• The Journal of Information Systems
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• v.25 no.4
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• pp.63-85
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• 2016

Purpose While the popularity of C2C auction platforms such as eBay is gradually decreased, this domain is still undermined to explain online bidding behaviors. Online bidders sometimes engage in impulsive bidding due to some of the online auction characteristics. Therefore, this study develops and tests a model of the impulsive bidding exhibited by online bidders in C2C auction platforms. Based on S-O-R framework, our model posits that both perceived time-pressure and competition intensity affect cognitive absorption which ultimately influences the impulsive bidding. Design/methodology/approach This study collected survey data from 214 C2C auction participants, who have prior experience on impulsive bidding and tested both measurement model and structural model by using CB-SEM (covariate-based structural equation modelling) technique. In this study, by using AMOS 20.0, we tested the measurement model for its overall fit, item reliability, and validity and further conducted the structural model to test our proposed hypotheses. Findings Based on our results, we found that perceived tim-pressure and competition intensity were positively related to cognitive absorption. We also found that the cognitive absorption was positively associated with impulsive bidding behavior. In this study, by developing our research model in S-O-R framework, we provide an alternative theoretical mechanism to describe online impulsive bidding behavior.

• Information Systems Review
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• v.9 no.3
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• pp.83-98
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• 2007

This study focused on online game security, which has been considered relatively insignificant when compared to the online game industry's rapid growth. In this study, the state of security incidents in the Korean game industry and security solutions for such cases were examined. At first the security incidents were classified according to the type of game security infringement. Based upon this classification, this study analyzed the causes that give rise to infringement of online game security, and developed technical solutions for such cases. Finally, this study verified whether or not these technical solutions could be applied to online game sites.

• Journal of Arbitration Studies
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• v.25 no.1
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• pp.3-23
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• 2015

As the Internet rapidly emerges as a speedy and cost-effective way of purchasing goods from overseas websites, the number of disputes arising out of overseas direct purchases also increases. In such situations, a disgruntled consumer might be left without an effective remedy. Providing an alternative approach to redress such grievances might assist in resolving such disputes and in increasing consumer confidence in e-commerce. Online Dispute Resolution (ODR) will allow consumers to solve their disputes without going to court, in a quick, low-cost, and simple way. It also helps to eliminate complex jurisdictional and choice-of-law problems. On the other hand, it has many problems such as having inadequate confidentiality and security, not being able to meet the "writing" requirement for arbitration of disputes, having difficulty in enforcing online arbitration agreements, having difficulties in enforcing online decisions and so on. This article investigates relationship online disputes and ODR and suggests ways that ODR can work best in resolving disputes arising out of overseas direct purchases. To expand the ODR system in online disputes, it is very important for domestic consumers to recognize the concept and usefulness of the Alternative Dispute Resolution (ADR) and ODR systems. The Korean government must also help consumers recognize the ADR mechanisms of dispute resolution by public campaign advertisement of ADR systems. Further education of dispute resolution in higher educational institutions is also required as well as assisting the KCAB with funds and the establishment of ADR Law.

• 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.

• Asia pacific journal of information systems
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• v.26 no.2
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• pp.247-262
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• 2016

Almost all Koreans recognize the Dolhareubang as a representative symbol of Jeju. However, as the development of online technology progressed, the image and perception of the Dolhareubang is also expected to change. Thus, this study explored the perceived images of Dolhareubang by focusing on residents in Seoul, Korea using Q methodology. The goal of this research was to evaluate this iconic representation of Jeju as an important component of the island's online tourism destination image. The Q-set was developed from existing literature and defined conceptually in terms of 'value', 'resource', 'story', and 'image'. Thirty five respondents were recruited as P set. Findings indicated four distinctive clusters that perceived the Dolhareubang differently and differences in perceptions were observed in terms of age. The examination of destination image and the exploration of the perceptions of Dolharuebang as a representative of Jeju could contribute to online destination image management or development, which is a crucial component of smart tourism.

• Management & Information Systems Review
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• v.27
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• pp.1-30
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• 2008

The objective of this paper is to gain a better understanding of factors influencing digital piracy and the use of paid services on the web. A model identifying and describing various factors which affect decision$\sim$makers' attitude toward sharing digital products and online behavioral intentions is constructed based on established theories of human behavior. The relationship between the continuous intention of sharing the products and the intention to use online services is also discussed. Findings show that a independent relationship exists between illegal and legal behaviors, which means stopping piracy by individuals can not lead to their buying of the products. Also while the attitude toward piracy was significantly related to the continuous intention of piracy behaviors, did not necessarily lead to the use intention of online services. The data also show that beliefs concerning consequences of digital piracy were significant enough to alter one's behavioral attitude. There was a significant relationship between perceived consequences and the intention to pirate digital products or to use paid services. The results also show that while the effect of economical and ethical factors were ascertained, that of social and legal factors have not been found. Self$\sim$efficacy has a moderating effect on the relationship between the attitude toward piracy and both intentions of online behavior. The implications of the findings to research and practice are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2491-2508
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• 2019

This research investigates the media consumers' behavior with behavioral economics perspective, especially regarding TV content viewers' behavior; how do online communications influence TV viewers' decision when choosing a new TV content among options. We focus on quantity and attribute of comments or reactions on the online news articles. We analyze that online communications data, which were generated before the first broadcast, affect the TV content consumers' choice for a new TV series. Here we identify a predicted utility, experienced utility and distinction bias in TV media consumption to find the effectiveness of the first viewing choice on whole TV series' episodes. To avoid the crucial influence by exogenous factors, such as season and social issue, the test was done with specific conditions. This research found that the total number of reactions to the comments by itself positively affects the audiences' decision-making behavior for a new TV content choice. This influence was regardless of favor/ non-flavor reactions. This study contributes to the literature on media economics and management by exploring the media content users' consuming behavior and making a first step for finding an important influencer on the media content consumption.

• The Journal of Information Systems
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• v.32 no.3
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• pp.133-150
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• 2023

Purpose This study aims to develop classification models using a decision tree algorithm to identify core keywords and rules influencing online consumer review evaluations for the robot vacuum cleaner on Amazon.com. The difference from previous studies is that we analyze core keywords that affect the evaluation results by dividing the subjects that evaluate online consumer reviews into self-evaluation (star ratings) and peer evaluation (helpfulness votes). We investigate whether the core keywords influencing star ratings and helpfulness votes vary across different products and whether there is a similarity in the core keywords related to star ratings or helpfulness votes across all products. Design/methodology/approach We used random under-sampling to balance the dataset. We progressively removed independent variables based on decreasing importance through backwards elimination to evaluate the classification model's performance. As a result, we identified classification models that best predict star ratings and helpfulness votes for each product's online consumer reviews. Findings We have identified that the core keywords influencing self-evaluation and peer evaluation vary across different products, and even for the same model or features, the core keywords are not consistent. Therefore, companies' producers and marketing managers need to analyze the core keywords of each product to highlight the advantages and prepare customized strategies that compensate for the shortcomings.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.308-327
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• 2020

The importance of information security is increasing, and various efforts are being made to improve users' information security behaviors. Among these various efforts, information security education is mainly aimed at providing users with information security knowledge and improving information security awareness. This study classified the types of information security education into offline and online to examine the effects of each education method on attitudes toward information security (perceived severity, vulnerability, self-efficacy and response-efficacy) and information security behaviors. A survey was conducted for users with information security education experiences. The results obtained by comparing the differences in the path coefficients of personal information security behaviors according to information security education experiences showed that security behaviors were more significant in the online experience group than the offline group. In addition, gender differences were analyzed, and it was found that females had a greater impact on information security attitudes than males. This study also found that among Internet users with online information security education experience, females tend to have more information security behavior than males, but there were contrasting results among users with offline information security education experiences. The results of this study finally address the necessity of reflecting users' personalities in the systematic design of information security education in the future. Furthermore, the results of this study support the need for an appropriate education system that sufficiently understands education types to maximize the effects of information security education.

• Asia pacific journal of information systems
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• v.30 no.3
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• pp.513-531
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• 2020

Online Word-of-Mouth communication, or eWOM, has dramatically changed the way people network, interact, and share knowledge. Studies have examined why consumers choose to share knowledge online, especially online product reviews, as well as the motivations of individuals to share product ideas online. However, the role of gender in shaping the motivation and types of knowledge shared online has been given little consideration. Using concepts from Social Exchange Theory and the Theory of Reasoned Action, we address this research gap by developing and testing a model of gender's influence on knowledge sharing in a social media context. A PLS analysis of survey data from 257 students indicates that reputation, altruism, and subjective norms are key motivators for knowledge sharing intention in social media. More importantly, that gender plays a moderating role within the motivation-knowledge sharing relationship. We also find that subjective norms have a greater impact on knowledge sharing with women than with men. Collectively, our research results highlight individualized factors for improving customer participation in external facing social media for marketing and product innovation.