• Journal of Information Technology Services
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• v.14 no.1
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• pp.195-215
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• 2015

Recently, as the number of smart-phone users has been rapidly increased, enterprise managers have a keen interest in business application of social media. Most previous studies have focused on perspective of the individual unit of analysis instead of enterprise level unit. The study is focused on the relationship between the enterprises' recognition and behavioral intention (and use) about social media application. The purpose of this study is to develop the model of small and medium enterprises' social media application, and to find the factors affecting their behavioral intention or use behavior. The moderating effects of four corporate characteristics on the relationship between the enterprises' recognition and behavioral intention are also examined. We surveyed 900 corporate staffs and received 203 responses. After questionnaires with unreliable responses had been excluded, 182 effective samples were used in the final analysis. The findings suggest that Performance Expectation, Social Influence, Facilitating Conditions significantly affect Behavioral Intention of social medea, and Behavioral Intention affects USE. Furthermore, some corporate characteristics have moderating effect on the relationship between recognition of social media and Behavioral Intention.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.303-330
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• 2021

The coronavirus infection-19 (hereinafter referred to as Corona 19) that occurred last year has not been ended until now. There have also been major changes in the library environment. This study focuses on changes in the library environment due to prolonged infectious diseases. In addition, it aims to derive implications for library services in the New Normal era by analyzing changes in user needs over time. For this purpose, we have comprehensively summarized the response activities of libraries due to the spread of Corona 19 in 2020, and analyzed changes in user needs that appeared on social media. Key terms were selected by collecting 496,741 tweets related to libraries in 2019 and 2020, and analysis by year and period by operation type was conducted. Through the analysis, the needs of library users in 2020 were classified into four issues, and the implications for each issue were derived.

• Journal of English Language & Literature
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• v.58 no.1
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• pp.69-91
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• 2012

Marina Carr's By the Bog of Cats.... (1998) is the last play of the trilogy of "the midlands plays" which can be regarded as her re-writing of both Euripides' Medea and J. M. Synge's The Playboy of the Western World by resetting the two plays in the midlands of contemporary Ireland. Carr intends to courageously explore into the dangerous liminal space, i.e., the middle between the past and the present, the high Greek and the Irish folk culture, dealing with the ghosts of the dead writers for her own Irish feminist theatre. Thus, in the middle Carr can build a new Irish theatre by minorating and abjecting the Greek tragedy and subverting and expanding Synge's theatre of grotesque realism. This paper attempts to read By the Bog of Cats... as Carr's final project of exploration into the midland of Ireland to establish a new Irish feminist theatre and at the same time a new Irish folk theatre. By focusing on her strategies of minoration and subversion through grotesque imagery and carnival rituals it argues that Carr put Hester's becoming-ghost in the middle, the bog of the cats as both grave and womb, waiting for the birth of a new Irish people. And it emphasizes that the ghost of Hester, merging with the ghosts of her mother and daughter by the bog of cats will haunt the official society as a threatening abjection, challenging the restoration of the social order.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.709-716
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• 2020

In social media, when posting a post, tag information of an image is generally used because the search is mainly performed using a tag. Users want to expose the post to many people by attaching the tag to the post. Also, the user has trouble posting the tag to be tagged along with the post, and posts that have not been tagged are also posted. In this paper, we propose a method to find an image similar to the input image, extract the label attached to the image, find the posts on instagram, where the label exists as a tag, and recommend other tags in the post. In the proposed method, the label is extracted from the image through the model of the convolutional neural network (CNN) deep learning technique, and the instagram is crawled with the extracted label to sort and recommended tags other than the label. We can see that it is easy to post an image using the recommended tag, increase the exposure of the search, and derive high accuracy due to fewer search errors.