• Journal of Information Technology Applications and Management
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• 제22권4호
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• pp.39-57
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• 2015

Online marketplace represents the triad relationship among the consumer, the intermediary, and the seller community. However there have been a limited number of studies conducted with the view of the triad relationship, which have produced contradictory and mixed results. The purpose of this study is (1) to find trust factors affecting consumers' transaction intention-trust in intermediary and trust in community of sellers, and (2) to investigate the directionality of trust transfer between those factors. To do this, the study sets and tests a bidirectional model. Based on the study results, the study discusses that both trust in intermediary and trust in community of sellers are important to consumers' transaction decision in online marketplace, and trust transfer in online marketplace flows from intermediary to community of sellers.

• 통상정보연구
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• 제9권1호
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• pp.3-21
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• 2007

The explosive growth of e-marketplace transactions requires an appropriate trust measuring framework to protect involving transacting entities such as buyers and sellers. As a strategic competitive edge, e-marketplace service providers have been adopting various system features that make sure no one transacting entity takes a major risk in online transactions involved. In this paper, an improved trust measuring method using fuzzy theory for an e-marketplace is proposed. The proposed methodology incorporates fuzzy set and calculation concepts to help build trust matrices and models, which are used to measure the level of risk involved in a specific e-marketplace transaction concerned. The proposed framework can be utilized to optimize the transaction costs by recommending a differentiated transaction process according to the risk level involved in each online transaction.

• 한국경영과학회지
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• 제34권1호
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• pp.85-100
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• 2009

An online marketplace, such as eBay, is an example of two-sided markets. In online marketplaces, there are transactions between sellers and buyers and direct competition effects among sellers and among buyers. Previous research on two-sided market has not handle these competition effects and mostly focused on indirect network externalities between sellers and buyers. We analyze the fee structure of an online marketplace considering direct competition effects among sellers and among buyers. We find that when fees for sellers and buyers can be imposed, an auction or fixed-pricing rule can be chosen according to the characteristics of a product traded. But when only fees for sellers can be imposed, an auction can be taken as a trading mechanism solely.

• 유통과학연구
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• 제17권5호
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• pp.85-94
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• 2019

Purpose - The purpose of this study is to analyze the impact of customer's communication on sales performance in the online market. Research design, data, and methodology - This study uses linear regression analysis to examine the effects of product review characteristics which are the result of customer's communication, on sales performance by using product reviews of online marketplace Amazon. Result - The increase in the number of product reviews positively affected sales performance. An increase in extreme opinions in the product review has a positive effect on sales performance. The product review length has a negative effect on sales performance. Conclusions - This study has shown the online marketplace customers' communication can influence sales performance using product review big data. This study contributed to the theoretical completeness by analyzing all the products of the book category in Amazon online market. This research will complement the theories regard to the customer behavior affecting sales performance. We expect the empirical analysis result will provide empirical help to sellers, online marketplace operators, and customers. In particular, the number of letters in the product may negatively affect sales performance, so sellers need to consider this effect carefully when exposing product reviews.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2005년도 종합학술대회
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• pp.17-28
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• 2005

전자상거래의 발전과 온라인 마일리지, 포털머니, 게임머니 등 비즈니스모델의 다변화로 사이버머니 시장이 발전하였다. 그 규모는 지속적으로 성장하여 이에 관련된 시장의 분류, 현황 및 문제점 , 이슈에 대한 연구의 필요성이 높아지고 있는 시점이다. 따라서 본 연구에서는 사이버머니에 관련된 기존문헌 분석을 통하여 탐색적 연구를 시행하였다. 이를 통해 사이버머니의 범위를 설정하고 사이버머니 분류지표를 제시하며 사이버머니의 발전에 대한 이슈와 사이버머니 시장현황에 대한 현황을 살펴본다.

• 유통과학연구
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• 제21권9호
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• pp.1-11
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• 2023

Purpose: This study focuses on developing a structural equation model of variables influencing loyalty to buying and selling food products through e-marketplaces in Thailand. The variables investigated comprised food attributes, online system attributes, marketing innovations, attitudes, and satisfaction. Research design, data and methodology: An online questionnaire was used to collect data from a sample group (200 buyers and 200 sellers) using quota sampling. The data were analyzed using the structural equation model. Results: The developed structural equation model was consistent with the empirical data. Factors in the model could explain 40.1% of the variance in loyalty to buying and selling food products through e-marketplaces. Food attributes and online system attributes influenced satisfaction directly. Online system attributes, market innovation, and attitudes directly influenced loyalty. The developed model had no variation between groups of buyers and sellers. Conclusions: This research demonstrated the causal factors leading to consumer loyalty to buying and selling food products through e-marketplaces. The research findings help e-marketplace providers manage factors of buying and selling to comply with the needs of buyers and sellers, which will increase the number of buyers and sellers, help generate long-term profits for service providers, and increase the country's financial value.

• 유통과학연구
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• 제22권1호
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• pp.13-23
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• 2024

Purpose: Within the ever-changing realm of modern e-commerce, this study delves into the complex effects of factors like performance expectations, ease of use, social influence, favorable conditions, and enjoyment perception on users' intentions and usage patterns in online marketplace apps. The research centres on Tokopedia app users in Denpasar City, encompassing a wide and varied demographic. Methods: Utilizing a non-probability sampling method, 200 participants were selected for extensive data collection through surveys. Subsequent rigorous analysis of the gathered data was performed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) techniques. Results: This study aims to contribute substantially to theoretical and practical knowledge regarding marketplace app usage. Theoretical contributions involve enhancing the marketing domain, especially in digital marketing, by revealing the intricate factors influencing user conduct in online marketplaces. From a practical standpoint, this research provides valuable insights for entrepreneurs aspiring to join or improve their positions in the Tokopedia app market. Conclusion: Based on the study, we suggest optimising online shopping apps for a more appealing and user-friendly interface. Enhancing the enjoyment and simplicity of finding desired products can prompt heightened usage of online shopping services, thereby reinforcing distribution management strategies and overall market presence.

• 경영과정보연구
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• 제13권
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• pp.163-188
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• 2003

Lack of trust is major reason for many company to take a cautions stance towards business-to-business electronic commerce. Especially innovative business models such as online business-to-business marketplaces face the lack of not only having to give their members and partners faith own capabilities and reliability, but also to ensure that the respective parties interacting through them have trust in each other. This paper is empirical study on the trust factors affecting the repurchase intentions in a B2B e-Marketplace by survey instrument based on Likert-style 5 point measurement scale. The objective of this paper is evaluation of relationship between repurchase intentions and trust. The focus of this paper is the antecedents and consequences of buyer trust in a B2B e-Marketplace, not trust intermediaries or in third parties that might mediate between the buyer and e-Marketplace. The findings of this study are expected to increase the awareness of B2B e-Commerce adopter and implementers about the importance of trust in e-commerce participation.

• 경영정보학연구
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• 제6권1호
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• pp.141-153
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• 2004

건설업 특성상 공사비용의 약 $40{\sim}60%$가 자재의 구매 및 조달에 투자되는 만큼 B2B e-Marketplace를 통한 건설자재 구매는 최적의 비용과 기존 Off-line에서 낭비된 시간과 절차를 단축 할 수 있다는 점에서 건설기업의 큰 관심을 끌고 있다. 건설 B2B e-Marketplace는 중소 건자재 제조회사 및 중소 건설기업 모두에게 비즈니스 범위를 넓혀 줌으로써 대기업 위주의 건설시장에 활력을 일으킬 수 있다. 그러나 현재 국내의 어떤 산업을 막론하고 B2B e-Marketplace는 기대 이하의 저조한 시장 참여로 심각한 수준에 이르고 있다. 건설업에서도 초기에 보였던 건자재 분야 B2Be-Marketplace의 낙관적 전망은 특정 대기업을 제외하고는 실질적인 이익이나 운영 실적면에서 뚜렷하게 성과를 나타나지 못하고 있다. 본 연구는 건설 B2B e-Marketplace의 운영 현황을 사례조사를 통해 파악한다.

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.573-581
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• 2021

This paper examines the effect of e-service quality on the users of the Facebook marketplace. Users can always have stickiness intention. Stickiness intention is regarded as repetitive visits to and use of a certain website because of a commitment to continue using that website. Hence, we examine and explain the influence of e-service quality variables on stickiness intention. The variables used for e-service quality include efficiency, fulfillment, system availability, and privacy. The researchers related stickiness intention variable to online media users who always use the Facebook marketplace longer than other marketplaces, and users who visit the Facebook marketplace more often than other marketplaces. The method of data analysis was using inferential statistics GeSCA method. The GeSCA method is a Structural Equation Modeling (SEM) technique that can directly analyze latent variables, indicators, and measurement errors. The results of the GeSCA method before the COVID-19 pandemic states that an increase in e-service quality by 77.5% will increase stickiness intention by 61.2%. The results of the GeSCA method after the COVID-19 pandemic states that an increase in e-service quality by 85.2% would increase stickiness intention by 81.1%. This indicates that Facebook marketplace users had more stickiness intention for the Facebook marketplace.