• Journal of Digital Convergence
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• v.16 no.10
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• pp.115-123
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• 2018

This study explores unified service experience to boost O2O services. Previous studies on service management and marketing only focused on customer experience in offline stores, while prior works on information systems looked only at the experience of services in mobile applications. In this vein, this study took into accounts the characteristics of offline stores and the benefits of their mobile applications. Moreover, the final dependent variable was share of wallet to measure customer's expenditure within the category. The theoretical model was tested based on 219 consumers who frequently visit Starbucks and use its mobile application. PLS method was applied to analysis the research model and hypotheses. The analysis results showed that customer satisfaction about offline store is not significantly related to share of wallet, while satisfaction about mobile application plays a significant role in enhancing share of wallet. Hedonic and social benefits were found to have significant effects on satisfaction about mobile application. The analysis results help establish service marketing and strategies to enhance the unified customer experience of O2O service.

• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.79-90
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• 2004

In this study, we applied the Bayesian Networks for the case of the trip generation models using the Seoul metropolitan area's house trip survey Data. The household income was used for the independent variable for the explanation of household size and the number of cars in a household, and the relationships between the trip generation and the households' social characteristics were identified by the Bayesian Networks. Furthermore, trip generation's characteristics such as the household income, household size and the number of cars in a household were also used for explanatory variables and the trip generation model was developed. It was found that the Bayesian Networks were useful tool to overcome the problems which were in the traditional trip generation models. In particular the various transport policies could be evaluated in the very short time by the established relationships. It is expected that the Bayesian Networks will be utilized as the important tools for the analysis of trip patterns.

• 한국노년학
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• v.32 no.2
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• pp.577-592
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• 2012

The purpose of this study is to examine which factors determine fall experience among Korean elderly. To achieve this purpose, it uses the Korean Longitudinal Study of Aging(KLoSA), wave 1 and 2. Participants aged 65 from wave 1 were selected. From wave 2, a dependent variable was selected and it was fall experiences since the first interview in 2006. Other than this variable, all independent variables were selected from wave 1. In analyses, x2 or t-test were conducted to examine whether independent variables significantly differ between falls and no falls. Then, since a dependent variable consisted of two categories-falls or no falls, multiple logistic regressions were run. Female, using hearing aid, having two diseases, having three or more diseases, depression, and exercise 5 times/a week or more elevated the odds ratios of fall experience. compared to their reference categories. Particularly, if Korean elderly had three or more diseases or depression, their likelihood of fall experience would have about 2 times higher than their reference categories. In conclusion, health practitioners should make the elderly be recognized how much these risk factors are important to falls. Also, Korean government should support Korean elderly having these risk factors to prevent them from falling.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.97-121
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• 2013

With the growing importance of knowledge for sustainable competitive advantages and innovation in a volatile environment, many researches on knowledge sharing have been conducted. However, previous researches have mostly relied on the questionnaire survey which has inherent perceptive errors of respondents. The current research has drawn the relationship among primary participant behaviors towards the participation level in knowledge sharing, basically from online user behaviors on Wikipedia, a representative community for online knowledge collaboration. Without users' participation in knowledge sharing, knowledge collaboration for creating knowledge cannot be successful. By the way, the editing patterns of Wikipedia users are diverse, resulting in different revisiting periods for the same number of edits, and thus varying results of shared knowledge. Therefore, we illuminated the participation level of knowledge sharing from two different angles of number of edits and revisiting period. The behavioral dimensions affecting the level of participation in knowledge sharing includes the article talk for public discussion and user talk for private messaging, and community registration, which are observable on Wiki platform. Public discussion is being progressed on article talk pages arranged for exchanging ideas about each article topic. An article talk page is often divided into several sections which mainly address specific type of issues raised during the article development procedure. From the diverse opinions about the relatively trivial things such as what text, link, or images should be added or removed and how they should be restructured to the profound professional insights are shared, negotiated, and improved over the course of discussion. Wikipedia also provides personal user talk pages as a private messaging tool. On these pages, diverse personal messages such as casual greetings, stories about activities on Wikipedia, and ordinary affairs of life are exchanged. If anyone wants to communicate with another person, he or she visits the person's user talk page and leaves a message. Wikipedia articles are assessed according to seven quality grades, of which the featured article level is the highest. The dataset includes participants' behavioral data related with 2,978 articles, which have reached the featured article level, with editing histories of articles, their article talk histories, and user talk histories extracted from user talk pages for each article. The time period for analysis is from the initiation of articles until their promotion to the featured article level. The number of edits represents the total number of participation in the editing of an article, and the revisiting period is the time difference between the first and last edits. At first, the participation levels of each user category classified according to behavioral dimensions have been analyzed and compared. And then, robust regressions have been conducted on the relationships among independent variables reflecting the degree of behavioral characteristics and the dependent variable representing the participation level. Especially, through adopting a motivational theory adequate for online environment in setting up research hypotheses, this work suggests a theoretical framework for the participation level of online knowledge sharing. Consequently, this work reached the following practical behavioral results besides some theoretical implications. First, both public discussion and private messaging positively affect the participation level in knowledge sharing. Second, public discussion exerts greater influence than private messaging on the participation level. Third, a synergy effect of public discussion and private messaging on the number of edits was found, whereas a pretty weak negative interaction effect of them on the revisiting period was observed. Fourth, community registration has a significant impact on the revisiting period, whereas being insignificant on the number of edits. Fifth, when it comes to the relation generated from private messaging, the frequency or depth of relation is shown to be more critical than the scope of relation for the participation level.

• Journal of Popular Narrative
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• v.25 no.3
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• pp.67-99
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• 2019

This paper analyzed romance novels imported into Korea in the 1980s and examined the traits of Korean girls' culture at that time. To this end, This paper chose as subjects the series of 'high-teen romance' published by Samjungdang, 'princess bestseller' by Seoul Publishing and the 'silhouette romance' by Joongang Ilbo in the 1980s. Through the aspects of the paperback romances, the traits of the artist, the content of the work, and the response of the reader, this paper analyzed the position and affection of romance as a genre in Korean culture in the 1980s. In the 1980s, most of the paperback romances available in Korea were translations of the modern and progressive present lines of Harlequin Enterprise's category romance. There were also many writers who were mostly introduced with progressive characters like Charlotte Lamb. The Harlequin romance depicts a story of sensual love. These translated 1980s paperback romance novels allowed girls in Korea to freely imagine the problems of sex and love. In particular, it showed a new perspective on women's sexuality. In Korean love novels, the sexuality of women was treated as an object for the gaze of men. The novels of female writers as college student who criticized this dealt with women's sexuality, but focused on criticism and resistance to the ideology of chastity. The paperback romance made it possible for women to freely enjoy their sexuality by escaping the ethical standards of reality. In addition, the paperback romance was an escape from the frustration of love. Romantic love in Korean love novels did not lead to the unification of mind and body, and always ended in tragedy. On the contrary, the paperback romance started with the fear of the girl who felt love for the first time, showed the process of winning over anxiety, confirming love and reaching a happy marriage. Through this, girls understood general love that was not subordinated to the ideology of chastity, and accepted love positively. The process of establishing romance as a genre in Korean culture and the traits of its readers have not yet been sufficiently clarified yet. This paper compared the romance genre with the other love novels of the day, explaining the position and meaning of the romance genre in Korean culture in the 1980s. Through this, we were able to chart the historical development of the Korean romance genre.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.43-61
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• 2016

Customer reviews help potential customers make purchasing decisions. However, the prevalence of reviews on websites push the customer to sift through them and change the focus from a mere search to identifying which of the available reviews are valuable and useful for the purchasing decision at hand. To identify useful reviews, websites have developed different mechanisms to give customers options when evaluating existing reviews. Websites allow users to rate the usefulness of a customer review as helpful or not. Amazon.com uses a ratio-type helpfulness, while Yelp.com uses a count-type usefulness index. This usefulness index provides helpful reviews to future potential purchasers. This study investigated the effects of sentiment and readability on useful votes for customer reviews. Similar studies on the relationship between sentiment and readability have focused on the ratio-type usefulness index utilized by websites such as Amazon.com. In this study, Yelp.com's count-type usefulness index for restaurant reviews was used to investigate the relationship between sentiment/readability and usefulness votes. Yelp.com's online customer reviews for stores in the beverage and food categories were used for the analysis. In total, 170,294 reviews containing information on a store's reputation and popularity were used. The control variables were the review length, store reputation, and popularity; the independent variables were the sentiment and readability, while the dependent variable was the number of helpful votes. The review rating is the moderating variable for the review sentiment and readability. The length is the number of characters in a review. The popularity is the number of reviews for a store, and the reputation is the general average rating of all reviews for a store. The readability of a review was calculated with the Coleman-Liau index. The sentiment is a positivity score for the review as calculated by SentiWordNet. The review rating is a preference score selected from 1 to 5 (stars) by the review author. The dependent variable (i.e., usefulness votes) used in this study is a count variable. Therefore, the Poisson regression model, which is commonly used to account for the discrete and nonnegative nature of count data, was applied in the analyses. The increase in helpful votes was assumed to follow a Poisson distribution. Because the Poisson model assumes an equal mean and variance and the data were over-dispersed, a negative binomial distribution model that allows for over-dispersion of the count variable was used for the estimation. Zero-inflated negative binomial regression was used to model count variables with excessive zeros and over-dispersed count outcome variables. With this model, the excess zeros were assumed to be generated through a separate process from the count values and therefore should be modeled as independently as possible. The results showed that positive sentiment had a negative effect on gaining useful votes for positive reviews but no significant effect on negative reviews. Poor readability had a negative effect on gaining useful votes and was not moderated by the review star ratings. These findings yield considerable managerial implications. The results are helpful for online websites when analyzing their review guidelines and identifying useful reviews for their business. Based on this study, positive reviews are not necessarily helpful; therefore, restaurants should consider which type of positive review is helpful for their business. Second, this study is beneficial for businesses and website designers in creating review mechanisms to know which type of reviews to highlight on their websites and which type of reviews can be beneficial to the business. Moreover, this study highlights the review systems employed by websites to allow their customers to post rating reviews.