• Journal of Distribution Science
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• v.20 no.1
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• pp.13-26
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• 2022

Purpose: The Covid-19 pandemic has accelerated and triggered changes in online shopping especially in an emerging market. This paper develops a modification of SERVQUAL model to examine the relationship between individual dimensions of e-service quality, online trust and purchase intentions in singular online shopping platform. Research design, data and methodology: Data from an online survey of 385 Lazada's shoppers were used to test the research model. The structural equation modeling technique was performed to test the research model. Results: The analytical results revealed that five dimensions of e-service quality were positively correlated with one another whereas some dimensions were negatively correlated with purchase intentions. The results of this study provide new insight into the literature as well as practical implications for marketers especially in Thai online market. Conclusion: This study develops the instrument dimensions of e-service quality through modifying the SERVQUAL model to examine the e-commerce context and to testify how these individual dimensions are interlinked with one another. It also suggests that responsiveness has two-sided affects that in responses which are too prompt and insistent could make the customer feel uncomfortable and perhaps ending up with no interaction and transaction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.2194-2210
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• 2018

In the era of big data, consumers capture more and more economic surplus yet the seed of distrust also grows with the fast-spreading of social commerce, this paper began with the idea that product types may determine the degree of consumers' distrust even when identical discounts are offered for those products on Chinese social commerce websites. We also attempted to determine if distrust negatively affected consumers' purchase attitudes. 20 representative products that are commonly sold on social commerce websites in China were chosen to examine the relationships among product types, discount rates, distrust levels, and purchase attitudes. Inductive interview was used to collect the data as well as consumers' perceptions of the relationships. Data analysis results suggested that consumers like deep discounts, but their distrust levels increase along with the discount rates, however, the levels of increasing distrust vary according to product types. High, medium, and low discount rate categorizations were made and three propositions were suggested. This paper will contribute to the body of knowledge on online social commerce market and provide valuable implications for e-retailers and general consumers in online social commerce websites in China.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.3
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• pp.17-23
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• 2014

Recently, E-Commerce demands an integrated solution for online and off-line provided to customers on wired / wireless network and various mobile devices. Our E-commerce platform can use anytime, anywhere, for all consumers. And, it can take convenient and secure E-commerce service in mobile environment. So, we will implement a software platform base on the mobile environment that independent of the mobile OS. Particularly, our E-commerce platform is based on 3D GIS information for 3D electronic map. So, all users (customers) have got the more visible convenience. And, by using the e-catalog DB cloud server, off-line store operators can be built the online home-page easily. From now on our E-commerce platform based on 3D GIS can be usable at various E-commerce areas in the ubiquitous environment.

• Journal of Arbitration Studies
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• v.15 no.3
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• pp.3-25
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• 2005

The companies' management strategies of the electronic commerce market are different from those of the traditional market. The main difference between the electronic commerce market and the traditional market is an IT network system which is a companies' management strategies in the electronic commerce market. This study focuses on the examination and analysis of the companies' management strategies which are constituted through influence on the effectiveness of the IT network system in the electronic commerce market and Promoting Arbitration System in The Era of Digital Economy this study is to introduce several alternative policies of the Government and companies to such formated IT network system of the electronic commerce market in the future. It's also suggested that the Korean Commercial Arbitration Board (KCAB) fully cover consideration and arbitration, while KCAB for Electronic Commerce activates its proper role of consulting and ad hoc arbitration by using electronic information. E-commerce sets up the probability that its merchants and customers will not exist in the same legal jurisdictions. The confusing application of laws and wide geographical dispersion of these parties will necessitate a faster and cheaper dispute resolution methodology. Therefore, online ADR may be effective for e-commerce dispute resolution. The examples of online ADR operation are the cyber mediation of Electronic Transaction Dispute Resolution Committee, the cyber mediation of Korean Commercial Arbitration Board, the cyber mediation of Click N Settle, the online ADR of BBB online, and the cyber arbitration of virtual Magistrate. The paper points out the last one as the most desired practice. This study results are how to minimize the disputes and the method of dispute settlement. Therefore, a role of arbitration proposed and emphasized. To protect the dispute in advance, it's suggested to revise rules timely following on technical changes, and emphasized that the dispute has to lead to arbitration settlement not for consuming unnecessary time and finance for enterprises and consumers.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.287-299
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• 2024

Xiaohongshu, a community-centric social media platform, has pioneered a unique e-commerce model known as 'buyer commerce,' leveraging user-generated content (UGC). Distinctively, Xiaohongshu Live Commerce focuses on fostering deep user relationships and providing superior product and information services, crucial for sustained consumer engagement. This study investigates consumer behavior in purchasing health functional foods via Xiaohongshu Live Commerce, aiming to understand the determinants of continuous usage intention. A novel theoretical framework was devised by integrating the Expectation Confirmation Model (ECM) and the Task-Technology Fit (TTF) model. The research model scrutinizes the impact of Xiaohongshu Live Commerce characteristics, such as perceived usefulness and perceived online intimacy, on task-technology fit. Additionally, it examines the moderating role of perceived risk specific to health functional foods and the influence of expectation confirmation on perceived usefulness, online intimacy, and task-technology fit, alongside their effects on satisfaction and continuous usage intention. The findings reveal that expectation confirmation positively influences perceived usefulness, online intimacy, and task-technology fit. Perceived usefulness significantly enhances task-technology fit, while perceived online intimacy and risk do not significantly affect task-technology fit. Moreover, perceived usefulness and intimacy positively impact consumer satisfaction and continuous usage intention, with task-technology fit playing a pivotal role. Perceived risk moderates the relationship between perceived usefulness and task-technology fit. These insights suggest that companies can augment consumer satisfaction and continuous usage intentions by enhancing the perceived usefulness of technology, effectively managing perceived risks, and continually improving user experience

• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.89-97
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• 2022

The e-commerce market faces significant credit risks due to the complexity of the industry and information asymmetries. Therefore, credit risk has started to stymie the growth of e-commerce. However, there is no reliable system for evaluating the creditworthiness of e-commerce companies. Therefore, this paper constructs a credit risk evaluation index system that comprehensively considers the online and offline behavior of online retail enterprises, including 15 indicators that reflect online credit risk and 15 indicators that reflect offline credit risk. This paper establishes an integration method based on a fuzzy integral support vector machine, which takes the factor analysis results of the credit risk evaluation index system of online retail enterprises as the input and the credit risk evaluation results of online retail enterprises as the output. The classification results of each sub-classifier and the importance of each sub-classifier decision to the final decision have been taken into account in this method. Select the sample data of 1500 online retail loan customers from a bank to test the model. The empirical results demonstrate that the proposed method outperforms a single SVM and traditional SVMs aggregation technique via majority voting in terms of classification accuracy, which provides a basis for banks to establish a reliable evaluation system.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.211-221
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• 2013

This study investigated the effect of service quality and using experience on a royalty in a electronic commerce. Expecially, used HTS (Home Trading System of securities companies)as a online service system. HTS (Home Trading System) is a electronic commerce system of securities companies that is a most progressive tool of it. Almost securities companies are offering these typical trading system, because it is a required factor for a competitive position in their compound market. This paper made hypotheses of five cases, and collected some data through survey questionnaire for an analysis of actual proof. For attaining the object of this research, used a structure equation modeling, and found that almost paths of the research model are supported among the service quality, using experience, involvement and royalty. This study could provide academic and managerial implications in a electronic commerce business.

• Journal of Arbitration Studies
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• v.30 no.3
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• pp.95-113
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• 2020

The worldwide diffusion of COVID-19 contributes to electronic commerce all over the world. The proliferation of high volume and small value electronic commerce naturally has combined artificial intelligence with online dispute resolution (ODR). This paper investigates the age effect on Artificial Intelligence acceptability in online dispute resolution and its empirical findings are as follows. First, seven measures out of the nine employed in this case study shows a coherent dynamic pattern over the age spectrum. In other words, the total samples are a heterogenous group rather than a homogeneous one. Second, medium answer occupies a non-negligible portion across answers from nine research questions. It seems to indicate that a considerable portion of Korean respondents are hesitant to make a choice on artificial intelligence at this juncture. Third, all of the respondents agree that the introduction of AI to the dispute resolution could contribute to the hastening of the dispute resolution process. Fourth, most of the respondents agree that artificial intelligence might have the cognitive ability but not the sympathetic or affective ability to handle the electronic commerce disputes.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.267-274
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• 2023

As the Internet has expanded and the continuous expansion of online shopping in China, many rural areas also have sales outlets. Due to the impact of economic conditions, rural locations have inadequate e-commerce logistical infrastructure, the number of outlets is small, and each other is in a decentralized state. For various reasons, the advancement of rural e-commerce logistics lags far behind that in urban areas. As the Internet of Things with big data grow in popularity, we can create and enhance the assurance system for the booming ecommerce in rural areas by building the support system of rural online shopping platform, and strengthening the joint distribution of logistics terminals based on data mining, so as to encourage the quick and healthy growth of rural online shopping.

• Management & Information Systems Review
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• v.35 no.3
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• pp.213-230
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• 2016

In O2O environment(Online-to-Offline), providers attract new customers via web sites and lead them to pay online, then induce them again to offline when receiving products. Thus, online and offline channel is integrated and create synergy for marketing in O2O context. As online and offline channel coexist in O2O, consumers' perceptions for products and services that providers offer cannot help being different compared to an independent channel (i.e., either online or offline). Therefore, this research aims to develop the O2O service quality model(O2O-SQ model). Especially, O2O is the unique environment where offline, online, and mobile commerce are integrated so that the current paper suggests the $1^{st}$ O2O-SQ model by integrating the common factors of offline, online, and mobile service quality model through the previous literature review. Hence, this study conducts FGI(Focus Group Interview) for customers who have experienced in purchasing products in O2O commerce. Among integrated common service quality factors of $1^{st}$ O2O-SQ model, the current paper identifies the specific service quality factors that customers perceive significantly through FGI analysis. Moreover, after extracting the unique O2O-SQ factors with this qualitative analysis and integrating with the $1^{st}$ O2O-SQ model, the paper develops the final O2O-SQ model.