• Title/Summary/Keyword: online marketplace

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Trust and Triad Relationships in Online Marketplace (온라인 마켓플레이스에서 신뢰와 3자적 관계)

  • Kim, Gimun
    • Journal of Information Technology Applications and Management
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    • v.22 no.4
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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.

Trust Measuring of e-Marketplace Buyers and Sellers - Design of Fuzzy-based Methodology - (e-마켓플레이스 판매자와 구매자 신뢰도 측정 - 퍼지기반 방법론 설계 -)

  • Yang, Kun-Woo;Cho, Hyuk-Soo
    • International Commerce and Information Review
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    • v.9 no.1
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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.

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Analyzing Fee Structure of Online Marketplaces Based on Competition among Sellers and Competition among Buyers (판매자간 경쟁과 구매자간 경쟁을 고려한 온라인 마켓플레이스의 수수료 구조 분석)

  • Jung, Young-Jo;Jang, Dae-Chul;Ann, Byong-Hun
    • Journal of the Korean Operations Research and Management Science Society
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    • v.34 no.1
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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.

The Effects of Online Product Reviews on Sales Performance: Focusing on Number, Extremity, and Length

  • PARK, Sunju;CHUNG, Seungwha (Andy);LEE, Seungyong
    • Journal of Distribution Science
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    • v.17 no.5
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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.

An Exploratory Study on the status and classification of Cyber Money (사이버머니의 현황과 분류에 대한 탐색적 연구)

  • Lim, Gyoo-Gun;Lee, Ho-Sun
    • Proceedings of the CALSEC Conference
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    • 2005.11a
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    • pp.17-28
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    • 2005
  • The cybermoney marketplace has been improved by many changes of a business model, such as the development of online exchange, online mileage, potalmoney and gamemoney and so on. Because of its continuous growth, the need for categorizing manketplaces and researching on cybermoney marketplace status and problems has been increased. Therefore, in this paper, We researched about cybermoney marketplace's status and problems. We suggest the indicator that could classily cybermoney. We examined the status of cybermoney marketplace and identified the issues of development of cybermoney.

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Factors Influencing Loyalty to Buying and Selling Food Products through E-Marketplace in Thailand

  • Seksan WERASUK;Kittipol WISAENG
    • Journal of Distribution Science
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    • v.21 no.9
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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.

Integrating Perceived Enjoyment within the UTAUT Model for Enhanced Distribution Management Strategies

  • Putu Yudi SETIAWAN;Ni Putu Cempaka Dharmadewi ATMAJA;I Gusti Ayu TIRTAYANI
    • Journal of Distribution Science
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    • v.22 no.1
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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.

A Study on the trust factors in B2B e-Marketplace with Technology Acceptance Model (e-Marketplace의 신뢰요인에 대한 연구 -정보기술수용모형(TAM)을 중심으로-)

  • Lee Jong-Man;Kang Tae-Gyung
    • Management & Information Systems Review
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    • v.13
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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.

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A Case Study On the Construction B2B e-Marketplace (건설 B2B e-Marketplace 사례연구)

  • Choi, Jae-Hwa;Lee, Yoon-Ho
    • Information Systems Review
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    • v.6 no.1
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    • pp.141-153
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    • 2004
  • As $40%{\sim}60%$ of the construction project expense is used for the purchase and procurement of construction materials, construction companies are attracted by the promise of online procurement of construction materials through the B2B e-Marketplace. B2B e-Marketplace can save construction companies time and money spent through the off-line procurement. Construction B2B e-Marketplaces can energize the construction market dominated by major construction companies. It will expand the business scope of small and medium construction material suppliers and construction companies. Current B2B e-Marketplaces underperform in all industries due to low participation. Excluding some construction B2B e-Marketplaces led by major construction companies, most construction B2B e-Marketplaces show poor performance in terms of revenue and transaction. Researches are needed in the area of discovering the problems of current construction B2B e-Marketplace and identifying the factors for participating in the construction B2B e-Marketplace. This research conducts a case study to analyze the current status of construction B2B e-Marketplace.

The E-Servqual Effect on the Stickiness Intention of Marketplace During COVID-19 Pandemic: An Empirical Study in Indonesia

  • KUSUMAWATI, Andriani;AUGUSTINAH, Fedianty;ALHABSYI, Taher;SUHARYONO, Suharyono
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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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.