• Journal of the Korean Institute of Gas
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• v.23 no.2
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• pp.35-44
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• 2019

One of the key factors of a safe workplace is to communicate with the workers about safety. For this, natural gas workplace is developing and operating related programs or communication activities. But, if there are silence behavior of the workers on the safety issues in this process, no positive outcomes could be expected for the workplace. The purpose of this study is to examine how safety silence motives, silence behavior, and safety communication influence each other. A total of 233 questionnaires based on the workers of natural gas workplace (in Seoul and Gyeonggi) were analyzed. The confidence analysis is to check consistency of the questions, analysis of the correlations between factors, and regression analysis to verify the hypotheses. As a result, the safety silence motives affected safety communication more seriously than the silence behavior did. Safety communication influenced safety silence motives more significantly than the silence behavior. The safety silence motives can be one of the reasons for safety communication to fail, and it was confirmed that a good safety communication does not necessary mean that there is no safety silence motivation. Based on such results, it is expected that improving and developing the safety communication activities of the workplace, it would improve safety in workplace in general.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.369-379
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• 2020

This convergent study aimed to verify the mediating effect of organizational silence and manager's inclination to reject negative feedback in the relationship between organizational justice and turnover intention of Clinical Nurses. Participants were 250 nurses working at general hospitals with 300 hospital beds or more. Examination of the mediating effect of organizational silence showed a mediating effect of acquiescent silence when procedural justice affected turnover intention. Additionally, when interactional justice affected turnover intention, prosocial and acquiescent silence mediated it. Examining the moderated mediating effect of manager's inclination to reject negative feedback showed moderated mediation effect when procedural justice mediated the acquiescent silence and affected the turnover intention. Interactional justice had a moderated mediating effect when the mediation between prosocial and acquiescent silence affected turnover intention. Therefore, it is necessary to efficiently regulate the manager's inclination to reject negative feedback when organizational justice affects organizational silence and turnover intention.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.25 no.1
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• pp.68-77
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• 2018

Purpose: The aim of this study was to establish a hypothetical model on silence regarding patient safety and to verify the model's goodness of fit and hypotheses. Methods: The participants in this study were 330 registered nurses working in tertiary hospitals with over 300 beds. Data were collected between July 1, and August 30, 2017, from nurses who agreed to participate. A covariance structure analysis was performed. Results: The model of fit index was $x^2=59.54$, normed $x^2=2.29$, GFI=.97, AGFI=.93, SRMR=.05, NFI=.99, CFI=.95 and RMSEA=.05. The organizational culture had an influence on patient safety motivation (${\beta}=.26$, p=.003) and attitude (${\beta}=.43$, p<.001). RN-MD collaboration had an influence on patient safety motivation (${\beta}=.33$, p<.001), attitude (${\beta}=.35$, p<.001), and patient safety silence (${\beta}=-.17$, p=.026). Supervisory trust had an influence on patient safety motivation (${\beta}=.26$, p<.001), attitude (${\beta}=.12$, p=.036), and patient safety silence (${\beta}=-.23$, p=.002). Patient safety motivation had an influence on patient safety silence (${\beta}=-.33$, p=.006). The model of patient safety silence explained 36.0% of the variances. Conclusion: This study is meaningful in that it provides basic data for nursing education and program development for rejecting patient safety silence.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.497-507
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• 2021

The objective of the current research study is to examine those elements/factors that can reduce silence so that organizations can become more efficient, innovative, and adaptable by sharing knowledge and work-related problems. The purpose behind conducting this research was to explore the effects of emotional intelligence on silent behavior. The study also focuses on other individual negative aspects that can increase counterproductive behavior like silence and examines the effects of emotional intelligence on silence through moral disengagement. Data was collected from 400 employees using stratified sampling to ensure adequate representation of males and females. Data was collected from nurses and young doctors using the adopted measurement scale through a self-administered questionnaire. Since the sample included nursing staff and they usually are not well versed in English, the instrument was translated into Urdu. Data were analyzed using SEM to assess the direct and indirect effects of EI on employee silence. The result indicates that emotional intelligence has a positive impact on employee silence and moral disengagement. In contradiction to theory, the findings suggest that people with high emotional intelligence tend to get morally disengaged. As a result, they will remain silent and withhold information regarding work-related issues and problems.

• The Journal of the Acoustical Society of Korea
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• v.4 no.1
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• pp.9-15
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• 1985

In this paper, we describe a new algorithm for deciding whether a given segment of a speech signal is classified as voiced speech, unvoiced speech, or silence, based on parameters made on the signal. The measured parameters for the voiced-unvoiced classfication are the areas of each Zero crossing interval, which is given by multiplication of the magnitude by the inverse zero corssing rate of speech signals. The employed parameter for the unvoiced-silence classification, also, are each of positive area summation during four milisecond interval for the high frequency emphasized speech signals.

• The Journal of the Acoustical Society of Korea
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• v.29 no.4
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• pp.278-285
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• 2010

The difference between training and test environments is one of the major performance degradation factors in noisy speech recognition and many silence feature normalization methods were proposed to solve this inconsistency. Conventional silence feature normalization method represents higher classification performance in higher SNR, but it has a problem of performance degradation in low SNR due to the low accuracy of speech/silence classification. On the other hand, cepstral distance represents well the characteristic distribution of speech/silence (or noise) in low SNR. In this paper, we propose a Cepstral distance and Log-energy based Silence Feature Normalization (CLSFN) method which uses both log-energy and cepstral euclidean distance to classify speech/silence for better performance. Because the proposed method reflects both the merit of log energy being less affected with noise in high SNR and the merit of cepstral distance having high discrimination accuracy for speech/silence classification in low SNR, the classification accuracy will be considered to be improved. The experimental results showed that our proposed CLSFN presented the improved recognition performances comparing with the conventional SFN-I/II and CSFN methods in all kinds of noisy environments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.7B
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• pp.528-535
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• 2012

This paper proposes silence drop first(SDF) active buffer management algorithm to increase the voice capacity when silence suppression is used. This algorithm finds and drops silence packet rather than voice packet in the queue for resolving buffer overflow of queue. Simulations with voice codec of G.729A and G.711 are performed. By using proposed SDF algorithm, the voice capacity is increased by 84.21% with G.729A and 38.46% with G.711. Further more, SDF algorithm reduces the required link capacity and loosens the silence packet inter-arrival time limit to provide target voice quality compared with that of conventional algorithms.

• Korea Journal of Hospital Management
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• v.26 no.2
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• pp.43-55
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• 2021

Purposes: In this study, we examined the factors which silenced the organizing members and how the factors affects deprivation of employment about the organization culture, the organizational silence, and the turnover intention. Methodology: In order to research, we carry out a survey on 400 employees of small and medium hospitals. Among them, 321 questionnaires were used for actual analysis, excluding insincere respondents, non-responders or duplicate respondents. In order to verify the hypotheses in this study, we conduct the covariance Structural Equation Model(SEM). Finding: We obtained results using following hypotheses. First, ''The organization culture has an effect on the turnover intention.'' Second, ''The organization culture has an effect on the organizational silence'' Third, ''The organizational silence has a influence on the turnover intention.'' Finally, ''When the organization culture mediates the organizational silence, the adaptation relationship of the ornization effectiveness is different.'', as the key hypothesis, showed that the agreement culture, rational culture, and hierarchical culture of the organization culture type were statistically significant. The organizational silence as a parameter has the partial mediating effects(-) because it has direct and indirect effects. Practical Implications: The results of this study showed that the reason for the organizational silence of the organizing members is that the organization culture by a grade of rank is the largest and these the organizational silence affects the turnover intention.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.3
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• pp.99-112
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• 2014

The purpose of this study is to examine the negative effects of silence climate on the innovation behavior and LMX (Leader-Member Exchange). In order to test our model, we conducted a survey based on the questionnaire. Results showed that silence climate had a negative effect on the innovation behavior and LMX. Secondly, The LMX had a positive effect on innovation behavior. Moreover, the LMX partially mediated silence climate and the innovation behavior. Finally, we drew a conclusion by discussing limitations and implications of the research, and suggested directions for further researches.

• Speech Sciences
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• v.4 no.2
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• pp.41-54
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• 1998

Speech signals are, depending on the characteristics of waveform, classified as voiced sound, unvoiced sound, and silence. Voiced sound, produced by an air flow generated by the vibration of the vocal cords, is quasi-periodic, while unvoiced sound, produced by a turbulent air flow passed through some constriction in the vocal tract, is noise-like. Silence represents the ambient noise signal during the absence of speech. The need for deciding whether a given segment of a speech waveform should be classified as voiced, unvoiced, or silence has arisen in many speech analysis systems. In this paper, a voiced/unvoiced/silence classification algorithm using spectral change in the wavelet transformed signal is proposed and then, experimental results are demonstrated with our discussions.