The purpose of this study is to empirically analyze the impact that occurs when Korean organizations make practical use of various information technology tools and systems in the knowledge management process, such as sharing, learning and creating knowledge. Such a process is usually made through online and offline knowledge management activities. This paper also verifies how the externalization of tacit knowledge, and the internalization of explicit knowledge via the Internet and offline socialization activities have altered the mechanisms of knowledge transfers inside organizations. For the research, a survey was conducted on the satisfaction and usability levels of information technology, and the impact of IT usage on the results of knowledge management activities and knowledge transfers. 622 Korean organizations were surveyed, including major listed firms and public organizations. The results were examined as an online/offline integration process using SECI's Model proposed by Nonaka (1994, 1995). The analysis shows that information technology satisfaction and the usage of information technology help accelerate the pace of the knowledge flow and amplify the volume of the knowledge transfer by boosting the externalization and internalization processes-also known as knowledge management activities. However. there is no distinct correlation between information technology and socialization, an offline knowledge transferal activity. In particular, the quality of knowledge-an end result of knowledge transfer-does not improve merely by the externalization of online knowledge and instead requires the internalization of knowledge processes. Above all, the research reveals that offline socialization processes vastly contribute to the improvement of knowledge quality. This paper suggests that in order to ensure a transfer of quality knowledge, an organization or a company should focus on the use of information technology rather than the satisfaction level of information technology, and that knowledge transfers via the Internet has limitations in creating high quality of knowledge. For an organization to ensure the transfer of high-quality knowledge, the organization should not entirely hinge the transfer of knowledge online, as it is essential to have an offline method-a form of socialization such as a 'community of practice.'
As online shopping is activated by the development of the Internet, consumers' purchase form is changing from the traditional face-to-face purchase method to online purchase method. Many sellers have flowed into shopping malls, and competition among sellers is very intense. Therefore, sellers in shopping malls need to establish rational marketing strategies by analyzing consumer purchase patterns and product sales trends. In this paper, we analyzed the purchase price of consumers by analyzing the product price, rating, and sales quantity of competitors who sell the same product in open shopping malls by time zone. In addition, the collected information was visualized in a chart so that the company's and competitors' sales trends could be easily compared. Using the above system, it is possible to predict the sales volume through the analyzed purchasing pattern and to select the reasonable price of the product by grasping the sales trend.
When people contact the government they can use a variety of channels. That is, they go in person to an office, use a telephone service, access information via the Internet, send a letter, or use a third party. Since the Australian Government first recognised the potential of online technology to improve service delivery in its 1997 Investing for Growth statement, it has articulated its policies and strategies for e-government in a number of papers. E-government involves government agencies delivering better programs and services online through the use of new information and communication technologies. The policy papers included Government Online-The Commonwealth's Strategy, launched in April 2000, and a new framework for e-government, Better Services. Better Government, launched in November 2002. Most recently, the Government released Australia's Strategic Framework for the Information Economy in July 2004. These papers outlined the broad directions and priorities for the future of e-government in Australia, and sought to maintain the momentum of agencies' actions under Government Online. One of its key objectives was for agencies to achieve greater efficiency in providing services and a return on their investments in ICT (Information and Communication Technology)-based service delivery. They also stated that investing in e-government should deliver tangible returns, whether they take the form of cost reductions, increased efficiency and productivity, or improved services to business and the broader community Implementation of the Government policy has led to considerable agency investment in ICT-based service delivery. However government policy also requires managers to ensure that program and service delivery is efficient and effective. Efficient and effective use of ICT has the potential to improve service delivery and to make financial savings. This paper outlines how people are using the channels to contact the government in Australia. It also examines the level of satisfaction they have with those services and their preferences and expectations. In addition, this paper aims at identifying the methods used by Australian Government to measure the efficiency and effectiveness of their delivery of services, and at assessing the adequacy of these methods.
In the past, the existing Internet service was used to simply gather information and show, with the development of Web 2.0 where everyone is allowed to access and share information. Since the development of the concept and the technology of the Web 2.0, the users of Social Network Service (SNS) such as Facebook, MySpace, Youtube, Twitter, etc., have been increasing. In this study, we researched into the Social Capital formed by using SNS based on "Social Capital Theory." We constructed the survey to obtain the demographical information of the users, motive of using the SNS and the evaluation of the On-line Social Capital. The survey was aimed for the Korean and the Chinese. In addition, a multi-regression analysis was performed to explain the relationship between the function of Social Network Service and the Online Social Capital. The result of this study, presents a relationship between the Online Social Capital form and function of Social Network Service users. Therefore, the information obtained in this study can be applied when developing the service.
Purpose The traditional topic modeling technique makes it difficult to distinguish the semantic of topics because the key words assigned to each topic would be also assigned to other topics. This problem could become severe when the number of online reviews are small. In this paper, the extended model of topic modeling technique that can be used for analyzing a small amount of online reviews is proposed. Design/methodology/approach The extended model of being proposed in this paper is a form that combines the traditional topic modeling technique and the Word2Vec technique. The extended model only allocates main words to the extracted topics, but also generates discriminatory words between topics. In particular, Word2vec technique is applied in the process of extracting related words semantically for each discriminatory word. In the extended model, main words and discriminatory words with similar words semantically are used in the process of semantic classification and naming of extracted topics, so that the semantic classification and naming of topics can be more clearly performed. For case study, online reviews related with Udo in Tripadvisor web site were analyzed by applying the traditional topic modeling and the proposed extension model. In the process of semantic classification and naming of the extracted topics, the traditional topic modeling technique and the extended model were compared. Findings Since the extended model is a concept that utilizes additional information in the existing topic modeling information, it can be confirmed that it is more effective than the existing topic modeling in semantic division between topics and the process of assigning topic names.
As the usefulness of big data analysis has been drawing attention, many studies in the business research area begin to use big data to predict firm performance. Previous studies mainly rely on data outside of the firm through news articles and social media platforms. The voices within the firm in the form of employee satisfaction or evaluation of the strength and weakness of the firm can potentially affect firm value. However, there is insufficient evidence that online employee reviews are valid to predict firm value because the data is relatively difficult to obtain. To fill this gap, from 2014 to 2019, we employed 97,216 reviews collected by JobPlanet, an online firm review website in Korea, and developed a machine learning-based predictive model. Among the proposed models, the LSTM-based model showed the highest accuracy at 73.2%, and the MAE showed the lowest error at 0.359. We expect that this study can be a useful case in the field of firm value prediction on domestic companies.
Journal of The Korean Association of Information Education
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v.24
no.6
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pp.519-528
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2020
Due to COVID-19, most schools are conducting online learning. In this study, a total of 12 block-type educational programming tool classes were conducted in the form of online learning for 6th grade elementary school students, and then quantitatively and qualitatively analyzed students' perceptions of their learning experience on entry learning. As a result of the analysis, it was found that the learner easily recognized the use of the entry program and the difficulty of learning contents, and the learning satisfaction was high. When students face difficulties, it was found that they received the most help from the hint function provided by the site itself, and they were found to be less aware of the necessity of teachers when learning entry. As a result of the qualitative analysis, it was found that the learner felt a lot of novelty and fun through easy and simple operation. On the other hand, it was found that the learning contents and hints were not understood, which made them difficult and felt that the hint contents were insufficient. It was found that students felt a sense of accomplishment by creating and manipulating programs as they wish.
Journal of the Korea Institute of Building Construction
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v.22
no.3
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pp.327-336
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2022
Due to the COVID-19 pandemic, the ratio of online education in domestic universities has rapidly increased. This research has developed a curriculum that can be blended with online education-especaally for building construction. The realities of building construction education provided by domestic universities during the COVID-19 pandemic were analyzed. It was revealed that approximately 66.1% of the education was provided online, while approximately 33.9% of the education was provided in the form of face-to-face lectures. It was thus found that the ratio of online education had rapidly increased. We developed a blended learning curriculum of building construction subjects. The curriculum focused on weekly education procedures and the contents of education for each 15-week period. The curriculum proposed by this research could be applied flexibly according to the education goals of the instructor and the learning capabilities of the students.
Purpose In this paper, we propose the method to extend topic modeling techniques in order to derive data-based research hypotheses when establishing research hypotheses for social sciences, As a concept in contrast to the existing deductive hypothesis establishment methodology for the social science research, the topic modeling technique was expanded to enable the so-called inductive hypothesis establishment methodology, and an analysis case of the Seongsan Ilchulbong online review based on the proposed methodology was presented. Design/methodology/approach In this paper, an extension architecture and extension algorithm in the form of extending the existing topic modeling were proposed. The extended architecture and algorithm include data processing method based on topic ratio in document, correlation analysis and regression analysis of processed data for topics derived by existing topic modeling. In addition, in this paper, an analysis case of the online review of Seongsan Ilchulbong Peak was presented by applying the extended topic modeling algorithm. An exploratory analysis was performed on the Seongsan Ilchulbong online reviews through the basic text analysis. The data was transformed into 5-point scale to enable correlation and regression analysis based on the topic ratio in each online review. A regression analysis was performed using the derived topics as the independent variable and the review rating as the dependent variable, and hypotheses could be derived based on this, which enable the so-called inductive hypothesis establishment. Findings This paper is meaningful in that it confirmed the possibility of deriving a causal model and setting an inductive hypothesis through an extended analysis of topic modeling.
Journal of the Korean Society for Library and Information Science
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v.56
no.4
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pp.161-180
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2022
This study aims to improve the accessibility of websites that can search for online e-journals and check the original text, and the accessibility of web contents in the form of article papers. In order to publish online e-journals in Korea, article contribution management system is used, and services are provided through public or private academic DB companies. There was no content related to accessibility in the publishing and editing stage of online e-journals. In the case of foreign countries, objective to comply with Level AA of WCAG 2.1 to improve accessibility of websites and web content. In addition, the level of accessibility of academic journals is guided through VPAT. In order to improve access to web content in online journals, Accessibility matters are added to the academic society's editorial and publication regulations. Accessibility education should be provided to journal editors. Accessibility checklists should be developed and researchers should verify themselves. To improve the accessibility of online e-journals to websites, For equal use, various convenience functions should be provided when using the website. It guides the accessibility function to the article contribution management system. Each academic and academic DB company should be required to submit a Korean VPAT.
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