• ETRI Journal
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• v.36 no.4
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• pp.581-590
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• 2014

This study investigates the impact of tweets on box office revenue. Specifically, the study focuses on the times when tweets were written by examining the impact of pre- and post-consumption tweets on box office revenue; an examination that is based on Expectation Confirmation Theory. The study also investigates the impact of intention tweets versus subjective tweets and the impact of negative tweets on box office revenue. Targeting 120 movies released in the US between February and August 2012, this study collected tweet information on a daily basis from two weeks before the opening until the closing and box office revenue information. The results indicate that the disconfirmation that occurs in relation to the total number of pre-consumption tweets for a movie has a negative impact on box office revenue. This premise suggests that the formation of higher expectations of a movie does not always result in positive results in situations where tweets on perceived movie quality after watching spread rapidly. This study also reveals that intention tweets have stronger effects on box office revenue than subjective tweets.

• Journal of Digital Convergence
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• v.6 no.1
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• pp.43-52
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• 2008

Managing of local government public service business is innovation strategy of local government public service business using choice and competition principle. Managing strategy of local government public service business is new paradigm for innovating public service business and role structure of government. It is important to understand properly substance and characteristics of local government public service business. Accordingly, the purpose of this study find bottleneck of local government public service business and take out improvement plan and suggest policy plan of Seo Gu District Office in Gwang Ju City in the future.

• Korean Journal of Construction Engineering and Management
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• v.16 no.6
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• pp.144-155
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• 2015

This paper is to understand investment's efficiency and performance of commercial real estate assets diversified by use and district. To do so, this paper divides two different commercial real estate markets(office build market and retail real estate market) in Seoul city by district into "GBD(Gangnam Business District), YBD(Yeouido Business District), and CBD(Central Business District)" and "GBD(Gangnam Business District), SBD(Shinchon Business District), and CBD(Central Business District)" respectively, configures these districts each other to structure portfolios as its portion varies based on Markowitz's Mean-Variance principle, and looks at risk-return relationship of portfolios to find out efficiency, performance, and optimal investment chosen based upon Sharpe's Performance Index. As a result, the portfolio configured by "10 to 30% of office building asset at CBD" and "70 to 90% of retail real estate asset at CBD" is shown to be the most optimal, suggesting the highest quarterly Sharpe's performance index of 2.7118~2.7776 with quarterly rate of return of 1.826%~1.838% and quarterly standard deviation of 0.573~0.589. Furthermore, it is obvious that diversified portfolio configured by use(office-retail) shows better investment performance than that by district with same type of asset(office-office or retail-retail). Finally, results driven from this research will play an important role to stimulate real estate and construction markets through enlarging ideas as to diversified investment by use and district on real estate indirect investment products.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.1-13
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• 2023

YouTube has become a popular platform for vlogs. Among various forms of vlogs, office worker vlogs, in which a person engaged in a specific job shows his/her work environment and daily routine, are gaining popularity. Thus, focusing on office worker vlogs, the present research investigates the effects of office worker vlogs' characteristics (i.e., vlog content characteristics, vlogger characteristics) on the YouTube viewers' educational value of the vlog and their job engagement. Specifically, this research examines whether(1) vlog content characteristics (i.e., usefulness, accessibility, and vividness) and (2) vlogger characteristics (i.e., job similarity, credibility, and expertise) influence the YouTube viewers' educational value of the vlog. Moreover, this research examines how the YouTube viewers' educational value of the vlog affects their job engagement. With a sample of YouTube viewers of office worker vlogs (N = 215), structural equation modelling was implemented to investigate the relationships in the proposed model. The results indicate that (1) perceived usefulness of the office worker vlog is positively associated with the educational value of the vlog; (2) perceived accessibility of the office worker vlog is positively associated with the educational value of the vlog, albeit marginally significant; (3) perceived vividness of the office worker vlog is positively associated with the educational value of the vlog; (4) perceived job similarity to the office worker vlogger is positively associated with the educational value of the vlog; (5) perceived credibility of the office worker vlogger is positively associated with the educational value of the vlog; (6) perceived expertise of the office worker vlogger is positively associated with the educational value of the vlog; and (7) the educational value of the office worker vlog is positively associated with the YouTube viewers' job engagement. The findings provide important implications for the production and use of office worker vlog contents.

• Journal of the Korean Home Economics Association
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• v.38 no.7
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• pp.27-37
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• 2000

According to recent statistics, the number of family-owned small business have increased. And these growing numbers have created an urgent need for researchers and government to analyse and plan for this population. The purposes of this study were to identify the determining factors of the location of family owned small business and to analyze the factors related to their job satisfaction, and life satisfaction. The data used for this study, were 713 self-employed men and women which were elected from the panel data of 1998 MIPS of Daewoo Economic Research Institute. Statistics performed for the analysis were frequencies, percentiles, t-test, $\varkappa$$^2$, OLS and Logistic analysis. It was found that the person who work at home-base small office were the residents of smaller city, and are older than the office-going attendants. The variable which effects the job satisfaction of the home-based workers was the educational background. And sex was the only factor which affects the job satisfaction of the office-going attendants. It was also found that job satisfaction affects the life satisfaction significantly in both group.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.463-481
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• 2017

Purpose: This study provide the matching mechanism between startup and business incubator to enhance managerial performance of business incubator. In addition, we propose the differentiation strategy for business incubator based on the needs of startups. Methods: In order to carry out the research, we surveyed 216 startups who already have invested in venture capitals and angel investors and currently residing in business incubator and 30 venture capitals and angel investors. Based on survey results, we develop a business incubator capability table matching startup with business incubator. Results: Satisfaction and importance of the supporting programs varied depending on the startup experience and startup lifecycle. As a result, we recommended a R&D center for machinery/material, bio/medical and electric/electronics startups and individual office for ICT and knowledge service startups. In addition, we suggested a differentiation strategy to BI in university specialized for machinery/material, privately operated BI for electric/electronic, (local)government, R&D center and individual office for knowledge service respectively. Conclusion: In this study, business incubator capability table is applied to match startup with business incubator and it could be applied to evaluate the current status of business incubator. Furthermore, it will help to establish a future strategic direction for business incubator.

• Journal of Industrial Technology
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• v.25 no.A
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• pp.115-122
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• 2005

A business process flow model for an intermediary type shopping mall consisting of multiple sellers has been presented in this study. Specifically, we defined 7 essential business processes of the shopping mall administrator and 6 processes of the administrator of a seller. We then performed detailed process flow models using IDEF3 (Integrated DEFinition). The characteristic of this study lies in providing a dynamic model rather than static models. The results may form a conceptual framework not only for shopping mall processes but for analysis and improvement toward extended electronic business systems.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2573-2580
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• 2011

SMRT(Seoul Metropolitan Rapid Transit Corporation) changed PC-oriented office system to Smart-Phone oriented mobile office system(STnF: SMRT Talk & Flash), and provided smart phone to all staffs. STnF make it possible not only voice communication between staff, but also to input and inquiry all kind of information related to work(ex: Facility maintenance, Rolling Stock management, office management, Finance, human resource etc.) based on smart phone. STnF conquers the limitation of time and space. All staffs can commute to the site directly to reduce moving time and to share information between staffs, so SMRT improve speed and reliability of work by making a quick decision and action on the spot. After introduction of STnF, within 1 year, the equipment failure ratio fell to 47%. Mobile office system reduced and level-off the step of approval. so enhanced civil customer service. Quantification and scientific movement of work make it fast evolution and development. These business improvement make it possible to put more outstanding manpower on new business and R&D project, and this contributes to company's management effectiveness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.4090-4102
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• 2018

After emerging online communications, text mining and sentiment analysis has been frequently applied into analyzing electronic word-of-mouth. This study aims to develop a domain-specific lexicon of sentiment analysis to predict box office success in Korea film market and validate the feasibility of the lexicon. Natural language processing, a machine learning algorithm, and a lexicon-based sentiment classification method are employed. To create a movie domain sentiment lexicon, 233,631 reviews of 147 movies with popularity ratings is collected by a XML crawling package in R program. We accomplished 81.69% accuracy in sentiment classification by the Korean sentiment dictionary including 706 negative words and 617 positive words. The result showed a stronger positive relationship with box office success and consumers' sentiment as well as a significant positive effect in the linear regression for the predicting model. In addition, it reveals emotion in the user-generated content can be a more accurate clue to predict business success.