• Asia pacific journal of information systems
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• v.30 no.3
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• pp.547-567
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• 2020

As the complexity of managing online personal information is increasing and data breach incidents frequently occur, online users feel a loss of control over their privacy. Such a situation leads to their cynical attitudes towards privacy protection, called privacy cynicism. This study aims to examine the role of privacy cynicism in online users' privacy behaviors. Data were gathered from a survey that 281 people participated in and were analyzed with covariance-based structural equation modeling. The findings of this study reveal that privacy cynicism has not only a direct influence on disclosure intention but also moderates an effect of privacy concerns on the intention. The analytical results also indicate that there is a nonlinear effect of privacy cynicism on the outcome variable. This study developed the concept of privacy cynicism—a phenomenon that significantly affects online privacy behavior but has been rarely examined. The study is an initial research into the nature and implications of privacy cynicism and furthermore clarified its role by the nonlinear relationship between privacy cynicism and the willingness to disclose personal information.

• Asia pacific journal of information systems
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• v.28 no.4
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• pp.274-289
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• 2018

We examined the effects of socio-demographics and personality traits on online privacy concern. We investigated this relationship in general and across different Internet functions. Using a large, diverse, population-representative sample (N = 5,242), we found that females, educated, and wealthier individuals tend to be concerned with online privacy to a greater extent. Among personality traits, agreeableness and conscientiousness were generally associated with an increased probability of being concerned with online privacy. These results imply that socio-demographics and personality traits provide explanatory insights into online privacy concern.

• The Journal of Information Systems
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• v.17 no.4
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• pp.281-299
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• 2008

An online game is popular topic due to the increased total online game market volume nowadays. Even though many studies on an online game are released, most studies have used survey method that reveal only section of the situation like a snapshot. For this reason, previous studies have a little limitation that does not show dynamically changing issues like a product life cycle and change in customer's satisfaction. Because of this, we researched on an online game with the system dynamic model which can show dynamic simulation to analysis time series data. We chose MMORPG (Massively Multi-play Online Role Playing Game) in sort of an online game because it has many absorbing factors and enthusiastic users. We assumed that the game developer is ready for updated version game and release that periodically and focused on dormant users who used to be enthusiastic about MMORPG and designed simulation model which analyze how to influence of update and CRM strategy on users. The simulation results showed that the update has positive influences to gather new users and hold established users and CRM strategies help to prevent dormant users from transferring to rivals to offer them re-absorbing factors. Through this study, we confirmed importance of update on a online game and suggested the necessity to introduce CRM strategy in an online game market.

• The Journal of Information Systems
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• v.29 no.4
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• pp.171-191
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• 2020

Purpose The study aims to compare the online review writing behavior of users in China and the United States through text mining on online reviews' text content. In particular, existing studies have verified that there are differences in online reviews between different cultures. Therefore, the purpose of this study is to compare the differences between reviews written by Chinese and American tourists by analyzing text contents of online reviews based on cultural theory. Design/methodology/approach This study collected and analyzed online review data for hotels, targeting Chinese and US tourists who visited Korea. Then, we analyzed review data through text mining like sentiment analysis and topic modeling analysis method based on previous research analysis. Findings The results showed that Chinese tourists gave higher ratings and relatively less negative ratings than American tourists. And American tourists have more negative sentiments and emotions in writing online reviews than Chinese tourists. Also, through the analysis results using topic modeling, it was confirmed that Chinese tourists mentioned more topics about the hotel location, room, and price, while American tourists mentioned more topics about hotel service. American tourists also mention more topics about hotels than Chinese tourists, indicating that American tourists tend to provide more information through online reviews.

• The Journal of Information Systems
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• v.13 no.1
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• pp.121-134
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• 2004

As Internet usage widely grows, online content services such as newspaper, magazine, music, game and movie are provided with a fee-based subscription. Many content services providers consider charging a usage fee into its service provisions as one of the Internet business models for increasing revenue. There are customer resistances to adopting the fee-based service provision on the Web. Previous research in information systems (IS)has focused on the analysis of adoption of information technology or systems in the individual ororganization level. No principle research has been carried out on the user adoption behavior of online content services provisions. As users actively access content services on the Web, it needs to explore user adoption behavior in different settings. Many IS researcher have employedquantitative approaches, even though they deal with the process of user behavior regarding the information technology or system. In this study, we attempt to discover how customers adopt the fee-based provision of online content services by employing grounded theory, one of the principal qualitative research methods.

• Asia pacific journal of information systems
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• v.32 no.2
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• pp.307-326
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• 2022

Currently, Mobile-commerce is active around the world, and consumers' online activities have changed significantly from pc-base to mobile-base. Unlike IT advanced countries such as the United States, which experienced PC-based online commerce (hereafter, PC-commerce) before Mobile-commerce, developing countries such as Vietnam have a relatively short history of PC-commerce. Consumers' experience with PC-commerce may affect their acceptance and use of Mobile-commerce. In this study, we tried to see if different online commerce histories differently affect consumers' online purchasing behavior. We selected the United States and Vietnam, with longer PC-commerce experience and shorter one, respectively. Data were collected for the following four groups: 1) the U.S. PC-commerce (n=256), 2) the U.S. Mobile-commerce (n=283), 3) the Vietnamese PC-commerce (n=159), and 4) the Vietnamese Mobile-commerce (n=225). As results, it was first confirmed that different e-commerce histories in developed and developing countries make the online shopping process different. Second, navigability has a huge impact on consumers' decision support satisfaction in Vietnam where PC-commerce history is shorter. Third, we identified that pre-purchase phase is more related with decision support satisfaction and that purchase phase is more related with task support satisfaction.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.699-704
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• 2007

In this study, we examine why there exist different legal systems in electronic commerce or online financial trading. When a fraud online transaction occurs and the online customer disputes the transaction, the online customer takes responsibility for the proof of her/his argument in many European countries while in the U.S., the burden of proof lays on the firm. This paper analyzes how these two different legal systems exist and how these can be applied to electronic commerce law. In particular, this paper intends to find the optimal level of e-commerce firms' investment on security and analyzes how security investments can be related to firm's profits and consumer's welfare depending on IT infrastructure and social trust environment. More on, this paper can be contributed to provide guidelines for regulatory framework on ecommerce online transactions and discuss social welfare implications.

• Asia pacific journal of information systems
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• v.20 no.3
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• pp.33-49
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• 2010

We empirically examine the impact of online auction knowledge and category-specific knowledge on the final price of online auctions. Specifically, we question how the relationship between buying and selling experiences affects the final prices of online auctions. Related to the trust between buyers and sellers, we examine the multiple interactions between a buyer-seller pairand aim to identify how these repeated transactions influence the final price. To contrast these effects with other product related factors, we focus on so called 'common value' auctions of vintage stamps on eBay, in which the ex-post value of the product is the same among participating agents’ perceived value. Online auction of stamps provides a representative setting to examine the relationship between market experience and the auction participation behavior in the common value auction, as it provides the book value of stamp as well as price variation across individual buyers with different expertise levels. Our analysis of over 3000 stamps auctions on eBay indicates a significantly high frequency of buyer-seller (pair) interactions, thus suggesting a 'relationship view' of auctions. The work validates five hypotheses derived from the existing theory in economics, marketing, and information systems. Through the common-value auction data, we find that seller's online auction experience and category-specific experience favor sellers by increasing the final price. However, buyer's online auction experience does not affect the final price, but buyer's category-specific experience favors buyers by decreasing the final price. We find that the trust between two trading parties increases the final price.

• Asia pacific journal of information systems
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• v.31 no.4
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• pp.491-526
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• 2021

Airlines can employ a variety of quality monitoring procedures. In this study, we employ a content analysis of 8 years of online reviews for Korean airlines in contrast to other international airlines. Online airline reviews are infrequent, relative to the total number of passengers - the number of reviews is multiple orders of magnitude lower than passenger volumes - and online airline reviews are, therefore, not representative of passenger attitudes overall. Nevertheless, online reviews may be indicative of specific service issues, and draw attention to aspects that require further study by airline operators. Furthermore, significant words and phrases used in these airline reviews may help airline operators to rapidly automate filtering, partitioning, and analysis of incoming passenger comments via other channels, including email, social media posts, and call center transcripts. The current study provides insights into the contents of online reviews of Korean vs Other-International airlines, and opportunities for service enhancement. Further, we provide a set of marker words and phrases that may be helpful for management dashboards that require automated partitioning of passenger comments.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.190-196
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• 2007

With the rapid development of electronic commerce, online reputation management systems are of increasing importance in building trust and managing risk. Reputation rating mode and aggregating method are the most crucial parts of a reputation management system. In this paper, we analyze the merits and disadvantages associated with the rating mode and aggregating approach of current reputation management systems, and put forward some suggestions. These suggestions are helpful in improving current reputation management systems and developing new reputation management systems.