• Knowledge Management Research
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• v.20 no.1
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• pp.175-194
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• 2019

In order to overcome the limitation of market orientation concept, Narver et al. (2004) have extended the original concept into two dimensions, responsive market orientation (RMO) and proactive market orientation (PMO), respectively. Yet, there has been very limited empirical studies that analyzed the differential effects of each market orientation on firm outcomes, especially in the Korean context. We analyze the impact of RMO and PMO on the new product performance in the perspective of SMEs and examine the moderating effect of external factors such as environmental uncertainty and market similarity. The results of this study show that both RMO and PMO have a significant positive effect on the new product performance of SMEs. Also, environment uncertainty shows a negative moderating effect on the relationship between RMO and new product performance, whereas it has positive moderation with PMO. This suggests that focusing on potential customers' needs rather than current needs helps improve firm performance as the competitive environment surrounding the firm becomes more uncertain. Lastly, market similarity showed a positive moderating effect on the relationship between RMO and new product performance, but not on PMO.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.334-344
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• 2020

This was descriptive research aimed at determining the effects of emotional labor, nursing informatics competency, and nursing service environment on the nursing performance of convalescent hospital nurses. One hundred thirty-one nurses participated in this survey. The collected data were analyzed using the SPSS statics18 program. The distribution of the research variables and general characteristics were analyzed by frequency analysis and descriptive statistics. The correlation between emotional labor, nursing informatics competency, nursing service environment, and nursing performance was analyzed by the Pearson correlation, and the influencing factors were hierarchical multiple regression analysis. As a result of the study, the average nursing performance was 65.5 (±8.5) points, emotional labor was 27.2 (±5.6) points, nursing informatics competency was 91.3 (±15.7), and the nursing service environment was 88.2(±16.0) points. The nursing performance showed a positive correlation with the nursing informatics competency (r=.32, p<.001) and nursing service environment (r=.25, p=.005). Nursing informatics competency was the biggest factor affecting nursing performance, and the nursing service environment had no significant influence. Among the general characteristics, marriage status and position also affected the nursing performance. The explanatory power of this regression model was 35.2% and was statistically significant (F=9.815, p<.001).

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.3
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• pp.45-58
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• 2020

In the current trend of increasing network traffic due to the popularization of cloud service and mobile devices, WAN bandwidth is very low compared to LAN bandwidth. In a WAN environment, a WAN optimizer is needed to overcome performance problems caused by transmission protocol, packet loss, and network bandwidth limitations. In this paper, we analyze the data deduplication algorithm of WANProxy, an open source WAN optimizer, and evaluate its performance in terms of network latency and WAN bandwidth. Also, we evaluate the performance of the two-stage compression method of WANProxy and Zstandard. We propose a new method to improve the performance of WANProxy by revising its data deduplication algorithm and evaluate its performance improvement. We perform experiments using 12 data files of Silesia with a data segment size of 2048 bytes. Experimental results show that the average compression rate by WANProxy is 150.6, and the average network latency reduction rates by WANProxy are 95.2% for a 10 Mbps WAN environment and 60.7% for a 100 Mbps WAN environment, respectively. Compared with WANProxy, the two-stage compression of WANProxy and Zstandard increases the average compression rate by 33%. However, it increases the average network latency by 2.1% for a 10 Mbps WAN environment and 5.27% for a 100 Mbps WAN environment, respectively. Compared with WANProxy, our proposed method increases the average compression rate by 34.8% and reduces the average network latency by 13.8% for a 10 Mbps WAN and 12.9% for a 100 Mbps WAN, respectively. Performance analysis results of WANProxy show that its performance improvement in terms of network latency and WAN bandwidth is excellent in a 10Mbps or less WAN environment while superior in a 100 Mbps WAN environment.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.351-359
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• 2018

The purpose of this study was to investigate the levels of emotional intelligence, and convergent nurses' work environment and to identify the effects of emotional intelligence and convergent nurses' work environment on nursing performance among clinical nurses as career-beginners. The study subject was a total of 95 clinical nurses as career-beginners that were recruited from three hospitals. Descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression with SPSS 21.0 program were used to analyze the data. The study results had shown significant correlations of emotional intelligence, and convergent nurses' work environment and regulator of emotional and leadership had explanation power 28.0% of nursing performance. We should consider the methods to enhance regulator of personal emotional and improve leadership of administrators for nursing performance. Therefore, the results can be used as basic data to develop nursing performance improvement program and the strategies for clinical nurses as career-beginners.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.231-249
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• 2018

The purpose of this study is analyze the factors affecting the standard precaution(SP) performance on the knowledge, awareness, attitude and safety environment for SP of healthcare workers of general hospitals. The research method was a descriptive research study. The subject were 262 of healthcare workers of general hospitals. The data were analyzed using descriptive statistics, t-test, Chi-square test, ANOVA, Person's correlation coefficient and Multiple regression analysis using the SPSS program. As a result of the correlation analysis SP Performance was positively correlated with attitude (r=.18, p=.003), safety environment (r=.42, p<.001) and awareness (r=.63, p<.001). As a result of the stepwise multiple regression analysis on the factors influencing SP performance were SP awareness and safety environment. Therefore, in order to improved performance of SP, it's important to improve a awareness and safety environment of SP. Different and persistent infection management educational programs that consider the occupational characteristics and monitoring are required.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.101-107
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• 2011

The background noises and distortions by channel are major factors that disturb the practical use of speech recognition. Usually, noise reduce the performance of speech recognition system DSR(Distributed Speech Recognition) based speech recognition also bas difficulty of improving performance for this reason. Therefore, to improve DSR-based speech recognition under noisy environment, this paper proposes a method which detects accurate speech region to extract accurate features. The proposed method distinguish speech and noise by using entropy and detection of spectral energy of speech. The speech detection by the spectral energy of speech shows good performance under relatively high SNR(SNR 15dB). But when the noise environment varies, the threshold between speech and noise also varies, and speech detection performance reduces under low SNR(SNR 0dB) environment. The proposed method uses the spectral entropy and harmonics of speech for better speech detection. Also, the performance of AFE is increased by precise speech detections. According to the result of experiment, the proposed method shows better recognition performance under noise environment.

• Journal of the Korea Safety Management & Science
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• v.13 no.3
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• pp.133-143
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• 2011

It seems required to determine what might affect the technological innovation activities of manufacturing companies and what kind of role they could play for them to carry out technological innovation activities in an effective way. The objective of the present study is thus to conduct a depth empirical analysis of the structural relations among business environment, technological innovation activities and performance of manufacturing companies. From the analysis, following outcomes could be drawn: First, with regard to the relationship between business environment and technological innovation activities of manufacturing companies, it has become clear that the external environment is a factor that can influence technological innovation activities such as management of technical property, technological innovation system as well as technical network, while it exercises no impact upon adaptation of manufacturers to new technologies. The internal environment, on the other hand, turns out to have influence on such overall factors of technological innovation activities as management of technical property, technological innovation system, adaptation to new technologies and technical network; and Second, as for the relationship between technological innovation activities and their performance, it has been obvious that management of technical property and technological innovation system, both factors of technological innovation activities, affect the performance of product development and financial achievements of manufacturing companies. Their adaptation to new technologies will also affect their performance of product development as well as financial achievements. These findings suggest that it is important for manufacturing companies to set up an operating system that may be able to upgrade the practical applicability of their technological development activities in an attempt to promote performance of their technological innovation activities.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.9
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• pp.189-196
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• 2020

Recently, GPU cloud computing technology applying GPU(Graphics Processing Unit) devices to virtual machines is widely used in the cloud environment. In a cloud environment, GPU devices assigned to virtual machines can perform operations faster than CPUs through massively parallel processing, which can provide many benefits when operating high-performance computing services in a variety of fields in a cloud environment. In a cloud environment, a GPU device can help improve the performance of a virtual machine, but the virtual machine scheduler, which is based on the CPU usage time of a virtual machine, does not take into account GPU device usage time, affecting the performance of other virtual machines. In this paper, we test and analyze the performance degradation of other virtual machines due to the virtual machine that performs GPGPU(General-Purpose computing on Graphics Processing Units) task in the direct path based GPU virtualization environment, which is often used when assigning GPUs to virtual machines in cloud environments. Then to solve this problem, we propose a GPGPU task management method for a virtual machine.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.2
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• pp.87-100
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• 2020

The purpose of this study is to examine whether some factors that influence the computerized accounting class in a university, namely the educational environment of the university, curriculum of the professor and his/her teaching methods, and the self-efficacy of the leaners manifest themselves in effective class satisfaction, class performance and class immersion which reflect these factors. As results, First, in the relationship between the class satisfaction, the professor, the students, and the educational environment of the university all had a significant influence. Second, in the relationship between the class performance, the professors and the students had a significant influence. However, class performance did not have a significant impact on the educational environment of the university and the program. Third, in the relationship between the factors of the classes and the classes immersion, which is one of the sub-elements of the learning performance, it was shown that the environment of the university and the students had a significant impact, while the program and the professor did not have an impact on the class immersion.

• Journal of Positioning, Navigation, and Timing
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• v.5 no.4
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• pp.165-172
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• 2016

A Global Navigation Satellite System (GNSS), which is typically exemplified by the Global Positioning System (GPS), employs a open signal structure so it is vulnerable to spoofing electronic attack using a similar malicious signal with that used in the GPS. It is necessary to require a spoofing test evaluation environment to check the risk of spoofing attack and evaluate the performance of a newly developed anti-spoofing technique against spoofing attacks. The present paper proposed a simulation method of spoofing environment based on simulator that can be implementable in a test room and analyzed the spoofing simulation performance using commercial GPS receivers. The implemented spoofing simulation system ran synchronized two GPS simulator modules in a single scenario to generate both of spoofing and GPS signals simultaneously. Because the signals are generated in radio frequency, a commercial GPS receiver can be tested using this system. Experimental test shows the availability of this system, and anti-spoofing performance of a commercial GPS receiver has been analyzed.