• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.155-160
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• 2007

A learning resource is a SCO or a collection of on or more assets in the SCORM. A storage policy is required to search rapidly and reuse assets in e-learning environment. However there are not research results about it. In this paper, We propose a storing method for assets based on cluster and define the mathematical formulation of it. Also, we present criteria for assets evaluation and describe procedure to evaluate each asset. We show that the search based on proposed cluster storing method increase performance than the categorization search through performance evaluation.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.2
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• pp.62-64
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• 2006

The emerging peer-to-peer (P2P) model has recently gained a significant attention due to its high potential of sharing various resources among networked users. Super-peer based unstructured P2P systems have been found very effective by dividing the peers into two layers, super-peer and ordinary-peer Super-peers deal with all queries instead of ordinary-peers. The existing P2P systems assume all super-peers have equal responsibility and capabilities even if all super-peers have relative advantages and disadvantages. In this paper, we suggest the ISP2P (Intelligent Super-peer based P2P) which allows to select the best super peer to ordinary-peers. We classify super peers according as the capacity of an ordinary-peer a super-peer. We show that these considerations could improve the performance of the response time and Provide higher quality results to all peers in the network.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4600-4616
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• 2021

In cognitive radio networks where unlicensed secondary users opportunistically access to licensed spectrum unused by licensed primary users, spectrum sensing is one of the key issues in order to effectively use the frequency resource. For enhancing the sensing performance in energy detection-based spectrum sensing, spatial diversity based on multiple antennas is utilized. However, the sensing performance can be degraded when antennas are spatially correlated, resulting in inducing the harmful interference to primary users. To overcome this problem, in this paper, an advanced energy detector is proposed. In the proposed sensing method, a weight matrix based on the eigenvalues of the spatial channels without any prior information on the primary signals is defined and utilized. In numerical simulations, it is shown that the proposed detector outperforms the conventional detector with regard to false-alarm and detection probabilities when antenna are spatially correlated.

• Journal of Venture Innovation
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• v.4 no.3
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• pp.17-30
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• 2021

Environmental deterministic perspectives and resource-based perspectives have different perceptions on the factors that determine corporate performance. While the environmental deterministic viewpoint sees the external environment as having a significant impact on corporate performance. On the other hand, the resource-compliant viewpoint believes that it is important to obtain the necessary resources through appropriate decision-making in order to overcome the uncertainty of the environment. Although the external environmental impact on corporate performance is important, the study is in the position that efforts within the company to cope with environmental uncertainty are necessary. This study identified the role that factors within the company play in the process of affecting the external environment of the company's performance. This study looked at whether the CEO's innovation direction plays an mediating role in the market environment favorability affecting sales growth rate. The data was collected using a survey method. We collected data from 138 small and medium-sized manufacturing companies in Gyeongin area. The collected data was analyzed using SPSS 22 packages. According to the analysis, market environment favorability positively affects sales growth rate, and the CEO's innovation direction plays a mediating role between market environment favorability and sales growth rate. The results of this study showed that depending on the market environment, the CEO's interest and willingness to innovate, present a vision for innovation, and institutionalize innovation activities increase management performance through innovation.

• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.15-27
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• 2004

Most software projects inevitably involve various types and degrees of uncertainty. Without proper risk assessment and coordination, software projects can easily run out of control and consume significant additional resource. Thus, risk management techniques are critical issues to information system researchers. Previous empirical studies of U.S. software firms support the adoption of development standardization and user requirement analysis techniques in risk-based software project management. Using data collected from software projects developed in Korea during 1999-2000, we conduct a comparative study to determine how risk management strategies impact software product and process performance in countries with dissimilar IT capabilities. In addition, we offer an alternative conceptualization of residual performance risk. We show that the use of residual performance risk as an intervening variable is inappropriate in IT developing countries like Korea where the role of late stage risk control remedies are critical. A revised model is proposed that generates more reliable empirical implications for Korean software projects.

• Journal of Technology Innovation
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• v.6 no.2
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• pp.101-121
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• 1998

Recent entrepreneurship studies emphasize the importance of entrepreneurial activities of entrepreneurs. This study focuses entrepreneurial behaviors, especially entrepreneurial networking activities of Korean high-tech ventures. Networking activities can utilize external resources which are critical to success, with less resource commitment. This study examines the relationship between characteristics of entrepreneurial networking and performance, and analyses influencing factors of entrepreneurial networking activities. Based on the data from 55 new high-tech ventures in Korea, hypotheses that the characteristics of entrepreneurial networking are related to the performance of new high-tech ventures are tested using regression analysis and t-test. Major findings of this study are as follows: (1) entrepreneurial networking are related to the performance of new high-tech ventures, (2) significant differences are found in the characteristics of entrepreneurial networking between high- and low-performance firms, (3) characteristics of entrepreneurs and firm' technological capabilities are related to the degree of entrepreneurial networking activities. Finally, managerial and policy implications of the study are presented and future research directions are also suggested.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.317-326
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• 2020

Previous studies have suggested that individuals need to invest in the accumulation of career competencies. To demonstrate how to acquire career competencies, a model consisting of the knowing why, knowing how, and knowing whom competencies was actively discussed in the previous studies. This study seeks to identify the relationships among these competencies based on three ways of knowing, and their effects on perceived work performance. Furthermore, this study tried to identify the importance of each of these competencies in predicting perceived individual performance in the business workplace environment. The findings showed that the knowing why, knowing how, and knowing whom competencies all have a statistically significant positive influence on perceived individual work performance. Also, the study results showed the relative importance of the three competencies for perceived work performance. Specifically, the study results showed that the effects of the knowing why and knowing whom competencies are greater than the effect of the knowing how competency. The theoretical and practical implications of the study results were provided, including empirical evidence of the validity of the career capital model, the appropriateness of the career competency model based on the three ways of knowing, and assignment of resources for the acquisition of career competencies.

• The Journal of Industrial Distribution & Business
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• v.14 no.3
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• pp.9-17
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• 2023

Purpose: Intrinsic motivation can be affected by external factors and may not always be present in an employee. This study aims to shed light on the role of intrinsic and extrinsic motivation in driving employee performance and to determine which type of motivation has a greater impact on performance. Additionally, the research seeks to understand the impact of motivation on different employee characteristics, such as age, gender, and job tenure. Research design, data and methodology: The present author has obtained textual data from the current literature dataset, However, focusing on mostly journal articles and published books because it could provide the justification of reliability and validity and help to collect solid previous studies which is logically categorized themes. Results: The findings of the present research are divided into four differences (Difference in Job Satisfaction, Difference in Job Involvement, Difference in Organizational Commitment, and Difference in Turnover Intention), each focusing on one aspect of employee performance: job satisfaction, job involvement, organizational commitment, and turnover intention. Conclusions: Organizations can use the differences in employee performance based on intrinsic and extrinsic motivation to improve employee performance by recognizing the importance of intrinsic motivation, providing opportunities for employees to experience intrinsic motivation, and balancing extrinsic and intrinsic motivation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1638-1654
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• 2018

The heterogeneous network (HetNet) has been one of the key technologies in Long Term Evolution-Advanced (LTE-A) with growing capacity and coverage demands. However, the introduction of femtocells has brought serious co-layer interference and cross-layer interference, which has been a major factor affecting system throughput. It is generally acknowledged that the resource allocation has significant impact on suppressing interference and improving the system performance. In this paper, we propose a hybrid-clustering algorithm based on the $Mat{\acute{e}}rn$ hard-core process (MHP) to restrain two kinds of co-channel interference in the HetNet. As the impracticality of the hexagonal grid model and the homogeneous Poisson point process model whose points distribute completely randomly to establish the system model. The HetNet model based on the MHP is adopted to satisfy the negative correlation distribution of base stations in this paper. Base on the system model, the spectrum sharing problem with restricted spectrum resources is further analyzed. On the basis of location information and the interference relation of base stations, a hybrid clustering method, which takes into accounts the fairness of two types of base stations is firstly proposed. Then, auction mechanism is discussed to achieve the spectrum sharing inside each cluster, avoiding the spectrum resource waste. Through combining the clustering theory and auction mechanism, the proposed novel algorithm can be applied to restrain the cross-layer interference and co-layer interference of HetNet, which has a high density of base stations. Simulation results show that spectral efficiency and system throughput increase to a certain degree.

• The KIPS Transactions:PartC
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• v.12C no.1 s.97
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• pp.69-76
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• 2005

To effectively use limited resources in wireless cellular networks it is necessary to predict exactly the amount of resources required by handoff calls at a future time. In this paper we propose a method which predicts the amount of resources needed by handoff calls more accurately than the existing method based on Wiener processes. The existing method uses the current demands to predict future demands. Although this method is much simpler than using traffic information from neighbor cells, its prediction error increases as time elapses, leading to waste of wireless resources. By using an exponential parameter to decrease the magnitude of error over time, we show in simulation how to outperform the existing method in resource utilization as well as in prediction of resource demands.