• 융합경영연구
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• 제9권2호
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• pp.33-43
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• 2021

Purpose: This study aims to verify sellers' economic incentives for voluntarily disclosing negative information in online markets and provide practical guidelines to online sellers in terms of whether, when, and how sharing low quality to buyers increase sales. Research design, data and methodology: Our model examines the number of bidders in Internet auctions to measure potential demand and uses count data analysis following previous studies that have also analyzed the number of bidders in auctions. After checking over-dispersion and zero-inflation in our data, we have run a Poisson regression to analyze the effect of sharing negative information on sales. Results: This study presents a counterintuitive result that low-quality sellers can increase their demand by fully disclosing negative information in an online market, if appropriate risk-reducing methods are employed. Our finding thus shows that there exists economic incentive for online sellers to voluntarily disclose negative information about their products, and that the context of transactions may affect this incentive structure as the incentive varies across product categories. Conclusions: As the positive impact of disclosing negative information has rarely been studied so far, this paper contributes to the literature by providing a unique empirical analysis on the impact of sellers' honesty on sales. By verifying economic incentives of disclosing low quality with actual online sales data, this study suggests practical implications on information disclosure strategy to many online sellers dealing with negative information.

• 한국IT서비스학회지
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• 제17권2호
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• pp.165-177
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• 2018

Recently, online commerces are becoming more common due to factors such as mobile technology development and smart device dissemination, and online review has a big influence on potential buyer's purchase decision. This study presents a set of analytical methodologies for understanding the meaning of customer reviews of products in online transaction. Using techniques currently developed in deep learning are implemented Hierarchical Attention Network for analyze meaning in online reviews. By using these techniques, we could solve time consuming pre-data analysis time problem and multiple topic problems. To this end, this study analyzes customer reviews of laptops sold in domestic online shopping malls. Our result successfully demonstrates over 90% classification accuracy. Therefore, this study classified the unstructured text data in the semantic analysis and confirmed the practical application possibility of the review analysis process.

• 한국정보시스템학회:학술대회논문집
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• 한국정보시스템학회 2004년도 춘계학술대회
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• pp.316-335
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• 2004

This paper builds a system dynamics model analyzing first mover effect and growth strategy of online retailer, a major segment of B2C e-commerce. The dynamic model in this paper is calibrated to the online book market and Yes24.com as major test cases. The model consists of eight key value chain sectors. Five of these(Users, Site Operations, Human Resources, Financial Accounting, and Fundraising) are internal to the company, and three others(Market, Financial Market, and Relative Performance) are external to the company. With the model, this paper suggests research propositions representing positive feedback loops and negative feedback loops that lead to corporate growth and limits to growth according to dynamic causal relationships among eight key value chain sectors, and simulate these propositions.

• 대한산업공학회지
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• 제28권4호
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• pp.379-389
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• 2002

In this paper, we study the competition between two kinds of suppliers, a bricks and mortars(B&M) and a clicks and mortars(C&M). Using the circular spatial market model, we derive and analyze the Nash and Stackelberg equilibria as a function of offline market share and efficiency of online channel of the C&M supplier. The result can be summarized as follows: (1) Stackelberg equilibrium is always superior to the Nash equilibrium, (2) Under certain conditions, the price of online channel can be higher than that of offline channel, (3) It is impossible for the C&M supplier to encroach on all of the B&M supplier's market, (4) In some cases, the C&M supplier has incentive to lower the efficiency of its online channel for more profit.

• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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• pp.221-242
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• 2020

Purpose This study collects data of the recently activated online black market and analyzes it to present a specific method for preparing for a hacking attack. This study aims to make safe from the cyber attacks, including hacking, from the perspective of individuals and businesses by closely analyzing hacking methods and tools in a situation where they are easily shared. Design/methodology/approach To prepare for the hacking attack through the online black market, this study uses the routine activity theory to identify the opportunity factors of the hacking attack. Based on this, text mining and social network techniques are applied to reveal the most dangerous areas of security. It finds out suitable targets in routine activity theory through text mining techniques and motivated offenders through social network analysis. Lastly, the absence of guardians and the parts required by guardians are extracted using both analysis techniques simultaneously. Findings As a result of text mining, there was a large supply of hacking gift cards, and the demand to attack sites such as Amazon and Netflix was very high. In addition, interest in accounts and combos was in high demand and supply. As a result of social network analysis, users who actively share hacking information and tools can be identified. When these two analyzes were synthesized, it was found that specialized managers are required in the areas of proxy, maker and many managers are required for the buyer network, and skilled managers are required for the seller network.

• 인터넷정보학회논문지
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• 제18권4호
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• pp.109-119
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• 2017

본 연구는 온라인검색광고 기반의 사업모델을 가진 대표적인 포털사업자 네이버의 광고관리시스템이 제공하는 데이터를 이용하여 온라인검색광고시장이 양면시장이 아닐 수 있음을 실증분석하고 이를 근거로 한 적절한 동 시장의 시장획정 방안 제시를 목적으로 한다. 이 목적을 위해 두 가지 연구 질문에 대한 검토가 필요하다. 첫째, 온라인검색광고 사업모델과 학문적 의의가 큰 로체-티롤의 양면시장 정의 간에 일관성이 있는가, 둘째, 온라인검색광고시장에 간접네트워크외부효과가 존재하는가이다. 특히 후자의 경우 간접네트워크외부효과가 있다면 어느 정도인지 실증분석을 수행하여야 한다. 이에 대해 본 연구는 구글과 같은 온라인검색광고서비스가 단면시장일 수 있다는 Luchetta의 이론적 주장에 기반을 두고 이를 검증하기 위해 상관 및 회귀분석을 수행하였다. 온라인검색 광고비는 직접네트워크외부효과 독립변수인 광고주가 한 단위 증가할 때 약 50원 이상 증가하였다. 그러나 간접네트워크외부효과 측정을 위해 설정한 독립변수인 검색횟수와 종속변수인 온라인검색광고비 간에는 유의적인 상관 및 회귀결과가 나타나지 않았다. 이 결과에 따르면, 온라인검색광고시장에는 양면시장의 필요조건인 간접네트워크외부효과가 존재하지 않거나 유의적이지 않아 양면시장이라기 보다는 단면시장일 가능성이 높다. 이는 온라인검색광고시장에 전통적인 시장획정 방법을 적용할 수 있고, 본원적인 경쟁요소를 모색하는데 유리하며, 경쟁상황에 대한 설명력이 높아짐을 의미한다. 또한 양면시장에 대한 시각차를 보여 온 경제학자들과 규제실무자를 포함한 법학자들의 간극도 어느 정도 극복할 수 있다는 점에서 의의가 있다.

• 한국정보시스템학회지:정보시스템연구
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• 제33권1호
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• pp.45-68
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• 2024

Purpose This paper examines the role of local market-based communities in driving regional revitalization, using detailed analysis of online networks. We aim to dissect a local community's communication network, highlighting members with high engagement levels and exploring their characteristics. Our goal is to identify the conditions that allow local community networks to grow independently and to demonstrate how the activation of these networks contributes to regional revitalization. Design/methodology/approach We employ a mixed-methods approach, combining social network analysis with statistical techniques to investigate the structure of online communication networks. Specifically, we use ANOVA to determine the statistical significance of our findings, ensuring their reliability. To complement our quantitative data, we include qualitative insights from interviews, adding depth and context to our analysis. Findings Our results show that individuals with high centrality in the online network are crucial for maintaining active local communities. We find that leveraging local resources to create a supportive and adaptable environment is essential for the communities' sustainability and expansion. Importantly, our research draws a direct connection between the vitality of local community networks and the broader process of regional revitalization. We argue that energizing local communities is an effective way to address the risk of regional decline. By integrating quantitative analysis with qualitative feedback, this study contributes to the understanding of local market-based communities as key drivers of regional development. It emphasizes the importance of building vibrant, resourceful community networks to revitalize areas experiencing socio-economic challenges.

• 유통과학연구
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• 제14권7호
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• pp.15-19
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• 2016

Purpose - India is predicted to lead the world in online sales, but the behavioral range of online consumer has not been researched adequately. Moreover, the research on the role of psychological variables like consumer innovativeness in online purchase behavior has not been investigated. This paper aims to unravel the role of 'consumer innovativeness' in predicting online purchase intention. Further, this paper examines the effect of consumer innovativeness on 'online information search' and 'attitude' in online purchase areas. Research design, data, and methodology - This study uses factor analysis to confirm the convergent and discriminant validities from the adopted scales. Regression analysis was employed to test the various hypotheses in this study. Results - This study finds that consumer innovativeness affects positively 'information search', 'attitude' and 'purchase intentions' in online purchase circumstances. Conclusions - Consumer Innovativeness has emerged as a significant factor affecting online purchase intentions. It has also been confronted with an important variable affecting online information search and attitudes for online purchase.

• 한국융합학회논문지
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• 제8권3호
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• pp.215-223
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• 2017

본 연구는 중고차 시장에 있어서 온라인 및 오프라인 거래시 고객의 선호도 차이를 확인해 보는 것을 목적으로 하였다. 이를 위해 컨조인트 기법을 이용하여 중고차 거래시 중요한 영향을 미치는 속성에 대한 조사를 실행하였다. 컨조인트 분석은 개별 제품이나 서비스를 구성하는 여러 속성 중 가치있는 것을 판별하는 데에 적합한 기법이다. 연구결과 오프라인 시장에서의 중고차 거래시에는 제조사, 차종, 가격, 연식, 주행거리의 순으로 중요도가 높았으며, 온라인 시장에서는 제조사, 신뢰, 가격, 웹사이트 구성, 사고 여부의 순으로 중요도가 높게 나타나는 것을 확인하였다. 따라서 중고차 거래시 구매경로에 따라 고객의 선호 속성이 다르게 나타나는 점과 각 구매경로별로 중요한 속성에 대한 관심과 주의가 필요하다는 것을 알 수 있었다. 중고차 시장이 신차 시장 못지 않게 중요한 시장으로 성장하고 있는 현실을 감안할 때 향후 중고차 시장에 대한 이해를 통해 사업구상이나 정책 개발 등으로 이어질 필요가 있을 것이다.

• Journal of Information Technology Applications and Management
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• 제25권4호
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• pp.123-143
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• 2018

The domestic multiplex industry provides consumers with a choice of movies and a variety of contents and entertainment facilities and services. In addition, the number of movie theaters with the significant market potential is also steadily increasing in the competitive multiplex market environment. For the analysis, we conducted research on 300 adolescents who have experienced using domestic multiplex mobile service within the recent year. This study examined the structural relationship among the multi-dimensional mobile service quality of multiple, enjoyment of use, and online word of mouth intention. Also, it explored the mediating effect of enjoyment of use and the moderating effect of gender in the structural model. As a result, the mobile service quality of multiplex has a significant effect on the online word of mouth intention through the enjoyment of use. However, there was no moderating effect of gender of participating adolescents in the relationships. Based on the analysis of empirical results, this study discussed a series of theocratical and practical implications for the marketing strategies of multiplex in the highly competitive market.