• Fashion & Textile Research Journal
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• v.15 no.3
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• pp.381-392
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• 2013

This study analyzed the effects of internet fashion consumer characteristics and shopping motivation on price sensitivity as well as the effect of price sensitivity on negative purchasing behavior. A survey was conducted from August 10 to September 20 in 2012 and 364 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. The characteristics of internet fashion consumers were composed of innovation tendency, impulse buying tendency, information orientation, and variety seeking tendency. Shopping motivation was composed of convenient motivation, social motivation, hedonic motivation, product motivation, and economic motivation. The information orientation and variety seeking tendency of internet fashion consumers influenced the price search. The innovation tendency, impulse buying tendency, and variety seeking tendency of internet fashion consumers influenced the price importance. Convenient motivation, hedonic motivation, and product motivation positively affected the price search; however, social motivation negatively affected the price search. The social motivation, hedonic motivation, and economic motivation of internet fashion consumers positively affected price importance. Price search and price importance influenced the purchasing delay; in addition, price search influenced the switching intention. The results of this study provide useful information for customer management and internet shopping mall marketing strategies.

• The Journal of Information Systems
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• v.31 no.3
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• pp.67-87
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• 2022

Purpose This study quantified companies' views on the COVID-19 pandemic with sentiment analysis of U.S. public companies' disclosures. It aims to provide timely insights to shareholders, investors, and consumers by analyzing and visualizing sentiment changes over time as well as similarities and differences by industry. Design/methodology/approach From more than fifty thousand Form 10-K and Form 10-Q published between 2020 and 2021, we extracted over one million texts related to the COVID-19 pandemic. Using the FinBERT language model fine-tuned in the finance domain, we conducted sentiment analysis of the texts, and we quantified and classified the data into positive, negative, and neutral. In addition, we illustrated the analysis results using various visualization techniques for easy understanding of information. Findings The analysis results indicated that U.S. public companies' overall sentiment changed over time as the COVID-19 pandemic progressed. Positive sentiment gradually increased, and negative sentiment tended to decrease over time, but there was no trend in neutral sentiment. When comparing sentiment by industry, the pattern of changes in the amount of positive and negative sentiment and time-series changes were similar in all industries, but differences among industries were shown in neutral sentiment.

• Asia pacific journal of information systems
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• v.30 no.3
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• pp.497-512
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• 2020

Anonymity is one of the key factors that influence communication and the work behaviours of people. It is even more evident in an online community where the role of anonymity can be akin to a double-edged sword: it can increase participation while at the same time having detrimental effects due to irresponsible and disruptive behaviour. Most studies on anonymous participation in groups or communities have reported this ambivalent view of anonymity: positive or negative. Furthermore, the effects of anonymous participation may be different in a dynamic sense because the task characteristics of participation can vary across time. In this study, we hypothesise that the effects of anonymity in online collaboration differ across the stages of collaboration. We analysed 2,978 featured articles on the English-language Wikipedia website and investigated the contributions of anonymous participants. While the contributions of anonymous participants were negative to collaboration efficiency as a whole, the negative effect of anonymous participants was stronger in the earlier stage than the later stage of collaboration. These findings indicate that the effect of anonymity has two sides in terms of collaboration efficiency in the same collaborative environment.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.853-866
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• 2020

The purposes of this research were: 1) to investigate the effect of participatory management on financial information asymmetry, 2) to investigate the effect of corporate governance on financial information asymmetry, 3) to examine the influences of benefits incentives on financial information asymmetry, and 4) to test the mediating effects of benefits incentive that influences the relationship between participatory management, corporate governance, and financial information asymmetry. The research sample consisted of 388 Thai-listed firms. Data were collected through a survey questionnaire. Descriptive analysis, Multiple Regression Analysis, and Structural Equation Modeling were used for the data analysis. The results revealed: 1) participatory management and participation in evaluation had a negative influence on financial information asymmetry. 2) Corporate governance and the rights of shareholders had a negative influence on financial information asymmetry. 3) Benefits incentive was negatively associated with financial information asymmetry. 4) The model's influences of participatory management, corporate governance on the reduction of financial information asymmetry through benefits incentive as mediator fit the empirical data (Chi-square = 104.459, df = 84, p = 0.065, GFI = 0.967, RMSEA = 0.025). The variables in the model explained 78.00% and 4.70 % of the variance of benefits incentive and financial information asymmetry, respectively.

• Korean Business Review
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• v.21 no.1
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• pp.51-71
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• 2008

Career indecision has long been a phenomenon of interest to parents, faculty, school counselors, and others who advise young adults on their career choices. The earliest work on career indecision focused almost exclusively on the negative consequences that young adults faced as a result of lack of self-insight into their own skills and abilities, lack of specific information about various occupations and labor markets, and fear of commitment to any career path in particular. More recently, researchers have noted that some of the short run negative consequences of early career indecision may ultimately lead to long-term positive consequences, particularly if better person-occupation fit is achieved as a result of young adults' extended search behavior. Extroversion, agreeableness, emotional stability, and openness showed to have negative effects on indecisiveness. In case of lack of job information, only extroversion and emotional stability showed to have negative effects on indecisiveness, and openness showed negative effect. Indecisiveness has negative effect on preparatory job search behavior. Lack of information has negative effect on preparatory job search behavior and active job search behavior.

• Journal of Korean Academy of Nursing
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• v.36 no.8
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• pp.1301-1307
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• 2006

Purpose. To determine the effects of provision of information on mother's problem focused coping ability during their child's intravenous procedure. Methods. Data were collected from 56 mothers whose children have admitted to pediatric ward in the hospital. The participants included 27 intervention group mothers and 29 control group mothers. For the information intervention, 'Programmed Information for Parental Coping before Intravenous Procedure (PIPC- IP)', video program was made based on self-regulation theory for the experimental group mothers. Mother's coping ability was measured by parental supportive behavior, parental beliefs and Profile of Mood State (POMS). Results. Mothers who received PIPC-IP showed significantly higher levels of supportive behavior (t = 3.55, p = .005) and Parental Beliefs (t = 2.95, p = .005), but no significant difference in negative mood on POMS (t = .15, p = .87) compared to mothers in the control group. Conclusions. These results demonstrate that PIPC-IP is an effective intervention to increase the supportive behaviors and beliefs of mothers' problem focused coping ability but not the negative mood.

• Journal of the Korean Home Economics Association
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• v.42 no.5
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• pp.107-126
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• 2004

As the information society matures, an analysis on possible outputs of internet usage is needed. Thus, this study was peformed in order to understand the utility cognition and negative outputs of internet users. The method used in this study was a web-based questionnaire that was administered to the internet users. Five hundred married men and women were analyzed with a factor and a multiple regression analysis. Results were as follows: First, many kinds of internet usages - information searching, internet shopping, electronic mail, instant messaging, and decision-making dependent on internet information - were differentiated with age. Second, the altitude about the internet was an important explanatory variable in the types of internet usage. Third, negative outputs of internet usage were great in terms of information resource management and unbalanced scheduling in daily time spent. Fourth, utility cognition was affected by qualitative elements on internet usage more than the quantitative ones.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.430-439
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• 2007

In this paper, we use non-negative matrix factorization (NMF) to refine the document clustering results. NMF is a dimensional reduction method and effective for document clustering, because a term-document matrix is high-dimensional and sparse. The initial matrix of the NMF algorithm is regarded as a clustering result, therefore we can use NMF as a refinement method. First we perform min-max cut (Mcut), which is a powerful spectral clustering method, and then refine the result via NMF. Finally we should obtain an accurate clustering result. However, NMF often fails to improve the given clustering result. To overcome this problem, we use the Mcut object function to stop the iteration of NMF.

• Journal of the Korean Society for Library and Information Science
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• v.1
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• pp.133-146
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• 1970

The writer tries to propose some characteristics of profession and recommend those of librarianship. In this connection, the writer tries to define 'negative' and 'positive' functions of librarianship as a profession. The writer also aims at classifying various disciplines included in library sciencee Library science has to do with such phases as educational aids, storage and retrieval of knowledge and information, and librarianship itself. The title 'Librarian' carries with it the connotation of 'professional' in the sense that professional tasks require a special knowledge and background, that librarians try to maintain quality service to clients, the knowledge and information are produced, developed, and disseminated via librarians, and that librarians are responsible for continuing education. The fact that the present stage of librarianship is generally known to adhere to negative posture and randomness might permit other institutions to replace the library's role.

• The Transactions of the Korea Information Processing Society
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• v.7 no.3
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• pp.852-861
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• 2000

Software reliability growth models are used in testing stages of software development to model the error content and time intervals betwewn software failures. In this paper, using priors for the number of fault with the negative binomial distribution nd the error rate with gamma distribution, Bayesian inference and model selection method for Jelinski-Moranda and Goel-Okumoto and Schick-Wolverton models in software reliability. For model selection, we explored the sum of the relative error, Braun statistic and median variation. In Bayesian computation process, we could avoid the multiple integration by the use of Gibbs sampling, which is a kind of Markov Chain Monte Carolo method to compute the posterior distribution. Using simulated data, Bayesian inference and model selection is studied.