• Journal of Fashion Business
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• v.14 no.2
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• pp.81-94
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• 2010

The online shopping environment has radically changed consumer shopping behavior. Without the actual physical shopping experience in a brick-and-mortar store, consumers make purchasing decisions over the Internet. They make an effort to obtain product information not only from online merchants, but also from previous purchasers in order to make an informed decision. Accordingly, customer comments are expected to have a significant impact on decisions to purchase goods and services online. This paper focuses on one type of electronic word-of-mouth, the online consumer review. It derives several motivations why customers post product reviews on shopping mall sites. Customer motives were identified through an in depth one-on-one interview with twenty female respondents conducted twice from June $17^{th}$ to September $11^{th}$, 2009. The interviews lasted between 40 and 60 minutes. The results showed that consumers write product reviews based on six motivations: to receive a reward or remuneration for writing a product review, to share information with other customers, to improve the quality of goods and services, to reduce customer dissatisfaction, to recommend products and services, and to derive pleasure.

• Journal of Information Technology Services
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• v.12 no.1
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• pp.201-213
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• 2013

The use of online shopping mall has been increasing rapidly, which reflects the convenience and economic benefits associated with its usage. As with traditional offline businesses, internet businesses have to manage customer relations to provide better services in order to ensure their business sustainability. In this regard, identifying the influencing factors to reuse intention of online shopping mall is very important. In this paper, we aim to examine the effects of perceived and individual variables on intention to reuse in the context of online shopping mall. In order to analyze the antecedents, we selected perceived and individual factors such as shopping enjoyment, concentration, perceived variety and maximizing tendency. For empirical analysis, we surveyed real users of online shopping mall. As a result, all antecedents showed significant influence on intention to reuse except perceived variety and among the variables the concentration has top standardized coefficient. In addition, perceived variety has significant effect on shopping enjoyment but not on concentration. Maximizing tendency is related to shopping enjoyment and concentration significantly. The results of this research can be useful guidelines for online shopping mall providers.

• Journal of Family Resource Management and Policy Review
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• v.10 no.3
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• pp.23-43
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• 2006

The purpose of this study is to identify the types of consumer problems involving the use of online game services in Korea. This study analyzed the consumer damage cases by age and type that were reported to the Korea Consumer Protection Board (KCPB). The results of this study are as follows: The online game complaints varied by age. In the case of children, most complaints involved phone charging online game fees without parents' consent. There were similarities in the victimization of teens and children according to reason for complaint, handling result and type of damage. However, based on method of charging, mobile phone and credit card payments were causes in the case of teen victimization. Meanwhile, complaints among adults showed more complexity than the previous two groups such as cases relating to online game companies illegally seizing game items and game accounts, and charging fees for unused services caused by identity theft. By type of charging method, most complaints involved phone and mobile phone payments. According to the analysis result of online game victims, the monetary damage of consumers did not differ among socio-demographic variables such as age, residence, gender and occupation but there was difference in the method of charging. In the handling period, differences could be seen by age, year, gender and type of damage.

• Journal of Information Processing Systems
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• v.16 no.2
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• pp.377-393
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• 2020

Freight management systems require a new business model for rapid decision making to improve their business processes by dynamically analyzing the previous experience data. Moreover, the amount of data generated by daily business activities to be analyzed for making better decisions is enormous. Online-to-offline or offline-to-online (O2O) is an electronic commerce (e-commerce) model used to combine the online and physical services. Data analysis is usually performed offline. In the present paper, to extend its benefits to online and to efficiently apply the big data analysis to the freight management system, we suggested a system architecture based on O2O services. We analyzed and extracted the useful knowledge from the real-time freight data for the period 2014-2017 aiming at further business development. The proposed system was deemed useful for truck management companies as it allowed dynamically obtaining the big data analysis results based on O2O services, which were used to optimize logistic freight, improve customer services, predict customer expectation, reduce costs and overhead by improving profit margins, and perform load balancing.

• Asian Journal of Business Environment
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• v.12 no.4
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• pp.13-24
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• 2022

Purpose: Motivated by an expedited growth and distribution of Online Food-Delivery (OFD) services, especially during the recent Covid-19 pandemic, this research aims to explore 1) how consumers' sustainability considerations are associated with satisfaction with the services via opt-out cutlery options and 2) the role of the pandemic in the relationships between sustainability considerations, attitudes toward opt-out cutlery options, and satisfaction with the OFD services. Data and Methodology: An analysis of survey data using 434 consumers in the United States recruited from Amazon M-Turk was conducted using structural equation modeling. Results: Findings suggest that consumers' environmental, health, and ethical considerations are positively related to their attitudes toward opt-out cutlery options. Furthermore, attitudes toward opt-out cutlery options are positively related to satisfaction with the OFD services only when they feel connected with the environment, driven by perceived threats of an infectious disease (i.e. Covid-19). Conclusion: The study findings provide new insights to managers in the OFD service industry on how to promote sustainable consumption during the pandemic.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.183-200
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• 2014

Online brand communities have become a major component of marketing strategy given that these communities encourage participation and share the culture of Web 2.0 core concepts to Internet users. This study investigated the effects of social capital and knowledge quality on the success of online brand communities. A research model suggests that trust among members and the identification derived from social capital theory and knowledge quality influence individual community participation; knowledge quality also influences brand trust. In turn, community participation and brand trust develop brand loyalty. The model was empirically analyzed using structural equation modeling with data from online brand community members in Korea. The results indicate that identification and knowledge quality significantly affects brand trust and brand loyalty through community participation. This study provides a basis for developing a success model for online brand communities. Also, this study identifies a new role of knowledge quality in an online brand community context.

• Journal of Information Technology Services
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• v.20 no.3
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• pp.57-73
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• 2021

Recently, online job websites have been activated as unemployment problems have emerged as social problems and demand for job openings has increased. However, while the online job platform market is growing, users have difficulty choosing their jobs. When users apply for a job on online job websites, they check various information such as job contents and recruitment conditions to understand the details of the job. When users choose a job, they focus on various details related to the job rather than simply viewing and supporting the job title. However, existing online job websites usually recommend jobs using only quantitative preference information such as ratings. However, if recommendation services are provided using only quantitative information, the recommendation performance is constantly deteriorating. Therefore, job recommendation services should provide personalized services using various information about the job. This study proposes a recommended methodology that improves recommendation performance by elaborating on qualitative preference information, such as details about the job. To this end, this study performs a topic modeling analysis on the job content of the user profile. Also, we apply LDA techniques to explore topics from job content and extract qualitative preferences. Experiments show that the proposed recommendation methodology has better recommendation performance compared to the traditional recommendation methodology.

• Fashion & Textile Research Journal
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• v.21 no.2
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• pp.141-150
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• 2019

Online recommendation services help people search for an appropriate product among a huge assortment in stores that also minimize consumers' choice overload. People with a need for uniqueness are likely to prefer this online recommendation service based on individual needs and tastes. This study verifies the effect of consumers' choice overload and similarity avoidance in consumers' evaluation towards an online recommendation service with a focus on innovativeness and use comparability. Two-hundred consumers participated in this study and data were collected through an online survey firm. A mock retailer's webpage was created and showed six types of sneakers, which was presented as a result of product recommendation based on consumers' personal information. Data was analyzed using confirmatory factor analysis (CFA), analysis of variance (ANOVA), and regression analysis. The results show that people with a high similarity avoidance perceive an online recommendation service as an innovative and compatible service. They also perceive a high level of use compatibility for an online recommendation service, especially when it is difficult to choose a product under choice overload. Innovativeness and use compatibility of an online recommendation service increase behavioral intention. The results of this study can contribute to strategies to start online recommendation services from online retailers' websites that identify circumstances in which consumers can adopt innovative services in a positive manner.

• Journal of Information Technology Services
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• v.19 no.5
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• pp.107-124
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• 2020

Due to spread of covid-19, which began in December 2019, the usage of online distance learning has expanded within colleges. However, because of the lack of readiness for running online distance learning, professors and students had to experience a lot of inconvenience. In the near future, the usage of online distance learnig is expected to more expand, thus, it seems that there should be a strategies for sustainable online learning operations. This study aims to investigate which factors have impact on the continuance intention to usage of online distance learning of airline department students, focused on Post-Acceptance Model. For the empirical analysis, this study utilized a structural equation model after collecting 136 survey data. The results is as follow; First, user interface has positive impact on confirmation and confirmation has positive impact on satisfaction of online distance learning. Seconds, confirmation has positive impact on perceived usefulness, flow and social presence. Third, social presence has positive impact on satisfaction of online distance learning, but perceived usefulness and flow didn't have statistically meaningful impact on satisfaction. Finally, statisfaction of online distance learning has huge positive impact on continuance intention to usage. It is expected that the implications of this study enable colleges effectively to run online distance learning in preparation for the post-covid 19 era.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1005-1015
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• 2021

We investigate the impact of marital status on the levels of satisfaction of online shoppers in the beauty and cosmetics industry in Vietnam. We find a significant difference in satisfaction between married and divorced/separated online shoppers. More specifically, the latter reveals higher level of satisfaction than the former. Extended analyses further show that this finding is only observed for female online shoppers whilst it is insignificant for their male counterparts. Moreover, we find significant differences in determinants of customer satisfaction between three different groups of online shoppers: single, married, and divorced/separated. While married individuals' satisfaction is affected by all factors (Online shopping experience; Seller Services; External Incentives; Security/Privacy), that of their divorced/separated peers are influenced by only seller services and external incentives. Also, single participants are satisfied with their online shopping driven by their online shopping experience and external incentives. Our findings contribute to the stream of customer satisfaction literature, and to the studies in beauty and cosmetics sector as well as online shopping trends in Vietnam. They contain implications for existing online businesses and new or potential market entrants as to which customer demographic factors have significant influences in terms of customer psychology, behaviour and their satisfaction.