regulations.

• Culinary science and hospitality research
• /
• v.22 no.4
• /
• pp.114-127
• /
• 2016

The study, focused on social commerce food service consumers, attempted to test the relationship between perceived risk and price consciousness, and suggested that perceived risk and price consciousness, the the degree to which price is considered when purchasing goods, affect reuse intention. Through such test results, the study aimed to provide useful practical implications for establishing marketing strategies of companies related to food service social commerce, and those looking into behavioral intentions of social commerce using food service consumers. The subjects of the study were male and female residents of Korea over 2-years of age who have had some experience purchasing a dining out item through social commerce. The social commerce company selected for sampling was Coupang, which was the number 1 shopping App in 2014 based on the number of yearly visitors. A questionnaire-based survey was conducted on respondents who had indicated that they had experience purchasing foodservice goods through Coupang. The results revealed that source risk, privacy risk, psychological risk, and time-loss risk had negative influences on reuse intention. However, social risk and financial risk did not exhibit any influences. Price consciousness had positive influences on reuse intention. The study explored perceived risk and price consciousness as elements to affect continuous use of social commerce of foodservice consumers.

• Journal of Digital Convergence
• /
• v.20 no.2
• /
• pp.241-250
• /
• 2022

Due to the COVID-19 pandemic, with increased 'untact' services and with unstable household economy, the bike insurance fraud is expected to surge. Moreover, the fraud methodology gets complicated. However, the fraud detection model for bike insurance is absent. we deal with the issue of skewed class distribution and reflect the criterion of fraud detection expert. We utilize a balanced random-forest algorithm to develop an efficient bike insurance fraud detection model. As a result, while the predictive performance of balanced random-forest model is superior than it of non-balanced model. There is no significant difference between the variables used by the experts and the confirmatory models. The important variables to detect frauds are turned out to be age and gender of driver, correspondence between insured and driver, the amount of self-repairing claim, and the amount of bodily injury liability.