• Culinary science and hospitality research
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• v.22 no.6
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• pp.132-144
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• 2016

This study reviewed previous researches about the competence selection of foodservice firms, and shows firm's performance model through the results. The study classified factors according to core competence, differentiation strategy, and management performance. Out of 400 survey responses from by the firm's executive and employees who had worked for over three years at the headquarters (sales, financial, marketing/plan, R & D, etc.), a total of 302 questionnaires were used for the final analysis due to missing values and biased responses (response rate: 75.5%). As the results of analyzing final research model of this study, it appeared that ${\chi}^2(df=170)=384.88$, ${\chi}^2/df=2.26$, GFI=0.90, NFI=0.92, CFI=0.95, RMSEA=0.07. The results indicated that the CEO leadership, organizational culture, and human resource competencies are a driving force in all aspects of competitive advantage differentiation strategies. In addition, the R & D innovation, service, and marketing differentiation strategies are positively related to performance. The results validate the fact that foodservice firms could reinforce strategic decisions through a variety core competencies and achieve continuous performance through competitive strategies.

• Management & Information Systems Review
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• v.33 no.2
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• pp.135-153
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• 2014

Tendencies such as the increasing spread of market globalization, new technological developments, the reduction of product life cycles and aggressive competition, are generating high levels of environmental changes and uncertainty for organizations of all types. these circumstances require rapid responses through adaptation of organizational attitudes and capabilities, which lead to innovative management approaches and organizational methods. Human resource management researchers have struggled to elaborate the underlying mechanism explaining how human resource systems relate to organizational performance after universalistic perspectives were supported by a majority of studies investigating the positive relationship between human resource management system and firm performance. To fill the void, hypotheses in this study predicted human resource flexibility that would mediate the relationship between human resource management system and firm performance. The research model among the variables in this study was as follows: These theoretical models were tested with a sample of 138 firms in Korea. The analysis of data was undertaken by using AMOS. The Summary of the verification results is follows: Firstly, most of human resource management system and human resource flexibility had positive effects on human resource performance Secondly, most of human resource management system and human resource flexibility had positive effects on firm's financial performance Thirdly, human resource flexibility had mediated the relationship between human resource management system and firm performance The results of the present research may be demonstrated that organizations or managers could achieve a high level of management practices that lead to firm performance by enabling human resource to be flexible through high performance human resource management system.

• Journal of Service Research and Studies
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• v.2 no.1
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• pp.1-11
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• 2012

Until Now, Many IT Service companies in Korea have grown up by giving the useful service of Information Technology System to customer in the domestic market. But nowadays, When Information Technology becomes a Smart Technology that give convergence between some industries, Intelligence, Mobility by combining so many industry technologies, business opportunities with smart technology increase bigger than ever. In accordance with the above directions, this study introduces the result of case study in the LG CNS Companies. This case involves a story that innovate a service model by smart technology, and create educational programs to change the way of employee working by Human Performance Tehnology.

• Journal of the Ergonomics Society of Korea
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• v.14 no.1
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• pp.25-35
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• 1995

For information processing tasks, it is an important cognitive skill to manipulate and store information, which is known as information intake. One of the tasks which greatly involve this skill would be a spreadsheet calculation task. In this study, a spreadsheet calculation task is analyzed by the cognitive task analysis based on the cognitive factors having been usef for a model of human information processing. By the results of the cognitive task analysis, the spreadsheet calculation tasks to be used in the experiments are designed and the testbattery of cognitive abilities assessment (CCAB ; complex cognitive asssessment battery) are selected. Then, the features of cognitive demands and a human performance model of the spreadsheet calculation task are suggested by means of correlation analysis, principal component factor analysis, and regression analysis of the results of the experiments on task performances and the assessment of cognitive abilities. Also, the application of the results of the study to job placement and further research issues are described.

• Journal of the Ergonomics Society of Korea
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• v.31 no.6
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• pp.705-713
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• 2012

Objective: The aim of this study is to predict human visual target search using ACT-R cognitive architecture in real scene images. Background: Human uses both the method of bottom-up and top-down process at the same time using characteristics of image itself and knowledge about images. Modeling of human visual search also needs to include both processes. Method: In this study, visual target object search performance in real scene images was analyzed comparing experimental data and result of ACT-R model. 10 students participated in this experiment and the model was simulated ten times. This experiment was conducted in two conditions, indoor images and outdoor images. The ACT-R model considering the first saccade region through calculating the saliency map and spatial layout was established. Proposed model in this study used the guide of visual search and adopted visual search strategies according to the guide. Results: In the analysis results, no significant difference on performance time between model prediction and empirical data was found. Conclusion: The proposed ACT-R model is able to predict the human visual search process in real scene images using salience map and spatial layout. Application: This study is useful in conducting model-based evaluation in visual search, particularly in real images. Also, this study is able to adopt in diverse image processing program such as helper of the visually impaired.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.1-18
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• 2016

Although previous studies show that organizational culture and organizational communication could be influential factors in knowledge management and organizational performance, the more integrated research to indicate relationships among all of the factors is still needed. By indicating the inter-relationships among the factors and the direction of the influence, this paper suggests various ways to develop an integrated approach to the improvement of organizational performance through knowledge management and other related factors. Thus, the purpose of this study is to investigate the relationships among national culture, organizational culture, organizational communication, knowledge management, and organizational performance. Based on a comprehensive review of extant literature on the relationships among these factors, the relationships are summarized in the conceptual model. According to the model, organizational performance is influenced by knowledge management, organizational communication, and organizational culture, and knowledge management is influenced by organizational communication and organizational culture. Based on the conceptual model, implications for human resource (HR) researchers and practitioners seeking to optimally improve organizational performance are presented.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.93-101
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• 2020

Shipyards are potential environments for using IoT services, sensor networks, and delay tolerant networks. Simulations of those services and networks strongly rely on human mobility models. Results obtained with an unrealistic model may not reflect the true performance of applications, protocols, and algorithms in a shipyard. A lot of synthetic models for human movements have been studied but most of them are generic and focus on the daily movements of humans on city scales. Nevertheless, workers in shipyards have unique movement characteristics such as movement speed, pause time, and attractions places. For instance, workers usually move to some places, where they work, and rarely move to other places in the factory. Movement characteristics of workers not only depend on workers but also on tasks, which they do. For instance, workers, who paint ships, have similar movement speed and pause time. Hence, in this paper, human movements in shipyards are studied. We propose a new human mobility model called the human mobility mode in shipyards (MIS). In MIS, workers are classified into multiple types. Movement characteristics of a worker are similar to other workers in the same type. Based on the visiting probability, workers have some places, where they frequently visits, and some places, where they rarely visit. We analyze real mobility traces and studie to achieve human movement characteristics from real traces. The results show that MIS provides a well-match to the movement characteristic from real traces.

• Journal of Korea Technology Innovation Society
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• v.1 no.2
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• pp.220-230
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• 1998

Recent concerns over national and corporate competitiveness have stimulated a renewed interest in organization's performance. The organization's performance primarily depends on resources including human resources, budget, physical based resources, and so on. Especially because the relationship between organization's performance ;md individual capabilities is more evident in R & D organizations where the knowledge base is embodied in people, there has taken an increasing interest in the methodologies for measuring the capabilities of R & D personnel. This paper presents new methodological approach to measure the capabilities of R & D personnel. And the model is empirically applied to ETRI, a public R & D organization in Korea. On the basis of the results, the implications for R & D management are discussed, with regard to R & D business and human resources management.

• Transactions of the Korean Society of Automotive Engineers
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• v.7 no.8
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• pp.160-171
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• 1999

The paper examines the ride performance enhancement that can be obtained by applying hydraulic semiactive vibration absorbers(SAVa) to alter the compliance characteristics of the seat/wheel suspension system. The work relies on a consistent model of the (nonlinear) hydrodynamics of the SAVA. A recently developed Lyapunov control scheme is used to provide regulation.. The performance is first examined assuming a quarter car with a seat/seat mounted mass. The paper then employs a quarter car/seat with a two mass ISO model of the seated human . The simulated results indicated that a reduction of 45% of the peak vertical acceleration is achievable with new system.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.209-214
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• 2013

Improve the recognition performance of speech recognition systems as a method for recognizing human listening skills were incorporated into the system. In noisy environments by separating the speech signal and noise, select the desired speech signal. but In terms of practical performance of speech recognition systems are factors. According to recognized environmental changes due to noise speech detection is not accurate and learning model does not match. In this paper, to improve the speech recognition feature extraction using gamma tone and learning model using acoustic model was proposed. The proposed method the feature extraction using auditory scene analysis for human auditory perception was reflected In the process of learning models for recognition. For performance evaluation in noisy environments, -10dB, -5dB noise in the signal was performed to remove 3.12dB, 2.04dB SNR improvement in performance was confirmed.